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.”
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 attended and participated in the 16th Metis Strategy Digital Symposium. Highlights from the event are below. If you missed the event, check out Metis Strategy’s Youtube channel and Technovation podcast in the coming weeks for recordings of each conversation.
Our next event will take place May 21. More details and an agenda coming soon. CXOs, are you interested in attending? If so, kindly register here. We look forward to seeing you!
The COVID-19 pandemic, global supply chain challenges and the broad resurgence of artificial intelligence created a sense of urgency among many technology leaders to modernize and improve their organizations’ digital capabilities. Today, many companies are beginning to see the results of those investments and talking about the strategic ways technology can continue to enable innovation and resilience. Tech leaders recognize the importance of playing both offense and defense as they continue to navigate an uncertain business landscape, and the continued need to align talent and business strategies as they plan for future growth.
Investing in resilience
Some leaders outside IT may argue that there is never a good time to invest in IT. But given how quickly the competitive landscape is changing, organizations can’t afford to pause. For CIOs, a question is where – and when – to make those strategic investments.
“It’s much more beneficial to invest in a downturn than in an upcycle,” said Gates Corporation CIO Diego Silva. During a downturn, there is more capacity and willingness for people to drive change, put new skills into practice, and move projects forward. The greater acceptance for change gives companies the opportunity to drive productivity and resilience, and ultimately put them in a position of strength when the next upswing comes around.
Indeed, many organizations took advantage of time during the pandemic to invest in digital capabilities. When the world was in “shutdown mode,” Sunbelt Rentals Chief Digital & Technology Officer JP Saini invested in the organization’s omnichannel retail capabilities, talent development, new innovation models, and other initiatives to strengthen the resilience and adaptability of the enterprise. As Metis Strategy partner Chris Davis notes: “Businesses are cyclical, but progress and innovation don’t have to be.”
MSDS attendees shared that the biggest barriers to advancing and maintaining digital capabilities are legacy operating models and legacy infrastructure
Managing both offense and defense
True transformation means not just building innovative products and services but also ensuring that all the processes that support those innovations are running as they should. For CIOs, that means playing both offense and defense well.
At pharmaceutical firm GSK, innovation has long been a core competency. As leaders discussed transforming parts of the organization, there was growing recognition that the company had to balance playing offense and defense, playing to win rather than “playing not to lose.” Offense includes those digital and data capabilities at the core of a company’s strategy, while defense-oriented activities may focus on areas like responsible AI and cybersecurity. It becomes a virtuous cycle, GSK Chief Digital & Technology Officer Shobie Ramakrishnan said. “Defense in service of the offense becomes important.”
Tech modernization is another area where offense and defense must be balanced. As Grainger CTO Jonny LeRoy noted, organizations that have been early adopters have a duty to tend to the IT garden over time, “to keep the weeds out.” Putting that into practice, Grainger is focused on the mechanics of how it grows, using its understanding of processes like customer acquisition and inventory management to guide the continuous development of its systems and solutions. Meanwhile, Grainger keeps an eye on the horizon and experiments with new technology as it comes so it can be ready for what’s next.
Continuously improving
Responding to a fast-changing market requires organizations to deploy new capabilities quickly and pivot when necessary. That requires a mindset of continuous improvement and a constant search for opportunities to align people, process and technology toward a common outcome.
Consider a zero-day cybersecurity vulnerability, one that takes advantage of an unknown or unaddressed issue and needs to be fixed immediately. Jen Felch, Chief Digital Officer and CIO at Dell, said the best way to be prepared is “not only to take care of it early, but figure out how to get fast.” While some may view behavior or process change as antithetical to speed, the efforts to make those changes and continuously improve can be major levers to increase speed and efficiency.
Felch recognizes the desire for continuous improvement among teams as well, not only to build skills but also to see the results of their work. Rapid experimentation cycles have helped, she said: “let’s see what we can do in two weeks and build on that and see how it goes.” Giving appropriate context, bringing in knowledge from across the organization, and encouraging a test-and-learn mindset can also drive empowerment across teams. On the process side, constantly improving data quality, information retrieval methods and learning opportunities have also aided progress.
