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Embarking on your AI journey: HPE shares our strategy

HPE joined AI strategy leaders at the recent O’Reilly Artificial Intelligence Conference to share our AI strategy and discuss how HPE InfoSight delivers AI-driven operations to simplify how infrastructure is managed and supported. 

O'Reilly AI photos.JPGWith some of my HPE colleagues, I was fortunate enough to attend the O’Reilly Artificial Intelligence Conference held in New York on April 15-18. The sold-out conference drew more than 1800 attendees. Every company that has an AI strategy had a presence at the event. Here’s a look at what HPE presented and other thought-provoking event highlights.

O’Reilly AI Conference kicks off

Roger Chen and Ben Lorica from O’Reilly kicked off the event, highlighting some of the top conference session topics, including infrastructure for deploying AI, deep learning models, data privacy, and ethical AI and bias.

The opening keynote from Gadi Singer, VP & GM of the AI Products Group at IntelAI, showcased four real-world AI deployments at enterprise scale. He discussed how deep learning is changing compute and how deep learning and machine learning are being put to work now. Enterprises are now integrating AI capabilities into their workstream and their infrastructure is the foundation of deploying AI at scale.

HPE sessions shine the spotlight on InfoSight, AI strategy pillars

HPE InfoSight HPE’s Rochna Dhand shows how HPE InfoSight uses AIOps to manage infrastructureHPE’s Rochna Dhand shows how HPE InfoSight uses AIOps to manage infrastructureallows companies to finely tune their infrastructure for deploying AI at scale and maximizing your environment. During her speaking session, Rochna Dhand, HPE Director of Product Management, discussed how HPE InfoSight uses AI-driven operations to manage and optimize your infrastructure, along with supervised and unsupervised deep learning models to make your infrastructure autonomous.

As part of HPE’s larger speaking session, Pankaj Goyal, VP of AI strategy, highlighted the three pillars of HPE’s AI strategy:

  • AI for our customers—Gaining faster insights with scalable solutions and services with the best in class people, technology and partners
  • AI for IT—A I-driven operations across edge-to-cloud infrastructure
  • AI for the future—Optimizing infrastructure with the latest AI technologies

Also, Nanda Vijaydev, lead data scientist and head of solutions at BlueData (recently acquired by HPE), led a session discussing how to accelerate innovation in the enterprise with distributed machine learning and deep learning. 

HPE believes that every successful business will need to embark on an AI adoption journey and 80% of those are now getting started. Contact us if you want to learn more about how you can get started on your journey.

Something to think about: other conference keynote highlights

  • Alex Madry from MIT asked the audience if AI is human ready? AI has been drastically changing the way we work, travel and live. However, are the AI models accurate enoughIs AI human ready?Is AI human ready? for us to become dependent on them and trust the model? Image recognition models are one of the largest categories of AI models. However, when tested amongst a few tricky images it misclassified a turtle as a rifle, and a pig as an airplane. I guess pigs can fly and turtles can start shooting! The world might be ready for AI, but is AI is not completely there yet. We need to finely tune the models until our society can trust AI. It is a very exciting time to see how AI is changing our world, but we still have to be cautious about trusting AI. We are still not at the level of human ready AI.
  • Danielle Dean, a data scientist from Microsoft discussed how to build an AI model and how your model is dependent on the data that you have access to. She let us in on a little secret as well: to optimize models, data scientists don’t have a prescribed plan. They really just use trial and error to tune the model!
  • Carlos Humberto Morales, senior director of deep learning systems at Inte, announced the newest easy-to-use platform, Nauta, an open-source platform for running complex deep learning models on shared hardware resources. Did you know that you can start your AI journey on your workstation or laptop? This new approach to distributed deep learning frees data scientists from having to worry about setting up and managing cluster or cloud infrastructure.

A chance to share AI deployment insights with our customers

I feel that the O’Reilly AI Conference was a huge success for HPE, BlueData, our partners, and customers. On the evening of April 17, we, along with H20.ai, hosted a dinner that included local customers from Bank of America, Citi, Credit Suisse, Deutsche Bank, JP Morgan Chase, UBS, and several others. We are thankful to have had our customers join us for an engaging evening of discussions on how they are deploying AI in their businesses.

Stay connected

Connect with us in person at Discover Las Vegas on June 18-20. Come and chat with the InfoSight experts at our booth and learn how you can use InfoSight to free IT engineers to create and innovate in their businesses (which is what humans do best!).

As always, please follow our blogs for the latest updates on HPE InfoSight plus more insights on how HPE continues to pave the way for autonomous infrastructure. Discussions will continue here on Around the Storage Block. And watch for AI-focus content on these two blog: Infrastructure Insights and Servers: The Right Compute.

Katie Fritsch
Hewlett Packard Enterprise

@HPE_Storage
linkedin.com/in/katherinefritsch/
hpe.com/storage

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About the Author

Katie_Fritsch

I am Marketing Manager for HPE InfoSight. Before that, I led the marketing for the deep learning startup, Nervana Systems, up until its acquisition by Intel in 2016.