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Akmal Chaudhri
Why Data Literacy Is Key to Unlocking AI Innovation
Despite the billions invested in artificial intelligence (AI), many organizations still remain in early adoption phases.…
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…
Why and How to Modernize Data Governance for the Financial Services Industry
For businesses seeking to stay ahead of data compliance requirements, while also taking full advantage of new technological opportunities in areas like AI, now is the time to overhaul financial data governance.
Trucks Bring New Design Challenges to EV Manufacturers
Electric commercial vehicles face more complex systems engineering, thermal management, and operational planning than electric cars. They demand more durable and scalable solutions, which makes their development significantly more resource-intensive and tailored to specific fleet needs.
Electric Vehicle Makers Embrace AI and Automation
EV automakers have doubled down on the use of advanced technologies and increasingly rely on AI and automation to address market volatility and production challenges.
Real-time Analytics News for the Week Ending May 24
In this week's real-time analytics news: NVIDIA and its partners made multiple AI-related announcements at COMPUTEX 2025.
Designing Low-Latency Systems for Real-Time Flight Availability
Delivering flight availability in real time (sub-second latency) under heavy load is challenging but achievable with the right architecture. Key strategies include multi-tier in-memory caching to serve hot data instantly, strict timeouts and circuit breakers to isolate slow dependencies, and asynchronous message-driven designs to decouple components and buffer spikes.
NVIDIA Announces U.S. AI Supercomputer Manufacturing
NVIDIA plans to bring supercomputing manufacturing to the United States for the first time, helping boost resilience in its supply chain.
Beyond Speed: Why Modern HPC Must Prioritize Data Durability to Maximize ROI
By embracing durability as a strategic priority, organizations can mitigate risks, protect their investments, and enable innovation in an increasingly data-reliant world.
MCP: Enabling the Next Phase of Enterprise AI
The Model Context Protocol (MCP) supports the development of AI agents that can perform complex tasks by interacting with multiple data sources and tools in real-time.
Transforming Security into an Ongoing Practice
In the age of AI-generated code and the growing reuse of open-source software components, organizations need to adopt a security first strategy to save money, reducing conflict, and build better software.
Digital Twins will Soon be Everywhere, Futurists Predict
Digital twins are expected to become commonplace by 2035. However, implementing them may require resources and expertise that may not be available to many companies.
Why Latency Reduction is Critical in Real-Time Visual Intelligence Systems
As visual intelligence becomes embedded in business operations, latency should be treated as a key performance indicator. And while addressing latency has typically been the domain of engineers, business stakeholders must now get involved.
Real-Time Visual Intelligence in Retail
The adoption of Real-Time Visual Intelligence empowers retailers to visualize and understand customer behavior intricately, enabling dynamic adjustments to pricing and promotions.
Charting a New Course for Digital Advertising: Fairness and Privacy through Infrastructure Innovation
As the digital advertising ecosystem continues to evolve, the integration of privacy-aware infrastructure and fairness-focused algorithms will be paramount. By leveraging technologies like federated learning and differential privacy, and by adopting industry standards for fairness, advertisers can build systems that respect user privacy and promote equitable ad distribution.
How to Make Your Legacy Systems Part of Your Real-Time AI Efforts
It’s tempting to view legacy systems as barriers to innovation, but they can become part of a powerful hybrid future with the right architecture. Building bridges that let legacy systems and AI collaborate without compromise is key.
Why Industrial AI Fails Without Quality Visual Data
In industrial AI, visual data quality isn’t optional; it’s mission critical. And as systems grow more autonomous and interconnected, the stakes only rise.
Real-time Analytics News for the Week Ending May 17
In this week's real-time analytics news: Qlik made a number of announcements at its Qlik Connect 2025 conference.
Debunking the Myths of Mathematical Optimization: The Future of Data-Driven Decision-Making
Mathematical optimization offers its own prescriptive decision-making role to help teams make informed decisions on complex problems.
How Domain-Aware AI Is Transforming F&B Compliance
In an industry where one bad batch can mean millions of losses, or worse, trustworthy and context-aware AI is a critical ingredient in building a safer, smarter supply chain.
Advancing AI & ML for Scientific Discovery: Equalizing Access to Computing Resources
By providing access to the computing resources needed to run advanced artificial intelligence models, we are equalizing the playing field for scientific researchers.
Data Immediacy’s Next Step
Data immediacy goes beyond the concepts of streaming data and data-in-motion. It adds the dimension that data has a very specific time value. The less recent the data is, the less valuable it is. Here are the issues you should consider to implement data immediacy and realize its benefits.
Navigating the Data Immediacy Readiness Scale
Data immediacy is not a buzzword; it's a capability that separates leaders from laggards in the modern enterprise. The Data Immediacy Readiness Scale provides both a diagnostic and a roadmap for modern organizations.
Beyond Hallucinations: 7 Steps to Getting Accurate, Consistent, and Relevant Responses from AI
Once a foundation for more trustworthy, reliable AI is built using a universal semantic layer, errors will occur less often, and hallucinations may disappear from the AI lexicon.
The State of AI: Smaller, Smarter, and More Affordable
Models are changing and companies may soon take advantage of more efficient and cost effective options.
Why Training LLMs on Company-Owned Data Is the Key to Scaling AI
Training LLMs on company-owned data equips an organization’s LLMs with the intelligence they need to act as true extensions of an enterprise.
Leveraging AI and GenAI for Data-Driven Turnaround Planning
Integrating AI and GenAI into turnaround planning marks a significant shift towards proactive, efficient, and safe industrial operations. By embracing data-driven strategies, organizations can optimize their maintenance processes and achieve long-term operational excellence.