Episode 11  |  55 Min  |  April 21

How to deploy AI sustainably with Dr. Eng Lim Goh, SVP at HPE

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Engaging topics at a glance

  • 00:16:45
    Why is sustainable AI important?
  • 00:20:48
    Apart from power, what else matters for sustainable AI?
  • 00:26:12
    What about e-waste and recycling?
  • 00:29:15
    Why is AI so power hungry?
  • 00:32:19
    What model should business leaders adopt for AI deployment?
  • 00:36:47
    More on energy use by AI
  • 00:39:56
    Choosing the right hardware for AI
  • 00:45:08
    Organizational effort for sustainable AI
  • 00:48:56
    Considerations when deploying AI

Explore the vital link between AI and sustainability as we discuss strategies for eco-conscious AI deployment with Dr. Eng Lim Goh, Senior vice president of Data & AI at Hewlett Packard Enterprise

In this episode of Unpacked, Arvind introduces Dr. Eng Lim Goh, SVP of Data and AI at Hewlett Packard Enterprises, to discuss the topic of sustainable AI. They agree on the importance of being conscious of the planet’s well-being while charting business growth and profitability. 

Dr. Goh explains the need for corporations to consider sustainability due to their net-zero goals, the conscious younger generation of employees, and the economic implications of power consumption in supercomputing. He shares his experience of working on the International Space Station and how he realized the importance of a sustainable approach to technology. 

So for e-waste, what’s better than, what’s more sustainable than e-waste is to recycle. But in fact, what’s more sustainable than recycle is reuse.

– Dr. Eng Lim Goh

Similarly, he suggests that businesses should consider long-term goals while investing in AI and related technologies, adding that it is important to measure the impact of such efforts quantitatively. He also talks about the importance of collaboration between businesses, governments, and academia to achieve sustainable progress. The conversation then moves on to the topic of energy consumption in AI, and Dr. Goh explains how the power consumption of large models has been a challenge in the supercomputing industry. He suggests that businesses should consider using more efficient hardware and software to reduce energy consumption and how they can approach this. He also mentions the importance of using renewable energy sources to power data centers. 

The conversation concludes with Dr. Goh’s vision for the future of AI and sustainability. Dr. Goh emphasizes the need for businesses to consider the long-term impact of their actions and to invest in sustainable technologies. He believes that AI can play a crucial role in achieving sustainability goals and that it is important for businesses to collaborate and share knowledge to achieve sustainable progress. 

I shouldn’t say pick the right size model. Pick the right model.

– Dr. Eng Lim Goh

Overall, the conversation highlights the need for businesses to consider sustainability while investing in AI and related technologies. It emphasizes the importance of transparency, collaboration, and measurement in achieving sustainable progress.

Production Team
Arvind Ravishunkar, Ankit Pandey, Chandan Jha

Latest podcasts

Episode 8  |  51 Min  |  April 21

Are LLMs the Answer to Everything with Prof. Mausam, IIT Delhi

Are LLMs the Answer to Everything with Prof. Mausam, IIT Delhi

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Engaging topics at a glance

  • 00:32:28
    Introduction
  • 00:38:00
    Intended use of LLMs
  • 00:41:30
    Performance of smaller model trained for specific task vs LLMs.
  • 00:45:00
    How LLMs fare when dealing with mathematical and reasoning problems
  • 00:52:40
    How small models are able to perform better than LLMs?
  • 00:55:45
    Future of LLMs and Traditional AI Models

Uncovering whether LLMs are the one part of the answer or the entire answer to your problem with our guest, Prof. Mausam, with our guest, Prof. Mausam, a distinguished figure in Computer Science at IIT Delhi with over 2 decades of experience in Artificial Intelligence.

In this episode, we discussed that LLMs aren't an answer to all AI-based problems. If you are trying to automate your factories, if you are trying to bring in predictive maintenance, if you want to do smarter planning, in all these automation tasks, LLMs are one part of the answer and aren't the entire answer. And so, the breakthrough in AI in the last couple of years in neural networks and language models alone isn't sufficient for us to get to this world. We dream of this world of AI-based automation and what it will do for us. It's got the potential, but there is an X factor that's still missing.