The top talent efforts that technology executives are focused on to advance AI are widespread education/upskilling and scaling AI-based productivity tools
Adopting new ways of working
Technology leaders are also adapting their talent strategies to better suit their strategic goals. Barry Perkins, COO at Zurich North America, noted that having a majority of technology employees in India limited productivity and agility. Noting “ABCD” – AI, Big Data, Cyber, and Development – as four critical digital capabilities, the company has begun to reassess its talent strategy, including which roles should be closer to headquarters. “We can’t have agility if we’re having conversations thousands of miles away with different time zones,” he said. “It’s much easier side by side.”
Effective talent management also requires leaders to inspire teams about the organization’s future vision and help team members see their place in the plan. As Brinks Inc. CIO Neelu Sethi said, transformation of any sort is less about technology and more about people. She is working to create a true “three-legged stool” of people, process and technology rather than letting a single element be the focus.She also reiterated the need for true collaboration. “You cannot whistle a symphony,” she said. “It takes an orchestra.”
At Travelers, preparing talent for large-scale change has involved a focus on four areas: Customer First; Empower and Act; Test and Learn; and Prioritize. Chief Technology and Operations Officer Mojgan Lefebvre also emphasized the need for effective communication to drive trust and accountability through transparency. “People want to play a role,” she said. “Bringing them along and giving them that capability is important.”
A majority of MSDS participants are either experimenting with Copilots or other generative AI tools to enhance software developer productivity or scaling the adoption of these tools
Advancing generative AI adoption
Naturally, artificial intelligence continues to be a priority in 2024. After a year of initial exploration and education, many organizations are ramping up AI experiments and seeing ways to expand AI across the enterprise. Underpinning all of this exploration is a focus on value delivery and safety.
GSK established an AI policy and set up an AI governance council five years ago when the organization decided to scale AI across the company. Now, Ramakrishnan is thinking about additional risks around adoption and procurement to ensure AI can scale. Similarly, Travelers many years ago set up an AI accelerator team to explore potential use cases and create a framework for responsible AI use. Now, they are prioritizing a handful of use cases and in the process of scaling them across the organization.
“Generative AI is top of mind for every executive to accelerate their workforce and accelerate the products of the business,” said Varun Mohan, CEO & Co-Founder of Codeium. In a poll, participants said the biggest benefit to AI and generative AI adoption is increased productivity (67%), followed by improved products and services (17%). When it comes to advancing AI, 40% of attendees said talent efforts are focused on scaling AI-based productivity tools.
Around two-thirds of respondents see increased productivity as the biggest benefit to AI/generative AI adoption
Many speakers said they are currently using AI for use cases such as developer productivity and internal process automation. A key outcome: speed. “The more we eliminate the drudgery from the process, the more we can start to deliver value,” said Jen Felch of Dell. At Travelers, Levebvre’s team is exploring how generative AI can be an assistant or collaborator, such as quickly searching through and summarizing documents or helping team members access needed information. The company is also exploring how AI can be used to improve job descriptions and recruiting processes. Lefebvre noted that while many of their use cases are internally focused, they want to be able to scale the technology and “make it good before turning it around with customers” as there is also a lot of external value to capture.
At Grainger, LeRoy’s teams are experimenting with generative AI in technology (coding assistants) as well as customer service. Through internal hackathons, the technology team developed tools that are boosting employee productivity and allowing them to do more with a constrained budget. As use of these tools continues to scale, financial management becomes an important factor, LeRoy said. “Some of that is selecting the right model with the right capability level that’s not overly expensive, and managing how much information you put into them.”
Our next event will take place May 21. If you are a CXO and interested in attending, please register here.
This article was written by Marjorie Freeman.
A data strategy is a plan of action to manage an organization’s data assets across its technology, processes, and people. In practice, that entails understanding how data is generated, where and why it is consumed, and how its use helps organizations achieve strategic objectives.
On Metis Strategy’s Technovation podcast, Peter High has interviewed many global, digital-forward CIOs about their data strategies. Below are insights from those leaders about how companies can use enterprise data assets to their fullest potential.
