IBM Named a Leader in the 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems

For the second year in a row, Gartner named IBM a Leader in Gartner Magic Quadrant for 2021 Cloud Database Management Systems based on its Ability to Execute and Completeness of Vision. With emergence of a single cloud DBMS market, We believe our portfolio of feature-rich, enterprise-tested offerings, bold acquisitions, and partnerships enable our clients to address the unique needs of their business, respond to the growing volume, velocity and variety of today’s data and drive more accurate data driven decisions.

Federal Health IT: Cybersecurity, Cloud and Data Analytics Trends

The COVID-19 pandemic has spurned greater demand for health information technology (IT) by demonstrating the importance of having robust medical research, health surveillance and healthcare systems capable of rapidly responding to new and developing situations, something which requires strong IT investment in big data, cybersecurity and cloud. In addition, both the pandemic and emerging technologies have led to numerous changes within the healthcare industry, such as telehealth expansion and increased use of wearables, which necessitate robust health IT solutions.

[eBook] Get Insights from Government Data, Before It Perishes and Goes Stale

So much data, so little time. Disparate sources such as sensors, machines, geo-location devices, social feeds, server and security system logs, and more, are generating terabytes of data at unfathomable speeds. Getting any kind of real-time insight and, we dare you to dream, acting on that data as it flows in, is not an easy feat for resource-constrained government agencies.

Big Data Month: New eBook Sheds Light on How Government is Overcoming Persistent Big Data Challenges

There are many opportunities in the public sector for data science and data analytics, yet, almost as many challenges. When we kicked off Big Data Month at DLT, we asked our Chief Data Scientist, Sherry Bennett, for her insights. What became clear is that the obstacles to big data success are universal to both the public and private sector: “…everybody…is grappling with the same thing.