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Jay Limburn
Why Data Catalogs are Becoming Commodities…and What Comes Next
In the last decade, data catalogs have been heralded as the cornerstone of effective data governance.…
Abhinandan Jain
How Real-Time Data Analytics Is Transforming Customer Interactions
In today's hyper-connected world, businesses must respond to customer needs faster. Customers expect immediate resolutions, personalized…
Snehal Shinde
AI Bookkeeping: Real-time Financial Insights
Everything is easier when companies have a clear picture of their finances. Real-time financial insights simplify…
Les Yeamans
Top 5 Challenges When Integrating Generative AI
Undoubtedly, generative AI (GenAI) is here to stay. Every day, there are numerous examples of its…
Real-time Analytics News for the Week Ending March 22
In this week's real-time analytics news: The NVIDIA GTC AI Conference delivered an abundance of announcements related to accelerating AI workloads.
6Q4: Unstructured Data Management Tips in the AI Era
As enterprises embrace AI, they face mounting pressure to safeguard data integrity and uphold rigorous compliance standards. Centralized data management and observability can help.
Why Data Catalogs are Becoming Commodities…and What Comes Next
For CDOs and data leaders, the imperative is clear: move beyond the data catalog mindset. Embrace platforms that provide a holistic view of data health and governance, enabling consistent, high-quality data across the organization.
How Real-Time Data Analytics Is Transforming Customer Interactions
With AI's help, real-time data analytics transforms customer interactions by enabling businesses to respond faster, optimize operations, and enhance service quality.
7 Reasons PostgreSQL is a Great Choice for AI Projects
Picking the right database can make or break your AI project. Besides strong integration capabilities, cost-effectiveness and scalability are also key requirements today. Enter PostgreSQL, also known as Postgres.
Embracing Modern Live Data Pipelines is Key to Scaling Enterprise AI
As businesses advance their LLM deployments from pilot to production, the emphasis needs to be on adopting real-time, adaptive, and automated data frameworks. These enable models to remain relevant and accurate without excessive manual intervention.
The Internet of Things Meets the Right-to-Repair Movement
The right-to-repair movement presents an opportunity for technology manufacturers to redefine their relationship with consumers as a preferred service provider.
Real-time Analytics News for the Week Ending March 15
In this week's real-time analytics news: Boomi announced Boomi AI Studio, which helps manage AI agents at scale.
The Role of Business Process Transformation in Successful AI Adoption
To thrive in the age of AI requires the transformation of business processes in ways that open them up to take full advantage of AI.
Built for the Future: Why Licensing a Real-Time Interaction Engine Beats Building One
As customer expectations continue to evolve, so too must the technologies that support engagement. Enter the Real-Time Interaction Management (RTIM) engine.
AI Bookkeeping: Real-time Financial Insights
AI bookkeeping gives companies access to real-time insights that save them from financial fiascos. Additionally, it empowers companies to proactively track their financial health without the risks of relying on outdated information.
Houston, We Have an Innovation: NASA Commercializes Its Real-time AI Camera
The technology will likely have use in industrial automation and robotics applications that rely on computer vision.
Multimodal AI in Trading is a Competitive Differentiator
As AI continues to transform capital markets, the importance of multimodal data integration will only increase. The competitive advantage will increasingly shift to firms that can not only integrate diverse signals but do so with minimal latency and maximum accuracy.
Real-time Analytics News for the Week Ending March 8
In this week's real-time analytics news: The Gartner Data & Analytics Summit focused on the next steps organizations must take to expand and operationalize their use of advanced analytics and AI.
The Beneficial Impact of AI in Public Services
AI has the potential to completely transform the landscape of the U.S. public services sector by enhancing efficiency, accessibility, and effectiveness, thereby changing the way public services are planned, delivered, and experienced.
Navigating the AI Transformation: From Ambitious Pilots to Consistent Execution
It’s time to move from ambitious AI pilots to sustainable execution. To do that, organizations must build trust in data and AI, develop adaptive data ecosystems, and embed AI into company culture through behavioral change initiatives.
Top 5 Challenges When Integrating Generative AI
Instead of focusing on AI model comparisons or rushing to deploy AI across all business users, leaders should build structured frameworks that guide AI adoption gradually and strategically.
Urban Outfitters: A Digital Twin for Every City
Urban planners are focusing on a citiverse concept that includes elements of smart cities and digital twins.
Modernizing Existing Manufacturing Operations with Smart Technologies
The modernization of existing auto manufacturing operations is no longer a luxury; it is a necessity for staying competitive in today’s fast-paced industrial landscape. By embracing smart manufacturing technologies, manufacturers can modernize their operations to unlock new levels of efficiency, quality, and sustainability.
Real-time Analytics News for the Week Ending March 1
In this week's real-time analytics news: IBM debuted the next generation of its Granite large language model (LLM) family.
Twinning in 2025: Why Digital Process Twins Are Essential for Operational Resilience
Digital process twins represent a paradigm shift in how organizations visualize, analyze, and optimize their processes. By integrating rich data attributes and leveraging data-aware simulation models, businesses can unlock deeper insights and drive strategic decisions.
Boosting Supply Chain Management Through Analytics: A Deep Dive
Supply chains will increasingly be guided by advanced digital technologies (most prominently, artificial intelligence) to enhance process automation and execution. With these cutting-edge tools, decision-making will blend harmoniously throughout the value chain.
The Year of Workload Choice: Navigating the Changing Enterprise Computing Landscape
Organizations today find that they must adapt to changing business requirements and support emerging technologies and workloads. To do so, scaling capacity and performance must be balanced against operational costs over time.
Retailers Embrace AI to Transform Operations in 2025
Survey: Most U.S. retailers plan to expand AI capabilities to enhance efficiency, improve job satisfaction, and elevate the shopping experience.
A Practical Guide to Optimizing GRC Processes
Automation, AI, and more can help organizations make improvements that translate to faster, more accurate, and more scalable GRC processes.