Artificial intelligence has been top of mind for many organizations, even more so in 2023 with the rise of ChatGPT and increased discussion around generative AI. This has prompted a multitude of conversations around AI’s core facet: data, and how it can drive the business forward.
During the February 2023 Metis Strategy Digital Symposium, Krzystof Soltan, the Chief Information Officer of Vulcan Materials Company, and Anupam Khare, the Chief Information Officer of Oshkosh Corporation, shared their experiences building data strategy into complex, scaled organizations.
At Oshkosh, Khare leads with the question: “How do we extract financial value from data by bringing people and data together?” The company is working to become what Khare calls a predictable enterprise, using four fundamental principles to guide the journey:
For Vulcan Materials, data strategy is linked to the organization’s technology strategy. “It always comes back to business value, the time to value, how fast we are able to provide the insights” Soltan said. Vulcan Materials’ looks to the following principles to guide its data and analytics work:
Both Khare and Soltan’s stories underscore the need to tie data strategy to business value, work toward a common tech stack, and engage people at every level of the organization in the data journey.
OneDigital, which provides customizable and cost-effective HR solutions to organizations and their workforces, acquires around 30 organizations per year. This is no easy feat, but CIO Marcia Calleja-Matsko strives to create a seamless experience for every organization that is onboarded.
When acquiring a new organization, especially one in a different vertical or industry, it is important to ensure there is a consistent record across multiple platforms, Calleja-Matsko says. Cue the single source of truth, or what she calls the “golden record.” Once that record has been created, it must be maintained.
Over the years, Calleja-Matsko has been working to build OneDigital’s data strategy in three key ways:
If data is the new oil and speed is the currency of business, then data governance is the link that fuses the two. For more, see Michael Bertha’s commentary: Data Strategy at the Speed of Business.
CIOs play an instrumental role in creating a common language around data and making sure teams across the enterprise have the tools and concepts they need to harness data effectively. To develop this data literacy, many organizations have built enterprise-wide curriculums and training resources.
Monica Caldas, the CIO of Liberty Mutual, which has its own professional development training programs, including one specifically geared toward executives, said it well:
“Technology is everybody’s responsibility these days in terms of understanding what it can do. … Everyone that sits around the table needs to be beyond, ‘How do I click this?’ and [be] somewhat well versed [in topics like] what can an API do, and why does that matter.”
Many organizations have launched digital academies to train employees on digital skills, including technology and data literacy. In 2019, for example, Toyota launched an academy to knock down the invisible wall often found between IT and the business and give end users greater knowledge of the software they use every day. “The idea was to not just train IT, but everyone across the organization.” said then Chief Innovation, Strategy and Digital Officer, Vipin Gupta. The approach has empowered associates across the business to truly understand how to capitalize on the tools, data, and processes at their disposal.
Data literacy is also key to enabling citizen development, an approach that encourages those outside IT to contribute to software development, often via low-code/no-code tools. Paired with increased data literacy, this can make it easier for teams across organizations to apply data and analytics to their work and accelerate time to insight.
Chief Information and Digitization Officer of Reckitt Benckiser Group, Filippo Catalano encourages executives to create opportunities for properly governed self-service data access:
You want to also make sure that, as much as possible, everybody in the company becomes a data scientist. … Get out of the way so you can unleash creativity, empower people everywhere in the organization to do what they need to do on data and analytics, but also to do it on the right platforms so that things are done in a fair way, but also in a safe way.
CIOs, CDIOs, and CDOs are in incredible positions to influence the change they’d like to see within their organizations. Directly engaging individuals in the company’s data journey through hands-on learning opportunities can not only build knowledge and morale, but also can catalyze new competitive advantages.
Any successful data strategy needs a compelling, ambitious vision and a clear path to success that resonates across an organization. CIOs, then, need skillful storytelling to get buy-in from multiple stakeholders and create forward momentum.
Telling the story effectively means, once again, putting business outcomes front and center. “I can talk all day about ‘hey, you should have data governance and you should think about a data lake or a single view of the customer,’” said Dak Liyanearachchi, Head of Data and Technology at NRG Energy. “All of those are really interesting, but what does it really mean to the organization?”
