Predictive Analytics World for Business

How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning. Attend Snowflake Summit 2023 to learn how to access, build, and monetize data, tools, models, and applications in ways that were previously unimaginable. Enable seamless alignment and collaboration across these crucial functions in the Data Cloud to transform nearly every aspect of your organization. At Summit, you’ll hear all about the latest innovations coming to the Data Cloud, and learn from hundreds of technical, data, and business experts about what’s possible for you and your organization in a world of data collaboration.

The 9th Annual Big Data and Analytics Summit Canada returns to Toronto in 2023 with leading data experts from a wide variety of industry sectors. Secure your spot today and: Cultivate an innovative data culture and drive data accessibility throughout your company. Harness the latest data governance strategies and keep your information secure. Transform your organization’s approach to acquiring and retaining data Optimize your business insights and deliver improved decision-making. Monetize your data to maximize your ROI. Leave with best practices from 50+ big data executives.

The annual Data Architecture Online event will cover key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and connect with hundreds of data peers during this day of live, webinar-style sessions. Registration is free and gives you access to the sessions presented throughout the day, the live Q&A with the speakers, and all recorded presentations and materials.

Come to San Diego and participate in an interactive summit designed for business, data science, and IT leaders who are responsible for selecting, managing, and delivering value from analytics applications, AI/ML, business intelligence, and the data that fuels them. Organizations count on analytics to innovate, attract and retain customers, improve efficiency, and determine risk amid today’s unpredictable and fast-changing economic landscape. However, TDWI finds that many struggle to move ahead. Organizations face difficulties that lead to user frustration, errors, and higher costs. As your analytics models, workloads, and data pipelines grow in number and complexity, orchestrating the journey into production and operationalization is a challenge.