talk-data.com

Data clean rooms are rapidly evolving from privacy-preserving data collaboration environments into powerful engines for AI- and ML-driven insights. This session will dive into the technical architecture and product capabilities enabling clean rooms to support advanced use cases across the marketing lifecycle — from identity resolution and lookalike modeling to cross-channel attribution and real-time optimization. Beyond advertising, we’ll examine how these innovations are scaling into verticals like retail and healthcare, where secure data collaboration is unlocking next-gen personalization, predictive analytics and clinical insights.

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03BvmlP0

The AI landscape is exploding, with agents poised to revolutionize industries. But there’s a critical missing piece hindering their true potential: a chaotic tangle of uncoordinated actions, opaque decision-making, and frustrating bottlenecks. Enter MCP (Modular Control Plane) – the groundbreaking solution you’ve been waiting for!

This isn’t just another framework; MCP is the dynamic brain that brings order to the AI agent revolution. Imagine seamless orchestration of diverse AI models, lightning-fast task execution, and crystal-clear visibility into every decision. MCP delivers just that, empowering your AI agents to move beyond simple tasks and tackle complex, real-world challenges with unprecedented efficiency and reliability.

Get ready to supercharge your AI workflows and unleash a new era of intelligent automation – because with MCP, the future of AI is now!

Instructor: Sheamus McGovern, Founder of ODSC, Head of AI and VP - Cortical Ventures

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

You more ODSC interviews, webinars, live trainings and more here - https://aiplus.training/

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03BvmlP0

The AI landscape is exploding, with agents poised to revolutionize industries. But there’s a critical missing piece hindering their true potential: a chaotic tangle of uncoordinated actions, opaque decision-making, and frustrating bottlenecks. Enter MCP (Modular Control Plane) – the groundbreaking solution you’ve been waiting for!

This isn’t just another framework; MCP is the dynamic brain that brings order to the AI agent revolution. Imagine seamless orchestration of diverse AI models, lightning-fast task execution, and crystal-clear visibility into every decision. MCP delivers just that, empowering your AI agents to move beyond simple tasks and tackle complex, real-world challenges with unprecedented efficiency and reliability.

Get ready to supercharge your AI workflows and unleash a new era of intelligent automation – because with MCP, the future of AI is now!

Instructor: Sheamus McGovern, Founder of ODSC, Head of AI and VP - Cortical Ventures

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

You more ODSC interviews, webinars, live trainings and more here - https://aiplus.training/

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03BvmlP0

The AI landscape is exploding, with agents poised to revolutionize industries. But there’s a critical missing piece hindering their true potential: a chaotic tangle of uncoordinated actions, opaque decision-making, and frustrating bottlenecks. Enter MCP (Modular Control Plane) – the groundbreaking solution you’ve been waiting for!

This isn’t just another framework; MCP is the dynamic brain that brings order to the AI agent revolution. Imagine seamless orchestration of diverse AI models, lightning-fast task execution, and crystal-clear visibility into every decision. MCP delivers just that, empowering your AI agents to move beyond simple tasks and tackle complex, real-world challenges with unprecedented efficiency and reliability.

Get ready to supercharge your AI workflows and unleash a new era of intelligent automation – because with MCP, the future of AI is now!

Instructor: Sheamus McGovern, Founder of ODSC, Head of AI and VP - Cortical Ventures

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

You more ODSC interviews, webinars, live trainings and more here - https://aiplus.training/

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03BvmlP0

The AI landscape is exploding, with agents poised to revolutionize industries. But there’s a critical missing piece hindering their true potential: a chaotic tangle of uncoordinated actions, opaque decision-making, and frustrating bottlenecks. Enter MCP (Modular Control Plane) – the groundbreaking solution you’ve been waiting for!

This isn’t just another framework; MCP is the dynamic brain that brings order to the AI agent revolution. Imagine seamless orchestration of diverse AI models, lightning-fast task execution, and crystal-clear visibility into every decision. MCP delivers just that, empowering your AI agents to move beyond simple tasks and tackle complex, real-world challenges with unprecedented efficiency and reliability.

Get ready to supercharge your AI workflows and unleash a new era of intelligent automation – because with MCP, the future of AI is now!

Instructor: Sheamus McGovern, Founder of ODSC, Head of AI and VP - Cortical Ventures

Sheamus McGovern is the founder of ODSC (The Open Data Science Conference). He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

You more ODSC interviews, webinars, live trainings and more here - https://aiplus.training/

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q038cQBy0 • Code of conduct: https://odsc.com/code-of-conduct/

Bryan McCann, You.com’s co-founder and CTO, shares his journey from studying philosophy and meaning to the Stanford Computer Science Department working on groundbreaking AI research alongside Richard Socher. Right now, AI is reshaping everything we hold dear — our jobs, creativity, and identities. It’s also our greatest source of inspiration. The Age of AI is simultaneously a Renaissance, Enlightenment, Industrial Revolution and likely source of humanity’s greatest existential crisis. To surmount this, Bryan will discuss how he uses AI responses as new starting points rather than answers, building teams like neural networks optimized for learning and how the answer to our meaning crisis may be for humans to be more like AI. Exploring AI’s impact on politics, economics, healthcare, education and culture, Bryan asserts that we must all take part in authoring humanity’s new story — AI can inspire us to become something new, rather than merely replace what we are now.