One useful move includes thinking about data as an enterprise asset that requires strong partnership across every part of the business. While companies can notch small wins leveraging data within silos, the real benefit comes when that great work logically connects across the organization.
“If you think about connecting the dots across the value chain, that’s where you start to see some significant business opportunities,” Liyanearachchi said. When that happens, “the value you bring multiplies at a faster rate.”
The recent system failures at Southwest Airlines and the Federal Aviation Administration caused major disruptions for travelers, pilots, and cabin crew across the country. It also underscored the importance of prioritizing technology modernization initiatives, data integration, and the management of technical debt as the aviation industry races to make updates that many consider long overdue. This article will give a brief overview of both incidents and share lessons technology leaders can take to their own organizations.
In late December, a winter storm and frigid temperatures impacted airlines across the country. While many airlines bounced back relatively quickly, Southwest did not. Cancellations mounted and the company was unable to address them in a timely, automated way.
Southwest’s flight and crew scheduling is managed by a mainframe-based software that was built decades ago and is nearing the end of its life, according to the airline. When the system is overwhelmed, employees have to resort to manual processes. As the backlogs grew in December, “there just was not enough time in the day to work through the manual solutions,” Southwest COO Andrew Watterson said. By December 25, the Southwest team decided “the only way to pull the airline’s operations back from the brink would be to cancel even more flights: around two-thirds of its schedule for several days.” Nearly 17,000 flights were canceled, disrupting the lives of about two million customers.
The company is working with GE Digital to add new functions to its mainframe-based software, Crew Optimization (formerly known as SkySolver), to improve the flight and crew scheduling process. GE Digital owns the Crew Optimization technology. Bob Jordan, Southwest Airlines’ CEO, said the technology and processes worked as designed but “they just were all hit by overwhelming volume.” A GE spokesperson told the Wall Street Journal that its software isn’t an end-to-end solution, but rather a backend algorithm that airlines can supplement with other software to manage disruptions. Southwest and GE Digital are working together to develop a new release for the software to address past problems to reduce the need to do so manually.
Unions at Southwest have been urging the company to modernize the antiquated scheduling technology. “We’ve been harping on them since 2015-ish every year,” Southwest pilots union vice president Mike Santoro told CNN. In 2022, the Southwest flight attendants union wrote a letter to management prioritizing “modernization of the antiquated reserve system” and “improved communication tools to alleviate long scheduling hold times” over pay increases. Watterson said that Southwest was working through multi-year system upgrades, and had focused on maintenance and group operations ahead of crew-scheduling updates.
As a result of the disruptions, regulators and lawmakers have called for investigations and penalties against the airline. Additionally, the company’s board has created an operations review committee and the company has committed more than $1 billion of its annual operating budget to maintaining and upgrading IT systems as part of a five-year strategic plan. The events have cost Southwest Airlines an estimated $725 to $825 million, and the ripple effects continue to be felt.
Just weeks after the Southwest meltdown, the FAA’s system experienced an outage that led to thousands more travelers experiencing flight delays and cancellations. Like Southwest, the FAA’s outage originated from systems scheduled for upgrades. The affected system, Notice to Air Missions (NOTAMs), is a critical tool for alerting pilots about conditions that could impact flight safety and for real-time information on flight hazards and restrictions. Pilots are required to consult NOTAMs before every flight.
Due to safety concerns and to address the outage, the FAA grounded departures nationwide for the first time since 9/11. “Today’s FAA catastrophic system failure is a clear sign that America’s transportation network desperately needs significant upgrades,” said Geoff Freeman, president and CEO of the U.S. Travel Association. “Americans deserve an end-to-end travel experience that is seamless and secure. And our nation’s economy depends on a best-in-class air travel system.”
The FAA has identified a damaged database file on systems scheduled for upgrades as the cause behind its system outage, and found no evidence of a cyberattack. Investigations are ongoing to prevent any similar disruptions to travelers in the future.
New tools are being developed, some originating from startups, to modernize and automate processes and systems in the airline industry that are manual, siloed, and outdated. Executives at a number of major airlines have reaffirmed their commitments to investing in technology modernization and operational infrastructure during their January quarterly earnings calls.
