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Most AI tools give you answers when you ask questions. Shane is fundamentally different. Shane asks YOU questions as he leads you through your performance analysis.

This isn't a one-shot Q&A session. It's a collaboration with an expert Oracle tuning professional. Shane proactively guides you through the diagnostic process, asking the right questions at the right time. Shane won't recommend a solution until he's confident he understands your situation enough to provide real value.

Shane knows OraPub's and Viscosity's proven performance methodologies—the three-circle analysis, Oracle time model integration, and OS-level system analysis—in a deep and intimate way. Shane has studied all my webinars, books, blogs, and Viscosity's performance-focused work. This means Shane understands real production Oracle system issues, not just generic database theory.

When Shane does recommend solutions, he explains why each one matters and why it will work for your specific situation. You can also pitch your own ideas—Shane will evaluate them and provide feedback that makes you a better problem-solver.

In this live webinar, I'll show you how to collaborate effectively with Shane to solve real Oracle performance problems. You'll learn practical techniques for working together—whether you're analyzing production AWR reports or tackling those intense, random, short-lived scenarios. You'll walk away knowing how to get the best results from Shane immediately.

If you've been curious how Shane is different or want to learn how to use it effectively, this is your chance.

Presented by Craig Shallahamer, Applied AI Scientist, Viscosity Founder, OraPub Oracle ACE Director. Having worked with Oracle technology since 1989, Craig Shallahamer is a leader in the fields of machine learning, artificial intelligence and Oracle database performance tuning. This event is co-hosted by the New York Oracle Users Group (www.nyoug.org) and Oracle Professional Services firm, Viscosity North America (www.viscosityna.com)

REGISTER HERE: https://viscosityna.com/how-to-collaborate-with-shane-ai-to-solve-real-oracle-performance-problems-nyoug

Bioinformatics with Python Cookbook provides a practical, hands-on approach to solving computational biology challenges with Python, enabling readers to analyze sequencing data, leverage AI for bioinformatics applications, and design robust computational pipelines. What this Book will help me do Perform comprehensive sequence analysis using Python libraries for refined data interpretation. Configure and run bioinformatics workflows on cloud environments for scalable solutions. Apply advanced data science practices to analyze and visualize bioinformatics data. Explore the integration of AI tools in processing multimodal biological datasets. Understand and utilize bioinformatics databases for research and development. Author(s) Shane Brubaker is an experienced computational biologist and software developer with a strong background in bioinformatics and Python programming. With years of experience in data analysis and software engineering, Shane has authored numerous solutions for real-world bioinformatics issues. He brings a practical, example-driven teaching approach, aimed at empowering readers to apply techniques effectively in their work. Who is it for? This book is suitable for bioinformatics professionals, data scientists, and software engineers with moderate experience seeking to expand their computational biology knowledge. Readers should have basic understanding of biology, programming, and cloud tools. By engaging with this book, learners can advance their skills in Python and bioinformatics to address complex biological data challenges effectively.

In this session, by Colleen Tyler, GM, Global Partner Marketing & GTM at Microsoft, and Shane Edmonds, Chief Product & Technology Officer at Structured, you’ll get a first look at the next generation of partner marketing technology—built to strip away the friction and put growth back at the center of your program. Think drag-and-drop ease, smarter insights, and the ability to engage the long tail without sacrificing the human touch.

