Most AI Agent projects stall before reaching production. This session shares lessons from real organisations in manufacturing and retail that have deployed operational Agents using live data, clear ownership, and trusted outputs. It focuses on the practical challenges, unexpected blockers, and what it takes to turn ideas into action.

Join us to hear from Adam Ghetti (Co-Founder at Adapter), Arvind Jain (Co-Founder and CEO at Glean), Alex Mashrabov (Co-Founder and CEO at Higgsfield AI) and Cody Coleman (Co-Founder and CEO at Coactive AI) who are leading the application of Generative AI in the enterprise and scaled consumer world. They will share how they’re using Natural Language to solve some of the biggest hurdles in the day-to-day lives of consumers and enterprises. Come learn how they foresee the evolution of Natural Language in the near term and how General AI is going to catalyze the answers to many problems that remain yet to be solved.

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Hear stories from Crystal Huang (General Partner at GV) and Bruno Aziza (Partner at CapitalG) about how disruptive Generative AI startups convinced them to invest over $100M in funding and what unrealized value their investments are unlocking.

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In this session, Myle Ott, the Founding Researcher at Character.AI, will talk about how Character.AI is building a full-stack AI computing platform that empowers users to personalize their experience. Join us to learn how Character.AI is continuing to drive innovation to create more intelligent, responsive, and human-like AI systems.

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This book, Hands-On Big Data Modeling, provides you with practical guidance on data modeling techniques, focusing particularly on the challenges of big data. You will learn the concepts behind various data models, explore tools and platforms for efficient data management, and gain hands-on experience with structured and unstructured data. What this Book will help me do Master the fundamental concepts of big data and its challenges. Explore advanced data modeling techniques using SQL, Python, and R. Design effective models for structured, semi-structured, and unstructured data types. Apply data modeling to real-world datasets like social media and sensor data. Optimize data models for performance and scalability in various big data platforms. Author(s) The authors of this book are experienced data architects and engineers with a strong background in developing scalable data solutions. They bring their collective expertise to simplify complex concepts in big data modeling, ensuring readers can effectively apply these techniques in their projects. Who is it for? This book is intended for data architects, business intelligence professionals, and any programmer interested in understanding and applying big data modeling concepts. If you are already familiar with basic data management principles and want to enhance your skills, this book is perfect for you. You will learn to tackle real-world datasets and create scalable models. Additionally, it is suitable for professionals transitioning to working with big data frameworks.

Open Source technologies are providing contemporary developers with a range of cost-effective and robust alternatives to commercial software for building dynamic, data-driven Web applications. This practical guide presents a comprehensive survey of LAMP (Linux, Apache, MySQL, Perl, and PHP), and it shows how these solutions can be implemented efficiently and securely while improving reliability and dramatically cutting costs. focuses on the most important core material necessary so that developers can "hit the ground running" and begin building applications right away. This book presents a balanced overview of LAMP technologies and allows the reader to decide which tool may be appropriate for the particular task at hand. After a general overview of Open Source technologies, the book presents an overview of the Web before moving on to cover structural, static, dynamic, and embedded technologies. The coverage here provides a description of the strengths and weaknesses of each Open Source technology and also acts as a reference guide for each application. Open Source Web Development with LAMP Topics covered include: A comprehensive survey of Open Source technologies Static and dynamic data and embedded HTML on the Web Linux and Unix distributions, installations, and commands Apache Web Server, Perl, and MySQL Web site META language (WML) Common gateway interface (CGI) and mod_perl Server Side Includes (SSI), Embperl, and Mason PHP syntax and functions In addition to the discussions in the book, a companion Web site--www.opensourcewebbook.com--contains supplemental information, including tools, source code, helpful links to additional resources, and errata as needed. Complete in coverage and practical in presentation, spotlights the tools and technologies today's developers need to create workable, dynamic, and secure Web sites using Open Source technologies. Open Source Web Development with LAMP 020177061XB11072002