Systems | Development | Analytics | API | Testing

AI-Ready DataOps: Rethinking MDS for LLMs

Aug 22, 2025 By Hevo Data In Hevo
AI is changing how data teams operate. Is your pipeline ready? Today, data isn't just powering insights, it's fueling real-time decisions and AI/ML models. That means teams now face stricter requirements around data freshness, reliability, orchestration, and delivery speed. In this webinar, Hugo Lu, Founder & CEO at Orchestra will explore what it really means to build AI-first data operations & how leading data teams are adapting their infrastructure, workflows, and tooling to support this new era of model-driven development.
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Week 3 CFO Masterclass: Building Predictive Intelligence in Finance

Aug 22, 2025 By insightsoftware In InsightSoftware
Discover how finance teams can move beyond static reporting with predictive intelligence! In this masterclass preview, see how your team can evolve into proactive advisors by leveraging leading indicators and predictive insights. Watch our Week Three Masterclass and dive deeper with the full blog: “Beyond Financial Statements: Building Predictive Intelligence” for strategies to revolutionize your finance workflows.
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dreamfactory

Real-Time AI at Scale: The New Demands on Enterprise Data Infrastructure

Aug 22, 2025 By Kevin McGahey In DreamFactory
Real-time AI is transforming how businesses process and use data, demanding faster, more reliable, and scalable infrastructure. Unlike older batch processing systems, real-time AI provides instant insights for applications like fraud detection, personalized recommendations, supply chain adjustments, and predictive maintenance. However, scaling these systems introduces challenges like managing massive data streams, ensuring low latency, and maintaining security.
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kong

Announcing terraform-provider-konnect v3

Aug 22, 2025 By Michael Heap In Kong
It’s been almost a year since we released our Konnect Terraform provider. In that time we’ve seen over 300,000 installs, have 1.7 times as many resources available, and have expanded the provider to include data sources to enable federated management of your Konnect organization. There have been many changes in the last year, but there are some changes that we’ve been holding off on as they would break your CI/CD pipelines.
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confluent

Using Webhooks to Integrate Confluent Cloud and Microsoft Teams

Aug 22, 2025 By Jamsrandorj Dagvadorj In Confluent
Data streaming equips modern organizations to rapidly ingest and understand new information and use it to solve real-world problems at scale. For some of these real-time insights—critical operational cues that demand a timely response—delivering that information directly to your team’s inbox is the best way to act on it.
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alphabin

Best Chatbot Evaluation Platforms in 2025

Aug 22, 2025 By Pratik Patel In Alphabin
Think about launching a new AI chatbot for the company. After a short period, it is providing customers with inaccurate information about your return policy. Within hours, you receive customer complaints, and the customers are annoyed. Your support team is trying to address the technology-induced chaos caused by the AI chatbot. This is happening far more often than you might think, simply because a large number of businesses skip a proper chatbot evaluation platform before deploying their bot.
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katalon

G2 Names Katalon a Leader in AI Software Testing

Aug 22, 2025 By Katalon In Katalon
ATLANTA, GA – August 21, 2025 - Katalon, the AI-native testing company redefining how software teams deliver quality at scale, has been named a Leader in G2’s newly launched AI Software testing category. The recognition affirms Katalon’s position as the strategic partner for global enterprises under pressure to release faster, reduce risk, and deliver reliable digital experiences in the AI era.
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katalon

Rethinking Coverage - What to Measure When You're Not Testing a Flow

Aug 22, 2025 By Katalon In Katalon
Traditional test coverage focuses on code paths and user flows but agentic AI doesn’t follow flows. It reasons, adapts, and improvises. That means your 95% coverage report might look solid while the system still makes unsafe, biased, or unexpected decisions. To test these systems, coverage must evolve: you now measure things like goal alignment, reasoning paths, tool usage patterns, memory accuracy, and failure behavior.
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