Open||Source||Data

• How to Empower Non-Technical Teams with Data Insights | Suzanne El-Moursi

  Learn how BrightHive's AI-powered platform is democratizing data insights, making them accessible to non-technical teams across organizations. Suzanne El-Moursi discusses the importance of data fluency and how BrightHive is helping businesses harness the power of their data.Timestamps00:00:00 -  Introduction and Background00:02:30 - Journey to BrightHive and open source00:06:00 - The evolution of AI and BrightHive's approach00:14:00 - The data problem and the role of AI agents00:22:00 - Building BrightBot with open source frameworks00:26:00 - The future of AI agents and open source00:30:00 - People’s reaction to DeepSeek 00:34:00 - The future of work and AI00:40:00- AI in education and personal growth00:42:00 - Suzanne’s legacy 00:48:00 -Recap and takeaways with producer Leo GodoyQuotesCharna Parkey "Every single innovation comes out of some form of restriction or need. (...) Don't come and say, “oh, what is this? This is terrible”. I heard all kinds of responses to my excitement and to my belief."Suzanne El-Moursi"So if 97% of an organization is data consumers, there are strategists, the marketing analysts, the customer success associates, the managers all across the enterprise, who need to understand the insights in the company's data, in their functions, in their units, so that they can make the next right step for the customer and for their plan."

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• Open Source AI and Copyright: Building Ethical Models | Kent Keirsey

  Kicking off Open Source Data Season 7, Charna Parkey welcomes the CEO and Founder of Invoke, Kent Keirsey to discuss his thoughts on licensing, copyright in generative AI, and the role of communities in building ethical, free-to-use technologies that can democratize technology and inspire global innovation.QuotesKent Keirsey "When we look at open source models, if you just release the weights, and you don't really release information on how the data set was captioned, for example, or how you construct the data set, if you don't really know how it got to the artifact that was released, as a user, you do not understand how it works."Charna Parkey But there's still a lot of claims by big tech right now about how anything on the internet should be fair use for training, even if, you know, it might have its own kind of copyrightTimestamps[00:02:00] - Kent Keirsey on his journey to open source[00:06:00] - Kent Keirsey on the Open Model Initiative (OMI)[00:08:00] -What makes a model truly open source[00:12:00] - The legal landscape of AI and copyright[00:14:00] - Kent Keirsey on the ethical implications of AI training data fair and use and AI development[00:26:00] Creativity, AI tools, personal AI models and recommendation algorithms:[00:32:00] - Kent Keirsey on TikTok and cultural clash:[00:38:00] - AI, self-reflection and a decision-making tool[00:42:00] - The Bria AI partnership[00:52:00] - The future of creativity, AI and Robotics:[01:00:00] - Final thoughts with producer Leo GodoyConnect with Kent KeirseyConnect with Charna Parkey

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• Building Trust in AI: From Open Source to Global Impact with host, Charna Parkey

  Join Charna Parkey as she recaps a transformative year in AI, exploring the delicate balance between innovation and ethics. From open source communities to global regulations, discover how trust, diversity, and collaboration are shaping the future of technology.

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• AI Regulations in Financial Services with Vinay Kumar

  Vinay Kumar discusses the transformation of AI in banking and financial services, addressing challenges and solutions with regulatory compliance and model explainability while addressing the stringent requirements in the financial industry.Episode QuotesVinay Kumar"I always believe in this: you don't need to solve a very large problem. Maybe it will take a lot of time to do that. A lot of resources to do that but something small, which you can have an opportunity to solve that could be very big or a fundamental for quite a bit is fantastic. Think of a scenario where your small fundamental idea is a base for another small fundamental idea for someone else." Charna ParkeyWe also want to ground it a little bit in impact we've been seeing. And I think in the financial, banking, insurance industries it's not, I would say, an even distribution of advancement. Different countries have different regulations and different appetites for risk."Timestamps- [00:00:00] Introduction by Charna Parkey.- [00:01:57] Vinay Kumar begins talking about his journey.- [00:05:27] Discussion on building a search engine for STEM researchers.- [00:07:06] Challenges with early deep learning.- [00:09:55] Conversation shifts to ML observability.- [00:17:06] Discussion on simplifying verticalized AI.- [00:22:30] Impact of large language models (LLMs) on AI.- [00:30:58] Comparison of autonomous cars with AI regulation.- [00:37:58] Vinay mentions his science fiction novels.- [00:42:19] Conversation summary with Producer Leo Godoy.

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• The importance and the Challenges & Solutions of AI Literacy with Brian Magerko

  QuotesBrian Magerko“We're really trying to show that we could co-create experiences with AI technology that augmented our experience rather than served as something to replace us in creative act”.“For every project like [LuminAI], there's a thousand companies out there just trying to do their best to get our money... That's an uncomfortable place to be in for someone who has worked in AI for decades”.“I had no idea what was going to happen kind of in the future. When we started EarSketch... we were advised by a couple of colleagues to not do it. And here we are, having engaged over a million and a half learners globally”.Charna Parkey"I remember the first robot that I built. It was part of the first robotic systems... and watching these machines work with each other was just crazy."“If you're building a product and your goal is to engage underrepresented groups, it is on you to make sure that you're educating the folks in a way that you're trying to reach.”Episode timestamps(01:11) Brian Magerko's Journey into AI and Robotics (05:00) LuminAI and Human-Machine Collaboration in Dance(09:00) Challenges of AI Literacy and Public Perception(17:32) Explainable AI and Accountability (20:00) The Future of AI and Its Impact on Human Interaction (22:10) EarSketch and learning: computing as a meaningful concept (27:18) The need for interdisciplinary collaboration to ensure AI developments are beneficial for society as a whole.(30:02) Brian Magerko's next reshape of the future, better understanding models of collaboration and improvisation between people and computers(35:51) Brian Magerko's advice to researchers based on his own identity and experiences(44:20) Projects and updates related to EarSketch and LuminAI’s improvisation model.(46:24) Backstage with Executive Producer Leo Godoy

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