Systems | Development | Analytics | API | Testing

Ep 39 | Enabling the Future of AI with Donna Beasley

AI can’t transform businesses if organizations aren’t prepared to embrace it. Donna Beasley, Chief AI Enablement Officer, joins The AI Forecast to explore thoughtful AI deployment in an organization. She and host Paul Muller dive into the challenges and opportunities of AI adoption, from ensuring data quality to driving organizational change management. They discuss the importance of collaboration across departments, strategies for overcoming resistance, and the critical role of training and meeting individuals where they are in their openness with AI.

Unlocking the Autonomous Enterprise, with ThoughtSpot CEO

The next generation of analytics is here. In this episode of The Data Chief, ThoughtSpot CEO Ketan Karkhanis explains why AI is the new BI, and the future of analytics is autonomous. Karkhanis shares his vision for the autonomous enterprise, where AI agents act on insights and automate workflows. He also explains why a culture of trust and experimentation is crucial for unlocking AI's full potential. Don't miss this discussion on how to fundamentally rethink how organizations interact with data to drive better business outcomes and build an autonomous enterprise.

Future-proof test automation with Tricentis Tosca and MCP Server

The future of testing is AI-driven, business-oriented, and no-code. Exclusively available for Tosca in the cloud, Tosca’s Model Context Protocol (MCP) Server is a game-changer. It provides a consistent, standardized, and open framework that connects your AI models to Tosca — no need for custom and inflexible API integration. Whether generative, agentic, or any future AI innovation, MCP bridges the gap between AI and QA tools, enabling seamless integration and smarter, faster testing.

HIPAA Compliance Requirements for SaaS Providers: Practical Guide

Imagine a fast-growing SaaS startup finally wins a major healthcare client. Excitement fills the room until they are hit with a reality check: without meeting HIPAA compliance requirements, they can’t legally handle patient data. For SaaS companies, this isn’t just about compliance, it’s about building HIPAA compliant SaaS solutions that clients can trust. Out of nowhere, the deal goes from being an innovation deal to being a survival deal.

Top 5 HIPAA compliant software in 2025

A mid-sized healthcare clinic was suddenly hit with a staggering $2.3 million HIPAA violation penalty. Their mistake? Relying on software that lacked the proper safeguards to protect patient data. Overnight, their reputation crumbled, patients lost trust, regulators stepped in, and the clinic faced years of financial and operational recovery. In 2025, the stakes are even higher.

Modernizing on Your Own Terms: A Strategic Guide to Managing Node.js Legacy Systems

Node.js has moved beyond being a developer favorite, it’s a cornerstone of the digital economy. Today, it powers tens of millions of applications globally, and it underpins mission-critical systems at companies like Netflix, PayPal, Uber, and NASA. The foundation of this success is its asynchronous, event-driven architecture, designed to handle thousands of concurrent connections efficiently. From e-commerce platforms to video calls to real-time analytics, Node.js enables responsiveness at scale.

Q&A: How Bitrise helps Apadmi drive loyalty, scale, and mobile success for its clients

As consumer expectations rise, loyalty is becoming a top priority. In fact 67% of brands plan to significantly increase investment in strengthening consumer loyalty over the next year, according to a recent report by Apadmi, Europe’s leading digital product consultancy and longstanding Bitrise customer.

Event Schema Evolution for API Gateways

Managing event schema evolution is a key challenge for API gateways, especially in systems relying on real-time data and microservices. Schema evolution ensures that updates to data structures remain compatible with existing integrations, preventing issues like service outages or data corruption. The article explores methods to handle schema changes effectively and highlights DreamFactory’s automated solution.

The Story Behind Forecasts: Why We're Rebuilding It (and What We're Learning)

When I took over the forecasting feature at Databox, one thing was clear: users weren’t adopting it the way we’d hoped. To change that, we made several improvements based on user feedback. We added support for seasonality and holidays. Introduced a confidence score to help teams understand how reliable their projections were. And made it possible to save forecasts for future comparison. Each update made the feature more powerful, but even with all those changes, adoption barely moved.