Across industries, Houston-based enterprises are facing mounting pressure to operate with greater speed, precision, and foresight. Whether it’s optimizing logistics, enhancing customer experiences, or reducing equipment downtime, one thing is clear: predictive intelligence is becoming essential to staying competitive.

Yet many organizations struggle to scale predictive decision-making due to fragmented data, lagging infrastructure, and siloed workflows. Without a real-time data foundation, even the most promising AI or analytics investments can stall.

Participants joined us for an exclusive executive roundtable dinner where we discussed how forward-looking companies are:

• Using predictive models to reduce operational risk and improve resource allocation
• Breaking down data silos to enable faster, smarter decisions across business units
• Leveraging streaming data to fuel AI-powered automation and enhance responsiveness
• Building agile, scalable architectures that future-proof data investments

In this conversation with senior technology and operations leaders, attendees gained practical insights into turning real-time data into real-world business impact—whether they’re in energy, manufacturing, logistics, healthcare, retail, or beyond.