Top tech companies have utilized graphs to power everything, from fraud detection systems to recommendation engines, and they are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used to find hidden insights in data that enhance decision making, with context as king. Additionally, we will explore how Knowledge Graphs can significantly augment LLMs, particularly in the context of Retrieval Augmented Generation (RAG) systems.

With new pressures coming from AI, CDAOs must be agile in implementing and enabling business innovation. But, with quick adaptation, inevitably comes stress on traditional D&A delivery processes and practices. Join this interactive session to lean how to: clarify strategies to support business innovation, design adaptable and scalable delivery models and collaborate with business units to ensure value of D&A capabilities and services.

This comprehensive guide book equips you with the knowledge and confidence needed to prep for the exam and thrive as a Power Platform Solution Architect. The book starts with a foundation for successful solution architecture, emphasizing essential skills such as requirements gathering, governance, and security. You will learn to navigate customer discovery, translate business needs into technical requirements, and design solutions that address both functional and non-functional needs. The second part of the book delves into the Microsoft Power Platform ecosystem, offering an in-depth look at its core components—Power Apps, Power Automate, Power BI, Microsoft Copilot, and Robotic Process Automation (RPA). Detailed insights into data modeling, security strategies, and AI integration will guide you in building scalable, secure solutions. Coverage of application life cycle management, which empowers solution architects to design, implement, and deploy Power Platform solutions effectively, is discussed next. You will then go through real-world scenarios, giving you a practical understanding of the challenges and considerations in managing Power Platform projects within a business context. The book concludes with strategies for continuous learning and resources for professional development, including practice questions to assess knowledge and readiness for the PL-600 exam. After reading the book, you will be ready to take the exam and become a successful Power Platform Solution Architect. What You Will Learn Understand the Solution Architect's role, responsibilities, and strategic approaches to successfully navigate projects Master the basics of Power Platform Solution Architecture Understand governance, security, and integration concepts in real-world scenarios Design and deploy effective business solutions using Power Platform components Gain the skills necessary to prep for the PL-600 certification exam Who This Book Is For Professionals pursuing Microsoft PL-600 Solution Architect certification and IT consultants and developers transitioning to solution architect roles

Adoption and diffusion of enterprise agentic AI systems that reliably generate business value, will be inextricably linked with the ability to provide contextually relevant governed data and metadata to those systems. This session will demonstrate how the Ab Initio Data Platform’s unique approach to context and governed metadata, combined with state of art AI capabilities including MCP, agentic planning and multi-agent workflows, accelerates the application of trusted, traceable, and well governed AI capabilities to high value use cases for the data driven enterprise.

Join us to explore how leading companies like Xero are harnessing the power of Generative AI to deliver hyper-personalized, intelligent experiences that drive real results. From cutting case volumes by 20% to improving search precision and accelerating self-service, you’ll see how these innovators are using relevance-augmented GenAI to meet people in the moment—with the right answer.

In this episode, we ask: can a heartless worm model arrhythmia? Turns out — yes. Using Caenorhabditis elegans as a stand-in for cardiac muscle, researchers tested the effects of polypyrrole nanoparticles (Ppy NPs) on pharyngeal pumping rhythms, revealing fascinating insights into how bioengineered materials might impact human-like tissues.

We explore:

How the worm pharynx mimics cardiac function Why mutants with sluggish pumps were rescued by Ppy NPs Long-lasting effects, even after the nanoparticles were expelled Calcium imaging showing altered Ca²⁺ dynamics in real time The power of C. elegans for safe-by-design nanomedicine screening

📖 Based on the research article: “Arrhythmic Effects Evaluated on Caenorhabditis elegans: The Case of Polypyrrole Nanoparticles” Sumithra Yasaswini Srinivasan, Pilar Alvarez Illera, Dmytro Kukhtar, et al. Published in ACS Nano (2023). 🔗 https://doi.org/10.1021/acsnano.3c05245

🎧 Subscribe to the WoRM Podcast for more science where whole organisms meet high-tech innovation!

This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch.

📩 More info: 🔗 ⁠⁠www.veerenchauhan.com⁠⁠ 📧 [email protected]

Join award-winning broadcaster and national comedy champion, Adam Spencer to learn how technologies like AI, Cyber Security and ChatGPT are disrupting business and how you can win in this world. In this thought-provoking and funny presentation, Adam will share:
• How Artificial Intelligence will impact every industry and how to harness its potential
• The crucial role every worker plays in your cyber security
• The business potential of holding a supercomputer in your hands
• How to keep up if the pace of digital disruption feels overwhelming

With hundreds of new AI technologies and methodologies emerging daily, having a robust and holistic Proof of Concept (POC) framework to identify what truly adds value to a product has never been more critical. POC projects are often underestimated, yet they play a pivotal role in the success of AI initiatives and features. This talk highlights the importance of bringing rigor back to AI POCs, offering a structured, end-to-end approach to ensure their effectiveness. It also examines how AI feature POCs intersect with traditional software and design processes, clarifying AI’s role within the broader product development lifecycle. We’ll explore common pitfalls and strategies to address them. You’ll learn how to: 1. Define scope: Set clear objectives, boundaries, and success metrics while involving the right stakeholders from the start. 2. Iterate effectively: Track experiments properly, build in a flexible and repeatable way, and be ready to pivot or start over when necessary. 3. Facilitate feedback loops: Present results effectively, collect actionable feedback, and guide discussions to improve the solution. By applying these principles, teams can develop AI POCs that not only prove value but also lay the groundwork for scalable, production-ready solutions.

