#64 Intersections of Analytics, AI, Linguistics and Culture with Prashant Natarajan – Principal, AI & Analytics

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Prashant Natarajan has 18+ years’ experience in building EMRs, ERP, big data platforms, actionable analytics, and machine/deep learning applications. Before joining Deloitte, he served in hands-on global consulting and product leadership roles at H2O.ai, Oracle, McKesson Payer Solutions, Healthways, and Siemens. Prashant is Co-Faculty Instructor of Data Science and AI at Stanford University School of Medicine, Palo Alto, CA, USA. He volunteers as an industry expert and guest lecturer at leading Australian universities. Prashant serves as an industry advisor at the CIAPM computer vision project in University of California San Francisco, Council for Affordable Health Coverage, and Pistoia Alliance Center for Excellence in Artificial Intelligence.  

In this episode, Prashant describes how essential human interaction is for success. In a technology-heavy space, human interaction and linguistics were not very common. Instead of complaining about it, Prashant went and got his masters to focus on English in the technology space. To have success, we need a clear understanding of culture. Culture is language, and language at its core is mathematics. How do we interact with people to figure out what their strengths are? Prashant considers himself the luckiest person on earth to have the experiences he has had in his career. 

Then, Prashant discusses how to identify business problems and integrate it with data science. Data analytics is as old as when humans started interacting with each other. By nature, all human beings are data analytics, consuming creatures. Historically, the application of computing data and analysis have been humans trying to define a problem, find data to solve the problem, and then writing algorithms that will create insights. Prashant is a massive admirer of the human mind and the human brain, which is far superior to any artificial machine. When it comes to AI, computing can do things that the human mind cannot. Business leaders must look at data science as a way to help them define business problems, rather than purely using deduction. Later, Prashant advises companies moving into data-driven products, explains horizontal capabilities, and the use of machine learning in healthcare. 

Enjoy the show!

We speak about:

  • [01:25] How Prashant started in the data space 

  • [03:45] Studying communications and linguistics  

  • [08:45] Mentoring young professionals  

  • [11:45] Work with people who are smarter than you  

  • [15:00] Merging business problems with data science  

  • [19:45] The value business leaders see in data  

  • [25:00] Advice for companies who are moving into data-driven products

  • [29:45] What excites Prashant about the future of data 

  • [34:05] Horizontal capabilities 

  • [37:20] The use of machine learning in healthcare  

  • [44:20] Improving product development 

  • [48:40] Prashant’s proudest moment

  • [50:15] The manufacturing industry 

  • [52:20] We learn more from our failures than our successes 


Prashant’s LinkedIn: https://www.linkedin.com/in/natarpr/

Demystifying Big Data and Machine Learning for Healthcare (Himss Book)


  • “Human interaction is the most key determiner of success or not.”

  • “Today, we have the technology that has caught up with the human need.”

  • “Data science is increasingly a horizontal capability that will impact all of us.”

  • “I celebrate relationships because they allow me to learn.”

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Prashant Natarajan is based in Melbourne, Victoria, Australia.

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!

#56 Every Business is an AI Business with Dr. Eric Daimler – Serial Entrepreneur, Technology Executive, Investor and Policy Advisor

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Dr. Eric Daimler is an authority in Artificial Intelligence & Robotics with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor. Daimler has co-founded six technology companies that have done pioneering work in fields ranging from software systems to statistical arbitrage. Daimler is the author of the forthcoming book Every Business is an AI Business, a guidebook for entrepreneurs, engineers, policymakers, and citizens on how to understand—and benefit from—the unfolding revolution in AI & Robotics. A frequent speaker, lecturer, and commentator, he works to empower communities and citizens to leverage AI & Robotics. For a more sustainable, secure, and prosperous future.

In this episode, Eric explains how he has a vivid memory of getting a computer at the age of nine. He loves the machine, and even at such a young age saw the freedom a computer allows. Early in his career, Eric knew he wanted to work with brilliant and motivated people. When he was in New York, he saw the Netscape browser and instantly recognized the world was going to change. This inspired him to get out and find opportunities on the west coast.

Eric’s most significant failure as an investor was with a sports company. It was an idea of aggregating the worldwide demand for niche sports into an audience on the web that would allow for more significant marketing dollars. It was a fantastic idea and seemed like the appropriate time to go for it. One of his biggest takeaways from being an investor is that timing matters a lot. The bandwidth wasn’t there, so the experience ended up being quite weak.

There is a great deal of money looking to chase the next big thing. If you are looking for a house in a new city, and someone outbids you, you will lose the house. That doesn’t mean you aren’t going to move; it just means you need to start looking for a new home. If you receive a pitch and then some name brand firm takes it away from you, that doesn’t mean you can’t work in that field anymore. Now you have done your due diligence, you understand the market better and can look for other investment opportunities in the area.

AI is a system. We have to embrace this technology in its totality, the survival of our species depends on it. We have famously been able to survive to 2019.  There was a prediction back in the 1800s that we would have starved by now because the population was growing faster than our food production. Increase in productivity comes from technology and automation. When Eric is speaking, he likes to ask the audience what comes to mind when he mentions the term AI. People just don’t know what the word means. One of the critical issues that need to be addressed when companies employ AI is the recognition that our understanding of technology may change. Even the meaning of data has changed over the last year. Later, Eric explains how people have a long way to go regarding embracing AI, how technology is making driving easier, and AI in the medical field.

Enjoy the show!

We speak about:

  • [02:10] How Eric started in the technology space

  • [05:15] Moving from one career path to another

  • [09:50] Eric’s most significant failure as an investor

  • [13:30] Picking the timing  

  • [18:15] AI is larger than what currently exists  

  • [21:30] Embracing the technology behind AI

  • [29:45] Hurdles for companies who are adopting AI  

  • [41:30] Reactions from people learning about AI

  • [48:40] Shortage of truck drivers + how technology is making driving easier

  • [54:00] AI in the medical field

  • [61:30] Using a categorical approach  


Eric’s LinkedIn: https://www.linkedin.com/in/ericdaimler/

Eric’s Twitter: https://twitter.com/ead

Website: http://conexus.ai/


  • “Most people get the timing very wrong.”

  • “I am starting to look at investments where others are not looking.”

  • “I wanted to change the Hollywood narrative around AI.”

  • “We were naive about our privacy in 2016.”

Now you can support Data Futurology on Patreon!  


Thank you to our sponsors: 

UNSW Master of Data Science Online: studyonline.unsw.edu.au 

Datasource Services: datasourceservices.com.au or email Will Howard on will@datasourceservices.com.au 

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Dr. Eric Daimler is based in San Francisco, California.

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!