The examples above serve as cautionary tales on the potential dangers of not addressing needed system upgrades in a timely manner. Technology leaders can keep the following points in mind as they build organizational resilience amid a fast-changing technology landscape:
Don’t put modernization efforts on the back burner. CIOs and their organizations are constantly balancing a shifting portfolio of initiatives. Challenges at Southwest and the FAA illustrate the heightened risk and serious consequences of waiting to make critical upgrades or letting technical debt pile up. If your team doesn’t have a strategy for chipping away at that technical debt, it’s time to address it.
Connect the dots between internal systems, employees, and customers. Long-reliable legacy systems may be an afterthought for many organizations (until they stop working, that is). Incorporate maintenance and upgrades into short-term and long-term business and technology strategies with an emphasis on how these systems ultimately affect employee and customer outcomes.
Have a backup plan and prepare for the worst. Develop and regularly test response plans with teams to reduce risk and ensure the organization is prepared to navigate potential mishaps.
Leverage cloud-based systems where appropriate. Partnerships with cloud providers are expected to help airlines improve their technologies. A shift to cloud solutions is no simple or risk-free task, and successful implementations go well beyond simply installing the technology, but strategically scaling these technologies can create greater operational agility, help automate processes, and make data integration more seamless and secure.
Continue to enable real-time data and communication that can take place across teams and organizations. Where possible, eliminate silos that can slow and reduce the quality of data sharing and, at worst, bring operations to a halt. Ensuring accurate and accessible data enterprise-wide is not a small task and often requires a robust data strategy to execute effectively, but its benefits can extend well beyond helping with crisis response.
Continue to gather and listen to feedback. For executives especially, careful listening and communication are key to empowering teams, creating an effective digital experience, and ensuring they have the tools needed to do their jobs.
Zoetis’ Chief Information & Digital Officer Wafaa Mamilli has been promoted to the post of Executive Vice President, Chief Digital & Technology Officer and Group President for China, Brazil, and Precision Animal Health. Zoetis is the world’s largest manufacturers of animal pharmaceuticals. This post represents a major leap forward in Mamilli’s responsibilities, driving the accelerated growth of two key markets, as well as the company’s precision animal health businesses and advancing our global customer experience programs. Mamilli is a big believer that all tech and digital executives ought to have a profound impact if not primary responsibility for customer experience in the digital age.
“I’ve always thought of my role as a business leader with technology accountability and have been passionate about the role of digital and data in reimagining animal health and powering Zoetis’ business. I am equally excited to fully harness our innovative portfolio, along with my global experience, to deliver the most value to our customers in key growth areas of our business.”
She will continue to oversee Zoetis’ digital and data analytic strategies as well as the Information Technology and cybersecurity teams.
Prior to joining Zoetis in 2020, Mamilli was with Eli Lilly and Company for 20 years. She held a variety of International roles with increasing responsibility, and ultimately served as the Global Chief Information Officer for the company’s business units. She also served as the company’s Chief Information Security Officer, a rare example of a CISO growing into CIO responsibilities, though surely a pathway that may become more frequent in an age when the former is growing in strategic importance.
Mamilli’s profile has grown tremendously in the past two years, including being the recipient of the 2022 MIT Sloan CIO Leadership Award, which honors executives who lead their organizations to deliver exemplary levels of business value through the innovative use of IT. She was also honored as a member of the Forbes CIO Next List, recognized among 50 influential technology leaders who are redefining the CIO role and driving innovation.
In addition to her outsized influence in tech and digital and now beyond within Zoetis, Mamilli is also on the leading edge of CIOs and CDO s who have been asked to serve on the boards of public companies with multiple billions of dollars in revenue. She serves on the board of directors of Fiserv, Inc., a global provider of payments and financial services technology solutions.
Mamilli has also been a champion of women in technology, as a leader of the T200, a group of female technology executives who not only support each other, but also mentor the next generation of female tech and digital execs.
She earned a master’s degree in Computer Science from INSEA in Rabat, Morocco, and a master’s degree in Business Applications of Information and Technology from Université Rennes in Rennes, France.
