Systems | Development | Analytics | API | Testing

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Step inside the world of data innovation as Cindi Howson talks with Josh Cunningham, Group Head of Data and AI Culture at @lloydsbankonline. They'll explore how this distinguished institution is driving forward with cutting-edge AI. Discover how Lloyds is rapidly expanding its data and AI graduate scheme and pursuing an ambitious quest to become the "most data literate bank". Hear how innovative initiatives like the "Data and AI Summer School" and a physical "Data Escape Room" are used to teach "learning by stealth", propelling their business forward on data and AI.

What's New in ThoughtSpot's Latest Release

Check out what’s new in ThoughtSpot’s latest release! Access data literacy skills within Spotter, and have your agent explain the data model. Now also offering contextual suggestions for questions and additional details on calculations. KPI alerts can now also trigger only for specific attributes and values, enabling more focused and contextual decision-making. Fully customize your user interface by using String IDs for custom system text in white-labeled scenarios.

How a CDAO goes from baseball to insurance with Don Vu - New York Life

Step inside the world of data innovation as Cindi Howson talks with Don Vu, SVP and Chief Data and Analytics Officer at New York Life. They'll reveal how a 180-year-old institution is leveraging cutting-edge AI to make experiences proactive and intelligent. Hear how New York Life utilizes their innovative "GuideMe" tool to supercharge agent and client financial planning, tackles the "last mile problem" in data operationalization, and ensures data quality is paramount for both structured and unstructured data.

Data and AI Predictions for 2025 with Joe Reis

Navigating the evolving landscape of data engineering in the age of AI? Join us as we delve into a crucial conversation with @JoeReisData renowned author of "Fundamentals of Data Engineering" and the highly anticipated "Mixed Model Arts." Joe shares his expert insights on why robust data modeling remains paramount, the urgent need for data teams to upskill in this new era, and the transformative potential of a universal semantic layer.