10 Best Predictive Analytics Podcasts

1. The Harry Glorikian Show

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At The Harry Glorikian Show, I, Harry Glorikian, am your host. In short, I have talks with leaders in the healthcare & life sciences industry about the ongoing data-driven transformation of their industry.From new ways to diagnose & treat patients, bring down costs & creating new value, all the way to AI algorithms that increase efficiency & accuracy, better data is revolutionizing healthcare.I turn to doctors, hospital administrators, IT directors, entrepreneurs, & others for help mapping out the changes & their impact on everyone from patients to researchers.Welcome to the show!MORE Host Harry Glorikian
Producer/Network Harry Glorikian
Email ****@me.com
Apple Rating 4.9/5Apple Reviews 63Twitter 822 Avg Length 54 min Format Long form Get Email Contact Get access to full database of 2.7M podcastsCreate podcast lists, export in spreadsheet or CSV file with email contacts and start your podcast outreach in minutes.Sign Up for Free

2. Microsoft Mechanics Podcast

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Made for tech enthusiasts and IT professionals. Expanded coverage of your favorite technologies across Microsoft; including Office, Azure, Windows and Data Platforms. We'll even bring you broader topics such as device innovation with Surface, machine learning, and predictive analytics.MORE Host Jeremy Chapman
Producer/Network Microsoft Mechanics
Email ****@gmail.com
Apple Rating 4.2/5Apple Reviews 30Facebook 180Twitter 147.4K Since Aug 2016 Get Email Contact

3. Data Citizens Dialogues

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Join Collibra as we unite listeners around the importance of data and unpack its impact on the world. We sit down with customers, partners and thought leaders to discuss some of the hottest topics in the industry — from AI governance to the importance of data sharing to how to ensure data reliability and beyond. Welcome to The Data Citizens Dialogues.MORE Host Thomas Brence
Producer/Network Collibra
Email ****@collibra.com
Apple Rating 5/5Apple Reviews 21 Avg Length 29 min Format Medium form Get Email Contact

4. The Dr. Data Show with Eric Siegel

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Eric Siegel covers why machine learning is the most important, most potent, and most misunderstood technology. And did I mention most important?Yup, it's the most important yet most new ML projects fail to deliver value. This podcast will help you:- Make sure machine learning is effective and valuable- Catch common machine learning oversights- Understand ethical pitfalls concretely- Sniff out all the 'artificial intelligence' malarkyThis podcast is for both data scientists and business leaders of all kinds such as executives, directors, line of business managers, and consultants who ..MORE Producer/Network Eric Siegel
Email ****@predictionimpact.com
Apple Rating 5/5Apple Reviews 1 Avg Length 12 min Format Short form Get Email Contact

5. Histories of the Future

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The intricacies of global value chains have led to the localization of variability and risk, causing an array of unforeseen consequences. Each week join Jonathon Karelse, an expert in demand planning, sales, and operations planning, and predictive analytics, as he speaks with innovators and creative thinkers who have successfully and strategically transformed their teams...MORE Producer/Network Jonathon Karelse
Email ****@forbesbooks.com
Apple Rating 5/5Apple Reviews 4Facebook 3.3KTwitter 1.6K Avg Length 20 min Format Short form Get Email Contact

6. Healthcare on the Rocks - Employee Benefits with a Twist

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We talk with employers, benefits advisors, technology innovators, and other experts in wellness, human resources, and healthcare.'Healthcare on the Rocks' is a production of Springbuk. Imagine a world where every healthcare decision is backed and guided by data. Springbuk is the health data analytics solution that equips you with the insights and expertise you need to sharpen your benefits strategy, advance employee health, and contain costs...MORE Hosts Brittany Hardaway, David Pittman, Jennifer A Jones, Mike Pattengale
Producer/Network Springbuk Inc.
Email ****@springbuk.com
Apple Rating 5/5Apple Reviews 4Facebook 249Twitter 800 Avg Length 24 min Format Medium form Get Email Contact

7. The Artificial Cities Podcast

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Artificial Cities is collecting city real-time data to leverage Artificial Intelligence and Machine Learning to secure the future of our cities. Submit a city problem and our team will not only solve the problem, but we'll also build predictive analytics to predict or avoid future problems, thus improving the quality of life for the community while also saving our cities money.We will discuss topics in the spaces pertaining to AI, Future Cities/Futurism, Technology, Sustainability, Policy and much more.MORE Producer/Network Artificial Cities
Apple Rating 5/5Apple Reviews 1Facebook 9.8K Avg Length 58 min Format Long form Get Email Contact

8. The Buzz @SWARM

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If you're curious about Challenge Engineering™ and using data science, machine learning, and AI to solve challenges in the food value chain then this podcast is for you.
Host Holly Self
Producer/Network SWARM Engineering
Email ****@swarm.engineering
Apple Rating 5/5Apple Reviews 1Twitter 81 Avg Length 38 min Format Medium form Get Email Contact

9. Discovering AI - the Future of Artificial Intelligence

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We live in the age of AI. Artificial Intelligence is ubiquitous in today's business and technology landscape. From industrial automation to smart homes, from online advertising to predictive analytics, from self-driving cars and medical diagnostics, AI is everywhere.We are going to talk about the FUTURE of Artificial Intelligence: AI market trends, interesting AI Applications and why Artificial Intelligence is becoming so pervasive in our World.Stay tuned and don't miss the episodes of Discovering AI - the Future of Artificial Intelligence!MORE Producer/Network Diego Gosmar
Email ****@yahoo.it
Instagram 194 Avg Length 8 min Format Bite size Get Email Contact

10. Big Data Systems (WS 2021/22) - tele-TASK

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The amount of data that can be generated and stored in academic and industrial projects and applications is increasing rapidly. Big data analytics technologies have established themselves as a solution for big data challenges to the scalability problems of traditional database systems. The vast amounts of new data that is collected, however, usually is not as easily analyzed as curated, structured data in a data warehouse is...MORE Producer/Network Prof. Dr. Tilmann Rabl
Email ****@hpi.de
Apple Reviews 1 Get Email Contact