Join us as we explore the impact of AI on product innovation and marketing with Set Godin, Bestselling author.

In this episode of Unpacked, marketing guru Seth Godin delves into the profound changes and opportunities AI brings to marketing and product development. The conversation emphasizes the necessity to adapt and harness AI’s potential to build remarkable products.

I think AI is the biggest change in our world since electricity. And I think it has been under-understood and we’re not even coming close to understanding what it’s going to do.

– Seth Godin

Seth begins by discussing the evolution of marketing, highlighting the transition from traditional methods to more innovative approaches driven by technology. He underscores that the essence of marketing remains the same: understanding and meeting customer needs. However, the tools and strategies have significantly evolved, with AI playing a pivotal role.

AI’s impact on marketing is multifaceted. Seth explains that AI enables more precise targeting and personalization, allowing marketers to deliver tailored experiences to consumers. This not only enhances customer satisfaction but also drives engagement and loyalty. He stresses that marketers must embrace AI to stay competitive, as it offers insights and capabilities that were previously unattainable.

Building on this, Seth explores how AI can aid in creating remarkable products. He asserts that AI can streamline product development processes, from ideation to execution. By analyzing vast amounts of data, AI can identify trends, predict consumer preferences, and optimize designs. This accelerates innovation and helps companies bring products to market faster and more efficiently.

If you are not using AI as that sort of intern slash clerk slash assistant slash brainstorming partner, you are wasting a lot of your time.

– Seth Godin

A key theme throughout the podcast is the importance of being remarkable. Seth emphasizes that in a world saturated with options, standing out is crucial. Remarkable products are those that elicit conversations and inspire loyalty. AI can help identify what makes a product remarkable by analyzing consumer feedback and market trends, enabling companies to refine and enhance their offerings continuously.

Seth also touches on the ethical considerations of using AI in marketing. He advocates for transparency and responsible use of AI, ensuring that consumer trust is maintained. Marketers should be mindful of privacy concerns and strive to use AI in ways that benefit consumers without compromising their rights.

The conversation then shifts to practical advice for marketers looking to leverage AI. Seth suggests starting with small, manageable projects to gain familiarity with AI tools and build internal expertise. He also recommends collaborating with AI specialists and investing in training to bridge any knowledge gaps.

And now that we have the chance to have a trillion dollar workforce of AI assistants who will work for us for free, how are we gonna use it? What are we gonna use it for? What would make it worth it?

– Seth Godin

Seth concludes with a call to action for marketers. He urges them to embrace AI not just as a tool but as a transformative force that can elevate their marketing efforts and product development. By being proactive and innovative, marketers can create remarkable products that resonate with consumers and drive business success.

In summary, the podcast with Seth Godin provides valuable insights into the intersection of AI and marketing. It highlights the potential of AI to revolutionize product development and underscores the importance of creating remarkable products in today’s competitive landscape. Seth’s practical advice and call to action inspire marketers to embrace AI and leverage its capabilities to stay ahead of the curve.

“Developing GenAI Strategy” with guest Omid Bakhshandeh, AI Scientist with a PhD in Artificial Intelligence, discusses how organizations can foray into adoption of GenAI.

Whether you are the company's CEO or leading a business unit, if you're asking yourself the question, should I develop an AI strategy? That's the wrong question because today, we know that if you don't have an AI strategy, the odds of you being successful in the next couple of years will diminish. So, the right question is, what is my AI strategy, and how fast can I deploy this strategy? To answer this question, large language models are at the heart of every company's AI strategy. In a previous episode with Professor Anum Datta, we unpacked LLMs and explored what LLMs are. In this episode, that conversation was taken to the next level, and we discussed the key things you need to know about LLMs that'll help you develop your company's AI strategy.

Looking at the current landscape of Large Language Models (LLMs), these LLMs capture vast amounts of knowledge and serve as repositories of knowledge that have given rise to foundational models. With this concept, there's no need to initiate the training of an LLM from the ground up. Instead, existing LLMs available in the market, which have already encapsulated knowledge, can be harnessed and seamlessly integrated into applications. It is beneficial for companies in most cases to follow this strategy. The inherent trade-off pertains to the risk of foregoing the utilization of established LLMs, which could result in a delay in promptly reaching the market.

On the contrary, some companies, characterized by their possession of significant volumes of unique and customized data, may contemplate the development of proprietary foundational models and specific LLMs. This strategic manoeuvre facilitates the integration of such models into their respective industries and provides avenues for potential monetization opportunities.

The key for leaders is to pay close attention to the potential use cases, data, and the support system available when building the AI strategy.

Production Team
Arvind Ravishunkar, Ankit Pandey, Chandan Jha

This podcast offers valuable insights about the limitations of current AI reasoning, including common sense reasoning, and debunks the hype around AGI, which viewers can apply in their field.

In this podcast, Arvind interviews Dr. Srinivas Padmanabhuni, who has a PhD in common sense reasoning from the University of Alberta and is a founder of an AI startup testAIng.com.

Dr. Srinivas explains that the concept of the old Aristotelian logic is just not enough to capture human-level reasoning. The traditional logic that is taught in schools is based on zero one, which is just one part of our reasoning. Human beings reason a lot more than that, and the way AI reasons today is a very narrow, myopic way of reasoning.

Dr. Srinivas then shares his thoughts on AGI (Artificial General Intelligence). He thinks that it is too premature to talk about AGI, and it’s only marketing. He says that AI is not able to invent anything new unless it is actually coming from somewhere, some large corpus existing somewhere. He says that unless you really have a common sense level agent, which can think about reasoning, you cannot just think about AGI.

The podcast also discusses the limitations of AI and what we can expect from it in the future. Dr. Srinivas explains that AI is not capable of inventing anything new, but is only capable of processing information and making predictions based on existing data. He suggests that AI is best used for tasks that involve large amounts of data processing, such as financial analysis, medical diagnosis, and weather forecasting.

Dr. Srinivas also talks about the importance of common sense reasoning and how it is an essential part of human-level reasoning, which is missing in AI today. He explains that common sense reasoning is necessary for tasks such as understanding jokes, sarcasm, and metaphors.

Towards the end of the podcast, Arvind and Dr. Srinivas discuss the future of AI and its potential applications. They suggest that AI has the potential to revolutionize industries such as healthcare, retail, and transportation. However, they also caution that the development of AI should be done in an ethical and responsible manner, with consideration for the potential risks and consequences.

Overall, the podcast is very informative for anyone who wants to learn about the field of AI. It gives a good understanding of the limitations of AI and what we can expect from it in the future. The podcast also highlights the importance of common sense reasoning and how it is an essential part of human-level reasoning, which is missing in AI today. Lastly, the podcast emphasizes the need for ethical and responsible development of AI, with consideration for the potential risks and consequences.

Production Team
Arvind Ravishunkar, Ankit Pandey, Chandan Jha