WEKA’s Post

❓ What's getting in the way of those AI/ML deployments coming to life? 👉 The 2024 #TrendsinAI report results point a finger squarely at legacy data architectures. The 1,500 #AI practitioners and decision-makers surveyed as part of the study showed that today's AI projects are challenged by weak data foundations. Explore these and other compelling findings in the full ungated report: https://weka.ly/3ZoZXTW

Modern data architectures are essential for AI-driven innovation – which is why the flexibility and control of hybrid data platforms has skyrocketed in popularity. Our latest survey explores the state of data architectures today and where IT decision-makers stand in their AI journeys.

How does structured data actually benefit GenAI?" This is a key question in my recent conversation with enterprise architects. If you're navigating the AI landscape, you might also be wondering about: ➙RAG implementation for enterprise LLMs ➙AI-powered database schema generation ➙Structured data's role in GenAI success Our team has just launched a Q&A section addressing these topics and more. Check it out here: https://lnkd.in/dJip6Sh2 Have a different AI infrastructure question keeping you up at night? Share it in the comments - we're continuously expanding our knowledge base with real-world scenarios #ArtificialIntelligence #GenerativeAI #EnterpriseAI #DataInfrastructure #RAG #TechInnovation

𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗦𝗶𝗹𝗶𝗰𝗼𝗻 𝗜𝗻 𝗙𝗼𝗰𝘂𝘀 𝗣𝗼𝗱𝗰𝗮𝘀𝘁: 𝗙𝗲𝗲𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 🖇️ https://lnkd.in/d9gucbMF In this episode, we explore the pivotal findings from Cloudera’s latest survey, "Data Architecture and Strategy in the AI Era," conducted by Foundry Media. This comprehensive survey, polling over 600 data leaders and senior IT decision-makers, sheds light on the current state of modern data architectures and the significant impact of AI on data strategies. A standout revelation is that 90% of IT leaders believe unifying the data lifecycle on a single platform is crucial for effective analytics and AI. This underscores the growing recognition that reliable AI insights depend heavily on the quality and integrity of the data that fuels them. 🖇️ https://lnkd.in/d9gucbMF

Cloud and hybrid on-prem options give Cloudera customers the flexibility to build and deploy AI solutions where it is best.

Modern data architectures are essential for AI-driven innovation – which is why the flexibility and control of hybrid data platforms has skyrocketed in popularity. Our latest survey explores the state of data architectures today and where IT decision-makers stand in their AI journeys.

Delivering business outcomes and building high quality AI models typically involve integrating information from multiple sources but also introduce complexity. In support this, Cloudera technology delivers on the promise of the following three things to meet the needs of enterprise AI: a modern data architecture; unified data management; and versatile, secure data platforms. #enterpriseai #cloud #moderndataarchitecture #securedata #secdevops #hybridcloud

𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗦𝗶𝗹𝗶𝗰𝗼𝗻 𝗜𝗻 𝗙𝗼𝗰𝘂𝘀 𝗣𝗼𝗱𝗰𝗮𝘀𝘁: 𝗙𝗲𝗲𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 🖇️ https://lnkd.in/d9gucbMF In this episode, we explore the pivotal findings from Cloudera’s latest survey, "Data Architecture and Strategy in the AI Era," conducted by Foundry Media. This comprehensive survey, polling over 600 data leaders and senior IT decision-makers, sheds light on the current state of modern data architectures and the significant impact of AI on data strategies. A standout revelation is that 90% of IT leaders believe unifying the data lifecycle on a single platform is crucial for effective analytics and AI. This underscores the growing recognition that reliable AI insights depend heavily on the quality and integrity of the data that fuels them. 🖇️ https://lnkd.in/d9gucbMF

GenAI is business-ready, but is your business GenAI-ready? AI’s data demands are enormous, often requiring new software and hardware to succeed. Businesses should prepare by ensuring their data architecture is seamlessly integrated and adaptable. Next, they need to evolve their data storage setup, which may involve connecting silos and harmonising data lake and data warehouse architecture. The four key trends for data management in 2024 are adaptable data architecture, strategic data storage choices, innovative data engineering for integration, and comprehensive deployment practices. A good read! #AI #dataengineering #digitaltransformation

How do we address increasing data center modularity and distribution while supporting the DCI deluge that is already here and will be sustained in part by accelerating AI/ML utilization? Speed up, spread out, and stack it. Find out more from Infinera’s Tim Doiron on Data Centre & Network News: #DataCenter #DCI #AI