Leon Ginsburg, CEO at Sphere, shares his perspective on how 2025 will be a defining year for digital transformation. From bridging talent gaps to leveraging AI-driven solutions, Ginsburg highlights the critical factors shaping success, the risks of falling behind, and why ROI-driven tech investments will set leaders apart from laggards.
Transforming Healthcare Data Governance & Compliance
A specialized healthcare organization transformed its data governance and compliance with Sphere's team. By building a secure Azure-based infrastructure, automating compliance workflows, and deploying real-time analytics, the organization achieved full regulatory compliance, improved data accuracy, and enhanced operational efficiency.
Data+AI Summit: Visiting the Partners
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.
How to Use Gen AI for Your Clients: The Guide for Service/Portfolio Companies
"GenAI is revolutionizing the world," "GenAI is transforming the industry," "GenAI is changing the landscape." These statements are not
Implementing HR Analytics for Talent Management in a Major Bank
A major bank faced talent acquisition and retention challenges. By leveraging AWS-based HR analytics, they achieved a 12% reduction in turnover, streamlined hiring processes, and improved workforce planning, leading to significant cost savings.
Data Governance Is More Important Than Ever: Best Practices And Examples
To create a strong, well-supported data governance strategy, you need to secure internal buy-in across the organization. Data governance also allows companies to make the most of the data they hold.
Data Maturity Models – Comparing Approaches to Data Maturity
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.