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Jonathan LaCour
History Repeats: Cloud Technology’s Blueprint for Generative AI Adoption
Enough time has passed since Generative AI's explosive debut that we can say one thing for…
Salvatore Salamone
In Defense of Keeping a Human in the AI Loop
Businesses are quickly embracing AI with high expectations of the benefits the technology can deliver. Often…
Joe McKendrick
We’ll Soon Find Out if Digital Twins Can Replace Humans in Market Research
Digital twins are gaining traction with many applications, and one of the most compelling is representing…
Anna Cachadiña Abelló
The AI Wild West: Who’s Really in Charge of Enterprise AI?
In an era where AI promises to revolutionize everything from coffee brewing to rocket science, here’s…
AI Security Leaderboard Reveals Model Cybersecurity
Introducing a new benchmark for AI security, the CalypsoAI Security Leaderboard evaluates the cybersecurity of leading language models using advanced simulation tools and a comprehensive new metric, CASI.
All Eyes on Gen AI, But Industrial AI will Get a Huge Piece of the Action
Industrial AI is enhancing automation, predictive maintenance, and quality control, leading to improved efficiency and cost savings.
Driving Toward Industry 5.0: An Automotive Manufacturing Perspective
Industry 5.0 represents more than just a technological shift; it’s a philosophical change in how the industry views manufacturing. It demands that automakers blend innovation with empathy, efficiency with sustainability, and precision with creativity.
In-Cabin Sensing has Automakers Looking Inward
In 2025, in-cabin sensing is the underlying foundation needed for legal compliance, semi-autonomous driving, safety ratings, and the premium user experience consumers now expect.
Real-time Analytics News for the Week Ending April 26
In this week's real-time analytics news: MIT focuses on making AI-generated code more accurate in any language.
The Build vs. Buy AI Dilemma in 2025: Lessons from DeepSeek’s Emergence
DeepSeek’s emergence reinforces the reality that AI success isn’t solely about who builds the biggest model – it’s about who deploys AI in the most strategic and effective manner.
Transforming Data Chaos into Clarity with A Semantic Layer
As BI applications embrace Gen AI, the clarion call for providing them with well-defined data becomes even more pertinent. With a robust semantic layer that enriches the raw data into a consumable structure, the full power of AI and NLP can be leveraged.
Modernizing for Growth: Overcoming the Hidden Costs of Legacy Systems
Legacy systems represent a significant roadblock to digital transformation, creating inefficiencies, security risks, and financial burdens for businesses. With strategic planning, scalable cloud solutions, and a dynamic migration strategy, organizations can overcome these issues and unlock new growth opportunities, improve operational efficiency, and drive long-term ROI.
History Repeats: Cloud Technology’s Blueprint for Generative AI Adoption
The patterns of technology adoption continue to be predictable, with GenAI following the same path cloud computing blazed before it. Just as cloud architecture became a critical skill for IT professionals, AI literacy and governance expertise are becoming essential for today's technology leaders.
Why the Arrival of DeepSeek Calls for a Serverless Approach to Enterprise AI Architecture
By outsourcing AI infrastructure to the cloud provider, serverless inference frees enterprises to focus on the application layer of their AI deployments.
In Defense of Keeping a Human in the AI Loop
Does every AI application need a human in the loop? No. Of course not. The challenge is determining which applications need human input and when.
Long-Range EVs Tap Fast-Paced Technology Developments
Long-range EVs use high-capacity battery packs, advanced energy management systems, lighter weight materials, and highly efficient electric motors to extend their driving range beyond 300 miles on a single charge.
Transforming EV Electrical Systems with Generative Design
By embracing a generative design methodology, automotive companies can navigate the complexity of EV development, improve design performance, and speed innovation.
Real-time Analytics News for the Week Ending April 19
In this week's real-time analytics news: NVIDIA announced that it will build AI supercomputers entirely in the U.S.
Yes, You Can Secure AI Without Limiting its Potential
An intent-based framework allows organizations to securely adopt AI technologies by understanding critical use cases, integrating AI with targeted policies, and providing advanced tools, all while safeguarding sensitive data.
How Multi-Cloud Environments Keep Interconnected Businesses Running
While there are significant benefits to multi-cloud deployments, they also bring their own set of challenges. The right enterprise infrastructure is essential to making the transition to a multi-cloud environment much more manageable. This is where a flexible, real-time infrastructure that not only handles data distribution but also ensures compliance with evolving regulations is key to unlocking the full potential of a multi-cloud approach.
How Comprehensive Design and Optimization Simulation (CDOS) is Revolutionizing Electric Vehicle Engineering
CDOS is not just a technological shift but a new way of thinking about vehicle engineering. As EVs become more complex, software-driven, and reliant on system-wide optimization, CDOS will be indispensable for automakers seeking to innovate quickly and efficiently.
Defense-Grade AI Scores a Strike: Transforming Bowling and Beyond with Edge Computing
The transformation of bowling through edge AI reveals its potential to reshape far more than sports. The ability to enable remote, verified competition with real-time processing opens doors in gaming, esports, remote athlete training, and even standardized skills assessment for professions like welding or surgery—any domain where precision, trust, and immediacy matter.
The Power of Visual Analytics in Industry
As the volume of video data continues to grow, the ability to understand and act on it — in real time — will become a competitive differentiator across sectors. That’s where visual analytics comes in.
Architectural Elements of a Real-Time Visual Intelligence System
Building a real-time visual intelligence system requires the tight integration of multiple architectural elements, including those that perform edge processing, visual analytics, and more.
We’ll Soon Find Out if Digital Twins Can Replace Humans in Market Research
Researchers are looking to use a heterogenous group of digital twins agents who replicate the various differences and nuances between actual humans.
Simplifying AI Decision-Making with a New Planning Tool
The development of L-MAP is a step forward in making automated decision-making more reliable and efficient in complex scenarios. The tool could greatly benefit industries that rely on automation, such as self-driving cars and advanced manufacturing, where decisions must be made quickly and accurately.
Real-time Analytics News for the Week of April 12
In this week's real-time analytics news: Google and many of its partners made announcements at the Google Cloud Next 2025 conference.
What Makes a Neobank Successful in 2025? Key Trends and Innovations
Meeting user expectations with personalization, embedded finance, security, and sustainability creates a competitive advantage that attracts NeoBank customers and, most importantly, drives profitability.
After 40+ Years of Spreadsheets, Do They Still Make Sense?
The growing need for real-time insights and the rise of IT consolidation may relegate spreadsheets from a mainstream tool to one that supports a more specialized function for a smaller group of users.