There's often a debate in technology ethics on whether technology is neutral or not. On one hand, critics have rightfully pointed out examples of technology exacerbating the climate crisis, amplifying bias as we've seen in our recent episode with Dr. Joy Buolamwini, or contributing to the spread of misinformation and disinformation. Conversely, we cannot deny the many wonderful things technology has given us, from better healthcare outcomes, to the ability to communicate wherever we are in the world, or to elevate the quality of life of everyone on the planet. It is this duality, that today's guest, Marga Hoek, points to as to why technology is neutral, and why it is in our hands to use it for good. Marga Hoek is a true visionary on sustainable business, capital, and technology and a successful business leader. As a three-time CEO, Board Member, Chair, and Founder of Business for Good, she applies her vision on how business can be a true force for good in practice. As a bestselling and multi-award-winning author, member of Thinkers50, and one of the most in-demand speakers on sustainable business and ESG investment, Marga Hoek has inspired many companies and leaders worldwide. She is also appreciated as a global voice for G20 and G7 Intergovernmental forums, international climate meetings and COPs, and many other prestigious global conferences.  In the episode, Adel and Marga explore the fourth industrial revolution and the eight technologies that combine to build it, the ethical application of technology and how it can be the biggest lever to combating climate change and building a sustainable society, how data and AI enable real-time information sharing leading to better early warning systems related to the environment, use cases of tech for good initiatives, how collaboration can bridge the gap in investment for sustainable business ventures and a lot more.  Links Mentioned In the Show: Tech for GoodAzure FarmBeatsCapgemini in the Mojave DesertReDeTec 3D PrintingFramlab 3D Printed Homes for the Unsheltered

Last year, NYC.rb members pondered, "Is Ruby on its way to obsolescence?" This year, the burning question is, "When will AI take over as programmers?"

Generative AI has infiltrated all aspects of software development - from coding suggestions in our IDEs to auto-generated tests. Will this AI revolution render human programmers obsolete? Or can it actually elevate the programming experience? Let's delve into one of Ruby's key philosophies: Developer Happiness.

Can programmers and tech leaders harness the power of Generative AI to enhance Developer Happiness? Is this cutting-edge technology already contributing to greater satisfaction among developers? Or is it instigating a decline in Developer Happiness?

Join us for an insightful panel discussion featuring a diverse array of industry leaders as we dive deep into the intersection of Generative AI and Developer Happiness.

Panelist Biographies

• Andrew Berkowitz is an Engineering Leader with more than a decade of experience helping others succeed, and helping computers succeed at doing what he wants. He has an eclectic set of experiences solving problems in mobile apps, robotics (both empathetic, and violent), teaching, healthcare, biotech, and HR. He has not yet walked more than 46 miles in one day, but with ChatGPT anything is possible.
• Manuel Odendahl's passion for programming began at the young age of 6. He started tinkering with languages ranging from assembly to Common Lisp as a teenager. Although he has a soft spot for Lisp, over the years Manuel has embraced practical languages like PHP and Go that get the job done in his day-to-day work. Manuel feels most at home building backends and embedded systems, but he has explored diverse fields including quantum cryptography, 3D printing, and music tech. He has a special fondness for ecommerce, logistics, and accounting. Since GitHub Copilot became available, Manuel has been fascinated with large language models and believes they directly tap into developers' creativity and increase developer happiness. You can contact him at: https://hachyderm.io/@mnl (mastodon) - https://the.scapegoat.dev/ (blog) - https://github.com/wesen (github)
• Eitan is a Software Engineer with a track record of solving deep technical problems for web scale systems. He prides himself on the ability to apply computer science fundamentals to business problems.
• Andrei has been a software engineering professional for 13 years. Among many others he’s been fortunate to make his impact at Spree Commerce (Acquired by First Data), WeddingWire (merged with The Knot), FiscalNote (IPO), National Public Radio, and USA Today. He currently runs a software dev firm, and serves as an Architect/Engineering Manager/Fractional CTO on the client projects. Consumed by the AI wave this year, Andrei pondered what the future holds for Ruby in the world of ever-growing AI/ML needs. Having just completed a massive client project building a keyword search with Elasticsearch, Andrei dove into the current landscape of semantic search capabilities and the vector search databases. This led him to building Langchain.rb, an “original Langchain”-inspired open source library for building LLM-powered applications. In his free time he enjoys playing tennis and going on long runs while listening to podcasts.
• TBA

Agenda (all in Eastern Time zone)

• 5:30pm Meeting start, welcome
• 5:40pm First time attendees introductions, ice breaker
• 6:00pm Panel start
• 7:00pm Jobs & Hiring Announcements

Data-driven techniques have improved decision-making processes for people in industries such as finance and real estate. Yet, despite promising solutions that data analytics and artificial intelligence/machine learning (ML) tools can bring to healthcare, the industry remains largely unconvinced. In this O’Reilly report, you’ll explore the potential of—and impediments to—widespread adoption of AI and ML in the medical field. You’ll also learn how extensive government regulation and resistance from the medical community have so far stymied full-scale acceptance of sophisticated data analytics in healthcare. Through interviews with several professionals working at the intersection of medicine and data science, author Mike Barlow examines five areas where the application of AI/ML strategies can spur a beneficial revolution in healthcare: Identifying risks and interventions for healthcare management of entire populations Closing gaps in care by designing plans for individual patients Supporting customized self-care treatment plans and monitoring patient health in real time Optimizing healthcare processes through data analysis to improve care and reduce costs Helping doctors and patients choose proper medications, dosages, and promising surgical options