Data & Analytics Archives - Page 4 of 10

11 Ways AI is a Catalyst for Productivity in Pharmaceutical Organizations

See how AI has the potential to impact employee and sales productivity in pharmaceutical organizations.

The importance of digital and data

Read this blog to uncover why businesses must not just embrace but strive for digital transformation to remain competitive in today’s economy.

Boost your financial and operational strategies with Business Performance Planning

Our Customers’ Best Teammate is a Databricks MVP

Dr. Michael Green Named Databricks MVP We are thrilled to announce that Dr. Michael Green, a distinguished expert in artificial intelligence and Director of Product Management at Hitachi Solutions, has been named a Databricks MVP. This recognition is a testament to Dr. Green’s significant contributions to the data and AI community, as well as his […]

Unlock Powerful Analytics Capabilities with Microsoft Fabric and Power BI

RAGs to Data Riches

A Deep Look at the Power of Retrieval Augmented Generation Want to go from RAGs to data riches?   Many enterprises are at the crossroads of data modernization and the age of AI, but few are leveraging either to their maximum potential.   I invite you to watch my presentation below where we’ll take a dive into […]

Unlocking Value in Your Healthcare Data

Explore how healthcare organizations can unlock the power of data, turn insights into action, and achieve AI-readiness.

How to Unlock the Value of AI with a Sound Data Strategy

Data and artificial intelligence (AI) are quickly becoming integral assets that drive competitive advantage and innovation. Microsoft has been at the forefront of releasing new tools around data analytics and AI, setting the stage for a significant transformation in how companies operate and compete. But to fully leverage these powerful tools, organizations need to have […]

Make Your Data As Actionable As it is Accessible

Your Fast Track to Analytics & AI with Hitachi Unified Data Accelerator Data is the foundation of every AI initiative, but for most organizations, it’s also the biggest barrier. Despite investments in cloud, analytics platforms, and AI tools, many teams still struggle to turn data into meaningful insights. Data is fragmented, difficult to manage, and […]