Join the JPMorgan Chase Wealth Management RegTech team as they showcase their innovative use of Snowflake to integrate data, analytics and AI into a unified platform for all lines of defense, including controls, risk and compliance. Discover their plans to leverage LLM capabilities through Cortex AI to deliver cutting-edge risk and regulatory insights.

Learn best practices that enhance efficiency by 50%, strengthen compliance, mitigate risks and achieve substantial cost savings. Gain valuable insights into proactive risk management and staying ahead of industry trends and challenges. Don't miss this opportunity to explore the future of data-driven compliance and control.

The Snowflake AI Data Cloud provides engineers and data scientists with a platform that makes development fun by being able to focus on the code and not the infrastructure. But how? Join this keynote to take a deep dive into technical demos of Snowflake Cortex, Streamlit, Snowflake Native Apps and other AI features. During the keynote, you will hear from technical experts, including Snowflake customers, that will share best practices to help you design and implement your own AI apps and services.

To gain trust in Generative AI applications, a robust observability framework is needed. In this session, we will demonstrate how users can instrument an AI application with Trulens, an open source observability framework, to trace each component of their application and use LLM-as-a-Judge evaluations to identify and improve points of failure. Attendees will learn about best practices in enabling observability in their AI workflows and common feedback functions used for evaluation. We will also explore using the observability framework as a mechanism to compare application versions to determine which version is best fit for production use.

Generative AI is taking the world by storm. What happens when it meets its structured, fact-driven soulmate, the relational knowledge graph? We explore how combining GenAI with knowledge graphs creates a dynamic duo: AI that's not just creative, but also accurate, explainable, and deeply informed. We'll dive into real-world use cases, from chatbots to BI. Expect insights, practical applications, and a few AI-generated jokes (with fact-checking by our knowledge graph, of course!)

Join this session to learn how Coinbase builds end-to-end ML workflows on top of Snowflake’s platform for optimal data security, governance and price performance. Using features such as Snowflake Feature Store and Snowflake Model Registry, Coinbase now automates batch and online inference on predictive ML models to quickly and accurately unban users who were initially incorrectly flagged as suspected fraud or bots, resulting in an improved user experience and increased revenue.

Analytical apps today must turbocharge digital experiences with embedded insights at every customer touchpoint and accelerate value realization. Hear from PepsiCo on how they have modernized their data and analytics strategy to enable a data-driven culture, drive business agility, optimize operations and delight customers. Learn how they leverage ThoughtSpot’s natural language search and embedded analytics to deliver true self-service analytics and actionable intelligence at every level.

Join Snowflake’s Head of AI Products for a tour of Snowflake’s enterprise-AI vision, recent innovations and roadmap. You’ll see how Snowflake Intelligence, automatic Semantic Model generation and specialized AI tools work together inside Snowflake’s secure platform, turning multimodal data into transformational impact for enterprise customers without infrastructure headaches. Walk away knowing how these integrated capabilities give business users, data analysts and engineers the tools, speed and governance required to deploy AI into production.

Migrating a legacy data warehouse to Snowflake should be a predictable task. However, after participating in numerous projects, common failure patterns have emerged. In this session, we’ll explore typical pitfalls when moving to the Snowflake AI Data Cloud and offer recommendations for avoiding them. We’ll cover mistakes at every stage of the process, from technical details to end-user involvement and everything in between — code conversion (using SnowConvert!), data migration, deployment, optimization, testing and project management.

Unlock the full potential of generative AI in Snowflake with hands-on prompt engineering! In this live demo, we'll build and refine prompts from scratch, showcasing how to harness LLM-powered features like Cortex Analyst, Document AI and Cortex functions. Attendees will see real-time development, practical use cases and best practices to get the most out of Snowflake’s AI capabilities — whether for extracting insights, automating workflows or enhancing data pipelines with AI-driven intelligence.

Hear from Snowflake CEO, Sridhar Ramaswamy, as he discusses the impact AI has had across every organization and how the Snowflake AI Data Cloud is helping to accelerate enterprise AI. Then, in a CEO fireside conversation, Sridhar together with NVIDIA Founder and CEO, Jensen Huang, will discuss what the future holds in this new AI era. Finally, Snowflake CMO, Denise Persson, will be joined by industry leaders to discuss their organizations' data initiatives and the successes and challenges of driving impact with data and AI.