Data quality and AI reliability are two sides of the same coin in today's technology landscape. Organizations rushing to implement AI solutions often discover that their underlying data infrastructure isn't prepared for these new demands. But what specific data quality controls are needed to support successful AI implementations? How do you monitor unstructured data that feeds into your AI systems? When hallucinations occur, is it really the model at fault, or is your data the true culprit? Understanding the relationship between data quality and AI performance is becoming essential knowledge for professionals looking to build trustworthy AI systems. Shane Murray is a seasoned data and analytics executive with extensive experience leading digital transformation and data strategy across global media and technology organizations. He currently serves as Senior Vice President of Digital Platform Analytics at Versant Media, where he oversees the development and optimization of analytics capabilities that drive audience engagement and business growth. In addition to his corporate leadership role, he is a founding member of InvestInData, an angel investor collective of data leaders supporting early-stage startups advancing innovation in data and AI. Prior to joining Versant Media, Shane spent over three years at Monte Carlo, where he helped shape AI product strategy and customer success initiatives as Field CTO. Earlier, he spent nearly a decade at The New York Times, culminating as SVP of Data & Insights, where he was instrumental in scaling the company’s data platforms and analytics functions during its digital transformation. His earlier career includes senior analytics roles at Accenture Interactive, Memetrics, and Woolcott Research. Based in New York, Shane continues to be an active voice in the data community, blending strategic vision with deep technical expertise to advance the role of data in modern business. In the episode, Richie and Shane explore AI disasters and success stories, the concept of being AI-ready, essential roles and skills for AI projects, data quality's impact on AI, and much more. Links Mentioned in the Show: Versant MediaConnect with ShaneCourse: Responsible AI PracticesRelated Episode: Scaling Data Quality in the Age of Generative AI with Barr Moses, CEO of Monte Carlo Data, Prukalpa Sankar, Cofounder at Atlan, and George Fraser, CEO at FivetranRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Presentation about NYPL's Andrew Heiskell Braille and Talking Book branch, covering free access to accessible Braille, audio, and magnified books, free peer-powered tech coaching, Braille ereaders, and tactile graphics creation and support for accessible materials.

As AI agents increasingly operate autonomously across networks, establishing robust identity and precise access controls is critical to fostering trust and responsible interaction.

This LFDT Belgium Meetup will explore the foundational challenges of recognizing and delegating AI agents securely, as well as enabling fine-grained data access and persistent agent memory through innovative wallet solutions.

Key questions include:

• How can agents be reliably identified and trusted across diverse environments?
• What delegation models ensure agents act appropriately on behalf of users?
• How can granular permissions enforce least-privilege data access?
• Where should agent-generated data be securely stored for interoperability and persistence?

19:00 - 19:10 Welcome & introduction by Howest Cyber3Lab

19:10 - 19:40 Agentic Wallets™: Enabling Fine-Grained and Persistent AI Data Access with Solid and MCP Geoff Pirie - Director of Product\, Inrupt Geoff is the Director of Product at Inrupt - the company co-founded by Sir Tim Berners Lee who invented the Worldwide Web. Geoff has a long history of enterprise software development and product management, having worked with IBM for 23 years prior to joining Inrupt.

19:40 - 20:20 Scaling the Agentic Web: New Challenges and Areas of Innovation Andor Kesselman - Founder\, DIF Labs As multi-agent systems move from theory into deployment, one of the most urgent challenges is establishing agentic identity - how agents are recognized\, authenticated\, and trusted across diverse networks. This session will examine the complexities of delegation (how agents act on behalf of humans or other agents)\, the role of hardware attestations in anchoring trust\, and emerging patterns of human–agent interaction. We will also discuss how agents differ fundamentally from broader AI systems and frameworks to think about them. Drawing on evolving work at the Decentralized Identity Foundation (DIF) and MIT’s Project NANDA, we will highlight emerging frameworks designed to scale the agentic web responsibly.

Andor Kesselman is a seasoned CTO and recognized leader in Decentralized Identity, with a deep focus on multi-agent systems and governance. He has been researching agent architectures since 2018, including early work in DecPOMDP that anticipated today’s advances. His startup, AgentOverlay, focuses on bridging multi-agent theory with years of work in decentralized identity. He helps lead the Bay Area chapter of Project NANDA and chairs the Technical Steering Committee at the Decentralized Identity Foundation (DIF), where he is also launching the Trusted AI Agents Working Group. His work centers on the emerging challenges of multi-agent governance-from identity and trust to policy enforcement-critical issues that must be solved to responsibly scale the agentic web.

20:20 - 20:40 Moderated Q&A Shane Deconinck - Web3 Lead\, Howest Cyber3Lab Andor Kesselman - Founder\, DIF Labs

20:40 - 20:45 Closing Remarks

\~\~\~\~\~

Join us to learn how decentralized identity, delegation, and controlled access can solve the challenges shaping the next generation of trusted AI agents.

As AI agents increasingly operate autonomously across networks, establishing robust identity and precise access controls is critical to fostering trust and responsible interaction.

This LFDT Belgium Meetup will explore the foundational challenges of recognizing and delegating AI agents securely, as well as enabling fine-grained data access and persistent agent memory through innovative wallet solutions.

Key questions include:

• How can agents be reliably identified and trusted across diverse environments?
• What delegation models ensure agents act appropriately on behalf of users?
• How can granular permissions enforce least-privilege data access?
• Where should agent-generated data be securely stored for interoperability and persistence?

