Percona’s Post

In today’s AI-driven world, data engineering is crucial for turning vast amounts of data into actionable insights. A recent article highlights how companies like Airbyte and Zilliz are revolutionizing data management, ensuring that AI models are built on reliable and well-structured datasets. Investing in data engineering not only streamlines data processes but also enhances AI performance. As we move forward, those prioritizing data infrastructure will lead the pack! 🔗 Read more here: https://lnkd.in/g-kxAa_z #DataEngineering #AI #BigData #Innovation

#AI unlocks the opportunity for #organizations to extract more value from their #data, and to do so more efficiently, but this can’t happen by itself. #Dataengineers will need to learn how and where to apply the #technology, along with which models and tools to use in which situations

The big data world has been no stranger to change over the past decade and AI is set to change the industry even further. For example, the importance of having high quality data to feed AI can’t be understated which is putting pressure on data management teams. In turn, this is causing them to increase their recruitment to bring on team members who can handle the task. More here: https://bit.ly/3QLW9a4 #DataEngineering #AI #BigData

As we navigate through 2024, the journey of AI is evolving from mere integration to creating real, enterprise-ready solutions. I'm excited to share insights into how AI is being operationalized to deliver tangible business value. Dive into the latest trends, including the critical role of data quality and observability, and how better training practices are driving purposeful AI development. #DataEngineering #AI #DataQuality #DataOps #AITrends #Innovation

Simplifying Data Management: How StorageX Uses AI To Help Developers C. