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.

When you look at companies, you can almost think about them as AI systems. They have an objective; they have a set of agents that are fine tuning different things…

– Shikhar Ghosh

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.

In some ways AI can do many of these things better than we can because it’s not emotional.

– Shikhar Ghosh

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

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

Gain valuable perspectives on integrating responsible AI into business strategies from Dr. Rachel Adams, CEO and founder of the Global Center on AI Governance.

In this insightful podcast, we embark on a journey to understand the intricate landscape of responsible AI practices, especially tailored for business leaders. Dr. Rachel Adams, one of the top global voices on responsible AI and the founder and CEO of the Global Center on AI Governance, serves as our guide through this complex terrain.

The conversation begins by framing the discussion around the concept of "thinking with care" when it comes to AI development and deployment. Dr. Adams emphasizes the importance of inclusivity and diversity in AI development, particularly in addressing the unique needs of different regions and communities worldwide. She stresses the significance of aligning technological advancements with the real needs of people, advocating for a user-centric approach driven by community engagement and feedback.

As the dialogue progresses, the focus shifts towards the role of business leaders in navigating the multifaceted dimensions of responsible AI. Dr. Adams elucidates the critical considerations that business leaders must keep in mind during both the development and deployment phases of AI initiatives. From addressing inherent biases in AI models to safeguarding user privacy and data protection, she outlines a comprehensive framework for ethical AI governance within organizations.

Moreover, Dr. Adams sheds light on emerging policy developments in the field of AI regulation, highlighting the European AI Act as a pioneering effort in this space. She underscores the need for nuanced, sector-specific regulations tailored to the diverse contexts and challenges faced by different industries and regions.

Throughout the conversation, Dr. Adams emphasizes the importance of collaboration and cross-disciplinary dialogue in advancing responsible AI practices. She underscores the need for closer collaboration between technologists, policymakers, and communities to navigate the evolving landscape of AI governance effectively.

As the podcast draws to a close, we reflect on the fundamental principles of responsible AI adoption, emphasizing the imperative of "thinking with care" in every aspect of AI development and deployment. Dr. Adams reiterates the need for a collective effort to ensure that AI technologies are developed and deployed in a manner that prioritizes human values, equity, and societal well-being.

In summary, this podcast provides invaluable insights into the complex challenges and opportunities presented by AI technology for business leaders. Through engaging dialogue and expert analysis, Dr. Rachel Adams offers a roadmap for ethical AI adoption, empowering business leaders to navigate the ethical complexities of AI with confidence and integrity.

Production Team
Arvind Ravishunkar, Ankit Pandey, Chandan Jha