Peter High is President of Metis Strategy, a business and IT advisory firm. He has written two bestselling books, and his third, Getting to Nimble, was recently released. He also moderates the Technovation podcast series and speaks at conferences around the world. Follow him on Twitter @PeterAHigh.
Our next Digital Symposium is just around the corner. Join us on December 13 as industry leaders and technology executives share how they are leading their teams through uncertain times and discuss the trends shaping the year ahead.
CIOs and other technology leaders, register here to reserve your spot today, and stay tuned here for agenda updates. We look forward to seeing you!
12:00 – 12:05 p.m.
Welcome and introduction to the Metis Strategy team.
12:05 – 12:30 p.m.
Establishing the Foundation for a Modern Enterprise
Boris Shulkin, Chief Digital & Information Officer, Magna International
Michael Rodgers, Chief Technology Officer, Pilot Company
12:30 – 12:55 p.m.
Mastering the Human Side of Digital Transformation
Rob Mills, Chief Technology, Digital Commerce, and Strategy Officer, Tractor Supply Co.
Jennifer Hartsock, Chief Information & Digital Officer, Cargill
Moderated by Michael Bertha, Vice President & Central Office Lead, Metis Strategy
12:55 – 1:20 p.m.
Crafting Connected Digital Experiences for Customers and Employees
Atish Banerjea, Chief Information Officer, Meta
Gail Evans; Chief Digital & Technology Officer; Disney Parks, Experiences, and Products
1:20 – 1:35 p.m.
Leading Transformation: A Conversation with Chief Transformation Officer Kelly Kent
Kelly Kent, Chief Transformation Officer, ServiceNow
1:35 – 1:50 p.m.
CIO to CEO: Fireside Chat with Mario Harik
Mario Harik, CEO, XPO
1:50 – 2:05 p.m.
Entrepreneur Spotlight: Taso Du Val, Toptal
Taso Du Val, Co-Founder & CEO, Toptal
2:05 – 2:30 p.m.
Optimizing Value Delivery through Digital and Technology Capabilities
Anita Klopfenstein, Chief Information Officer, Little Caesars
Kirk Ball, Chief Information Officer, Giant Eagle
2:30 – 2:40 p.m.
Closing remarks and adjourn
Click here for highlights from our last Digital Symposium, or view the panel discussions on YouTube. We look forward to seeing you!
From inflation to the war in Ukraine and the ongoing effects of COVID-19, a perfect storm of economic, social, and geopolitical disruptions has increased uncertainty for business leaders. Building on research and insights from technology executives across industries, Metis Strategy has identified five actions leaders can take to navigate that uncertainty in the months ahead:
Recent downgrades to economic forecasts suggest an economic decline is on the way (indeed, some argue that it has already begun). In July, the International Monetary Fund released an updated global economic outlook which forecasted growth to slow to 3.2% in 2022, down an additional 0.4% from its April forecast and sitting at just above half of the 6.1% growth from 2021. The IMF cited the war in Ukraine, supply chain disruptions, and tighter monetary policy among the key drivers behind the decline. In the U.S., inflation continues to rise, recently surpassing 9% to reach a 40-year high. Additionally, interest rate hikes to tame inflation are already underway by the U.S. Federal Reserve. With so many economic factors at play, uncertainty will be the only constant for the time being. As such, contingency planning and risk management in decision making will be vital to long-term success.
Multi-scenario planning allows decision makers to identify potential outcomes and the likely predictors of each to ensure that the organization is ready to act quickly no matter what comes to pass. Companies must not place too much emphasis on small data variations, as this course of action will not necessarily yield the best results given the array of factors at play. Rather than try to predict or plan for each incremental interest rate hike, for example, leaders instead should prepare for a combination of possible economic conditions: inflation and a recession, inflation and economic growth, stagflation, and so on.
By pursuing macro-level planning for multiple scenarios, organizations will better be able to see the shifting landscape and make timely adjustments rather than wavering due to “paralysis by analysis.”
