Highlights from our recent Metis Strategy Summit are below. Check out our Youtube channel and Technovation podcast in the coming weeks for recordings of the conversations.
Organizations across industries are moving beyond initial AI experimentation, focusing on driving implementation, proving and measuring ROI, and developing the next generation of talent as they apply AI to a broader number of business challenges.
As multiple executives emphasized, strong data foundations are essential to any successful AI implementation. Marina Bellini, President of Global Business Services at Mars, noted that the hype around AI has led to more focus on ensuring those foundations are in place. “This is the dream of the CIO: that people will actually start working on data quality.”
This year has also seen increased focus on AI’s ability to deliver value. Augment CEO Scott Dietzen said 2024 “is the year where tech teams are looking for proof and return on investment,” something not always clear or easy to measure for software such as Copilot productivity tools.
Organizations are finding new and innovative ways to apply data and AI to business challenges. Royal Caribbean Group CIO Martha Poulter described how the company transformed traditional food service operations into data-driven processes. Initially, “you would order what you thought, cook what you thought, and serve what you thought. It was gut based,” she explained. By measuring proteins before and after cooking and analyzing everything from ordering to de-thawing to waste, Royal Caribbean was able to generate tens of millions in savings while improving sustainability. “You’d never think food can be an AI problem, but it is,” Poulter said.
Similarly, Avis Budget Group is using an AI-based modeling and prediction system to address asset utilization challenges and ensure cars are on the road for the greatest amount of time. Chief Digital & Innovation Officer Ravi Simhambhatla explained how the company is aiming to break through the 70% utilization ceiling for its vehicle fleet. “If you have physical assets that aren’t being utilized, it’s costing the company money,” he said. “We hit this glass ceiling and asked ourselves why can’t we go to 80% or 90%? It turns out it’s data.”
Technology leaders discussed various approaches to managing and organizing AI initiatives across their organizations. A common thread across nearly all of them was the importance of bringing together technology and business leaders to identify valuable use cases and deliver on them faster. NRG’s Chief Data and Technology Officer, Dak Liyanearachchi, talked about establishing a transformation office that bridges data, business, and technology teams. At Berkadia, an AI Council that includes both business partners and technology leaders drives deeper engagement and keeps discussions focused on value, Chief Information and Innovation Officer Damu Bashyam said.
As mentioned throughout the event, these new organizational structures place particular emphasis on modern technology stacks and data practices. Nicholas Parrotta, Chief Digital and Information Officer at HARMAN International, outlined the company’s evolution from infrastructure-as-a-service to data-as-a-service, and using that data to create more personalized experiences on wheels as the world moves toward autonomous vehicles. “We start with how we do the big stuff with architecture, then product, and now data and being able to drive those as revenue and capabilities,” he said.
Capital One CIO Rob Alexander detailed the company’s platform strategy, explaining how the organization built dedicated infrastructure for machine learning, feature engineering, and now generative AI applications. When it comes to AI, he noted that while it’s “easy to get 70% accuracy out of the box, all the work is getting from 70-75% accuracy, which involves training and fine tuning.” Being in a position to leverage AI today has been a 12-year journey for Capital One, Alexander said, one that has included transforming “everything about who we are” to become a successful technology company and a winner in the banking industry.
Leaders emphasized the need for pragmatic approaches to AI implementation. Mastercard CTO Ed McLaughlin noted three questions a review panel considers when evaluating the feasibility of a new AI initiative: “Does it work, is it worth doing, and does it align to our ethics?” If ChatGPT-style search responses are 10 times more expensive than traditional methods, for example, the question then is whether they can deliver 12 times more value or be that much more useful. McLaughlin underscored the need to assess both the right way to solve a particular problem and whether there are returns on the work being done.
Dietzen added that NPS and engineer satisfaction can also be indicative of value. “If you make engineers delighted, you’ll tend to do well in your organization,” he said.
Chris Davis, Partner and West Coast Office Lead at Metis Strategy, advises technology leaders to ensure that there is product management in every layer of the AI stack, including the application of AI to business processes, the marketplace of horizontal and reusable capabilities across use cases, and underlying foundational models and model development. Business value should be measured relative to components of the stack, especially with generative AI, Davis said.
Effective product management requires teams across the organization to sharpen their product mindset. Cigna’s Chief Digital & Analytics Officer Katya Andresen outlined three elements of that product mindset: identifying real problems for real users, validating through testing and learning, and unlocking value. She cautioned against common pitfalls like “death by a thousand pilots,” in which proofs of concept pile up and eventually become unmanageable. Organizational silos can present a challenge. “We find a lot of opportunities to streamline operations, but there has to be a really deep partnership across tech and ops,” she said. Otherwise, “tech gets upset that ops don’t use their products and ops says well what you gave us didn’t solve our problem.”
Organizations are rethinking their talent development strategies as the landscape evolves. That involves both upskilling internal talent and expanding talent pools across geographies. Land O’Lakes CTO Teddy Bekele described moving from a roughly 50-50 mix of in-house and external talent to a model in which contractors and third parties make up a more significant portion of the talent pool, taking on much of the development work while in-house employees lead the teams. The approach allows for increased flexibility in team sizes depending on shifting enterprise needs. The change was driven by three key factors: accessing expertise, maintaining flexibility to scale teams up or down, and increasing nimbleness.
Upskilling also remains a key focus. At FINRA, Chief Technology Engineering Officer Tigran Khrimian’s team is teaching developers generative AI skills and has seen demonstrable success with using natural language prompting to create “good code” for the company. “Developers with code assistant tools will replace developers who don’t use them,” he said.
Corning’s Chief Digital and Information Officer Soumya Seetharam detailed the company’s three-pronged approach to talent development: creating strategic digital and IT hubs around the world to ensure global talent access; launching a digital literacy program with dedicated “revitalization days” for learning rather than meetings; and expanding the talent pipeline through technology internship and rotational development programs globally. “In the future every person for every function will have some technology in their background,” she predicted.
Technology leadership roles are undergoing significant transformation, reflecting the strategic importance of technology in business operations. According to Katie Graham Shannon, global head of the Digital and Technology Officers Practice at Heidrick & Struggles, the traditional CIO title is becoming less common. Of 23 recent technology leader placements at Fortune 200 companies,18 did not have the CIO title, and 52% were newly created positions with expanded roles. She noted that there is also a shift in reporting structures, with more CIOs reporting to the CEO, and a greater focus on technology leaders’ ability to create and protect value and attract talent, among other responsibilities.
“If we could use the title ‘orchestrator’ it would make more sense,” Shannon added, explaining that today’s technology leaders create value and orchestrate initiatives across the entire C-suite. This expanded scope includes both customer-facing initiatives and internal operational efficiencies with “equal pressure and emphasis” in both areas.
The role is also becoming more business-oriented, particularly in relation to managing technologies like AI. “A properly formatted conversation about AI is not a tech conversation, it’s a business conversation,” observed Henry Man, Co-Founder and Managing Partner at Candela Search. This presents an opportunity for technology leaders to “have a seat at the table” when business colleagues might lean out of technical discussions.
That expanded purview extends to technology leaders on boards or seeking director positions. “There’s no market for a one-issue board member,” said Art Hopkins, who leads the Technology Officers Practice at Russell Reynolds. “You need to show business acumen and a P&L. Go to the CEO and say I’d like to be the executive sponsor of this new incubator. This is a solid step in that direction.”
