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Industries Blogs

Industries
5 Min Read
Federal agencies are adopting a more modern, digital-centered approach in everything they do and exposing critical problems in the modernization journey.

Latest Articles

Industries 2 Min Read

Data Ethics: Putting words into action at techUK annual summit

When Data meets Ethics it becomes a little bit tricky. That's why it was important for us to attend this year's techUK's Digital Ethics Summit.
Industries 2 Min Read

Innovation in Government: A Holistic Strategy for IT Modernization

Splunk Cloud is now FedRAMP Authorized, further demonstrating our commitment to ensuring the success of our government clients
Industries 3 Min Read

Artificial Intelligence and Public Trust

When Artificial Intelligence meets public trust it usually gets tricky. But what are the challenges and how can they be addressed? Read more here.
Industries 2 Min Read

State of Michigan's DTMB Leverages Data to Cement Agency Reputation and Deliver Exceptional Citizen Experience

The State of Michigan's Sanjay Srivastava shares a closer look at their IT modernization efforts for their BRIDGES platform
Industries 1 Min Read

Splunk Essentials for Financial Services Industry v1.1 Release

Check out the newest use cases included in the latest release of Splunk Essentials for Financial Services Industry v1.1
Industries 2 Min Read

5 Biggest Mistakes in IoT PoCs

The five most common mistakes made with IoT proof of concepts (PoCs) and how to avoid them.
Industries 3 Min Read

Four Stages of Data Leverage for Fast, Confident Decisions

Four steps to dealing with data chaos to make data-driven decisions.
Industries 3 Min Read

The Macroeconomic Perspective from Hannover Messe: Digital Changes the Balance of Power

Key take-aways from the 2019 Hannover Messe, the world’s largest industrial conference.
Industries 2 Min Read

University of Connecticut Students Dig Into Industrial IoT

The University of Connecticut School of Business' Jonathan Moore shares how students are using industrial IoT to overcome their data challenges