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appian

Fast, Fair, and Frictionless: Reinventing Claims with AI and Workbenches

Jul 2, 2025 By Karlyn Carnahan In Appian
In insurance, the claims process is the real “moment of truth.” It's when customers find out if their insurer is truly there for them. They don’t just want fair treatment—they also expect their claims to be handled quickly and easily. But the reality? Claims often take way too long because of outdated, clunky processes. And the growing tsunami of data needed to adjust a claim can create information overload for an adjuster.
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logilica

Boost Insights with Logilica's AI Advisor

Jul 2, 2025 By Alice Cui In Logilica
In today’s data-driven environment, there is truly no end to the overwhelming amount of information that both contributors and users have access to. People often spend hours combing through logs trying to piece information into usable goods. This turns what could be swift, data-driven decisions, into time-consuming challenges that slow down innovation.
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astera

Presenting Astera AI: The Agentic Data Stack For Your Enterprise Data Management

Jul 2, 2025 By Raza Ahmed Khan In Astera
As enterprise data increases in volume, variety, and velocity, the need for a new data architecture is becoming clearer. As AI moves from generative to agentic, can enterprises also envision and adopt an agentic data architecture? It’s true that we’re already seeing AI agents implemented in functions such as customer support and marketing. But what if we could do the same for data management?
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smartbear

From Hours to Seconds: How QMetry Uses AI to Redefine Test Case Creation

Jul 2, 2025 By Klaudia Makiej In SmartBear
Testing has evolved far beyond scattered spreadsheets and disconnected tools. Yet even with modern platforms in place, teams still run into bottlenecks, especially when fundamental tasks like test case creation are handled manually. It involves combing through acceptance criteria, writing out each step, and reviewing everything for gaps. Repeating that across multiple user stories quickly drains time and slows progress – it’s repetitive, time-intensive, and prone to inconsistency.
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The Generative AI Boom: Crafting Tomorrow's Careers Today

The Generative AI Boom: Crafting Tomorrow's Careers Today

Jul 2, 2025 By SystemsDigest In SystemsDigest
Generative AI, once a niche area of artificial intelligence, has exploded into the mainstream, captivating the world with its ability to create everything from stunning images and compelling text to realistic music and functional code. Far from being a job destroyer, this revolutionary technology is proving to be a powerful job creator, forging entirely new career paths and redefining existing ones across virtually every industry. If you're looking to future-proof your career and ride the wave of innovation, understanding how Generative AI is shaping the job market is crucial.
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keploy

Machines That Learn Vs Machines That Imagine: GenAI Vs ML

Jul 1, 2025 By Mohamed ashik In Keploy
Artificial Intelligence(AI) has recently become a hot topic across industries transforming sectors like finance, healthcare, education and research. The two of its subfields are Generative AI and Machine Learning(ML), but both of these terms are often confused for one another. we will explore the difference in purpose, techniques and capabilities and tools like Keploy’s GenAI-powered testing platform makes big difference in software testing.
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qlik

What Agentic AI Demands from Your Data Strategy

Jul 1, 2025 By Brendan Grady In Qlik
If you’re leading a data, analytics, or AI initiative right now, you know the pressure. AI is no longer a future project - it’s a business imperative. Executives want results, boards want differentiation, and the window to deliver is closing fast. That’s why Salesforce’s intent to acquire Informatica should raise serious questions for data leaders. Not just because of what it means for Informatica, but for what it could mean for your AI roadmap.
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qlik

Don't Just Hope Your Data Is AI-Ready - Know It

Jul 1, 2025 By Don Pinto In Qlik
As enterprises double down on AI, there’s a hard truth many leaders are starting to face — they’ve invested in the promise of AI, but they can’t always trust the data behind the predictions. Whether you're training a model, building RAG pipelines, or scaling intelligent automation, AI outcomes are only as reliable as the data feeding them. Yet most organizations still can’t answer a critical question with confidence: Is our data truly AI-ready?
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Unified Data And AI: Elevating Telecom Customer Experiences

Jul 1, 2025 By Snowflake Inc. In Snowflake
In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Soren Marklund, Vice President of Global Services, Technology Consulting, and AI Data Strategy at Ericsson. They explore how Ericsson leverages modern data architectures to enhance customer interactions and drive business benefits. The discussion covers the importance of a unified data operating model, challenges faced with data silos, and the role of AI and machine learning in improving customer service.
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confluent

Developer Experience in the Age of AI: Developing a Copilot Chat Extension for Data Streaming Engineers

Jul 1, 2025 By Lucia Cerchie In Confluent
Three in 4 programmers have tried artificial intelligence (AI). This factoid comes from a recent Wired survey on the habits of engineers with respect to AI tooling like GitHub Copilot. Though Wired used a pool of only around 700 engineers, Gartner’s prediction from a year ago was that 75% of enterprise software engineers would use AI by 2028. To many of us, it’s starting to feel like that’s already happened.
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