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WSO2 Appoints Tanmaya Das as CFO to Support Continued Global Expansion

London, UK. 11th June 2026 - WSO2 today announced the appointment of Tanmaya Das as Chief Financial Officer (CFO), further strengthening its executive leadership team as the company continues to build on its momentum and position itself for its next phase of growth. The appointment comes as WSO2 expands its platform strategy for the agentic enterprise, helping organisations securely integrate AI capabilities into complex technology environments while maintaining control over governance, data sovereignty, and digital infrastructure.

The Optimization Paradox

Even if you can see exactly what is wrong with your data platform. Why is none of it getting fixed? A 30-minute conversation on closing the gap between what your dashboards see and what your team can actually get done, across Databricks, Snowflake, and BigQuery. Why it matters Most data teams are not short on insight anymore. The dashboards are full. Cost reports flag cost overruns. Observability platforms catch infrastructure misallocations. New AI assistants will even draft query rewrites for you.

Logi Symphony: "No-Compromise Embedded Analytics

Every product team wants smarter analytics and AI. But for organizations that operate on-premises, in a hybrid-cloud environment, or regulated industries that can’t share protected data on the cloud, this forces them to either migrate or leave intelligence features behind. Can you access advanced analytics features without being boxed into a vendor’s cloud environment? Watch our video to learn: How to access analytics without compromise About tailored analytics experiences in a single platform.

Real Estate Operations Automation: From Manual Processes to Event-Driven Workflows

The biggest operational bottleneck in property management isn’t a lack of technology. It’s the manual coordination required between systems, teams, and processes. Leasing coordinators paste data from the PMS into email threads. Maintenance supervisors scan spreadsheets to find overdue work orders. Accounting teams wait for someone to confirm a deposit before posting. Owner reports get assembled the night before a call because nothing triggers them automatically.

Inside NERSC at Berkeley Lab: How a DOE Office of Science User Facility Is Exploring ClearML for Scientific AI Workflows

NERSC, the mission high-performance computing center for the U.S. Department of Energy Office of Science, is using ClearML as part of the AI infrastructure stack for Perlmutter, the upcoming Doudna supercomputer, and the broader American Science Cloud. Here is a look at what they are exploring and why it matters for AI for science at scale.

Durable Execution meets Durable Sessions: Resilient AI Agents with Temporal and Ably

Most teams building agents with Temporal have solved the backend problem: crashed workflows restart, LLM call failures retry automatically, and long-running tasks complete reliably. What they haven't solved is the client side -- what happens to the stream when the user's connection drops, when they switch devices, or when two sub-agents are working concurrently and the client needs a single coherent view.

The best tools don't force teams to change how they work

They fit into the workflows, processes, and environments teams already have. As Chris Armstrong, Manager of Developer Relations at SmartBear, explains, every organization is on a different stage of its journey. Some are exploring AI. Others are scaling it. Many are managing a mix of legacy systems, modern platforms, and everything in between. What teams need isn't another platform that demands a complete overhaul. They need solutions that respect their context while helping them move forward with confidence.

How is Agentic AI rewriting Retail Banking?

Your customers are no longer comparing you to the bank down the street. They are comparing you to Amazon, Netflix, and every hyper-personalized digital experience they interact with daily. And most banks are losing that comparison. Quite literally! Somewhere between the legacy core systems, the compliance overhead, and the quarterly earnings pressure, a tectonic shift has started. Agentic AI is no longer a concept in a research paper.