New work models demand new infrastructure. That sentiment has never been as profound as it was over the past two and a half years as CIOs facilitated a massive shift to remote work. Today, those CIOs face a mandate to enable productive work in a hybrid environment.
As hybrid work models become the norm, it is time for CIOs to focus once again on their organization’s long-term agenda. Corporations know that the pace of change in technology has never been as quick as it is today, and at the same time will never be this slow again. With over 70% of organizations pursuing a flexible or hybrid work model, companies must invest in infrastructure, training, and culture to provide teams with the tools they need and ensure a strong and collaborative environment across more flexible work models.
That requires giving people the tools and skills they need to navigate the uncertainty that lies ahead. Upskilling and reskilling programs are some of the most prominent ways to do this. A LinkedIn study found that 94% of employees would stay longer at a company that invests in their learning. This has manifested itself in many ways at insurance giant MetLife, which launched a digital academy for employees to develop technically. The company has also worked to foster a culture in which employees feel empowered to achieve their career aspirations, Bill Pappas, MetLife’s Head of Technology and Operations, said in a recent episode of the Technovation podcast. Part of developing a strong hybrid model includes investing in the necessary tools, from collaboration platforms to cloud infrastructure, that enable teams to work productively from wherever they are.
Every organization must define its own version of a sustainable work model, including how to attract and retain employees, and how to nurture the desired culture. As old work operating models are redefined and new ones are implemented, investments in people and infrastructure that enable digital dexterity, paired with an increased focus on cultivating culture, will be key differentiators for organizations’ long-term success.
Supply chain challenges brought on by COVID-19 and the war in Ukraine, among other factors, have exposed the fragility of global trade networks, which have seen relatively little disruption over the past 30 years. The global economy’s reliance on Ukraine and Russia for crucial commodities such as oil, wheat, and neon (used in chip manufacturing) has hurt national economies and small businesses alike. The war also has disrupted both air cargo routes and sea shipments, driving up wait times and prices. Trade restrictions (such as sanctions and tariffs) and weakening trust between countries further compound those challenges. Increasingly, companies are questioning whether global supply chains will be as beneficial as it has been in the past.
Consequently, executives are re-assessing the viability of relationships with suppliers both foreign and domestic. Decision-makers may benefit from diversifying their supplier portfolios, possibly favoring those that are more geographically proximate and located in more politically stable countries to further help prepare and protect against future disruptions. Companies such as Intel and General Motors, for example, are building new manufacturing capabilities within the U.S. to decrease their dependency on suppliers in Asia. However, the decision to regionalize varies widely across organizations and industries, and many economists, academics, and executives are speculating about what the next decade holds. Professor Willy C. Shih of Harvard Business School argues that regional supply chain blocs may be the future of international trade as organizations emphasize safer and more stable routes. Others contend the benefits of a global supply chain (i.e. reduced costs), will regain value and that a “transformational shift from global to regional business” is unlikely. The common factor across both theories (and many others) is that significant instability is likely to endure. That makes building supply chains with sufficient flexibility of paramount importance. Technology offers several avenues to achieve this.
Many organizations are turning to digital tools to boost supply chain resilience and transparency. Companies can leverage artificial intelligence and machine learning to carry out risk analysis of supply chain patterns in real-time. Autonomous planning, for example, allows organizations to increase supply chain efficiency and decrease necessary human involvement. Enterprise resource planning upgrades and advanced track-and-trace solutions also offer more visibility into the movement of goods and can help mitigate risk. Furthermore, emerging technologies such as blockchain, autonomous mobile robots, and 3D printing may offer additional benefits from the warehouse floor to a product’s final destination.
Cybersecurity remains a priority for all members of the executive suite. Last year saw a record number of data compromises, up 68% from 2020 with an average cost of a staggering $4.24 million per breach. Roughly 65% of respondents in Foundry’s 2022 State of The CIO study said current socioeconomic pressures have further boosted the importance of increasing cybersecurity, and cyber has been noted as the CEO’s top priority for IT in 2022.
