Sphere's leadership, Leon Ginsburg and Mario Schwarts, will be at the Data+AI Summit 2024 to gather insights and share their expertise on the evolving landscape of data and AI. From platform health checks to advanced data engineering strategies, their mission is to enhance Sphere's offerings and drive digital transformation for clients.

Context

In the highly specialized field of glass fiber manufacturing, the process of transforming raw materials into

Financial services company streamlined its employee onboarding

and enhanced productivity by developing a Corporate Knowledge Agent.

Stellar Virtual hosted a ChatGPT workshop aimed at enhancing

content creation, student engagement, and academic performance.

A major bank faced customer dissatisfaction and retention issues. Leveraging AWS-based analytics, they achieved 15% higher retention, deeper customer insights, enhanced personalization, and increased revenue, highlighting the power of comprehensive data-driven solutions.

Business intelligence (BI) tools empower data-driven decisions through data visualization, mining, and business

Our client is a technology company providing a powerful suite of data and tools to support marketers to make data-driven decisions and to understand the true impact of their marketing and advertising campaigns. Sphere fulfilled a unique analytics requirement that our client wanted assistance with, using their own global behaviour data.

A British multinational petroleum company wanted to update functionality and data models to better serve their customers and internal teams by using customized workflows and configurations to their Salesforce instance.

An understanding of data maturity can guide a company's transformation from being clueless about data to taking advantage of its full potential. In this post we compare different approaches to data maturity.