Last chance to register! Join our technical deep dive to learn how to compile existing COBOL batch for execution on zIIP specialty engines, without disrupting applications. October 29, 2026 | 10:00 am CET Save your spot: bit.ly/4ydvVjD

Day 2 at IBM TechXchange 2026: the question we keep hearing is how to make mainframe data useful elsewhere without moving it. That's CONNX in one sentence. Watch our demo for key insights. ➡️ Visit Booth #173 and enter our prize giveaway.

Team Software AG is ready at #IBMTechXchange 2026 in Atlanta! 🙌 Visit Booth #173 for live demos of: 🔹 CONNX: real-time mainframe data access for BI & AI 🔹 JOPAZ: shift batch COBOL to specialty processors Ask us how you can enter-to-win prizes! bit.ly/46ycXsL

Don't guess at capacity. Prove it. Run selected COBOL batch apps with and without JOPAZ, which redistributes COBOL workloads off the general processor. Compare GP impact, then commit. bit.ly/4yH9Hac

Connect the mainframe to the cloud, mobile, and AI, without replacing trusted systems. Explore an integration strategy built on APIs and messaging. Read: bit.ly/4cZtr0F

Missed SLAs, capacity limits, and MLC pressure often share one root cause, which is contention at peak demand. Redistribute COBOL workloads off the general processor and prove the savings before you commit. 👇 bit.ly/3TK3o7i

Workloads growing? Migration isn't the only option. Redistribute COBOL workloads off the general processor to reclaim GP capacity. Same JCL, same scheduling, same security. Here's how: bit.ly/4rFCUjy

Accessing legacy mainframe data for modern analytics isn't easy because complex structures and outdated documentation make rewriting code a struggle. Learn how CONNX lets you seamlessly discover and access legacy data without starting from scratch! ⚡ bit.ly/3VINgnb

Adding GP capacity to fix batch peaks is like widening the highway at rush hour. Redistribute COBOL workloads off the general processor instead: flatter peaks, predictable batch, no code changes. See how: bit.ly/4y4uMKY

Modernize without rewriting a single line of COBOL. Redistribute COBOL workloads off the general processor for more predictable costs and capacity for AI. One energy provider saw 76% batch COBOL CPU savings. Learn more: bit.ly/3U8xO36

Workloads growing? Migration isn't the only option. Redistribute COBOL workloads off the general processor to reclaim GP capacity. Same JCL, same scheduling, same security. Here's how: bit.ly/4rFCUjy

Adabas & Natural isn't mainframe-only. The same apps run on IBM Z, Linux, and the cloud, and you can expose Natural logic as REST/OpenAPI endpoints for web, mobile, and AI apps. No rewrite required. Learn more: bit.ly/4yb6qQ6

At IBM TechXchange 2026, see two ways to get more from your mainframe: 👀 Watch our demos: 🔹 CONNX: real-time access to mainframe data for BI, analytics & AI, with no data migration required 🔹 JOPAZ: redistribute batch COBOL to reclaim GP capacity Win prizes at Booth #173!

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