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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…
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.
Real-time Analytics News for the Week Ending May 10
In this week's real-time analytics news: IBM announced a number of new technologies to scale enterprise AI.
Smarter Claims, Safer Policies: Leveraging Real-Time Data for Fraud Prevention
AI’s use of real-time data for early fraud detection, streamlined claims processing, sophisticated underwriting, and dynamic risk management is already transforming the insurance industry. Future trends suggest even more advanced fraud prevention measures and a far safer sector.
Why Data Literacy Is Key to Unlocking AI Innovation
Bridging the gap between AI potential and real-world impact requires a strategic investment in data literacy. Organizations that train their workforce, simplify their database platforms, and reduce dependence on specialists will not only accelerate AI adoption, but they’ll lead the next wave of innovation.
AI Strategy that Works: How to Integrate AI for Real Business Impact
Companies that align AI initiatives with business priorities, invest in adaptable, user-friendly solutions, and continuously measure impact will see tangible benefits in efficiency, cost savings, and competitive differentiation.
The Transformative Power of AI in Mapmaking and Geospatial Technologies
The transition to live maps and the integration of AI into every stage of mapmaking represent a new frontier for the geospatial industry. These advancements promise to make navigation safer, more efficient, and highly personalized.
Humanoid Robots Ready to Trot Across Factory Floors
Physical AI promises to reinvent industrial automation with more efficient ways to train and control entire digital workforces of autonomous mobile robots.
Real-time Analytics News for the Week Ending May 3
In this week's real-time analytics news: Oracle teams with NVIDIA to support next-gen reasoning models and AI agents.
Improving Public Services with an AI Assist
AI holds significant promise for transforming public service organizations by enhancing efficiency, responsiveness, and decision-making. By adopting a cautious yet proactive approach, public agencies can harness AI to better serve their communities.
AI: Anticipating Customer Issues
Consumers have endless options, and loyalty is hard to come by. An AI-fueled, proactive approach to service can be the difference between repeat customers and those who flock to competitors after one too many unresolved issues.