We are thrilled to announce that our Metis Strategy Summit will take place live in New York City. On Oct. 29 from 9 a.m. to 5 p.m., we’ll hear from technology leaders, investors and entrepreneurs about the trends shaping the business and technology landscape today, from the rapid rise of generative artificial intelligence to the macroeconomic and geopolitical shifts impacting global organizations. Other topics include:
Please note, this is an invite-only event for C-level technology leaders. If you are interested in attending, click here to request an invitation. Stay tuned for a venue announcement and agenda updates coming soon. We look forward to seeing you in New York!
Download pdf, 2.11 MB
Click here for highlights from our most recent Digital Symposium, and stay tuned to our YouTube channel for videos of our panel discussions.)
8:30 a.m. – 9:00 a.m.Registrant Check-in
Arrive early to check in and collect your event materials. This time allows you to settle in, familiarize yourself with the venue, and start connecting with other attendees before the day’s sessions kick off.
Additional arrival information will be distributed to ensure a smooth start to your day.
9:00 a.m. – 9:15 a.m.Welcome and Opening Remarks
Peter High, President of Metis Strategy, kicks off the event with a brief introduction of the day’s sessions and the Metis Strategy team.
9:15 a.m. – 9:45 a.m.AI-Driven Customer Experience
This discussion will explore how organizations are using AI to deliver more personalized and dynamic experiences for customers and employees, and how the digital customer experience is evolving in the era of generative AI agents and more powerful models
9:45 a.m. – 10:15 a.m.Project-to-Product’s Next Frontier
The ongoing shift to product-oriented operating models has begun to erode the traditional silos between business and IT and presented technology leaders with new opportunities and challenges. This panel will examine the future of the product model as companies become increasingly experience-centric and AI becomes a bigger part of the equation.
10:15 a.m. – 10:30 a.m.Entrepreneur Spotlight: Augment CEO Scott DietzenThe rise of generative AI sparked a wave of coding assistants promising new paradigms for software development and greater productivity. In this panel, Augment CEO Scott Dietzen will share insights on the current state of the industry and where coding assistants are headed next.
10:30 a.m. – 10:50 a.m.Coffee and Networking Break
Take a moment to grab a coffee and meet fellow attendees. This break offers a great chance to start conversations, share perspectives, and establish connections that will enrich the discussions throughout the day. Use this time to engage with industry leaders and peers before diving into the sessions.
10:50 a.m. – 11:20 a.m.To Innovate at Scale, You Have to Modernize. How Companies Balance Both.
To take advantage of the latest technologies, organizations need a modern tech stack. At the same time, they need to ensure necessary legacy systems don’t become a drag on progress. In this session, panelists will share how they are driving ambitious modernization roadmaps and creating the mindset for change.
11:20 a.m. – 11:50 a.m.Advancing Data Strategy and Measuring AI’s ValueAs AI experiments have flourished, technology leaders are now focused on another acronym: ROI. Panelists will share how they are measuring AI’s business value, identifying initiatives that will drive the greatest impact inside their organizations, and ensuring a strong data strategy to guide it all.
11:50 a.m. – 12:05 p.m.Fireside Chat: The Path from CIO to CEO Mike Clifton joined Alorica as CIO in 2021. This spring, he was named Co-CEO. The former technology and operations leader at Cognizant, Federal Home Loan Bank of Boston, and the Hanover Insurance Group, among others, will share lessons learned throughout his journey and offer tips for CIOs seeking to expand their purviews. He is joined by fellow Co-CEO Max Schwendner.
12:05 p.m. – 1:05 p.m. Lunch and Networking Break
Recharge and refuel while continuing the conversation with colleagues and new connections. Whether deepening discussions from the morning sessions or exploring fresh ideas, this lunch break offers the perfect setting for meaningful exchanges in a more relaxed environment.
1:05 p.m. – 1:35 p.m.Next-Gen Talent Operating ModelsIn today’s talent landscape, a mindset of continuous learning is key to success. This session will explore how companies are upskilling their teams for the future while navigating a world of work in which tech and business teams are more intertwined than ever.
1:35 p.m. – 2:05 p.m. Responsible AI: Value Proposition and Opportunities Operationalizing AI is widely believed to be a compelling and potentially game-changing value proposition but one that comes with a myriad of unique and dynamic risks. Organizations are therefore aiming to practice “responsible AI”, the development, deployment, and use of AI capabilities in a transparent, accountable, legal, and ethical manner. Panelists share their insights and approaches for developing and deploying AI responsibly for the benefit of their respective organizations and their many stakeholders.
2:05 p.m. – 2:20 p.m.Unlocking ROI: Cloud Strategies for the Next AI Wave
This session will explore the symbiotic relationship between cloud and AI, the modernization decisions CIOs can make now to prepare their companies for the next AI wave, and the workload considerations needed to ensure newfound AI efforts deliver ROI.
2:20 p.m. – 2:50 p.m.The Expanding Innovation Ecosystem
Technology leaders today understand that new ways of thinking don’t come only from inside an organization’s four walls. These leaders will share how they are leveraging external partners, peer networks, and new innovation frameworks access to new technologies becomes ever more democratized,
2:50 p.m. – 3:05 p.m.Fireside Chat: Tanium CEO Dan StreetmanAs hackers get more sophisticated and new tools proliferate, today’s cybersecurity landscape is more complex than ever. In this discussion, Tanium CEO Dan Streetman shares how technology leaders can manage through that complexity and protect their organizations from the next wave of threats.
3:05 p.m. – 3:35 p.m.The Changing Role of the Technology Leader: Executive Recruiter Perspectives
The role of today’s digital and technology leaders seems to be changing as quickly as the technology they oversee. In this panel, executive recruiters share perspectives on how the title and purview of the modern technology executive is evolving as advances in AI and other innovations reshape organizations around the world.
3:35 p.m. – 3:50 p.m. Fireside Chat: Remaining Nimble and Resilient in a Constantly Changing World With the US Presidential election just days away and the global economic outlook in flux, companies across the globe are preparing for a variety of scenarios that could impact their strategies going forward. In this fireside chat, the Co-Head of the Goldman Sachs Institute will discuss how technology leaders can put their organizations in a position of readiness and resilience as they prepare for the opportunities and challenges ahead.
3:50 p.m. – 4:00 p.m.Closing Remarks
Peter High, President of Metis Strategy, will reflect on the day’s key takeaways and the insights shared both onstage and off. As the event draws to a close, Peter will set the stage for future discussions on innovation, technology leadership, and transformation.
4:00 p.m. – 5:00 p.m.Reception
Enjoy light refreshments and continue the conversation in a more casual setting. The reception provides a final chance to network, solidify new relationships, and unwind with peers after a full day of learning.
(Click here for highlights from our most recent Digital Symposium, and check out our YouTube channel for videos of the panel discussions.)
This article was written by Leila Shaban, Research Associate at Metis Strategy
Thank you to everyone who attended and participated in the 17th Metis Strategy Digital Symposium. Highlights from the event are below. Check out Metis Strategy’s Youtube channel and Technovation podcast in the coming weeks for recordings of each conversation.
Companies continue to make progress in their AI journeys, deploying the technology to drive efficiency, productivity and innovation. Technology leaders are focused now on driving adoption, generating buy-in for new initiatives, and rolling out new training programs to ensure teams across the enterprise are able to take advantage of what AI has to offer. Below are a few highlights from the event:
Building a foundation for AI at scale
Nearly all CIOs on stage said scalable infrastructure and high-quality, accessible data are key to driving value from AI initiatives. Over the past few years, many organizations have focused on building data platforms, shifting to cloud and rethinking ways of working in order to deliver AI at scale. “Having a really good data infrastructure is foundational to taking advantage of any of these generative AI capabilities,” Priceline CTO Marty Brodbeck said. Many speakers noted their current efforts to get reliable data into the hands of more teams across their organizations.