19:00 - 19:10 Welcome & introduction by Howest Cyber3Lab

19:10 - 19:40 Agentic Wallets™: Enabling Fine-Grained and Persistent AI Data Access with Solid and MCP Geoff Pirie - Director of Product\, Inrupt Geoff is the Director of Product at Inrupt - the company co-founded by Sir Tim Berners Lee who invented the Worldwide Web. Geoff has a long history of enterprise software development and product management, having worked with IBM for 23 years prior to joining Inrupt.

19:40 - 20:20 Scaling the Agentic Web: New Challenges and Areas of Innovation Andor Kesselman - Founder\, DIF Labs As multi-agent systems move from theory into deployment, one of the most urgent challenges is establishing agentic identity - how agents are recognized\, authenticated\, and trusted across diverse networks. This session will examine the complexities of delegation (how agents act on behalf of humans or other agents)\, the role of hardware attestations in anchoring trust\, and emerging patterns of human–agent interaction. We will also discuss how agents differ fundamentally from broader AI systems and frameworks to think about them. Drawing on evolving work at the Decentralized Identity Foundation (DIF) and MIT’s Project NANDA, we will highlight emerging frameworks designed to scale the agentic web responsibly.

Andor Kesselman is a seasoned CTO and recognized leader in Decentralized Identity, with a deep focus on multi-agent systems and governance. He has been researching agent architectures since 2018, including early work in DecPOMDP that anticipated today’s advances. His startup, AgentOverlay, focuses on bridging multi-agent theory with years of work in decentralized identity. He helps lead the Bay Area chapter of Project NANDA and chairs the Technical Steering Committee at the Decentralized Identity Foundation (DIF), where he is also launching the Trusted AI Agents Working Group. His work centers on the emerging challenges of multi-agent governance-from identity and trust to policy enforcement-critical issues that must be solved to responsibly scale the agentic web.

20:20 - 20:40 Moderated Q&A Shane Deconinck - Web3 Lead\, Howest Cyber3Lab Andor Kesselman - Founder\, DIF Labs

20:40 - 20:45 Closing Remarks

\~\~\~\~\~

Join us to learn how decentralized identity, delegation, and controlled access can solve the challenges shaping the next generation of trusted AI agents.

As AI agents increasingly operate autonomously across networks, establishing robust identity and precise access controls is critical to fostering trust and responsible interaction.

This LFDT Belgium Meetup will explore the foundational challenges of recognizing and delegating AI agents securely, as well as enabling fine-grained data access and persistent agent memory through innovative wallet solutions.

Key questions include:

• How can agents be reliably identified and trusted across diverse environments?
• What delegation models ensure agents act appropriately on behalf of users?
• How can granular permissions enforce least-privilege data access?
• Where should agent-generated data be securely stored for interoperability and persistence?

19:00 - 19:10 Welcome & introduction by Howest Cyber3Lab

19:10 - 19:40 Agentic Wallets™: Enabling Fine-Grained and Persistent AI Data Access with Solid and MCP Geoff Pirie - Director of Product\, Inrupt Geoff is the Director of Product at Inrupt - the company co-founded by Sir Tim Berners Lee who invented the Worldwide Web. Geoff has a long history of enterprise software development and product management, having worked with IBM for 23 years prior to joining Inrupt.

19:40 - 20:20 Scaling the Agentic Web: New Challenges and Areas of Innovation Andor Kesselman - Founder\, DIF Labs As multi-agent systems move from theory into deployment, one of the most urgent challenges is establishing agentic identity - how agents are recognized\, authenticated\, and trusted across diverse networks. This session will examine the complexities of delegation (how agents act on behalf of humans or other agents)\, the role of hardware attestations in anchoring trust\, and emerging patterns of human–agent interaction. We will also discuss how agents differ fundamentally from broader AI systems and frameworks to think about them. Drawing on evolving work at the Decentralized Identity Foundation (DIF) and MIT’s Project NANDA, we will highlight emerging frameworks designed to scale the agentic web responsibly.