The increasing volume of digital interactions has led to a dramatic rise in the likelihood of breaches and the cost of protection. Facing a threat landscape that is evolving faster than ever, organizations should act quickly to re-evaluate company polices, assess risk management strategy, and bolster both internal and external security practices. This requires a mindset shift in how security is viewed. Traditionally viewed purely as a cost center, organizations must view cybersecurity as a critical piece of the enterprise risk mitigation strategy. Today, businesses must continuously update their cybersecurity practices to reduce the risk of becoming a target and ensure they can respond quickly if or when they face an attack.
Technology leaders should communicate clearly to C-level peers and boards about how risk is being managed. At the same time, it’s important to continue developing strong cybersecurity hygiene at all levels of the organization and to disincentivize unsafe behaviors. Security policies should be evaluated and updated regularly to ensure that they are keeping up with changing times. Regardless of what specific technologies an organization pursues, it must accompany the mindset shift to cybersecurity ultimately as a risk mitigator and cost saver, rather than just a cost center.
Environment, social, and governance initiatives (ESG) have been on the rise for the past several years. Individuals are becoming increasingly concerned not only with working for a company that is actively pursuing ESG initiatives, but also in purchasing from one. This trend shows no signs of slowing down.
It is critical that organizations clearly communicate actions and results of ESG efforts to the public. Historically, however, ESG goals have not always had clear or easily obtainable data and metrics. Technology is making that job easier. Connected devices, for example, can conduct remote diagnostics of buildings, enabling “smart buildings” and helping to minimize their carbon footprint. CIOs can lead the charge on ESG initiatives by identifying key results that IT can deliver, weaving ESG into an organization’s broader digital strategy, and rallying support across the organization to ensure progress on ESG initiatives is fully realized.
The global business environment is in a period of transition. Leaders must use this time to ensure their organizations can respond in a nimble fashion to unexpected changes and not only survive, but thrive, no matter what the future holds. This requires a holistic look across people, process, technology, ecosystems, and strategy and, in many cases, willingness across the enterprise to transform operating models and ditch traditional ways of working. Technology leaders can be at the forefront of this shift, pairing their expertise in digital with a focus on operational excellence to drive sustainable change across the enterprise.
Our next Digital Symposium is just around the corner. Join us on September 8 as industry leaders and technology executives share their perspectives on fostering innovative cultures, innovating during dynamic times, and creating new digital pathways to reach customers, among other topics.
CIOs and other technology leaders, register here to reserve your spot today. We look forward to seeing you!
12:00 – 12:10 p.m.
12:10 – 12:25 p.m.
Fireside Chat: Gabe Dalporto, Chief Executive Officer, Udacity
Gabe Dalporto, Chief Executive Officer, Udacity
12:25 – 12:50 p.m.
Data & Analytics as a Source of Resilience and Growth
Vinod Bidarkoppa; SVP, Walmart; Chief Technology Officer, Sam’s Club
Susan Doniz, Chief Information Officer and SVP of IT & Data Analytics, Boeing
12:50 – 1:05 p.m.
Entrepreneur Spotlight: Orion Hindawi, Co-Founder & CEO, Tanium
Orion Hindawi, Co-Founder & CEO, Tanium
1:05 – 1:20 p.m.
Fireside Chat: Chandra Dhandapani; Chief Executive Officer, Global Workplace Solutions; CBRE
Chandra Dhandapani; Chief Executive Officer, Global Workplace Solutions; CBRE
Fireside Chat: Kevin Stine, National Institute of Standards and Technology (NIST)
Kevin Stine, Chief of the Applied Cybersecurity Division, NIST’s Information Technology Laboratory (ITL)
1:35 – 2:00 p.m.
Transforming a Global IT Operating Model
Ash Banerjee, Global Chief Information Officer, Dentons
Anil Bhatt, Global Chief Information Officer, Elevance Health
2:00 – 2:25 p.m.
Creating Innovative Sustainable Business Models
Frank Cassulo, Chief Digital Officer, Chevron
Bhavani Amirthalingam, Chief Digital Information Officer, Ameren
2:25 – 2:50 p.m.
Driving Strategic IT Modernization Efforts
Marykay Wells, Chief Information Officer, Pearson
Carman Wenkoff, Chief Information Officer, Dollar General
2:50 – 3:00 p.m.