Nearly half of MSDS attendees said that the rapid evolution of AI, among other macro issues, will have the biggest impact on their organizations in the year ahead
Exploring new use cases
Many organizations continue to train generative AI on internal knowledge bases to streamline processes and enable more self service. CIOs also see potential around developer productivity.
Bristol Myers Squibb receives thousands of calls from physicians and nurse practitioners each day requesting information about specific, often technical, topics, Chief Digital and Technology Officer Greg Meyers said. MDs on the other side of the call often find those answers in internal documents. Now, an AI chatbot trained on the company’s knowledge base can search through the documents to retrieve answers to these questions much faster. With enough fine tuning, Meyers noted the chatbot could constrain search results to trusted documents and help agents provide near-immediate answers to customer queries.
At UPS, Chief Digital and Technology Officer Bala Subramanian recently launched an internal AI tool for email which can process the tens of thousands of customer emails UPS receives on a daily basis, connect relevant information across internal policies and procedures, and generate responses for contact center employees. This ultimately improves worker productivity and reduces response time. UPS also launched an AI chatbot to help employees answer HR questions. Subramanian noted that the company is proceeding slowly due to the sensitive information and personal data in HR systems, and emphasized the critical role of risk management and governance.
At AstraZeneca, AI is significantly reducing the amount of time it takes to conduct research. Cindy Hoots, Chief Digital and Information Officer, described a generative AI-enabled research assistant that quickly searches both internal and external data to answer complex scientific questions. The assistant has helped reduce the time it takes to conduct a literature review from months to minutes, she said. Hoots is now focused on scaling AI adoption. About 15,000 employees use the research assistant, she said, while roughly 5,000 use Copilot solutions and almost 80,000 have access to AstraZeneca’s internal ChatGPT.
At KB Home, employees evaluate a number land deals across 35 markets every week. Aggregating property data from different sources to determine whether to make an acquisition used to take 30-90 days, CIO Greg Moore said. With AI, KB Home can now complete the process in less than two weeks. The faster turnaround now enables the company to make more evaluations and manage more potential deals in the pipeline.
Developer productivity is another area of rapid experimentation. Many of the tools offered by major vendors are in their early days and have room to grow, said Brodbeck of Priceline. The team is exploring solutions that can learn from Priceline’s codebase and provide a richer and more contextual experience. Whether for code generation or another use case, Brodbeck said companies will likely need to deploy retrieval-augmented generation (RAG) to deliver more productivity.
At Augment, CEO Scott Dietzen is thinking about how to retrieve knowledge from internal codebases in a way that protects intellectual property and reduces the risk of leaking sensitive information. The team started with basic engineering tasks that can make developers more productive rather than trying to replace them altogether. Demand for these kinds of tools will last for at least a decade as organizations produce more software, Dietzen said.
The top use cases for digital assistants/copilots that are driving the most value for MSDS attendees are code generation, self-service chatbots, and enterprise search/knowledge management
Bringing the organization along on the AI journey
To drive a common understanding and widespread adoption of AI, CIOs have increased their focus on storytelling and talent development.
At Wilson Sonsini, Chief Information Officer Michael Lucas is focused on cascading AI communications across the firm. His team started with a general awareness campaign. That included employee town halls to communicate the broader strategy as well as AI-centric briefings to partners. Given the sea of media coverage about AI, Lucas encouraged leaders to develop their own elevator pitch to help their organizations clearly understand the company’s AI strategy. Driving a common understanding across the firm is key to driving adoption. “We feel like we need to learn, understand, enrich, and then apply and operationalize,” Lucas said.
At Liberty Mutual, Global Chief Information Officer Monica Caldas is delivering customized employee training and connecting it to the company’s capacity demands across 27 countries. It’s part of a workforce strategy plan called “skills to fuel our future.” First, the company surveyed more than 5,000 employees to determine their skill level around topics like data, data engineering and software engineering. Next, the company mapped over 150 skills, connected them to 18 domains, and assessed how and where to invest in training.
Now, Caldas and her team are helping employees apply that training to a variety of career paths. Instead of a traditional career development ladder, Liberty Mutual is evaluating how to map skills to different jobs and create a “jungle gym” or “lattice of opportunities.” The focus on specific skills, Caldas said, “will help you position your capabilities as a tech organization not just for today, but also plan out where it’s going.”
Education at the executive level is also critical. To bring executives along on the journey, Caldas introduced a program called Executech that helps improve organizational data literacy and elevates the digital IQ of decision makers. Enhancing teams’ tech acumen gives leaders the confidence to start conversations early about important technology topics like API integration.
AI adoption may not be uniform, and there is still lots to learn about how it will impact specific roles. At Eli Lilly, employees who have incorporated AI tools into their workflow are reluctant to give them up, said Diogo Rau, Chief Information and Digital Officer. However, widespread adoption is a continuous and sometimes challenging process, “a lot harder than anyone would guess,” Rau said.
Rau often gets more questions about the risks of AI than how it can be used to improve products and services. Another challenge is that teams excited about creating AI bots aren’t always excited about maintaining or training them. “There are lots of good firefighters, but not every firefighter wants to be a fire inspector,” he said.
62% of technology executives who attended the Metis Strategy Digital Symposium anticipate that the most significant impact that AI will have on talent is increased productivity
Leveraging ecosystem partners
Achieving the transformative potential of generative AI will require collaborating with networks of vendors, startups, peers, and academics. In addition to providing technology solutions, these ecosystem partners can help upskill employees, explore emerging challenges, and prototype new use cases.
Amir Kazmi, Chief Information and Digital Officer at WestRock, draws learnings from both established technology partners and startups. He also brings in academics and peers from other companies to share wins and lessons learned about generative AI.
Regal Rexnord’s Tim Dickson, Chief Digital and Information Officer, uses hackathons and internal events with vendor partners to increase the company’s digital IQ. The company also offers self-paced training from about 10 partners that includes pathways to certification. In the past seven months, more than 100 employees have received training on GenAI fundamentals from Databricks and robotic process automation from UiPath, as well as certifications from Microsoft Copilot. Even if employees don’t use these tools every day, increasing the number of people with technical skills means more individuals “can at least help, or even lead, these initiatives across the organization,” Dickson said.
CommScope CIO Praveen Jonnala, like many other technology executives, is thinking about how to drive a cultural shift around AI. He spends about 80% of his time on organizational change management and culture. He is also leaning into existing partnerships to take advantage of new AI solutions and educate teams. For example, he took business teams to Microsoft for a full day to learn more about the technology and its ability to unlock new business opportunities.
Advancements in artificial intelligence have opened the door for innovative ways companies can deliver unique and personalized customer experiences. Join us virtually on May 21 for our next Metis Strategy Digital Symposium where global business and technology executives describe how AI has improved their organizations, how they are continuing to foster a customer-centric mentality, and what the future of technology and digital looks like in the Age of AI.
C-level technology leaders, register here reserve your spot and stay tuned for agenda updates. We look forward to seeing you!
(Click here for highlights from our most recent Digital Symposium, and stay tuned to our YouTube channel for videos of our panel discussions.)
12:00 – 12:15 p.m.
Welcome and Introductions
Welcome and introduction to the Metis Strategy team
Peter High, President, Metis Strategy
12:15 – 12:40 p.m.
Customer Experience in the Age of AI
Marty Brodbeck, Chief Technology Officer, Priceline
Bala Subramanian, Chief Digital & Technology Officer, UPS
Moderated by Steven Norton; Co-Head Executive Networks, Research, and Media; Metis Strategy
12:40 – 1:05 p.m.
