Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. DataTopics Unpluggedis your go-to spot for relaxed discussions around tech, news, data, and society. Dive into conversations that should flow as smoothly as your morning coffee (but don’t), where industry insights meet laid-back banter. Whether you're a data aficionado or just someone curious about the digital age, pull up a chair, relax, and let's get into the heart of data—unplugged style! In this episode: OpenAI asks White House for AI regulation relief: OpenAI seeks federal-level AI policy exceptions in exchange for transparency. But is this a sign they’re losing momentum?Hot take: GPT-4.5 is a ‘nothing burger’: Is GPT-4.5 actually an upgrade, or just a well-marketed rerun?Claude 3.7 & Blowing €100 in Two Days: One of the hosts tests Claude extensively—and racks up a pricey bill. Was it worth it?OpenAI’s Deep Research: How does OpenAI’s new research tool compare to Perplexity?AI cracks superbug problem in two days: AI speeds up decades of scientific research—should we be impressed or concerned?European tech coalition demands ‘radical action’ on digital sovereignty: Big names like Airbus and Proton push for homegrown European tech.Migrating from AWS to a European cloud: A real-world case study on cutting costs by 62%—is it worth the trade-offs?Docs by the French government: A Notion alternative for open-source government collaboration.Why people hate note-taking apps: A deep dive into the frustrations with Notion, Obsidian, and alternatives.Model Context Protocol (MCP): How MCP is changing AI tool integrations—and why OpenAI isn’t on board (yet).OpenRouter.ai: The one-stop API for switching between AI models. Does it live up to the hype?OTDiamond.ai: A multi-LLM approach that picks the best model for your queries to balance cost and performance.Are you polite to AI?: Study finds most people say "please" to ChatGPT—good manners or fear of the AI uprising?AI refusing to do your work?: A hilarious case of an AI refusing to generate code because it "wants you to learn."And finally, a big announcement—DataTopics Unplugged is evolving! Stay tuned for an updated format and a fresh take on tech discussions. 

Please join PyData Pittsburgh for the talk The emerging AI regulatory landscape: What technology practitioners need to know from patent attorney, space lawyer, and technology transfer maven Steven Wood. Steven's talk will touch on major developments in the legal and regulatory landscape affecting the development and use of AI technology, including the EU AI Act, the US Executive Order on the "Safe, Secure, and Trustworthy Development and Use of AI", export controls, concerns around intellectual property and copyright, and more.

We'll be gathering in person at the Code & Supply Workspace.

How to find us

Attendees are welcome to use the parking lot associated with the Code & Supply building off St. Clair Street. The front door on Friendship Avenue will be open but is stairs-only. There's an elevator by the parking lot entrance. Head to the third floor and look for signs pointing to the presentation room, where the event will be held. All doors should be unlocked and open, so you're welcome to come right in!

About the talk

Current advances in artificial intelligence (AI) have created much excitement and concern with experts across industry, academia, and government considering both the present and future capabilities of and potential existential threats posed by AI. AI experts, politicians, policymakers, and others have called for regulation and controls on the development and proliferation of AI, some going so far as to suggest that AI represents an extinction-level threat to humanity.

Currently, various regulatory regimes relating to the development and standardization of AI technologies exist and need to be considered. The specific laws depend in part on geographic location, as jurisdictions such as the European Union (EU) already have their own legislation (EU AI Act) and more than 30 US States have started regulating AI, enacting over 50 state-level laws in the absence of broad federal legislation. Further, international efforts between the EU and US seek to provide support and leadership in international standardization efforts by collaborating on development of technical AI standards, some currently underway before the International Organization for Standardization. These standards impact the design, operation, measurement, evaluation, and risk management of trustworthy AI.

