How Tech Leaders Are Combining AI And Data In Winning Ways
Marcello Damiani
Chief Digital & Operational Excellence Officer, Moderna
We decided to build an AI academy to demystify AI to the whole organization. This allows us to educate people so they can understand what problems it can help them solve.”
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Judith Bell
Chief Impact Officer,
San Francisco Foundation
We talk about diversity, equity and inclusion, but there are cultural changes we have to pay attention to so people feel like they’re entering an institution that’s willing to make the changes that allow them to feel like they belong.”
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Wafaa Mamilli
EVP, Chief Information & Digital Officer, Zoetis
We deployed a diagnostic device that takes an image of a [medical] sample from a dog, which is sent to the cloud. An AI algorithm gets applied to that image and a diagnosis is sent to veterinarians. This process used to take six to 10 days—now, it takes 15 minutes.”
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Jon Van Wyck
Managing Director & Partner, BCG
Companies are going to need to have an actual written policy to help manage risks as AI becomes more normal.”
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Michael Daniel
President & CEO, Cyber Threat Alliance
Adversaries run their operations like a business, and they’ve diversified, scaled and integrated vertically. The adversaries that we’re facing now are much more organized.”
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Tim Brown
CISO, SolarWinds
The adversary we face today is sophisticated, patient and with an end goal in mind, whether that is ransomware or a campaign to [steal information].
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Chris Nardecchia
SVP, Chief Information & Digital Officer, Rockwell Automation
We have very targeted diversity and inclusion metrics embedded in the strategy of the company. I think that accelerated during this period because of [the changes] we’ve seen in society.”
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Phil McKoy
CIO, Optum
Throughout the pandemic, we saw inequitable access to resources and the disparate impact on communities. We created an office that is part of our accountability framework that partners with all of the other entities in the company to make sure we’re delivering on our commitments.”
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Rashmi Kumar
SVP & CIO, HPE
The digitalization movement is much faster in private companies versus the public sector. [We must] create equal access so it impacts a broader population.”
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Cofounder & Chief Product Officer, Arize AI
There are companies that have no idea if their models are biased or not. You don’t need to input race in order for the model to figure out race, ethnicity, age, background and zip code. [So] you can’t just say … your model [is] unaware and [therefore] can’t be biased.”
Aparna Dhinakaran
Tech Innovator Spotlight: AI
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