Driving Digital Innovation Ahead of Disruption
Greg Moore, Chief Information Officer, KB Home
Michael Lucas, Chief Information Officer, Wilson Sonsini
Moderated by Chris Davis, Partner & West Coast Office Lead, Metis Strategy
1:05 – 1:30 p.m.
Shaping the Story: Future-Oriented Talent and Innovation
Monica Caldas, Global Chief Information Officer, Liberty Mutual
Amir Kazmi, Chief Information & Digital Officer, WestRock
Moderated by Alex Kraus, Partner & East Coast Office Lead, Metis Strategy
1:30 – 1:45 p.m.
Entrepreneur Spotlight: CEO of Augment
Scott Dietzen, CEO, Augment
Moderated by Peter High, President, Metis Strategy
1:45 – 2:15 p.m.
Emerging AI Opportunities in Pharmaceuticals and Healthcare
Diogo Rau, Chief Information & Digital Officer, Eli Lilly
Cindy Hoots, Chief Digital Officer & Chief Information Officer, AstraZeneca
Greg Meyers, Chief Digital & Technology Officer, Bristol Myers Squibb
2:15 – 2:40 p.m.
Blueprint for AI Organizational Readiness
Praveen Jonnala, Chief Information Officer, CommScope
Tim Dickson, Chief Digital & Information Officer, Regal Rexnord
Moderated by Michael Bertha, Partner & Central Office Lead, Metis Strategy
2:40 – 2:55 p.m.
Closing Remarks and Adjourn
Click here for highlights from our February Metis Strategy Digital Symposium, or watch the panels on our YouTube channel. We look forward to seeing you!
Thank you to everyone who participated in the 15th Metis Strategy Digital Symposium. Check out some event highlights below, and stay tuned to the Metis Strategy YouTube channel and Technovation podcast in the coming weeks for full sessions.
For businesses across the globe, 2023 was the year of generative AI. Since ChatGPT’s launch and meteoric rise last November, digital leaders have been experimenting with a range of new GenAI products and services as they searched for the most effective, and least risky, way to bring the technology to their organizations. As GenAI (and the hype around it) took off, it prompted important and complex conversations about the future of work and how to accelerate innovation while managing new and significant risks.
A little over a year in, leaders continue to experiment with new tools as a means to drive new value and improve the experience for customers and employees. They are also turning their focus back to the fundamentals, building strong data governance and data hygiene practices to ensure their organizations have the strategic and operational foundation needed to take advantage of their data.
GenAI is still the shiniest thing out there, but as technology leaders look to 2024, they are focused on integrating it, and AI more generally, into their organization’s operating model and championing use cases that can produce tangible value at scale.
If year one of generative AI was about deciphering its risks and enabling organizations to experiment safely, year two will be about finding ways to drive value at scale. With new use cases emerging regularly, technology leaders are figuring out how to prioritize the initiatives that show the most promise to the business.
At BNSF Railway, CIO Muru Murugappan and his team use a value feasibility matrix to assess technical feasibility, timing, and complexity of new AI initiatives versus the expected payback. Some companies are also using business interest and executive sponsorship as criteria for deciding which initiatives to pursue. One overarching lesson: the more ambitious the project, the more challenges it is likely to face.
In addition to delivering on generative AI’s opportunities, CIOs now are contending with a new set of costs as well. Speakers also highlighted the fact that simply “turning on” a new AI tool does not guarantee value.
For many, the path to unlocking AI’s value means getting back to basics. “This is reinforcing the need for analytics fundamentals,” said Filippo Catalano, Reckitt’s Chief Information & Digitisation Officer. “If you don’t have good data practices, at best you’re going to use whatever others are using, but you will not be able to generate competitive advantage. Great data practices … become even more important.”
While new AI tools have helped organizations explore the art of the possible, they also have created a number of new risks, from more advanced cyberattacks to the negative impact of training algorithms on biased data. Just over one quarter of attendees cited data privacy as the largest AI-related risk to their organizations. The delicate balance for CIOs: managing the new risk landscape while empowering teams across the organization to experiment and innovate.
Martin Stanley, who leads the Cybersecurity and Infrastructure Security Agency R&D portfolio, is currently assigned to the Trustworthy and Responsible AI program at NIST. Among his team’s goals is promoting adoption of the AI Risk Management Assessment Framework, which provides a construct for deploying AI responsibly and managing risk among a diverse set of stakeholders. The framework means to address a few key concepts: building a language around AI risk beyond simply monitoring potential vulnerabilities, creating a shared understanding of how to manage that risk across the enterprise, and driving a trust-driven, “risk- aware culture” that influences how people interact with the technology.
CIOs are working to build trust into every layer of the process. As Vishal Gupta of Lexmark noted, technology is only as good as people’s ability to adopt it and trust what it’s saying. “Otherwise, you really can’t do much with it.” At Lexmark, Gupta is taking a layered approach, creating trust in the underlying data via stronger governance and management practices; driving trust in AI and machine learning models by setting up an AI ethics board and rigorously vetting use cases; and continuously testing to validate AI’s ability to truly drive business outcomes.
New AI tools such as developer copilots have the potential to drive significant productivity gains and reshape how many of us do our jobs. As humans and technology continue to interact in new ways, CIOs are focused on optimizing the digital employee and customer experience while helping teams navigate a changing world of work. Indeed, 50% of MSDS attendees plan to apply AI and generative AI to impact employee experience and productivity, with 30% planning to use it to improve the customer experience.
At TransUnion, CIO Munir Hafez and his team are taking a human-centered approach to the digital experience with a focus on ensuring tech equity and establishing policies that allow teams to safely experiment with new tools, among other initiatives. When investing in employee experience, “our goal was to create a consumer-grade experience that enables employees to be engaged and productive in an environment that is integrated, modern, frictionless, and connected anywhere,” Hafez said.
AI’s ability to deliver frictionless employee experiences and deliver real productivity gains far beyond IT is likely to be a big focus for 2024. Many panelists noted how access to accurate, AI-enabled real-time data can help field managers make decisions more quickly, and how technologies like digital twins can streamline design processes and speed time to market.
Navigating an uncertain economic environment and rapid technological advances are top of mind for CIOs in the year ahead. The convergence of these two factors continues to underscore the importance of bringing a strategic, value-based lens to AI development and adoption.
The hype around generative AI may come back down to earth in 2024 as companies begin to understand its complexities in the enterprise. “I think there is going to be…a little bit of a trough that we’ll hit with GenAI,” said Graphic Packaging International CIO Vish Narendra. “The commercialization of that is going to take a little longer in the enterprise than people think it’s going to.”
As technology becomes embedded across a broader range of products and services, the spotlight will be on CIOs to show the art of the possible, create future-ready workforces, and manage risk. Given their broad purview that spans horizontally across organizations, CIOs are well positioned to influence and shape enterprise strategy in the year ahead, setting their companies up for continued resilience and growth.
Thank you to everyone who attended and participated in the 13th Metis Strategy Digital Symposium. As 2023 approaches the halfway point, leaders convened to discuss the rapidly changing economic, technological and geopolitical landscape and its impact on strategy in the months ahead.
Highlights from the event are below. Stay tuned to the Metis Strategy Youtube channel and Technovation podcast in the coming weeks for recordings of individual panel discussions.
As tensions continue to escalate around the world, technology leaders must understand and prepare for new geopolitical dynamics. Jared Cohen, Co-Head of the Office of Applied Innovation and President of Global Affairs at Goldman Sachs, argued that the notion of hyperglobalization ended before the COVID pandemic and that the world now faces a reorientation of supply chains and capital flows.
