Enabling High-Value Use Cases for Industrial Agentic AI Automation
AI agents represent an opportunity to go beyond isolated analytics projects and move toward self-improving, autonomous workflows that directly drive …
How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
AI agents represent an opportunity to go beyond isolated analytics projects and move toward self-improving, autonomous workflows that directly drive …
Scaling AI in industry requires the right technology, a practical understanding of industrial operations, and open interoperability with an organization’s …
Retailers must integrate new data sources, such as real-time social sentiment, search trends, and influencer engagement metrics, into forecasting models that …
Real-time data may be one of the most underutilized tools in the retail industry. With today’s sophisticated AI-powered POS and inventory management systems, …
Manufacturers are entering a phase where AI is less about exploration and more about embedding it into the core fabric of operations.
Guardrails like pre-approved scripts and hard handoffs keep AI agents in check, ensuring outputs stay predictable instead of wandering into
Most industrial organizations now have CEO-driven industrial AI strategies, reflecting a shift from experimentation to enterprise-wide
As AI agents in industrial operations become more capable, MCP could well become the fabric that ties everything
Companies that invest in structuring their first-party data today are laying the groundwork for AI systems that don't just guide work; they do
Discover how adaptive edge intelligence drives real-time fraud detection, network optimization, predictive maintenance, and anomaly detection across