Andor Kesselman is a seasoned CTO and recognized leader in Decentralized Identity, with a deep focus on multi-agent systems and governance. He has been researching agent architectures since 2018, including early work in DecPOMDP that anticipated today’s advances. His startup, AgentOverlay, focuses on bridging multi-agent theory with years of work in decentralized identity. He helps lead the Bay Area chapter of Project NANDA and chairs the Technical Steering Committee at the Decentralized Identity Foundation (DIF), where he is also launching the Trusted AI Agents Working Group. His work centers on the emerging challenges of multi-agent governance-from identity and trust to policy enforcement-critical issues that must be solved to responsibly scale the agentic web.

20:20 - 20:40 Moderated Q&A Shane Deconinck - Web3 Lead\, Howest Cyber3Lab Andor Kesselman - Founder\, DIF Labs

20:40 - 20:45 Closing Remarks

\~\~\~\~\~

Join us to learn how decentralized identity, delegation, and controlled access can solve the challenges shaping the next generation of trusted AI agents.

As AI agents increasingly operate autonomously across networks, establishing robust identity and precise access controls is critical to fostering trust and responsible interaction.

This LFDT Belgium Meetup will explore the foundational challenges of recognizing and delegating AI agents securely, as well as enabling fine-grained data access and persistent agent memory through innovative wallet solutions.

Key questions include:

• How can agents be reliably identified and trusted across diverse environments?
• What delegation models ensure agents act appropriately on behalf of users?
• How can granular permissions enforce least-privilege data access?
• Where should agent-generated data be securely stored for interoperability and persistence?

19:00 - 19:10 Welcome & introduction by Howest Cyber3Lab

19:10 - 19:40 Agentic Wallets™: Enabling Fine-Grained and Persistent AI Data Access with Solid and MCP Geoff Pirie - Director of Product\, Inrupt Geoff is the Director of Product at Inrupt - the company co-founded by Sir Tim Berners Lee who invented the Worldwide Web. Geoff has a long history of enterprise software development and product management, having worked with IBM for 23 years prior to joining Inrupt.

19:40 - 20:20 Scaling the Agentic Web: New Challenges and Areas of Innovation Andor Kesselman - Founder\, DIF Labs As multi-agent systems move from theory into deployment, one of the most urgent challenges is establishing agentic identity - how agents are recognized\, authenticated\, and trusted across diverse networks. This session will examine the complexities of delegation (how agents act on behalf of humans or other agents)\, the role of hardware attestations in anchoring trust\, and emerging patterns of human–agent interaction. We will also discuss how agents differ fundamentally from broader AI systems and frameworks to think about them. Drawing on evolving work at the Decentralized Identity Foundation (DIF) and MIT’s Project NANDA, we will highlight emerging frameworks designed to scale the agentic web responsibly.

Andor Kesselman is a seasoned CTO and recognized leader in Decentralized Identity, with a deep focus on multi-agent systems and governance. He has been researching agent architectures since 2018, including early work in DecPOMDP that anticipated today’s advances. His startup, AgentOverlay, focuses on bridging multi-agent theory with years of work in decentralized identity. He helps lead the Bay Area chapter of Project NANDA and chairs the Technical Steering Committee at the Decentralized Identity Foundation (DIF), where he is also launching the Trusted AI Agents Working Group. His work centers on the emerging challenges of multi-agent governance-from identity and trust to policy enforcement-critical issues that must be solved to responsibly scale the agentic web.

20:20 - 20:40 Moderated Q&A Shane Deconinck - Web3 Lead\, Howest Cyber3Lab Andor Kesselman - Founder\, DIF Labs

20:40 - 20:45 Closing Remarks

\~\~\~\~\~

Join us to learn how decentralized identity, delegation, and controlled access can solve the challenges shaping the next generation of trusted AI agents.

Your model is trained. Your pilot is live. Your data looks AI-ready. But for most teams, the toughest part of building successful AI starts after deployment. In this talk, Shane Murray and Ethan Post share lessons from the development of Monte Carlo’s Troubleshooting Agent – an AI assistant that helps users diagnose and fix data issues in production. They’ll unpack what it really takes to build and operate trustworthy AI systems in the real world, including: The Illusion of Done – Why deployment is just the beginning, and what breaks in production; Lessons from the Field – A behind-the-scenes look at the architecture, integration, and user experience of Monte Carlo’s agent; Operationalizing Reliability – How to evaluate AI performance, build the right team, and close the loop between users and model. Whether you're scaling RAG pipelines or running LLMs in production, you’ll leave with a playbook for building data and AI systems you—and your users—can trust.