How AI adoption is facing data access challenges in 2025

https://lnkd.in/gYKM-QyR I just read this article and it highlights a crucial situation. Having just come back from The Ai Conference in SF it aligns with some of our takeaways... Why AI Projects Fail (Hint: It’s Often the Data) Cloudera makes a bold, yet crucial claim: without access to 100% of enterprise data, AI lacks meaningful ROI. What resonated with me is that Data access is the linchpin. AI isn’t just about models or compute, it’s about ensuring that models see everything relevant, not just what’s already convenient. Akave can link to on-prem, multi-cloud, edge datasets and present them in a unified namespace. In other words, we help you connect to data where it lives. No need to move everything. #akavecloud #datastorage #AI

Enterprises are heavily investing in AI, hoping for a significant transformation across their operations. However, without access to 100% of enterprise data, AI's return on investment may lack depth. Explore more: [Link to the article provided] #AI #EnterpriseTransformation

Enterprise AI adoption has almost reached saturation, with 96% of firms integrating the tech into their core business processes, leading most to report stronger results, according to a new report from Cloudera. https://buff.ly/GzkyKfX #tech #enterpriseAI #AI

Nextdata is redefining data management for the AI era with a major update to its OS that introduces the Data 3.0 paradigm. "In the age of AI, enterprises can't afford business-as-usual data management with months-long delays before data delivers value," said Zhamak Dehghani, Founder and CEO of Nextdata. Read the full news: https://lnkd.in/dXm-HrpQ #DataManagement #AI #DataProducts #DataAnalytics #DataGovernance #MachineLearning #Data3 #Nextdata #TechIntelPro

#AI runs on #metadata. "Organizations should establish a formal data cataloging process for inventorying their data assets and capturing metadata. The readiness of data for AI and GenAI considers the data itself as well as metadata, which helps organizations understand exactly how, when and why data is used." https://lnkd.in/gPVaaiCH

2026: The Year AI Observability Becomes Business Observability The Towards Data Science article calls 2026 the “year of data and AI observability.” That prediction resonates deeply with what we are building at NetGain Systems. As AI models increasingly power critical business decisions, observability is no longer just about keeping systems online. It is also about making sure the intelligence driving them remains reliable, explainable, and secure. At NetGain, our Astra AI framework embodies this shift. It acts as an AI-driven COO for IT operations, turning observability data into structured, actionable insight. With Astra AI, we move from monitoring metrics to understanding intent and correlating system health with business outcomes. From anomaly detection and predictive capacity planning to autonomous remediation, Astra AI enables IT teams to stay ahead of incidents while explaining why they happen. This alignment of data, AI, and operations is what will define next-generation observability. 2026 will not just be the year of data and AI observability. 2026 will be the year where observability becomes inseparable from business performance. 🔍 Read the full piece here: https://lnkd.in/gTEcaT29 How are you preparing your organisation for this convergence of AI and observability? #AstraAI #NetGainSystems #AIObservability #ITOperations #DigitalResilience #AIforIT

The world of enterprise technology is experiencing a seismic shift. For decades, analytics revolved around outputs like dashboards and reports as the primary vehicle for insight. But the rise of agentic AI—in which agents can autonomously analyze, reason, and act—requires us to realign our focus toward something far more fundamental: the semantic data model. 

Enterprise IT vendors are moving to position themselves for the AI era. As subsequent M&A activity picks up, a tendency to bolt together "AI stacks" for IT teams should be challenged. True value from enterprise AI will come from empowering those familiar with the context that makes business processes tick: business users and analysts. In my latest article for @TechRadarPro I discuss how the AI Data Clearinghouse process helps address the root causes of stunted enterprise AI rollouts by empowering businesses to uncover transparent, trusted AI use cases. Read more here: https://lnkd.in/gVqumAfJ

A third of enterprise apps will include agentic AI by 2028. This infographic reveals how to architect intelligent data foundations for AI agents. #AgenticAI #DataArchitecture #AI

A third of enterprise apps will include agentic AI by 2028. This infographic reveals how to architect intelligent data foundations for AI agents. #AgenticAI #DataArchitecture #AI