Systems | Development | Analytics | API | Testing

Saugata Saha on Data, AI, and What's Next for Qlik

Aug 12, 2026 By Qlik In Qlik
Qlik CEO Saugata Saha sits down with Jessica DuBois, Senior Director of Global Tech Partners, for his first external conversation since joining the company. Saugata discusses what drew him to Qlik, the opportunity he sees at the intersection of data and AI, and why bringing increasingly capable AI together with trusted, governed data remains one of the most important challenges facing organizations today.
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Ep 85 | Enterprise AI Success: What Separates Results from Expensive Experiments

Aug 12, 2026 By Cloudera, Inc. In Cloudera
Most enterprise AI use cases still aren't delivering measurable value. So what separates the projects that work from the ones that quietly disappear? For Mark Ritcey, the answer comes down to disciplined execution. AI programs need a clear business problem and an organization prepared for how the technology changes the way work gets done. In this episode of The AI Forecast, Paul Muller sits down with Mark Ritcey, Vice President of AI and Automation Delivery at Latentbridge and lecturer on AI and machine learning, to examine the decisions that shape enterprise AI success.
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smartbear

One interface for API contracts, test coverage, and production signal: Build AI quality workflows with the SmartBear MCP Server on Amazon Bedrock AgentCore

Aug 12, 2026 By Matt Bonner In SmartBear
For decades, the software development lifecycle (SDLC) gave engineering teams a common framework. Requirements became designs. Designs became code. Teams tested, deployed, monitored, and improved it.
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nodesource

Owning the Agentic SDLC: How NodeSource Reclaimed Control of AI Development

Aug 12, 2026 By Adrián Estrada In NodeSource
TL;DR: When AI-assisted development moved from autocomplete to agentic workflows, the bottleneck for our engineering velocity stopped being the model and started being the vendor. Owning our own orchestration layer, running the same upstream agent stack across multiple developer surfaces, wrapping every change in a version-controlled spec, and treating the agent calls themselves as first-class telemetry is what made spec-driven development practical for us at NodeSource.
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qlik

Saugata Saha on Data, AI, and What's Next for Qlik

Aug 12, 2026 By Qlik In Qlik
Qlik’s new CEO discusses why he joined the company, the opportunity he sees at the intersection of data and AI, and what customers and partners can expect from his leadership. Qlik CEO Saugata Saha recently sat down with Jessica Dubois, Senior Director of Global Tech Partners, for his first external conversation since joining the company.
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tricentis

Why performance validation is an infrastructure issue, too

Aug 12, 2026 By Annie Millerbernd In Tricentis
At Datadog DASH in the spring, the Tricentis NeoLoad team met folks in all types of roles – developers, test engineers, CoE leads, and SREs – and one recurring theme we found was that SREs often didn’t know much about how performance validation happens at their companies. That’s a fair division of labor. Seemingly, the performance team’s work would be related but not mission-critical to the infrastructure team’s. But that’s not entirely true.
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loadfocus

Cloud-Based vs On-Premise Website Monitoring: Which Approach Wins in 2026?

Aug 12, 2026 By LoadFocus In LoadFocus
Website monitoring often feels like choosing between casting a net or wielding a spear. Cloud-based monitoring is your fishing net: you deploy it broadly, covering vast swaths of digital water, capturing issues wherever they occur. It’s automated, relentless, and covers every corner of your online presence, from global uptime to minute performance blips. On the other hand, on-premise monitoring is the spear – deliberate, targeted, and controlled.
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integrate

Best GDPR Data Mapping Tools (2026): Requirements + Top Picks

Aug 12, 2026 By Donal Tobin In Integrate
GDPR data mapping has evolved from a one-time documentation exercise into continuous operational reality. With €7.1 billion in cumulative fines and regulators increasingly scrutinizing actual data practices versus paper compliance, organizations need tools that provide genuine visibility into where personal data lives, how it flows, and who processes it. The critical gap in most "GDPR compliance software" is that they help you document compliance without actually scanning your data infrastructure.
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integrate

Database Mapping Explained: Techniques, Tools, and Real Examples

Aug 12, 2026 By Donal Tobin In Integrate
Database mapping sits at the core of every successful data integration, migration, and ETL project. It's the blueprint that determines whether your customer records, sales figures, and operational data arrive accurate and usable, or quietly broken. With organizations managing dozens of data sources in mid-market environments, getting database mapping right has become essential for maintaining data integrity across increasingly complex tech stacks.
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hitachi vantara

Manage by Exception, Not by Exhaustion

Aug 12, 2026 By Nick Loy and Sushant Sawant In Hitachi Vantara
Ask any storage team what has changed over the last five years, and you'll hear a version of the same answer: everything grew and became more complex all at once. More applications, more data, more platforms, more places for a problem to hide. Complexity outpaced the teams meant to manage it. The staffing math makes it worse. Two-thirds of data center operators now struggle to hire or retain qualified staff.
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