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Les Yeamans
Gartner Keynote: A Franchise Model for Growing Analytics
Analytics applied to the vast amount of data available today can potentially change the way businesses…
Dan Ciruli
Marrying OpenAPI and Kubernetes to Prevent Scalability Bottlenecks
Like most Taylor Swift fans, I was disappointed in the Ticketmaster crash during the presale for…
Ritam Das
Apache Kafka and RabbitMQ: Which Open Source Platform Will Fit My Needs?
Open source message queue platforms RabbitMQ and Apache Kafka both ensure that applications and services producing…
Gunnar Morling
What Is Change Data Capture and Why Should You Care?
When looking at the many developments in the data space over the past few years, one…
Three Strategies for Building a Data-Driven Company
Data-driven organizations rely on three strategies to be successful: an enterprise data platform, the right operating model, and a company-wide data culture.
OpenWallet Foundation Formed Digital Wallet Open-Source Alternative
The Linux Foundation Europe announced the formation of the OpenWallet Foundation, aimed at building an open-source digital wallet.
Frictionless AI: The Key to Delivering on AI’s Promise
Many AI projects never make it beyond small-scale trials due to a lack of skills, technical obstacles, and organizational issues. Here's how to remove these sources of friction .
What’s Next for Generative AI Models like DALL-E?
As generative AI expands into new industries, it will undoubtedly continue to evolve as experts determine how to best use these new tools to solve their challenges.
Gartner Keynote: A Franchise Model for Growing Analytics
Businesses can use a franchise model that promotes global consistency to scale the impact of a centralized data analytics team throughout an organization.
A Lot of Excitement About ChatGPT, But Be Wary
The problem with the content that's produced by ChatGPT (or other generative AI tools) is it possesses no warranties or accountability whatsoever.
The Semantic Layer’s Role in Analytics and Data Integration
When performing advanced analytics against data that is both too wide and big, semantic layers are making a difference in how information is found, used, and leveraged.
Center for Data Innovation Outlines 10 Principles for AI Regulation
The publication of these principles comes as policymakers across the world have proposed regulations to ensure that AI is focused on safety, privacy, and responsible pursuits.
Optimizing Incident Response Through Secure Collaboration
Slow response to cyber threats puts your enterprise at risk. Properly training and integrating application developers through an intelligent technical collaboration platform can transform incident response.
Using Geospatial Analytics to Optimize New Telecom Services
Telecom providers like T-Mobile are turning to geospatial analytics to help plan deployments and optimize quality of service and coverage.
Real-time Analytics News for Week Ending March 18
In this week's real-time analytics news: Multiple announcements aimed at helping organizations scale their analytics, AI, and ML efforts.
Empower Decision Makers: Going from Data-Driven To Data-Agile
The truly data-agile organization requires an architecture that provides access to needed data as quickly as possible, applications that access and analyze large amounts of data looking for trends, and user interfaces that allow everyone to query information without having to rely on others for analyses.
5G IoT Connections To Surpass 100 Million By 2026
5G IoT connections are expected to increase by 1,100% by 2026, from 13 million in 2023 to 110 million by 2026. This will be led by smart cities.
Why Lifecycle Data Management is Critical to Get the Most Out of Streaming Edge Data
Making the most of streaming edge data requires a special infrastructure architecture that accommodates the data throughout its lifecycle.
The Four Trends Driving Efficiencies and Business Change in 2023
When addressing business change and disruption, these four trends can transform how organizations operate, communicate, and make crucial business choices.
Data Management and AI: Creating Value at the Edge
By applying edge-specific capabilities and AI integration at the data source, businesses can eliminate inefficiencies, gain greater operational awareness, and turn data at the edge into revenue-generating opportunities.
Sustainability and Reliability: The Future of Agriculture Technology Lies in Microgrids
The increased adoption of microgrids across the industry could result in driving the agriculture economy, improving food security in areas that have traditionally been lacking, and increasing resiliency in the supply chain.
The Key Digital Transformation Acceleration: The Convergence of Simulation, AI, and HPC
Future.Industry 2023 explored how the convergence of simulation, HPC, AI, and data analytics is enabling innovations and disruptive new technologies.
Filling the Gaps in ERP Security
Improved ERP security is a must as threat actors have become smarter, quicker, and more sophisticated with their attacks on business-critical applications.
Everyone Wants to be Data-Driven, but Few Want to do the Driving
Analytics-aversed organizations lack dedicated leadership to evangelize and guide their transformation thus inhibiting the goal of being data-driven.
Digital Twins: The Secret to Better Retail Planning
A digital twin allows a business decision-maker to test and validate a complete set of strategies and objectives across teams and make smart decisions that improve the customer experience and maximize profitability.
Swedish Climate Platform Makes Pledges Actionable
Cities are utilizing climate platforms to better inform them of the effects of environmental policies and decisions on reducing carbon emissions.
Real-time Analytics News for Week Ending March 11
In this week's real-time analytics news: Several companies announced generative AI offerings or enhancements to their product lines.
Industry Use Cases for AI-Enabled Edge Applications
Edge AI offers many benefits making it a powerful tool to enable use cases across a wide range of industry applications.
Why Data Should Be a Farmer’s Best Friend
The work of farming has grown more complex and is generating more and more data. Establishing a good relationship with that data makes everything easier.
