Modern Data Stack Conference 2020

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.

No one doubts that data is the gold of the XXI century. The annual growth of the data analytics market was valued at over 240 billion U.S. dollars in 2021, according to Statista. The expectations are to increase the market value to over 650 billion U.S. dollars by 2029. However, only 19 percent of Fortune 1000 companies say they established a data culture in their organisations while becoming a data-driven company is essential to succeed.

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.