Trending Now
From Our Experts
Les Yeamans
Gartner Keynote: Be AI-ready to Empower Change
AI is the key to business success. And the keys to AI success are the availability…
Roy Schulte
Four Kinds of Software to Process Streaming Data in Real Time
This article is aimed at architects, software engineers, product owners, and other IT leaders responsible for…
Artyom Keydunov
Real-time AI Experiences Can’t Advance Without a Universal Semantic Layer
Organizations today capture enormous amounts of data for improved operations, compliance, and analytics. In addition, they…
Joe McKendrick
It’s Time to Stop Treating Predictive Analytics as Data Science Projects
Predictive analytics serve a range of business needs, from real-time fraud detection to foreseeing customer behavior.…
Where and How Should GenAI Be Used for Industry?
To scale GenAI use up, industrial organizations will need to make deployments easy to use and integrate the technology into normal workflows
Real-time Analytics News for the Week Ending March 16
In this week's real-time analytics news: AWS announced support for a second database engine to run near real-time time-series apps.
Generative AI Poised to Unleash More Independence for Humanoid Robots
Generative AI is giving developers more ways to impart human-like qualities and more functionality into modern robots.
Gartner Keynote: Be AI-ready to Empower Change
Business success is dependent on having AI-ready data. The way to ensure that is through an iterative process based on the availability of metadata to measure, qualify, and govern the data.
AutoML: Paving the Way for a Smarter, More Inclusive Future
By democratizing access to machine learning, AutoML empowers individuals and organizations across the globe, regardless of their technical expertise, to harness the power of AI.
From Insight to Action: The Path to Operational Excellence Through Data
Achieving operational excellence through data-driven strategies demands more than just technological upgrades; it necessitates a comprehensive approach encompassing organizational readiness, cultural transformation, and proactive change management.
Four Kinds of Software to Process Streaming Data in Real Time
A look at the four kinds of software that perform real-time analytics on event streams and when to use each.
Real-time Analytics News for the Week Ending March 9
In this week's real-time analytics news: NVIDIA will integrate its CUDA-X data processing libraries with HP AI workstation solutions.
GenAI: Redefining Data-Driven Transformations
A disciplined approach to data engineering is the foundation of an effective GenAI strategy, which is needed to enable data-driven transformation.
Calling the Shots: Navigating Business Destiny with Data-Driven Strategies
The more digital a company becomes, the more data it accumulates, providing a foundation for informed decision-making, strategic planning, and sustained success in the ever-evolving business landscape.
The Modern Data Stack Needs a Complete Overhaul – Here’s Why
Organizations need to take a hard look at their entire data stack and determine if all of the solutions are providing functionality, efficiency and accuracy, or if there’s room for consolidation into a single, customizable system.
Digital Twin Efforts Best Shared, US Government Agencies Told
The lack of standards in data generation and sharing hinders the interoperability of data required for digital twins. That and other factors make a cross-agency digital twin strategy all the more important.
Your Next-gen Fail-safe Plan: Enterprise Multi-clusters
Meeting the business and user performance and availability expectations for modern cloud-native apps is challenging. To do so, businesses should embrace cooperative multi-clusters for their ability to reduce risks and help in case of a disaster.
Real-time Analytics News for the Week Ending March 2
In this week's real-time analytics news: IBM and Microsoft separately announced efforts involving Mistral AI.
Real-time AI Experiences Can’t Advance Without a Universal Semantic Layer
With a universal semantic layer that organizes and standardizes your data, your company is ready to embrace AI wherever it leads.
It’s Time to Stop Treating Predictive Analytics as Data Science Projects
Rather than focusing on data science metrics, predictive analytics efforts must be tied to business outcomes.
The Real Reason Your Project is Delayed and Workdays are Getting Longer
Adopting automation does not guarantee productivity improvements. Often neglected is an understanding of how employees actually want to work.
Enabling IT/OT Convergence and Its Many Benefits
As IoT and enterprise connectivity become more entrenched in manufacturing environments, the vision of IT/OT convergence is becoming a reality.
The State of Manufacturing 2024: It’s Digital All the Way
Expanded use of digital technologies like IoT, enterprise connectivity, and analytics is the key to addressing the major challenges manufacturers face in 2024.
Gartner Data & Analytics Summit Delivers on GenAI
While GenAI will be prominent at the Gartner Data & Analytics Summit, at least half the agenda is dedicated to traditional topics covering good data management and how to get the most out of your analytics investments.
Real-time Analytics News for the Week Ending February 24
In this week's real-time analytics news: AWS announced two Mistral AI models to soon be available on Amazon Bedrock.
Manufacturers Find New Applications as IoT Devices Proliferate
With more IoT devices being installed and deployed in manufacturing plants and on production lines all the time, new applications for IoT data (beyond the more well-known use cases) are starting to emerge.
AI on the Edge: Bringing Intelligence Closer to the Source
With AI on the edge, instead of bringing data to the algorithm, the algorithm is going to the data and enabling a whole new level of insights.
Using AI to Determine What Predictive Models Will Actually Solve Your Problems
Thoroughly exploring data with AI before a predictive model gets built is a way to be sure all the important factors in complex datasets will be tracked.
4 Things Every Business Must Know About The Application Generation
The Application Generation has arrived and they're making it their mission to expose and eliminate poorly performing applications. Now is the time to take a look at your tech stack to ensure you are equipped to offer optimized performance, can navigate disruptions easily, and are delivering the experience that today's users expect.