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523: Stanley Black & Decker CIO Rhonda Gass discusses

Among a variety of other topics. 

518: BECU credit union executive vice president and chief information officer Fumbi Chima discusses

Among a variety of other topics.

511: Juniper Networks CIO Sharon Mandell discusses 

Among a variety of other topics.

 

507: Honeywell Chief Digital Technology Officer Sheila Jordan discusses 

Among a variety of other topics.

505: Duke Energy CIO Bonnie Titone discusses

Among a variety of other topics.

490: Fannie Mae Kimberly Johnson COO discusses 

Among a variety of other topics.

 

In this interview, Intel CIO Archana Deskus discusses, 

Among a variety of other topics.

 

In this interview, we discuss

Among a variety of other topics.

 

In this episode, Mojgan discusses the company’s commitment to making innovation part of its DNA and the strategic pillars the company has put in place, which are focused on evolving the way the company works to drive integrated teams to push the blurring of lines between business and technology. First, the company leverages design thinking methodologies and always starts with the customer and works backward, and it has small multifunctional teams of technologists and business experts. Second, the company has developed a strategic architecture, driving modernization and simplification where appropriate. Lastly, but most importantly is talent, which the company considers its advantage multiplier.  Mojgan cites that Travelers drives new skill sets and engineering talent in a variety of ways. We also discuss Mojgan’s view on the future of women in technology, and the revolution she sees happening in that regard, how Mojgan looks at the company’s 160-year old history as a position of extreme strength, how Mojgan’s diverse career path has colored her experience at Travelers, and a variety of other topics.

453: In this episode, Anima discusses the synergy of working in both academia and in the industry, from her previous positions at AWS and University of California, Irvine, to her current research at NVIDIA and Caltech. She shares how AI can accelerate scientific discovery with engineering capabilities, such as powerful GPUs, that continuously push AI forward at a very fast pace. We also discuss what is known as the Trinity of the deep-learning revolution: algorithms, data, and compute infrastructure. Anima shares insights on scaling, self-supervision techniques, embodied intelligence, and her thoughts on the future of AI. Finally, we end with a discussion of Anima’s mission of globally democratizing and diversifying AI.