In January 2023, the White House Office of Science and Technology Policy published its Blueprint for an AI Bill of Rights and the National Institute of Standards and Technology released an AI Risk Management Framework. On October 30, 2023, building on earlier work, including an executive order directing agencies to combat algorithmic discrimination and obtaining voluntary commitments from major US companies (such as Amazon, Google, Meta, Microsoft and OpenAI) to engage in safe, secure, and trustworthy AI development, US President Joe Biden issued an executive order (EO) on the "Safe, Secure, and Trustworthy Development and Use of AI". In early February 2024, the White House announced that the tasked executive agencies had completed all 90-day actions mandated by this order.

Additional regulatory landscape considerations important to AI include export controls under International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR), as well as patentability considerations before the US Patent & Trademark Office. Further critical developments at the intersection with Intellectual Property include the various lawsuits alleging copyright infringement in the training of Large Language Models like Chat-GPT, etc.

With so much action around AI technologies development and regulation, it can be challenging to closely track and understand the implications of everything as it continues to evolve so dynamically. Nevertheless, this academic review will endeavor to provide an accurate snapshot of the current legal regimes and regulatory landscapes impacting AI and its use as a practical guide for AI developers and entrepreneurs.

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Mark, Ryan, and Cris welcome colleague Dan White of Moody's Analytics and Bill Glasgall, Senior Director, Public Finance at the Volcker Alliance, to discuss state and local government finances and whether it will be a tailwind or drag on the broader economy. Full Episode transcript. Follow Mark Zandi @MarkZandi, Ryan Sweet @RealTime_Econ and Cris deRitis @MiddleWayEcon for additional insight. William Glasgall is senior director, public finance at the Volcker Alliance, a New York-based nonprofit organization where he has supervised the publication of numerous working papers and studies, including four Truth and Integrity in State Budgeting reports. He is also the creator of the Special Briefing webcast series and podcast, co-produced with the University of Pennsylvania Institute for Urban Research, where he is a fellow. Be sure to check out Volcker Alliance’s new podcast “Special Briefing” hosted by William Glasgall available here: Apple Podcasts, Spotify, Google Podcasts,

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

In this podcast, Bill Schmarzo talks about the ingredients of successful data science practice, team, and executives. Bill shared his insights on what some leaders in the industries are doing and some challenges seen in the successful deployment. Bill shared his key take on ingredients for some of the successful hires. This podcast is great for growth mindset executives willing to learn about creating a successful data science practice.

Timeline: 0:29 Bill's journey. 5:05:00 Bill's current role. 7:04 Data science adoption challenges for businesses. 9:33 The good side of data science adoption. 11:22 How is data science changing business. 14:34 Strategies behind distributed IT. 18:35 Analysing the current amount of data. 21:50 Who should own the idea of data science? 24:34 The right background for a CDO. 25:52 Bias in IT. 29:35 Hacks to keep yourself bias-free. 31:58 Team vs. tool for putting together a good data-driven practice. 34:54 Value cycle in data science. 37:10 Maturity model. 39:17 Convincing culture heavy businesses to adopt data. 42:47 Keeping oneself sane during the technological disruption. 46:20 Hiring the right talent. 51:46 Ingredients of a good data science hire. 56:00 Bill's success mantra. 59:07 Bill's favorite reads. 1:00:36 Closing remarks.

Bill's Recommended Read: Moneyball: The Art of Winning an Unfair Game by Michael Lewis http://amzn.to/2FqBFg8 Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2tlZAvP

Podcast Link: https://futureofdata.org/schmarzo-dellemc-on-ingredients-of-healthy-datascience-practice-futureofdata-podcast/

Bill's BIO: Bill Schmarzo is the CTO for the Big Data Practice, where he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger, and is a frequent speaker on the use of Big Data and data science to power the organization's key business initiatives. He is a University of San Francisco School of Management Fellow, where he teaches the "Big Data MBA" course.

Bill has over three decades of experience in data warehousing, BI, and analytics. Bill authored EMC's Vision Workshop methodology that links an organization's strategic business initiatives with their supporting data and analytic requirements and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute's faculty as the head of the analytic applications curriculum.

Bill holds a master's degree in Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science, and Business Administration from Coe College.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy