The conversation around generative AI in the enterprise has rapidly shifted from curiosity to necessity to practicality. How can your business adopt AI quickly and securely? What are the operational implications of generative AI and the high-performance infrastructure needed to make it work? How can AI scale to support the needs of your business? Join WWT Managing Director of AI and Machine Learning Tim Brooks as he outlines a practical framework for building an AI ecosystem, details technical considerations to build a high-performance architecture stack for scaling AI and poses eight key questions that determine readiness for practical AI solutions. Editor's Note: This Briefing is a pre-recorded session from WWT's Customer Technical Advisory Board earlier this year.

AI-powered chatbots or virtual assistants are rapidly growing as organizations look to more efficiently respond customer needs and drive loyalty through a more personalized experience. But building AI-powered digital assistants is challenging given the numerous approaches and tools available on the market. Pulling upon experience building two intelligent digital assistants for internal-to-WWT purposes, WWT Data Science Director Ankur Gupta and Data Consultant Dale Hsu dive into the dos and don'ts of building AI-powered chatbots that can drive value for your business. Ankur discusses a three-layered framework approach designed to solve for scale and cost bottlenecks. And Dale discusses key learnings that can help you in your AI journey.

Join us for the Virtual Lab Workshop! During this exclusive session, the host will introduce the Retrieval Augmented Generation (RAG) Walk Through lab. This lab is designed to provide a foundational understanding of RAG and enable participants to perform real-time queries of a Large Language Model (LLM) both with and without RAG. By leveraging external data via RAG, attendees will discover how this approach can significantly benefit their organization. This one-hour event is limited to 30 participants who will have the opportunity to engage in Q&A throughout the session. Attendees are encouraged to actively participate by launching the lab themselves alongside the host for a hands-on experience.

The incredible popularity of generative AI and ChatGPT is forcing technology leaders to take notice and understand its role in enterprise IT. What is it? How is it made? What are its use cases? And what are its limitations?   Join WWT data scientists Ankur Gupta, Achal Sharma and Aditya Prabhakaron as they go under the hood of ChatGPT and talk about the technology behind the scenes of Chat GPT and how large language models are poised to make an impact on how we do business.

Generative AI and large language models (LLMs) are firmly within the mainstream conscious thanks to the explosive popularity of ChatGPT. But language modeling has been in the works for 75 years now. And while data scientists in the know have always expected advancements in the technology were on the horizon, even they are amazed at the mass adoption of generative AI tools and pace of change taking place in today's market. Join Aditya Prabhakaron, a lead data scientist for WWT, as he talks about generative AI and LLMs and what they mean for businesses of all kinds. Aditya details an experiment he and his team performed exploring the capabilities of different size language models, and dives into a few dos and don'ts when it comes to generative AI in the enterprise.

As AI transforms industries, business leaders can't afford to sit on the sidelines. Even if you're still figuring out exactly how AI is going to fit into your organization, it's critical to start developing an informed perspective now. This episode of WWT Research dives into real-world insights and learnings gleaned from to two key AI initiatives taking place within WWT – WWT GPT and RFP Assistant – to provide you with high quality advice and guidance that can be immediately applied to your own AI journey. Take a look behind the scenes and learn more about the reality of what it takes to harness Gen AI and LLMs in the enterprise.

Business and IT leaders are being pushed by management teams to adopt and move fast with generative AI. But where to start? Organizations need concrete ways to integrate this exciting technology into existing operations. Join WWT Data Science Director Ankur Gupta as he talks about WWT's overall vision for AI and how we've developed an AI roadmap that prioritizes practical use cases that will create value. Ankur discusses two specific use cases WWT is driving forward and how that can help you think strategically about your own AI initiatives and dives into what "the emerging LLM stack" means.