Guest started with discussing the misconception about large language models (LLMs) and their intended use. Initially designed for basic language tasks, summarizing text, recalling information, and answering basic to moderately complex questions, LLMs are much more intelligent than what was conceived.

He also talked about despite various attempts to improve the LLMs; they found that these enhanced models (LLMs) didn't match the performance of standalone trained models.

The conversation shifted to the limitations of LLMs in handling complex industry applications such as supply chain management. Guest highlighted that these tasks involve vast numerical considerations, vendor identification, object quantity determination, cost analysis, and optimization, which are beyond the capabilities of LLMs. 

When further discussing the reasoning capabilities and how they fare when dealing with a mathematical problem, it emerged that as the level of complexity of such problems goes up, the performance of these models goes down.

He mentioned it's better to use these models for writing code to solve mathematical problems rather than using them for solving such problems.

In the end, the guest shared his perspective on the future use of LLMs and traditional methods, and in his view, it will be better to help us solve our problems in the best way.

Production Team
Arvind Ravishunkar, Ankit Pandey, Chandan Jha

Top trending insights

Episode 7  |  45 Min  |  April 21

How AI will impact your business with Harvard Professor, Shikhar Ghosh

How AI will impact your business with Harvard Professor, Shikhar Ghosh

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Engaging topics at a glance

  • 00:10:30
    Introduction
  • 00:13:35
    Why AI is so disruptive?
  • 00:16:30
    How businesses and governments accept this new reality?
  • 00:19:20
    How enterprise leaders should approach the AI transformation?
  • 00:21:40
    New business models shaped with AI
  • 00:27:15
    Emotions, decisions, and algorithms
  • 00:34:35
    Are we ready yet?

Join us in this episode featuring Shikhar Ghosh, Professor, Harvard Business School, as we explore how AI can fundamentally impact business and society!

In the ever-evolving landscape of technology, artificial intelligence stands as a true disruptor, poised to reshape not only our businesses but also the very fabric of society. In a captivating podcast discussion with Shikhar Ghosh, Harvard Business School professor, we delve deep into the riveting world of AI, exploring why its impact is so seismic, how enterprise leaders should navigate this new frontier, the question of human relevance in the age of AI, and whether we are truly prepared for this transformative journey.

We will uncover the essence of AI's disruptive power and provide compelling insights into the sheer transformation that AI can herald.

Be prepared to be guided through the stormy seas of AI influence on businesses. Our expert highlights the critical importance of a well-defined AI approach. Enterprise leaders must be agile and proactive, recognizing that AI is not merely a tool but a transformational force. We will discuss how to approach AI with an open mindset, viewing it as a catalyst for innovation rather than just a threat.

We will also see why leaders should maximize the upside of AI. This underscores the value of human-machine collaboration, emphasizing that AI augments human capabilities rather than replacing them entirely. It's a matter of harnessing AI's analytical prowess to inform decision-making and free up human resources for more creative and strategic pursuits.

One of the most intriguing segments of the podcast explores the question that lingers in the minds of many: Will humans remain relevant in the age of AI? This is discussed with nuances that business leaders can take a leaf from and be proactive in embracing AI wisely and effectively.

In a world teetering on the precipice of AI-driven transformation, this podcast offers a compelling exploration of why AI is the disruptive force of our era. It presents an alluring narrative that transcends the technical jargon, making the topic accessible and engaging for both the tech-savvy and those new to the AI landscape. As we listen to Professor Shikhar’s captivating insights, we are left with a resounding question: Will we embrace AI as a catalyst for positive change, or will we be swept aside by its inexorable tide of disruption? The answer may very well determine the fate of businesses and society as we know it. Find out more, tune in to the full podcast and embark on a journey into the future of AI, business, and our shared human experience.

Production Team
Arvind Ravishunkar, Ankit Pandey, Chandan Jha

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