Technology executives are playing close attention to changing value chains and alliances. “Technology is changing geopolitics, and geopolitics is changing technology,” said Cohen. One of the biggest areas where technology is currently influencing geopolitics is in the area of generative AI, which Cohen dubbed as the “most disruptive experiment in anarchy” since the internet. He warned about the risk of people deploying large language models for “bad use cases” to cause real problems in international systems. While there is significant discussion around which companies have superior large language models, he noted a desire for the conversation to focus more on the implications of generative AI for the world.
George Lee, another Co-Head of the Applied Innovation Office at Goldman Sachs, said generative AI is dominating discussions with boards and management teams around the world. While its rapid growth offers many fascinating possibilities, it has also disturbed the human desire for order and linearity. Lee noted how creators are being constantly surprised as the emerging technology develops. “Anyone who tells you they know where this is going, how fast it’s going, and what our destination is, is just wrong.”
While conversations around generative AI have taken the world by storm, technology leaders today play a key role in translating the hype into reality. That means not only vetting new use cases for the technology, but also educating their teams about the benefits and risks of generative AI and creating policies that encourage innovation while ensuring responsible use.
“It takes courage to take a step back and say, maybe let’s not fall into the hype, let’s go about this in a methodical way,” said Digi-Key Electronics CIO Ramesh Babu. Babu created a community of practice around AI that includes stakeholders from across the organization and a list of key terms with consistent definitions to keep everyone on the same page. He also created a network of influencers within the company that serve as “education ambassadors” for the organization.
Allen Smith, CIO at Baker Tilly, recommended leaders approach generative AI like they would any other technology. “There is a difference between home runs and singles. Singles in this case are your front. Go do something, show it, have a tangible example,” he said. “Now, it can be used to fuel the really good ideas.” He also expressed concerns about the security and privacy risks that generative AI poses, noting the dangers that may arise from inputting sensitive data into services like ChatGPT and the need to identify and mitigate potential bias.
As companies continue to navigate an increasingly complex and competitive landscape alongside shifting customer demands, innovation will be a key source of differentiation for industry leaders. Many organizations find that design thinking frameworks help to formulate the strategy and direction that will help ensure they can harness that innovation effectively.
Michael Newcity, Chief Innovation Officer at ArcBest and President of ArcBest Technologies, highlighted the importance of empathy and deep listening to uncover unsaid user needs. To advance design thinking, Newcity has sponsors responsible for thinking through ROI, teams, timing, and other tactical factors that will help gain executive sponsorship and drive innovation initiatives forward.
Rob Krugman, Chief Digital Officer at Broadridge Financial Solutions, discussed the importance of understanding the value proposition for their customers’ customers, then working backwards to deliver value for Broadridge clients. “If we can solve the needs of that end customer, our client’s customer, the likelihood of us being correct is more likely than not,” he said. Across the ecosystem, “we’re all generating value, and we have a much better understanding of how to actually present and tell that story around value.” His team also works with the VC community to stay on top of emerging technologies and asks hypothetical questions to try and understand their impact on Broadridge.
Krugman laid out two different types of innovation: sustainable innovation, led by the product organization, and disruptive innovation. The key to both: “iteration, iteration, iteration, all based on validation.”
No matter the scope of a change initiative, whether adopting an emerging technology or implementing agile ways of working, leaders must act as role models for change within their companies and drive cultural transformation from the top down.
Hyatt Hotel Corporation’s CIO Eben Hewitt, who is working to nurture a product mindset and drive enterprise-wide behavior change, said engagement starts with the CEO and executive board. “When you see a boss acting that way, then you act that way,” he said. “You have to model it.” Hyatt also uses a “people playbook” to easily guide teams to resources they need for specific use cases, and Hewitt has encouraged the development of high-level cultural principles that inform behaviors throughout the organization.
Ultimately, culture is the most important driver of any organizational change. While many are familiar with Peter Drucker’s quote,“culture eats strategy for breakfast,” Ascension Chief Digital Officer Rajan Mohan added that “culture eats transformation for lunch.” At Ascension, Mohan has helped lead a transformation that includes a digital product orientation, end-to-end accountability and a focus on Ascension’s mission to reach underserved communities. With that shift has come a new mindset, as well as metrics that are more closely tied to business outcomes. “We’re not just measuring for measurement’s sake,” he said. “It is to demonstrate and deliver continuous value.”
Kathy Kay, CIO at Principal Financial Group, said driving cultural change requires leaders first and foremost to be their authentic selves. That includes a willingness to be vulnerable. “If you can’t show vulnerability…I think it sets a tone for people feeling less open,” she said. In addition to bringing that openness to her role, she works with peers at Principal to ensure leaders are giving teams necessary support, removing blockers, and helping them understand how their contributions matter. Kay also discussed the importance of adapting communications to local norms, particularly when working with teams across the globe.
Building a high-performance culture is of course linked to finding and developing the best talent. World Fuel Services CIO Josh McLean said some of the best people typically look for three things in their work: aspirational goals that give a sense of purpose; challenging work that helps them learn and grow; and being surrounded by other highly talented people. “I try to make sure those things are all present and in harmony, or a work in progress to get there.”
Now a household name in personal finance, Intuit was founded in 1983 by Scott Cook. The company’s four decades of success — the company reported 2022 annual revenue of $12.7 billion and a portfolio of valued products including TurboTax, QuickBooks, Credit Karma, Mint, and Mailchimp — has been possible in part by the company’s dedication to innovation. Innovation is necessary for modern businesses to maintain a competitive advantage, meet evolving customer needs, and attract top talent. Prioritizing innovation can also improve the IT-business relationship by positioning the IT organization as a partner that is uniquely suited to evaluate ideas and pursue those most likely to succeed.
Two conversations on Peter High’s Technovation podcast with Intuit’s Chief Information Security and Fraud Prevention Officer, Atticus Tysen, and Chief Data Officer, Ashok Srivastava, show how Intuit has reinvented itself through IT-driven experimentation driven by a desire to solve real business problems and foster a strong IT-business partnership in the process. These interviews show how a formalized test-and-learn process, a set of practices formalizing the steps taken to ideate, conduct pilots, analyze results and scale valuable ideas across an enterprise, can be used to systematically scale innovation and deliver a range of benefits. Among them:
–Change the culture of the IT organization to encourage more frequent ideation and support team members in voicing ideas they might not have previously
–Empower the IT organization with data and agility that allows it to show up as a true business partner
-Increase the influence of the IT organization to build trust and credibility with the business
-Eliminate silos and encourage expansive thinking to ensure the creation of durable, enterprise-grade solutions
Intuit’s innovation journey highlights these improvements in action, as we’ll see below. We will also share Metis Strategy’s 10-step test-and-learn process that you can implement in your own organization.
“At Intuit, experimentation is everyone’s job,” said Brad Smith, Intuit’s former Executive Chairman. Building a culture of experimentation and innovation requires creating a safe space to allow risk-taking and encourage more people to bring ideas to the table. Intuit’s IT organization prides itself on its hypothesis-driven testing culture designed to pursue new ideas with clear business outcomes rather than rely on legacy solutions, bolstering the IT organization’s strategic value.
Solidifying a test-and-learn process positions IT organizations to play a more active role with business teams, understand customer needs, unlock innovation opportunities, and change the culture of IT from reactive order-takers who “just” keep the lights on to partners who help shape the future of the enterprise. At Intuit, the test-and-learn process is guided by the company’s two innovation competencies, Customer Driven Innovation and Design for Delight, which drive all solution development and ensure strategic focus throughout the ideation process. These defined principles, outlined and enforced by the Intuit labs, help narrow down and develop winning ideas by ensuring new solutions unlock value and solve real problems.
