How does JOPAZ free up z/OS capacity without changing COBOL source? See the technical demo: COBOL-to-Java bytecode, zIIP execution, database access, and remote debugging in Eclipse. 📅 Oct 29, 10:00 am CET Register: bit.ly/4ydvVjD

Nissan Europe is modernizing on that foundation with Adabas Cluster Services, Event Replicator, NaturalONE, and Natural for zIIP. Performance up 100%. Runtime up 30%. True 24/7 production. See how: bit.ly/3TO6Ihv

10 years as a NASCIO member! 🏆 Thank you for a decade of learning from state CIOs and IT leaders, and for the relationships built along the way. Their priorities guide how Adabas & Natural, JOPAZ, and CONNX help agencies maintain critical systems and modernize. 🤝

Upgrade or a risky rewrite? There's a third option. See how teams cut COBOL workloads on the general processor by up to 80%, with no code changes. 🎥 On demand now: bit.ly/3UsHyW1

Heading to IBM TechXchange 2026? Two things to do: 🔹 Wed, Oct 28, 11:00 AM: Demos Economacos on streaming mainframe data into Apache Kafka [TLK-3088]. 🔹 Booth #173: live CONNX demo, watch mainframe data land in a BI tool without moving it. Plus a shot at our prize giveaway.

Most batch problems are peak problems, not capacity problems. Redistribute COBOL workloads off the general processor to flatten GP peaks, stay under R4HA limits, and keep batch windows predictable. No application changes. Learn more: bit.ly/4y4uMKY

⏰ #OpenVMS Bootcamp is almost here! Join us on Oct 28 at 4:30 PM in Portsmouth, NH, for a live CONNX demo: real-time access and CDC for your RMS, Rdb and CODASYL data, with no app changes. 🔗 Register: bit.ly/4hHAPAt

Recompiling just 10% of COBOL programs with JOPAZ can reclaim 90% of the batch CPU. Same IDEs. Same process. Same source. Only the execution path changes. Learn more: bit.ly/4xJSXyk

Data projects rarely stall on the easy systems. They stall on the one hard one. Whether it's VSAM, RMS, or IMS, CONNX connects to your data wherever it lives, through standard SQL. Learn more: bit.ly/4zb4XKc

A claims agent approved a payout on a policy that had been canceled 11 minutes earlier. The model did nothing wrong. But its data was 12 minutes out of date. Learn why enterprise AI can't reach the data that actually runs your business: bit.ly/4ikw9zJ