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ClearML

Maximizing GPU Utilization with ClearML's Dynamic Fractional GPUs: Unleashing the Full Power of Your AI Infrastructure

Jul 1, 2025 By Erez Schnaider In ClearML
In the world of AI, GPUs have become the undisputed workhorses of innovation. From training deep learning models to accelerating agentic workflows, digital twins, and scientific simulations, these powerful accelerators are indispensable. However, the immense computational power of GPUs comes with a significant investment.
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databox

HubSpot Reporting Dashboards Used by Revenue Experts: Real Templates, Pro Tips

Jul 1, 2025 By Ali Orlando Wert In Databox
As a current HubSpot user and veteran of a HubSpot partner agency, I know first-hand how powerful HubSpot is. And they’ve built a lot of great reporting enhancements into the platform over the last few years. And yet – we still hear that even the best HubSpot power users run into limitations (in functionality, pricing, or both).
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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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confluent

Confluent and Amazon EventBridge for Broad Event Distribution

Jul 1, 2025 By Braeden Quirante In Confluent
Confluent has established itself as a leader in event streaming, providing not only a robust platform but also a rich portfolio of pre-built connectors. These connectors act as bridges, effortlessly channeling data between a multitude of systems, from databases and applications to cloud services. This extensive portfolio empowers users to weave together their data landscapes with remarkable ease and flexibility.
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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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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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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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iguazio

13 Best Free Datasets for Call Centers and Telcos

Jul 1, 2025 By Alexandra Quinn In Iguazio
Customer service chatbots and co-pilots and smart call center analysis applications are prime use cases for AI and generative AI. These AI systems and agents can provide real-time recommendations, support customer service at scale, generate insights that can be used in downstream applications to reduce churn and increase revenue, and more. How can customer service organizations grow and optimize their use of data and AI?
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