A few years back, experts and pundits alike were predicting the highways of the 2020s would…
Dr. Amanda E. Randles
The World Health Organization tells us that cardiovascular disease claims 17.9 million lives each year, making…
Throughout 2022, businesses moved past COVID-19 and focused on the future. Many took the innovations and…
After struggling with product shortages for a good portion of the pandemic, U.S. retailers have been…
In this week's real-time analytics news: McKinsey announced the acquisition of Iguazio with the goal to “dramatically accelerate and scale AI deployments.”
Even with the growth in demand for AI-driven financial products and offerings, many financial services firms have yet to develop and hold themselves accountable to Responsible AI standards.
Observability helps organizations manage the increasing complexity of technology infrastructures and shift left to deal with the tech talent shortage.
A data management strategy that ensures data quality and governance will empower a business environment that can successfully achieve and even surpass business goals – from improving customer and employee experiences to increasing revenue and everything in between.
Although many industries will take advantage of cutting-edge robotics in their operations, the automotive industry is expected to make up the majority of market growth.
As enterprises seek to unlock the opportunities of synthetic reality created by generative AI, building trust will be critical.
An important part of the process is to bring in people from across disciplines, even if they have conflicting perspectives.
Edge and 5G-based networks are being employed to lay the groundwork for tomorrow’s generation of digital cities.
Digital twins could be the catalyst for reduced emissions, as city planners are able to trial run more decarbonization efforts with low operational costs.
In this week's real-time analytics news: The IEEE and the IEEE Standards Association (IEEE SA) announced a program that provides guidance on trustworthy AI.
By embracing IT democratization, companies can give dedicated IT staff the time and resources they desperately need to address a growing list of business-critical tasks.
Digital-native businesses that adopt hyperautomation can use it to automate full end-to-end workflows rather than just isolated discrete efforts.
The study suggests that projects using AI code-generating tools still need some level of human oversight and expertise for critical security tasks.
For non-technical staff, the lack of understanding and obfuscation by some developers is one of the lead causes of under-utilization of machine learning services in the real world.
Thanks to ChatGPT, the genie is out of the bottle with AI-assisted content development. But businesses and individuals would be wise to proceed with caution.
Digital twins offer a way to apply advanced analytics to derive insights that, in turn, drive optimization of production and operation processes.
The new multi-year collaboration aims to build an AI supercomputer to handle some of the most sophisticated AI models.
In this week's real-time analytics news: the NSF launched the AI Institute for Exceptional Educational, which will focus on the speech language pathology needs of children.
Advances in both computational modeling and machine learning have shown the promise of a clear paradigm shift in personalized medicine. As such, a new research effort seeks to leverage machine learning to create new ways to identify and track heart disease localization and progression.
Swim helps business build applications that use streaming data to enable sophisticated business logic, which, in turn has a valuable impact on the business.
Look for a big year ahead for artificial intelligence, but some caution that we will see a “shocking rollout of AI way before it’s mature or ready to go."