How can business help solve society’s biggest challenges? Welcome to Series 3 of Take on Tomorrow, the award-winning podcast from PwC that examines the biggest problems facing society and the role business can—and should—play in solving them. This series, we’re welcoming broadcaster and journalist Femi Oke to the show. She joins podcaster and journalist Lizzie O’Leary, and together with industry innovators, tech trailblazers and visionary leaders from around the globe, they’ll explore timely ...
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The Future of Enterprise AI? AI in Production!
MP3•Episode home
Manage episode 469758867 series 3279398
Content provided by Domino Data Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Lab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years.
To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.
Join us as we discuss:
…
continue reading
To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.
Join us as we discuss:
- The pressure to shift from experimentation to production
- Breaking down the data, infrastructure and organizational silos
- Best practices for tackling governance, security and cost challenges
- Examples of AI efficiency gains in healthcare, pharma, and beyond
97 episodes
MP3•Episode home
Manage episode 469758867 series 3279398
Content provided by Domino Data Lab. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Domino Data Lab or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years.
To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.
Join us as we discuss:
…
continue reading
To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.
Join us as we discuss:
- The pressure to shift from experimentation to production
- Breaking down the data, infrastructure and organizational silos
- Best practices for tackling governance, security and cost challenges
- Examples of AI efficiency gains in healthcare, pharma, and beyond
97 episodes
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