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John Taylor
How Technology Can Reduce the Rise of Product Recalls
The number of food recalls issued increased by more than 20 percent from 2020 to 2023,…
Elizabeth Wallace
AI and DevOps Predictions for 2025: Innovations Driving Transformation
As AI and DevOps continue to converge, 2025 is poised to be a transformative year for…
Chris Adomaitis
Your New Goal: Human and AI Synergy in Customer Interactions
While generative AI is a hot topic among businesses eager to adopt new technologies, integrating AI…
Joe McKendrick
Could AI Make Quantum Computing Unnecessary?
"AI could eat quantum computing’s lunch." That's the word from a recent article in MIT Technology…
Real-time Analytics News for the Week Ending January 18
In this week's real-time analytics news: Informatica and Databricks announced deeper integrations of their respective offerings.
Predictions for 2025: Metrics, Security, and Sustainability
2025 promises to be a turning point for IT metrics, sustainability, and security. Organizations that proactively address these challenges will emerge stronger and more resilient in an increasingly competitive landscape.
How Technology Can Reduce the Rise of Product Recalls
Technologies such as IoT, AI, predictive analytics, and QMS are providing essential tools to help combat quality issues and reduce product recalls.
Autonomous Drones Inspect Offshore Wind Turbines
The solution enables autonomous inspections of offshore wind turbines using off-the-shelf drones, reducing costs for energy operators.
Electric Vehicle Innovation on Display at CES
The new electric vehicle technologies showcased at CES provide a glimpse of what is possible in the coming years.
Thermal Management: The X Factor in Electric Vehicle Design
For manufacturers, mastering EV thermal management through design innovations is not just a technical necessity but also a competitive advantage.
Digitalization Still a Work in Progress for Two-Thirds of Manufacturers
The slow pace of digitization was tracked in a survey of 600 executives published by Parsec Automation. The survey found that only about one-third (32%) say they have completed their digital transformation initiatives.
Real-time Analytics News for the Week Ending January 11
In this week's real-time analytics news: Multiple companies partner to improve advanced auto safety features using AI and other emerging technologies.
Predictive Analytics in Parcel Shipping: Transforming Challenges into Opportunities
Use of predictive and prescriptive analytics is fast becoming a necessity for sellers and shippers looking to maintain service levels while lowering expenses.
2025 Predictions: Year of the Commoditization of Large Language Models (LLMS)
The accelerated adoption of large language models (LLMs) is shifting from experimentation to operationalization, fueled by cost reductions, advancements in symbolic knowledge generation, and a focus on energy-efficient AI.
With AI Agents on the Scene, Structured Data is Back in Vogue
AI agents offer a way to move beyond batch-processing systems, which are often used to get structured data into data pipelines.
Maximizing Operational Efficiency with Condition-Based Maintenance
For those industrial organizations in the early stages of a digital transformation, condition-based maintenance represents a significant step forward. It can help enhance operational efficiency, reduce costs, and improve safety.
Will vPLCs Help Industries Meet Automation Demands?
vPLCs offer a shift from traditional hardware-dependent systems to software-centric solutions. Industry analysts expect them to gain traction in the coming years.
Edge Computing Set to Dominate Data Processing by 2030
Edge computing is poised to surpass centralized data centers as the primary data processing hub, fueled by AI demands and a surge in localized content needs.
Data Observability 2.0: Moving Beyond Traditional Monitoring to Ensure Enterprise Data Quality
Enterprise data quality needs sophisticated, proactive data management approaches that leverage observability data (e.g., data lineage) to automatically apply monitoring, identify data quality issue impacts, and summarize observability insights using Generative AI.
Why Has Industry 4.0 Fallen Short? Addressing the Gaps in Industrial Transformation
Keys to Industry 4.0 success: Aligning digital transformation initiatives with clear business goals and investing in both technology and people.
Amazed by Real-time Applications? Thank the Computer Gaming Industry
Modern gaming systems, which employ real-time graphics, ray tracing, and user interface technology, are driving new innovations in real-time processing.
AI and DevOps Predictions for 2025: Innovations Driving Transformation
2025 will be defined by advancements in AI, DevOps practices, and data management solutions. Organizations that embrace innovation while addressing security and talent challenges will set themselves apart as leaders in an ever-evolving digital world.
The Essential Role of Data Lineage in Enterprise Data Observability
Data lineage has evolved from a compliance tool into a key enabler of data reliability and trust. By making lineage a central part of their observability practices, organizations can resolve issues faster, improve operational efficiency, and build trust in the decisions driven by their data.
Using Neural Networks in Agriculture
Neural networks help growers to turn satellite images into clear, actionable maps for data-informed decisions on sustainable food production and environmental care.
Navigating the LLM Evaluation Metrics Landscape
Evaluation metrics that examine language quality, LLM task-specific criteria for evaluating certain tasks, and human evaluations are the three broad categories of evaluations that can gauge an LLM’s performance and accuracy.
Bridging the Financial Divide: The Future of Decentralized and Traditional Finance Integration
The future of finance, especially global finance, is not on the horizon — it’s happening now. Countries and Institutions that embrace interoperability, real-time compliance, and quantum-resilient security are positioning themselves as leaders of this transformation.
HITRUST Launches AI Security Certification to Address Emerging Risks
A new AI Security Certification from HITRUST provides organizations with a robust framework to address AI-specific risks and demonstrate their security commitment to stakeholders.
Your New Goal: Human and AI Synergy in Customer Interactions
By prioritizing data literacy, investing in education, and continually reassessing the role of humans in an AI-driven world, companies can achieve a productive balance between technology and human creativity.
Driving Innovation: Accelerating EV Development with Virtual Engineering
By leveraging a CVDE, automakers can accelerate their EV development timelines, ensure compliance with safety and regulatory standards, and deliver high-quality vehicles that meet the needs of today’s discerning consumers.