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Joe McKendrick
Time to Put Humans Deeper into the AI Design Process
A few years back, experts and pundits alike were predicting the highways of the 2020s would…
Dr. Amanda E. Randles
Machine Learning With Heart
The World Health Organization tells us that cardiovascular disease claims 17.9 million lives each year, making…
Salvatore Salamone
RTInsights 2022: A Look Back at the Year’s Top Stories
Throughout 2022, businesses moved past COVID-19 and focused on the future. Many took the innovations and…
Gaurav Saran
Holiday Gift Returns: Another Chance to Engage the Customer
After struggling with product shortages for a good portion of the pandemic, U.S. retailers have been…
Real-time Analytics News for Week Ending January 28
In this week's real-time analytics news: McKinsey announced the acquisition of Iguazio with the goal to “dramatically accelerate and scale AI deployments.”
FICO Warns Financial Services Dodging Responsible AI Initiatives
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, Infrastructure Complexity, and Shifting Left
Observability helps organizations manage the increasing complexity of technology infrastructures and shift left to deal with the tech talent shortage.
How Good Data Management Enables Effective Business Strategies
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.
Industrial Robotics Driven by Increased Job Site Risk
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.
Generative AI: When Reality is Uncertain, Authenticity is Key
As enterprises seek to unlock the opportunities of synthetic reality created by generative AI, building trust will be critical.
Time to Put Humans Deeper into the AI Design Process
An important part of the process is to bring in people from across disciplines, even if they have conflicting perspectives.
NHS AI Deployment Improves Stroke Recovery
Deployment of a AI diagnostic tool by the UK's NHS for stroke victims has led to a tripling of percentage chance recovery and treatment times.
Cities at the Edge: Promoting Urban Mobility with Technology
Edge and 5G-based networks are being employed to lay the groundwork for tomorrow’s generation of digital cities.
Deploying Digital Twins To Support Decarbonization Efforts
Digital twins could be the catalyst for reduced emissions, as city planners are able to trial run more decarbonization efforts with low operational costs.
Real-time Analytics News for Week Ending January 21
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.
IT Democratization Has Arrived. Here’s How To Capitalize
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.
10 Hyperautomation Use Cases: Delivering Enhanced Business Productivity
Digital-native businesses that adopt hyperautomation can use it to automate full end-to-end workflows rather than just isolated discrete efforts.
Study Notes Vulnerabilities in Code-Generating AI Systems
The study suggests that projects using AI code-generating tools still need some level of human oversight and expertise for critical security tasks.
Simplify Your Edge to Create More Value
We're beginning to enter a new realm where businesses need to address business challenges at scale. That often requires the edge that can process, analyze, and act upon near real-time data across business units and operations.
MIT Researchers Create Explanation Taxonomy to ML Models
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.
Why the Mainframe is the Opposite of Legacy Tech
It’s clear that the mainframe is an essential component of a multi-cloud strategy and a key driver of enterprise-wide security and business continuity.
Reports of the AI-Assisted Death of Prose are Greatly Exaggerated
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, IT/OT Convergence Drive the Industrial Internet
Digital twins offer a way to apply advanced analytics to derive insights that, in turn, drive optimization of production and operation processes.
NVIDIA Partners With Microsoft To Build AI Supercomputer
The new multi-year collaboration aims to build an AI supercomputer to handle some of the most sophisticated AI models.
Real-time Analytics News for Week Ending January 14
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.
Machine Learning With Heart
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.
Streaming Data, Digital Twins, and Overcoming the Tyranny of Averages
Swim helps business build applications that use streaming data to enable sophisticated business logic, which, in turn has a valuable impact on the business.
How Digital Onboarding Fuels Data-Driven Insights
Digital onboarding can yield an increased volume and variety of customer data, near-real-time data-driven insights, and the ability to build personalized experiences that keep customers coming back again and again.
Artificial Intelligence Will Continue to Make Its Mark in 2023
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."