IT leaders must be change champions to ensure the successful adoption of a test-and-learn process and the subsequent shift in culture required to improve the IT-business partnership. Broad participation in the test-and-learn process happens when the process is accessible and engagement is encouraged across all roles and tenures.
Intuit’s technology leaders incentivize innovation by giving employees unstructured time for ideation and solutioning, which fosters their participation in the test-and-learn process and refines the company’s ideation muscle outside of day-to-day responsibilities. Other incentives used to ensure test-and-learn participation include the Scott Cook Innovation Awards, which recognize employee innovators; mentorship programs to guide new participants through the test-and-learn process; rotational development programs to upskill employees; and workshops to refine critical thinking skills.
By enabling test-and-learn experimentation, IT leaders can begin to change their organizations’ culture and empower the IT organization to become a true business partner. Intuit notes that the test-and-learn culture has enabled a durable competitive advantage that allows the company to differentiate itself from competitors while focusing on what matters most to its customers.
In a recent survey, 63% of CIOs reported that they struggle to communicate IT’s business value to business partners. Formalizing a test-and-learn process can improve that communication by giving IT leaders the data needed to tell their innovation story and tie new ideas to tangible business outcomes.
Test-and-learn experimentation produces data surrounding the feasibility and value of scaling an idea. Ideas that are ultimately chosen to scale are backed by data on their projected success and business impact. IT organizations can also provide their business counterparts with data on risk mitigation and projected costs based on the initial testing.
Tysen names data as the primary enabler for successful test-and-learn experimentation as it creates opportunities to take calculated risks. Tysen and Srivastava work together to break down data silos and democratize data so teams can more effectively derive and deliver insights.
Pairing test-and-learn with agile delivery methods can promote a culture that rewards failing fast, iterating, and delivering value in the shortest sustainable time. Intuit focuses on lessons learned from experiments rather than if one was a success or a failure.
Intuit’s innovation competency, Design for Delight, further showcases agile ways of working by prioritizing constant customer feedback, quick prototypes, and iterative solutions to ensure initiatives pursue maximum customer value.
Since experimentation often happens on top of day-to-day responsibilities, transparent and realistic expectations must be set to prevent under-delivery or delays and preserve working relationships. Tysen manages business expectations by ensuring that the IT organization outperforms traditional IT metrics as a prerequisite for experimentation. Operational excellence builds trust between IT and business partners and creates space for test-and-learn experimentation that builds that trust further via successful ROI-generating innovation initiatives.
The typical IT delivery muscle must be refined, and often rebranded, to position the IT organization as an innovator rather than an expensive bottleneck. Tysen says his organization builds credibility with the rest of the business by leveraging business metrics and KPIs, not just IT metrics, when evaluating ideas generated through the test-and-learn process. Applying business metrics to IT-generated ideas ensures that the IT organization and the business are being held to the same standard and can help ensure fair appraisal and understanding of each initiative’s value.
In a recent survey, fewer than 5% of CIOs reported that they spend time talking about business outcomes or measuring the business outcomes created by the technology they deploy. This is a significant oversight preventing buy-in and limiting the IT-business partnership. Tysen emphasizes the importance of listening to partners to ensure his organization accurately understands their problems so he knows what is needed to create relevant soultions. The consistent use of business metrics across Intuit also ensures the appropriate acknowledgment of IT’s test-and-learn successes.
Test-and-learn experimentation breaks down traditional business silos and seeks to prevent ad-hoc ideation, eliminate repetitive solutioning, and facilitate cross-functional collaboration. It also promotes enterprise thinking, a practice of monitoring cross-functional requirements, scalability considerations, and long-term needs such as reducing future rework and technical debt.
Srivastava notes that Intuit’s process for test-and-learn experimentation relies on conducting deliberate tests that solve specific and identified problems rather than needless, temporary solutions. Test-and-learn experimentation not only brings MVPs to life with speed but also facilitates deliberate and intentional conversations about long-term considerations and dependencies during the product creation process, ensuring that the final product meets as many consumer needs as possible.
When working with clients seeking to streamline and scale innovation, we use a 10-step test-and-learn process to govern the intake of ideas, manage stakeholder expectations, accurately reflect capacity, and capture data to inform a solution’s journey. This process helped a recent client identify and eliminate silos that hindered collaboration while elevating the IT organization to the status of a business partner rather than an order taker.
Implementing a test-and-learn experimentation process enables an organization to narrow an infinite number of ideas and pursue only those that will deliver the most value. The IT organization is uniquely positioned to facilitate this process and help the business identify winning ideas due to its digital testing capabilities and data collection methodologies.
Working closely with business partners can help teams across the organization avoid placing big bets on ideas that may drain their resources without delivering the needed value. Prioritizing resource allocation based on test data and iterating throughout the solution development process creates a virtuous cycle where the business will increase its speed to market for winning ideas while guaranteeing maximum customer satisfaction.
The benefits that come from implementing a test-and-learn process will not be realized overnight. A structured approach to change management and user adoption is needed to ensure an effective transition. It makes sense to start small. With support from internal change champions, consider piloting a beta test-and-learn process, secure quick wins, and use that momentum to facilitate a broader rollout.
Once adopted, an enterprise might face execution hurdles that prevent maximum value realization. For example, a company may not have the discipline needed to define the hypotheses that drive testing, resulting in the creation of tests that do not produce the needed information.
Alternatively, existing data collection and analysis capabilities may not be sufficient to derive conclusive test results. An enterprise may also suffer from “analysis paralysis,” which can create stagnation when a test fails and lacks ownership over revisions. To learn more about avoiding these experimentation pitfalls, see this article that outlines how business experimentation frameworks can help mature a test-and-learn culture across an enterprise.
Our next Digital Symposium is just around the corner. Join us on February 16 as technology executives and other industry leaders discuss how AI is transforming their companies, the role of technology in driving sustainability initiatives, and how to build a culture of innovation in trying times.
CIOs and other technology leaders, register here to reserve your spot today and stay tuned for agenda updates. We look forward to seeing you!
12:30 p.m.
Welcome and introduction to the Metis Strategy team.
Establishing a Data Strategy in Complex Organizations
Krzysztof Soltan, Chief Information Officer, Vulcan Materials Company
Anupam Khare, Chief Information Officer, Oshkosh Corporation
1:05 p.m. – 1:30 p.m.
Talent’s Strategic Role in Making Transformations Stick
Sastry Durvasula, Chief Information and Client Services Officer, TIAA
Ramon Richards, Chief Information Officer, Fannie Mae
1:30 – 1:55 p.m.
From CIO to COO: Tech Leaders’ Expanding Operational Purview
Rob Lux, Chief Operating Officer & Fmr. Co-CEO, Cenlar
Mark Wassersug, Chief Infromation Officer & Fmr. COO, Intercontinental Exchange Inc.
1:55 – 2:20 p.m.
Becoming an AI Company
Katia Walsh, Chief Global Strategy & Artificial Intelligence Officer, Levi Strauss & Co.
George Brady, Chief Information Officer, loanDepot
2:20 – 2:45 p.m.
Cultivating an Enterprise Mindset
Michelle Greene, Chief Information Officer, Cardinal Health
Marco Argenti, Chief Information Officer, Goldman Sachs
2:45 p.m.
Closing remarks and adjourn
Click here for highlights from our December Digital Symposium, or watch the panels on our YouTube channel. We look forward to seeing you!
