Infinite Curiosity Pod with Prateek Joshi

Scott Taylor runs MetaMeta Consulting and is the author of the book Telling Your Data Story. He is one of the most prolific speakers and writers on the topic of data management. He's been on DataIQ 100, Thinkers360 Top 10, and a Dataversity Top 10 Blogger. He was at Nielsen for 14 years and has a degree from UC Berkeley.In this episode, we cover a range of topics including:- Master data management- Data storytelling- Data vs analytics- How to communicate data quality issues- The journey of managing master data

Matt Harrison is a world-renowned expert on Python and Data Science. He has a CS degree from Stanford University. He is a best-selling author on Python and Data subjects. He is the author of books such as Effective Pandas, Illustrated Guide to Learning Python 3, Intermediate Python, Learning the Pandas Library, and Effective PyCharm. They've ALL been best-seller on Amazon. He is an advisor to Ponder, the Enterprise Pandas company. You can check out his online store and his course on Pandas.  In this episode, we cover a range of topics including:- Corporate training and upskilling- The process of training- Similarities and differences between the learning mechanisms for adults vs children- Framework for data practitioners to educate themselves- Biggest gap in skills today- Modes of learning- Measuring the efficiency of training products and services

Ben Taylor is the Chief AI Evangelist at DataRobot. He's a veteran thought leader on AI with over 16 years of experience. He was at Intel and Micron working on photolithography, process control, and yield prediction groups. He joined an AI hedge fund as an expert in high performance computing and AI, where he built models using a cluster of 600 GPUs. He then joined a young HR startup called HireVue, where he built out their data science group, filed 7 patents, and helped to launch their AI insights product using video/audio from candidate interviews. In 2017, Taylor co-founded Zeff.ai to pursue deep learning for image, audio, video, and text for the enterprise.In this episode, we cover a range of topics including:- Automating network design with genetic programming and deep learning- Key learnings as HireVue's first data scientist- Why he doesn't like Tensorflow- Metaheuristics- Key learnings as the cofounder of Zeff.ai- What does it take to go from 0-to-1 when building an ML product 

Srinath Sridhar is the cofounder and CEO of Regie.ai where they're building a content platform for modern revenue teams. He was one of the first 100 engineers of Facebook. He was a member of the founding team at Bloomreach where he built v1 of many of their products. He was the cofounder and CTO of Onera, which recently got acquired by Accel KKR / Toolsgroup. He's also an investor in many startups. In this episode, we cover a range of topics including:- how to build the v1 of a machine learning product- what does it take to scale a product- using generative AI in business- how to talk to customers- how to identify promising ML startups

In this episode, Prateek Joshi talks about:- Images captured by James Webb space telescope- Discovery of rare earth elements in Turkey- Meta's large language model NLLB-200 that can translate 200 languages- Minerva: Google's AI system that can solve quantitative reasoning problems- Google demonstrates quantum advantage for machine learning- MIT and Stanford researchers show how robots can handle deformable material- How GPT-3 can explain a piece of code

Adam Sroka is the Head of Machine Learning Engineering at Origami Energy where he's helping build a green energy world. Their trading and automation software enables energy companies to harness the commercial opportunities of the global energy transition. He is an experienced AI leader helping organizations unlock value from data and build high-performing teams from the ground up. He shares his thoughts and ideas through public speaking, tech community events, and on his blog.In this episode, we cover a range of topics including:- how energy markets work- renewable energy- solving climate problems- building teams- why it's important for data scientists to know software engineering

Doug Laney is the Data & Analytics Strategy Innovation Fellow at West Monroe Partners. He consults to business, data, and analytics leaders on conceiving and implementing new data-driven value streams. He originated the field of infonomics and authored the best-selling book Infonomics. He is a three-time Gartner annual thought leadership award recipient, a World Economic Forum advisor, a Forbes contributing author, and co-chairs the annual MIT Chief Data Officer Symposium. He also is a visiting professor at the University of Illinois and Carnegie Mellon business schools, and sits on various high-tech company advisory boards.In this episode, we cover a range of topics including:- Infonomics - His latest book Data Juice - Quantifying data's economic value - Applying asset management principles to data management - Data monetization patterns - Collateralizing data - Underwriting and insuring the data asset - Testing ideas for feasibility - How to price data products 

In this episode, the host Prateek Joshi talks about:- The question of whether AI is sentient- Yann LeCun's recent proposal on Autonomous Machine Intelligence- NASA's helicopter on Mars- Amazon's AI-powered coding assistant- A reconfigurable AI chip built by MIT engineers

Jason Krantz is the founder of Strategy Titan. Their offering simplifies workforce and compensation data so that businesses can confidently make hiring and retention decisions. He has access to a goldmine of data on talent trends and where the labor market is heading.In this episode, we cover a range of topics including:- Trends in the US labor market- Talent trends in the AI sector- Full time vs gig economy- Flow of talent across sectors- How can businesses leverage data on jobs and compensation to differentiate themselves- Similarities and differences across hyperlocal job markets in US- The craft of employee retention

Jordan Morrow is the VP of Data and Analytics at Brainstorm. He has been in data for a long time now across companies like Qlik and Pluralsight. He is a two-time winner of Data IQ100, a list of the most influential data and analytics practitioners. He has built expertise in the area of data literacy and upskilling.In this episode, we cover a range of topics including:- Data literacy- Upskilling and reskilling- Learning platforms for data professionals- Where are the gaps in skills for data professionals- Landscape of products for education and upskilling- What's the next unlock for the education market