Send us a text Replay Episode: Python, Anaconda, and the AI Frontier with Peter Wang Peter Wang — Chief AI & Innovation Officer and Co-founder of Anaconda — is back on Making Data Simple! Known for shaping the open-source ecosystem and making Python a powerhouse, Peter dives into Anaconda’s new AI incubator, the future of GenAI, and why Python isn’t just “still a thing”… it’s the thing. From branding and security to leadership and philosophy, this episode is a wild ride through the biggest opportunities (and risks) shaping AI today. Timestamps:  01:27 Meet Peter Wang 05:10 Python or R? 05:51 Anaconda’s Differentiation 07:08 Why the Name Anaconda 08:24 The AI Incubator 11:40 GenAI 14:39 Enter Python 16:08 Anaconda Commercial Services 18:40 Security 20:57 Common Points of Failure 22:53 Branding 24:50 watsonx Partnership 28:40 AI Risks 34:13 Getting Philosophical 36:13 China 44:52 Leadership Style

Linkedin: linkedin.com/in/pzwang Website: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Peter Wang, Chief AI and Innovation Officer and Co-founder of Anaconda, is back. Peter discusses Anaconda’s AI incubator. "It turns out Python is still a thing". Python and much, much more. 01:27 Meet Peter Wang05:10 Python or R05:51 Anaconda's Differentiation07:08 Why the Name Anaconda08:24 The AI Incubator11:40 GenAI14:39 Enter Python16:08 Anaconda Commercial Services18:40 Security20:57 Common Points of Failure22:53 Branding24:50 watsonx Partnership28:40 AI Risks34:13 Getting Philosophical36:13 China44:52 Leadership StyleLinkedin: linkedin.com/in/pzwang Website: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Davit Buniatyan. Davit is founding CEO of Activeloop, he started his PhD at Princeton University, his research involved reconstructing the connectome of the mouse brain. In this research he dealt with large-scale unstructured data which was extremely expensive (amounting to millions of dollars) to manage. Later on, he realized that this problem is a real pain point, not only in the lab setting but also for many companies across industries. This made him think of a radically more efficient, and a machine-learning native way to work with data. The idea of changing how an ML team can create and manage datasets got him into Y Combinator, where he started Activeloop, a startup that has attracted the investment of prominent Silicon Valley VC firms and angel investors, and the attention of the open-source community, with the framework trending number 1 in Python on GitHub worldwide earlier this year. Show Notes 2:05 – Davit’s experience 6:44 – What is your success criteria in the mouse connectome? 8:44 – What did you learn from this? 10:00 – Could this solve ALS? 13:19 – What is the problem you’re solving 17:17 – How do you prepare the data? 24:00 – Why are the naysayers wrong? 25:21 – What is the name of the technology? 31:19 – What problem have you not solved? 37:44 – What keeps you up at night? 38:42 – How are you finding talent?  41:06 – What do you do for fun? Activeloop Activeloop - Twitter Davit Buniatyan - LinkedIn Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Adam Weinstein is currently CEO and Co-Founder of Cursor, having worked at LinkedIn as a Senior Manager of Business Development and having founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and provides insight into creating a successful startup.

Shownotes

00:00 - Check us out on YouTube and SoundCloud!   

00:10 - Connect with Producer Steve Moore on LinkedIn & Twitter   

00:15 - Connect with Producer Liam Seston on LinkedIn & Twitter.   

00:20 - Connect with Producer Rachit Sharma on LinkedIn.

00:25 - Connect with Host Al Martin on LinkedIn & Twitter.   

00:55 - Connect with Adam Weinstein on LinkedIn.

03:55 - Find out more about Cursor.

06:45 - Learn more about Cursor's Co-Founder and CEO Adam Weinstein.

13:10 - Learn more about Big Data Analytics.

19:20 - What is Python/Jupyter Notebooks?

26:35 - Learn more about Data Fluency.

35:30 - What is a startup?  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidy verse packages for the R programming language. He was named a Fellow by the American Statistical Association for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing".

Show Notes 2:39 – Hadley talks about his journey  5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice" 8:00 – Tidy data concept 9:02 - How Hadley became interested in big data and R 10:12 – Python and R 12:30 – What Hadley is doing now 13:47 – Top 3 packages that help data scientists  17:47 – Hadley discusses his book  22:48 – Writing a book vs. code 29:40 – What language is going to take over 31:01 – What’s next for data 31:54 – What’s cool for Hadley 36:26 – Hadley’s Role model Hadley Wickham’s books Ggplot2 R for Data Science Advanced R R Packages Hadl Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Peter Wang Co Founder and CEO of Anaconda and Shadi Copty VP of Offering Manager. Al, Peter, and Shadi discuss Data Science and IBMs partnership with Anaconda. Show Notes 6:11 - Corporate Mission 8:00 - Use Case 9:20 - IBM and Anaconda partnership 14:04 - Cloud Pak for Data what is it? 15:43 – Python vs R 17:15 – Anaconda’s Future 23:25 – Shadi takes over from Al 25:05 – Data Science Community 33:40 – Centre of Humane Technology   Anaconda - https://www.linkedin.com/company/anacondainc/

Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Adam Weinstein is currently CEO and Co-Founder of Cursor, having worked at LinkedIn as a Senior Manager of Business Development and having founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and provides insight into creating a successful startup.

Shownotes

00:00 - Check us out on YouTube and SoundCloud!   

00:10 - Connect with Producer Steve Moore on LinkedIn & Twitter   

00:15 - Connect with Producer Liam Seston on LinkedIn & Twitter.   

00:20 - Connect with Producer Rachit Sharma on LinkedIn.

00:25 - Connect with Host Al Martin on LinkedIn & Twitter.   

00:55 - Connect with Adam Weinstein on LinkedIn.

03:55 - Find out more about Cursor.

06:45 - Learn more about Cursor's Co-Founder and CEO Adam Weinstein.

13:10 - Learn more about Big Data Analytics.

19:20 - What is Python/Jupyter Notebooks?

26:35 - Learn more about Data Fluency.

35:30 - What is a startup? 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.