Doug Finke on PowerShell, AI, and the future of Small Language Models
In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and…
Luke Diaz on Leveraging Data for Customer Retention and Business Growth
Welcome to show 357 of the Data Driven podcast! This week, we welcome Luke Diaz to the show. Luke has an impressive track record of scaling startups to staggering annual recurring revenues, and today, he’s here to shed light on the pivotal role of customer success in growing a business. We’ll dive deep into the…
Lauren Maffeo on Data Governance from the Ground Up
In this episode of Data Driven, Frank and Andy Leonard are joined by guest speaker Lauren Maffeo to discuss data governance from the ground up. The conversation revolves around the importance of data governance in relation to generative AI, copyright infringement, and protecting consumer rights. They explore topics such as the need for proactive cybersecurity…
*DataPoint* The Costco Test, How to Determine the Line Between Data and Big Data
In this Data Point recorded at a Costco during the post-holiday shopping season, Frank explains his algorithm for determining that magical point when a lot of data becomes “Big Data.” Given the constant advances in storage technologies, that borderline is a moving goalpost that’s hard to measure. Or is it?
*DataScienceDaily* Teaching AI to Spot Lung Cancer, Inference Made Simple, and How Much Data Does a Self-Driving Car Create in a Day?
Data Science Daily Story Links @gp_pulipaka Training AI To Spot Lung Cancer. #BigData #MachineLearning #DataScience #AI #HealthTech #Cancer http://buff.ly/2toVgtD @kdnuggets Inference Made Simple – Applying the reasoning power of GRAKN.AI to find new #knowledge about the world http://buff.ly/2toYeOQ #DataScience @jenstirrup @makeurdatawork Nice summary of #DeepLearning and #MachineLearning: http://dld.bz/fTqqh #BigData #DataScience pic.twitter.com/R6UOVFA6Zb via @kirkdborne @DeborahTannon #DataScience…