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confluent

The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents

Apr 3, 2025 By Sean Falconer In Confluent
Artificial intelligence (AI) agents are everywhere. Salesforce has Agentforce, Google launched Agentspace, and Snowflake recently announced Cortex Agents. But there’s a problem: They don’t talk to each other. Your customer relationship management (CRM) agent doesn’t know what insights your data warehouse agent has. Your knowledge retrieval agent operates in isolation. Instead of having a connected AI ecosystem, we’re repeating history and creating AI silos.
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qlik

Overcoming the Challenge of Planning & Deploying AI

Apr 3, 2025 By James Fisher In Qlik
We know the role that AI can play in modern business, and the benefits it brings to employees and customers. But launching and sustaining a successful AI project remains a critical challenge for many organizations. Technology leaders across the globe are being tasked with using AI to drive business success, and it is becoming a vital pillar in reaching strategic goals.
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SAP Explainer

Apr 3, 2025 By insightsoftware In InsightSoftware
At insightsoftware, we believe that effective business strategy begins and ends with accessible data. That's why our solutions integrate seamlessly with SAP, turning your complex ERP data into clear, actionable insights. Easily explore your SAP data from every angle across your entire organization. From Excel-based reporting to supply chain optimization, process automation, exchange rate management, tax compliance, and more, insightsoftware gives you the tools to enhance and extend your SAP experience.
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cloudera

3 Elements of a Forward-Looking Data and AI Strategy

Apr 3, 2025 By Pamela Pan In Cloudera
“AI is inevitable, but is your data ready for all AI has to offer?” That was the unspoken question every keynote, panel, and hallway conversation sought to answer at the 2025 Gartner Data & Analytics (D&A) Summit. Gartner’s response was loud and clear: AI can drive incredible value, but without a good data foundation, it’s garbage in, garbage out.
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hevo

Replicating Data from Oracle to BigQuery - Steps Explained

Apr 3, 2025 By Bukunmi I In Hevo
In a time where data is being termed the new oil, businesses need to have a data management system that suits their needs perfectly and positions them to be able to take full advantage of the benefits of being data-driven. Data is being generated at rapid rates and businesses need database systems that can scale up and scale down effortlessly without any extra computational cost.
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snowflake

The Apache Iceberg Avalanche: How the Open Table Format Changes the Face of Data Lakes

Apr 2, 2025 By Carlos Nai In Snowflake
Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew. The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems.
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snowflake

Key Takeaways from Accelerate: How Financial Services and Manufacturing Companies Leverage Data and AI for Measurable ROI

Apr 2, 2025 By Snowflake In Snowflake
For many organizations across industries, the era of experimental AI has given way to the era of practical implementation. Even those companies still testing and evaluating AI solutions are shifting away from the art of the possible to focus more closely on what will soon produce measurable ROI. “It will no longer be enough for your organization to merely use AI to win the approval of company leadership,” says Samuel Lee, Product Marketing Director for Financial Services at Snowflake.
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integrate

12 Best SQL Server ETL Best Practices

Apr 2, 2025 By Donal Tobin In Integrate
In a world where data-driven decisions shape the future of every business, ETL (Extract, Transform, Load) processes are the backbone of operational intelligence. For organizations using Microsoft SQL Server, optimizing ETL pipelines isn't just a technical choice—it’s a strategic imperative. With over two decades in the ETL trenches, I’ve seen what works, what fails, and what silently erodes performance behind the scenes.
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confluent

Shifting Left: How Data Contracts Underpin People, Processes, and Technology

Apr 2, 2025 By Andrew Jones In Confluent
The divide between operational and analytical systems has long resulted in data inconsistencies, unreliability, and redundancies. Without a single, unified source of truth, teams interpret information in their own ways—often after the fact. This can lead to downstream data discrepancies, issues, and distrust. Meanwhile, changes to upstream data structures create ripple effects, breaking downstream systems and requiring manual intervention to fix issues.
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