In this 300th episode of Data Driven and the premiere episode of season six, Frank and Andy interview Rupesh Malpani, whom Frank often refers to as the next Steve Jobs. Listen to this interesting conversation to find out why.LinksTranscription The following is AI Generated.

In this Data Point, Frank goes all MTV Cribs and shows us the data that the Pelton collects. He also provides a sneak peek into season 6 in this 299th show.

Recent news reports have come out about how a Google AI engineer in the responsible AI group claims that an AI he was working on has become sentient.Is it true? Can we ever really know if someone or something is sentient?Linkshttps://news.google.com/search?for=sentient&hl=en-US&gl=US&ceid=US%3Aen

In this episode, Frank and Andy speak to Prateek Joshi about how data can be used to reduce emissions, optimize resource utilization, and more.

In this episode, Frank and Andy welcome Jeff Coyle to the show.Jeff is the Co-founder and Chief Product Officer at Market Muse. Market Muse is the industry-leading technology and methodology for content planning and evaluation via semantic relevance. It combines advanced artificial intelligence, natural language processing and machine learning algorithms to produce actionable insights for inbound marketers.Enjoy the show.

Hello and Welcome to Data Driven.In this episode Frank and Andy discuss synthetic data. What is it? What advantages it has over so called real data?Of course, they do wander off topic, but that is why we love them.Enjoy the show.

Live stream where I discuss the artistic merit of AI generated art.

We've been quiet here lately, here's why.

Use code: DataDrivenBlackFriday when you sign up at https://www.datachannel.tv/user/subscribeOffer valid from November 26, 2021 until November 30th. Limited to the first 45 takers of the offer.Act now.

The podcast discusses the importance of design thinking in data and software projects. It explores challenges in requirements gathering and project management. They emphasize the value of empathetic design and conducting mini design thinking sessions. The speakers also discuss estimating work in Kanban, slack time in improving throughput, and the significance of data analysis and collaboration in design thinking. The chapter concludes with a discussion on writing a book and the benefits of design thinking in the discovery phase.