Thank you to all who attended the 11th Metis Strategy Digital Symposium. As we enter 2023, many organizations are seeking faster pathways to growth and opportunities to boost resilience in anticipation of economic headwinds. Nearly 60% of attendees noted rising inflation and interest rates as the macro issue that will have the biggest impact on their organizations in the year ahead.
Modernization efforts remain a priority as companies seek to drive efficiencies and revenue growth. Chief Information Officers and their peers are also strengthening relationships with business partners as digital technologies play an increasingly greater role in product development, operations, and customer experience.
Below are highlights from the event. Stay tuned to the Metis Strategy YouTube channel and Technovation podcast in the coming weeks for recordings of individual panel discussions. In the meantime, click here to request an invitation for our next virtual event on February 16, 2023.
Poll: Which macro issue do you anticipate will have the biggest impact on your organization in the year ahead?
In preparation for the year ahead, technology leaders noted they are:
As economic pressures add potential challenges to organizations across industries, technology leaders are deepening relationships with business partners to deliver tangible value quickly.
At Magna International, Chief Digital and Information Officer Boris Shulkin is focusing his efforts on identifying use cases and partnering with business teams on execution, adding that “credit can be shared when things go well.” Shulkin noted that his role is rising in importance as cybersecurity and operational efficiency become more critical to the bottom line of the company’s manufacturing facilities.
At supermarket chain Giant Eagle, CIO Kirk Ball brings front line workers into the product development process from the start to ensure it aligns with their needs. Spending time in the shoes of end-users helps eliminate friction and provide them with the necessary tools, data, and capabilities to do their jobs. He also continues to engage with peers and business partners across Giant Eagle on the company’s transformation efforts, which will be executed over the next three to five years. “It’s not my strategy, it’s our strategy,” he said.
The increased collaboration with teams outside IT underscores the need for more customer- and business-centric thinking. Jennifer Hartsock, Chief Information and Digital Officer at Cargill, emphasized the need to think as a business leader first and a technology leader second, working alongside peers to understand the business context, develop strong relationships, and focus on solutions that truly serve the broader organization. “Sometimes we’re not prepared to truly understand what we’re trying to enable,” Hartsock said. She encouraged other leaders to lean into tough conversations, make tradeoffs where necessary, and meet others where they are so that their voices are heard and strategy creation becomes a “together conversation.”
As technology and digital leaders continue to lead cross-functional initiatives, they’re proactively looking at new technologies to create new opportunities and address existing challenges. At Tractor Supply Co., one area Chief Technology, Digital Commerce, and Strategy Officer Rob Mills is focusing his efforts is M&A. At the table with C-suite peers, his purview allows him to articulate not only how to integrate a particular acquisition, but also the impact it will have on the company’s technology platform and architecture years down the road. That strategic focus opens new conversations about how the technology organization can best adapt to ensure any M&A activity has the needed processes and technologies behind it to drive long-term opportunities.
While companies continue to build out internal products and services that support the customized needs of their business, some MSDS speakers have taken the opportunity to commercialize their offerings to customers, using technology as a means to connect to partner ecosystems. At Pilot Company, Chief Technology Officer Michael Rodgers developed a cloud- and API-first strategy that focuses on utility, functionality, and efficiency for drivers and team members. The company has built a platform that allows the company to expose those APIs to other trucking companies. This approach allows Pilot to embed its technology directly into apps like GasBuddy, giving drivers using the app the ability to engage seamlessly with Pilot’s services.
Meta’s rebrand as enterprise engineering meant embracing two broad mindsets: understanding and incorporating internal employees into product building, and making a fundamental shift to a “build” culture that can provide customers with custom tools, technologies, and platforms needed to do their jobs in the most effective and efficient way possible, CIO Atish Banerjea said. “You’re essentially going away from a mindset where your engineers are just taking in a third-party system and configuring it.” Building tools for internal users has also influenced development of commercial products. One product designed to make onboarding information accessible to new Meta employees ultimately became part of the company’s Workplace offering for external customers.
At Toptal, the world’s largest remote working company, CEO and Co-Founder Taso Du Val spoke to the benefits of building platforms, paired with robust data and information architecture, to drive greater agility. Since Toptal built and owns all parts of its customized software platform, it is able to create synergies, scale processes, and make changes more quickly. On the flipside, the customized nature of those internal systems makes it unlikely those technologies could become a commercial product.
At XPO, CIO-turned-CEO Mario Harik is driving a strategy focused on growth and using technology to better serve customers, help goods move through the supply chain, operate more productively, and efficiently expand margins. As XPO grows, there has been more of a focus on financial outcomes and tech stacks contributing to company expansion.
During his time as CIO, Harik learned to prioritize the commercial outcomes of technology solutions, and emphasized the importance of financial acumen. “Knowing the impact on the top line and the bottom line is essential for investments and getting expected outcomes,” Harik said. As MSDS attendees contemplate an expanded role in the C-suite, they are looking to sharpen customer centricity and financial acumen.
Poll: As you contemplate an expanded C-suite role, which skill or focus area are you most looking to sharpen?
Kelly Kent, Chief Transformation Officer at ServiceNow, said her work with a number of organizations on their transformation efforts is surfacing new conversations around metrics. While productivity is still top of mind in any transformation initiative, companies now are asking about the best ways to measure customer and employee experience, as well as measure revenue impact from digital channels. The ability to track and manage those metrics, both financial and not, will be key for CIOs as they look to move at scale and with speed for their companies in 2023.
Today’s emerging technologies are tomorrow’s big disruptors. To make organizations more nimble, technology executives are focused on creating more opportunities for innovation and improving test-and-learn processes. Gail Evans, Chief Digital and Technology Officer for Disney Parks, Experiences, and Products, first listens to customers, cast members and others to better understand the outcomes to chase. She encourages teams to “test before you invest” – to pause and think about what to test, assess the cost of building, and fully consider the value that a new solution would deliver to an end user before investing heavily in a new initiative.
Evans encouraged other executives seeking to expand innovation efforts to pay close attention to and understand mega-trends, have a game plan for responding to major technology and business disruptors, and ensure innovation is open to everyone at the company rather than just one person or one team. “Every employee that is in your company innovates something.”
Poll: How much of your IT budget is currently allocated toward ‘grow/transform’ activities?
At Little Caesars, CIO Anita Klopfenstein helps operationalize innovation through “Area 51,” a group that comes up with a number of potential solutions that haven’t gone into production, such as efforts to reduce waste or automate production lines. Key success metrics are tied to each initiative. If something shows promise, teams will build a prototype and roll it out with a franchisee that is open to new technology. They will develop the technology and measure progress until it reaches the desired success metrics before gradually rolling out successful initiatives systemwide. To drive innovative thinking, Klopfenstein encourages members of the IT team to work in stores a few times a year to understand how the technologies they have built impact everyday workflows. “There have been several cases where just moving a button from one side of the screen to another…really impacted the operations of the store.”
In interviews with more than 100 digital and technology leaders on the Technovation podcast in 2022, executives shared the technologies and trends they believe have the potential to deliver significant value to their organizations in the years ahead. For the fourth year in a row, analytics, machine learning/AI, and cloud were the top three trends on executives’ radars.
A closer inspection of the interviews finds that more analytics use cases are bearing fruit across organizations as teams place greater emphasis on data strategy and governance. Developing solid data foundations enables new capabilities and opens the door for AI and machine learning at scale. We expect to see this focus continue in the year ahead.
Some new trends also began to emerge this year, including the metaverse and IT’s growing role in environmental sustainability and other ESG initiatives. There is also continued interest in the new ways of working and the tools and practices that will bring them to life. See below for more on the trends that are rising in importance in the year ahead.
