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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
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Sponsored Content

Securing Time Synchronization: The Overlooked Control in Modern Cybersecurity

Time synchronization plays a critical role in securing modern systems, underpinning everything from log integrity to threat detection and compliance. This article explores why time integrity should be treated as a core control in Zero Trust and cybersecurity strategies.

Engineering the Real-Time Backbone

Powering Smart Cities: Designing Rugged PoE for Outdoor and Industrial Edge Deployments

As smart city and industrial deployments expand, infrastructure must withstand harsh environments while maintaining reliable connectivity and power. This article examines how ruggedized PoE design supports scalable, resilient edge networks across outdoor and distributed systems.

Engineering the Real-Time Backbone

Why Real-Time Systems Fail When Infrastructure Layers Fall Out of Sync

Real-time readiness depends on coordinated trusted time, storage acceleration and edge infrastructure that can maintain accuracy, performance and uptime under load, disruption and distributed deployment conditions.

Engineering the Real-Time Backbone

The Future of Real-Time Infrastructure: Trends Shaping Intelligent Systems

This trend report explores how trusted timing, predictable storage performance and resilient edge infrastructure are converging into a system-level foundation for real-time operations.

A vintage silver pocket watch swinging like a pendulum with motion blur against a black background.

Real-Time Analytics

Analytics

Real-time Analytics News for the Week Ending September 26

In this week’s real-time analytics news: Teradata announced a major evolution of Tera, transforming it into an agentic coworker for enterprise data work.

Salvatore Salamone

Sep 27, 2026

Analytics

Real-time Analytics News for the Week Ending September 19

In this week’s real-time analytics news: MLCommons announced new results for its industry-standard MLPerf Inference v6.1 benchmark suite.

Salvatore Salamone

Sep 20, 2026

Real-Time Decisions

Real-time Analytics News for the Week Ending September 12

In this week’s real-time analytics news: Tools to help enterprise AI agents work better and more efficiently are on the rise.

Salvatore Salamone

Sep 13, 2026

Analytics

Real-time Analytics News for the Week Ending September 5

In this week’s real-time analytics news: MLCommons announced the results of its MLPerf Storage v3.0 benchmark suite tests.

Salvatore Salamone

Sep 6, 2026

Analytics

Real-time Analytics News for the Week Ending August 29

In this week’s real-time analytics news: Partnerships and the building out of ecosystems reflect a maturing of the AI industry.

Salvatore Salamone

Aug 30, 2026

Analytics

Real-time Analytics News for the Week Ending August 22

In this week’s real-time analytics news: Snowflake announced dynamic model routing within Cortex AI Gateway.

Salvatore Salamone

Aug 23, 2026

Latest Articles

Edge Computing

From Sovereignty to Scale: How a Network Layer Transforms AI at the Edge

Strategic edge deployments are becoming increasingly crucial to sustaining the future of AI at the enterprise level. Such an approach offers a way to improve model performance, maximize the returns of AI investments, and allow for deployment in hyper-sensitive use cases.

Kevin Cochrane

Sep 15, 2026

Artificial intelligence technologies

The Democratization of AI: Why No-Code Is the Bridge Between AI Capability and Business Execution

The next stage of AI democratization offers powerful capabilities to more people. No-code platforms make those capabilities usable inside real business processes.

Jeff Kuo

Sep 10, 2026

Artificial intelligence technologies

Why Telemetry Pipelines Are the Next Enterprise Control Plane

AI introduces new categories of telemetry requirements: instrumenting and collecting for AI workloads, capturing prompt and response data, evaluating model effectiveness, and enforcing compliance around what data is being transmitted to which models.

Mike Kelly

Sep 9, 2026

Artificial intelligence technologies

Exploring the Sovereign AI Aspects of Inference Servers

To meet performance and latency demands, enterprises are placing AI inference servers closer to the data and users. The location of a server often introduces sovereignty issues.

Salvatore Salamone

Sep 7, 2026

Real-Time Decisions

Why Bigger AI Models Don’t Always Deliver Better Cybersecurity Outcomes

As AI becomes more embedded in real-time security workflows, the right model for any job is the one that helps teams make better decisions faster, with less noise, fewer false assumptions, and clearer paths to action.

Robert Johnston

Sep 3, 2026