%term

Healthcare Revenue Cycle Management Software: Architecture, Development Steps, Costs

Apr 14, 2026 By Nikunj Patel In Zymr

let ‘s be real, the financial side of healthcare is a mess. For patients to schedule appointments and insurers to disburse the final reimbursement, the financial process must work seamlessly. When these systems work on a disconnected workflow, delays are bound to happen. To top it all, the sheer volume of patient data doesn't make the job easier. Its not about just losing money but also about losing patients’ valued time. It is important to have a centralised system.

Read Post

Zymr

Read more about Healthcare Revenue Cycle Management Software: Architecture, Development Steps, Costs

Introducing Kong Agent Gateway: The Complete AI Gateway for Agent-to-Agent Communication

Apr 14, 2026 By Alex Drag In Kong

Kong Agent Gateway Is Here — And It Completes the AI Data Path You had a request going to a model, a response coming back, and a gateway in between to enforce policy. With the right solutions, this becomes manageable pretty quickly.. That world is over. Today's agentic architectures look nothing like that. Agents are delegating tasks to other agents via A2A. These other agents are producing and consuming event streams.

Read Post

Kong

Read more about Introducing Kong Agent Gateway: The Complete AI Gateway for Agent-to-Agent Communication

Govern the Full AI Data Path with Kong AI Gateway 3.14

Apr 14, 2026 By Greg Peranich In Kong

The shift from single-model AI features to multi-agent pipelines is no longer a future concern — it's running in production today. MCP has become the de facto protocol for tool-calling, agent-to-agent (A2A) communication patterns are proliferating, and enterprise teams are wiring together complex AI workflows that span multiple providers, services, and agents. Every hop in that data path is an opportunity for something to go wrong. The challenge is governance.

Read Post

Kong

Read more about Govern the Full AI Data Path with Kong AI Gateway 3.14

Automate Document Extraction Across Any Layout or Format | Astera ReportMiner

Apr 14, 2026 By Astera Software In Astera

Most enterprises spend 80% of analysts' time just extracting data from documents. Formats change. Vendors switch layouts. Templates break. Astera ReportMiner handles document variability automatically. It converts documents into structured, system-ready data regardless of layout without any manual effort. Teams get their time back. Data flows into downstream systems reliably. This video tells how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.

View Video

Astera

Analytics

Read more about Automate Document Extraction Across Any Layout or Format | Astera ReportMiner

Your Customers Want AI Analytics. Tableau's Architecture Says No.

Apr 14, 2026 By InsightSoftware In InsightSoftware

Tableau Next launched as a cloud-only platform on Salesforce Hyperforce. Every generative AI capability on Tableau’s roadmap runs through Salesforce Data Cloud. But for ISVs serving healthcare, financial services, or any customer operating under regulations like GDPR, HIPAA, or DORA, this locks them out completely.

Read Post

InsightSoftware

Read more about Your Customers Want AI Analytics. Tableau's Architecture Says No.

How to give AI Agents secure access to systems (with remote MCP servers)

Apr 14, 2026 By LensesIO In Lenses

AI agents need access to your systems. But are you sure they're accessing them securely? In this video, Tun @DataSurfer breaks down the way most teams give AI agents access today: static API keys, shared credentials, no audit trail. It's a disaster waiting to happen, but what exactly can teams do about it?

View Video

Lenses

Read more about How to give AI Agents secure access to systems (with remote MCP servers)

Why your AI Agent needs both a key and a map

Apr 14, 2026 By Kaushal Vyas In Bitrise

You asked Claude to generate a bitrise.yml. It came back clean: right steps, reasonable workflow names, valid YAML. You almost merged it. Then you noticed it’s using before_run instead of step bundles. There are no version locks on steps. The triggers are structured in a format Bitrise deprecated months ago. It’s a valid config, but it would never pass code review. The quality of an agent's interaction with your CI/CD comes down to two things: what it can do and what it knows.

Read Post

Bitrise

Read more about Why your AI Agent needs both a key and a map

The Unified Data Layer: How Intelligent Test Automation Gets Smarter with Every Test

Apr 14, 2026 By Huyen Nguyen In Katalon

Before your team invests in any AI testing capability, there is one question worth asking plainly: does this platform get smarter the more you use it, or does it start from scratch every single time? The term "intelligent test automation" is used generously across the industry right now. Nearly every testing tool has added AI features: auto-generated test cases, smart locator healing, suggested assertions, anomaly detection. But intelligence, in any meaningful sense, requires memory.

Read Post

Katalon

Read more about The Unified Data Layer: How Intelligent Test Automation Gets Smarter with Every Test

Introducing Katalon True Platform: AI Agents for the Full Testing Lifecycle

Apr 14, 2026 By Ajith K. P. In Katalon

Software testing has a fragmentation problem. Most teams run test generation in one tool, execution in another, defect tracking in a third, and pull together release decisions from whatever they can stitch together at the last minute. Every handoff between tools is a gap where context gets lost, work gets duplicated, and quality suffers. Katalon True Platform closes those gaps.

Read Post