Companies across industries are increasingly leveraging machine learning models to make sense of the large amount of data they collect. Today, machine learning capabilities are “not just niche to businesses that try to answer decision support-like type questions that rely on predictability,” said Neal Sample, former CIO of Northwestern Mutual. “Entire industries are being upended by better thinking around data.” What does this better thinking look like? Increasingly, it means leveraging data and analytics capabilities to deliver differentiated products and services for customers.
Anil Bhatt, Global CIO of Elevance Health (formerly Anthem Inc.), detailed how AI helps deliver better customer experiences through personalization. The symptom triage function in the company’s Sydney Health App, for example, can identify the symptoms a member is experiencing and analyze why they are reaching out for care, helping them receive personalized care more quickly and driving higher member satisfaction.
Similarly, Rite Aid’s Chief Digital and Technology Officer, Justin Mennen, notes that advances in AI and machine learning “are driving a completely different level of personalization.” Through the company’s partnership with Google, Rite Aid is using data and analytics to drive insights for the business and for customers, including tools that help customers choose the right medical products based on where they are in their journey.
The continued rise of data and analytics capabilities brings with it a continued need for talented team members to drive those initiatives forward. Ashok Srivastava, Intuit’s Chief Data Officer, began the journey to advance AI nearly five years ago by investing in skills development and recruiting. “We built this team of artificial intelligence scientists and engineers and we focused them on what matters most, and that means what is best for the end customer,” he said. One win came from merging data and AI teams. “We could see that that data platform was powering a lot of experiences and as we focused those data platforms on AI and then on analytics, we could see that tremendous benefits were coming out of it.” Some of these benefits included Intuit’s “follow-me-home” approach to personal finance, in which AI models use data to understand how the customer is using the product, automatically categorize customer transactions, and provide insights to the customer about their financial health.
Check out our compilation of other technology leaders on Technovation with Peter High speaking about how their organizations are using artificial intelligence:
A new trend that has intrigued (and puzzled) some technology executives is the metaverse. The concept has been around for a while (see Neal Stephenson’s 1992 novel Snow Crash and the virtual world of the Wachowski sisters’ 1999 film The Matrix), but only recently has it emerged in a business context. Today, we see executives largely focused on the adoption of digital twins and augmented/virtual reality tools – two technologies often associated with the metaverse – for use cases ranging from product development to employee training.
Susan Doniz, Chief Information Officer of Boeing, says the company sees benefits of digital twin technology, noting that the combination of physical and digital worlds allows the company to efficiently iterate on new designs, to “fly the airplane thousands of times before we really fly it, and build it thousands of times before we really build it.” At Raytheon, Chief Digital Officer and SVP for Enterprise Services Vince Campisi and his team are using digital simulations of factories to optimize facility usage.
Technology leaders recognize the need to stay up to date on emerging metaverse-related technologies, from digital twins to AR/VR and Web3. “Not all of it is always relevant in the moment, but if you don’t start to get yourself up to speed and know where the opportunities lie, then I think you find yourself at the tail end,” said Cindy Hoots, Chief Digital Officer and Chief Information Officer of AstraZeneca. Her team invested in an experience-based group at AstraZeneca called ‘XR’. “Whether it’s the virtual reality or augmented reality team, we’ve got our own metaverse environment looking at how digital twins that we already have play into that, and just trying to build up some internal muscle on some of these trends.”
The metaverse, whatever form it may take, also creates new opportunities for collaboration and culture building, particularly in hybrid environments in which many work remotely. Likening the impact of the metaverse to that of ‘dilithium crystals’, the material used in the Star Trek universe to power warp-speed faster-than-light space travel, Cummins CIO Earl Newsome said the technology can act as a “transporter” of sorts, bringing people together from across the world. “I think we’re going to be able to leverage the metaverse to do some of that,” he explained, “especially when the metaverse gets to be really mixed reality.”
Perhaps unsurprisingly, cybersecurity remained top of mind for business technology leaders in 2022. As attacks grow more prevalent and sophisticated, CIOs continue to focus on mitigating risk and building a culture of cybersecurity awareness across their organizations.
At Cummins, Earl Newsome is training his team to minimize the number of preventable cyberattacks through the CyberSMART program, which equips “cyber soldiers” with the tools needed to sniff out phishing schemes, be more aware of their surroundings, and improve password management. “The issue is either on two legs or two wires,” Earl joked. “The two legs issue is the one that we need to focus on because 82% of all cybersecurity issues have a human element in them.”
The other 18% of cyberattacks may pose trickier to prevent, but CIOs are looking to new technologies and tools to help identify when attacks are occurring and mitigate the risk of exposure. Mike Feliton, CIO of Crocs, sees an opportunity with machine learning and RPA to quickly detect when an attack is occurring. “Noticing when a brute force attack is hitting your organization and being able to shut that down before any of your employees have to get engaged is essential because we can cut it off before anything starts to explode.”
More sophisticated attacks are likely to trouble some companies as computational capabilities advance. As research and development in quantum computing evolves, it is time for organizations to plan for post-quantum cryptography, said Kevin Stine, Chief of the Applied Cybersecurity Division at the National Institute of Standards and Technology’s (NIST) Information Technology Laboratory. With the rise of quantum computers, even the most secure systems today could be at serious risk of being breached without new forms of protection.
Yet while quantum computers create the risk of more advanced cyberattacks, they also offer the benefit of more advanced cybersecurity measures. Sangy Vatsa, Global Chief Technology & Digital Officer of FIS, is excited about the possibilities quantum can bring to the cybersecurity landscape.
While not a “tech trend” we have typically tracked across podcast episodes, sustainability appeared much more frequently this year as executives contemplated IT’s role in contributing to enterprise ESG initiatives.
Consumers are now, more than ever, concerned with how a company is addressing these issues, particularly in the energy sector. “Customers are paying attention to what companies are doing […] in terms of sustainability,” said Dak Liyanearachchi, Head of Data and Technology at NRG Energy. He noted “the decarbonization of our economy” as a trend that stands out.
“It really doesn’t matter what you think about climate change and sustainability, you are going to deal with it,” said Edward Wagoner, CIO of Digital at JLL. For technology leaders, the focus is on how best to do it. To name one example, Edward noted opportunities organizations have to use IoT and sensor technology to measure water and energy usage and reduce waste.
Companies are pursuing other technology-led sustainability solutions. Earlier this year, Frank Cassulo, Chief Digital Officer at Chevron, discussed Chevron New Energies, a business unit launched late last year that aims to produce low-carbon solutions (e.g. hydrogen) and reduce carbon emissions for both customers and internal operations. “We’re really looking at where we have competitive advantages and how we can help accelerate that energy transition,” he said. “It’s exciting for us to both think about how we continuously improve delivering the products today, but also transitioning to a lower carbon future that we’re going to play a large part in.”
While the energy industry is put under the microscope when it comes to sustainability, it certainly isn’t the only industry that is looking at lowering carbon emissions. Avery Dennison CIO Nick Colisto has been the primary driver of sustainability both within IT and within the business. In his view, IT is uniquely positioned to be a driver of sustainability at a company. “We incorporated [sustainability] as one of our strategic priorities in IT,” Nick said. “It’s essentially about innovation in building products that satisfy recycling, composting, and reuse of single-use consumer packaging and apparel in our products and in our solutions.”
At Avery Dennison, a low-code technology system called AD Circular makes it easier for customers to recycle used paper and filmic label liners across Europe. The company also introduced atma.io, a cloud platform that uses connected-product technology to track products through the value chain.
In addition to the topics noted above, other trends show signs of gaining traction in 2023:
Stay tuned to Technovation in 2023 for more discussions about the transformative technologies driving organizations forward.
