In the Real-Time Digital Age, Delivering Services Ain’t What it Used to Be
Service organizations face many issues that increase the cost of providing services and limit gains in productivity. As such, many are turning to digital …
Companies Falling Behind with Smart Manufacturing
One-third of manufacturers are hampered by "technology paralysis" that is preventing the success of their smart manufacturing
Digital Twins Offer a Whole New Layer of Security, Study Suggests
A new and improved strategy for detecting cyberattacks on manufacturing systems involves using AI to monitor a digital twin that mimics and is fed real-time …
Dashboards are so 2020: And Not Ready for the Realities of Real-Time
Dashboards have limitations with today's streaming and real-time data flows. The data may be changing so frequently that it is hard to even see what is …
AI May Help Power Tough Times, But Start AI Before the Downturn
Those choosing to start their AI journeys during a downturn face the dilemma of investing in expensive technology when revenues may be in short
A Lot of Excitement About ChatGPT, But Be Wary
The problem with the content that's produced by ChatGPT (or other generative AI tools) is it possesses no warranties or accountability
Everyone Wants to be Data-Driven, but Few Want to do the Driving
Analytics-aversed organizations lack dedicated leadership to evangelize and guide their transformation thus inhibiting the goal of being
Real-Time Data Fueling Artificial Intelligence ‘Factories’
Study correlates the use of real-time data with higher revenue growth and increased developer productivity.
There’s Gold in the Metaverse Hills, But it Needs to be Mined Thoughtfully
The metaverse has become "too big to ignore" – yet its future is far from certain, according to a special report from
Data Management Challenges When Working with Streaming Edge Data
To work with streaming edge data requires a modern data architecture built on next-generation databases, data pipelines, and streaming data