HPE - Meet the Review Panel - Q&A

AI Accelerator Review Panelist Q&A

This blog series will ask each review panelist to answer the following questions, to provide short written Q&As to be part of the Insights section of the AI Accelerator website, as part of the resource center. We would advise that each answer is approx. 100-150 words.

1. A key goal of the AI Accelerator is to democratize access to Generative AI technology. Why is this democratization so important?

Developing generative AI models requires larger compute capacity and other tools that some people may not have the budget and resources to access. Democratizing technology for AI expands adoption to innovate and realize more value from AI. AI democratization opens the door for new communities and fosters inclusivity, opening the door to both industries and individuals alike, which in turn drives new opportunities across society at a global level. This program uniquely supports the vision by enabling access to both AI capabilities and AI thought leadership.

2. Why did HPE choose to take part in the AI Accelerator?

The AI Accelerator program aligns to HPE’s guiding principle of being a force for good and that technology, combined with human ingenuity, can create solutions to the world’s most complex challenges. Given the power of AI to transform and accelerate, this has never been more important than now.

3. What is an AI development or application that you’re particularly excited about?

The advances in medical imaging, drug discovery and sustainability are of paramount importance to humankind. I am both excited and optimistic about the incredible AI-enabled progress being made across these domains and the collaboration work being done across communities to solve these critical challenges.

4. How do you anticipate AI evolving over the next five years?

AI will evolve over the next five years in ways we have not yet seen. I expect it will change the way people live, learn and work every day driven by new applications, like AI agent-driven use cases and smaller AI-enabled devices inferencing at the edge. Additionally, people will find ways of combining machine learning and generative AI techniques to create new capabilities. For example:

• AI models, like LLMs, becoming robust enough to generate high quality outputs that will make more accurate predictions and solve problems more quickly.
• Innovation will be widely adopted by enterprises that want to take advantage of pre-built open-source models as well as small language models for use cases that are specific to their unique business needs and data.
• Enterprises will transform productivity using generative AI with industry-specific and horizontal enterprise use cases like chatbots, code generators, etc.
  
  

5. What are you looking for in an outstanding application to the AI Accelerator?

Personally, I am looking for entries that are both creative and responsible with AI, approaching innovation with ethics and safety in mind. The possibilities are endless, but applications that stand out need to have a human touch with governance and built-in guardrails to make it usable in our everyday lives.

Suresh Babu, Senior Vice President & General Manager, HPC & AI GTM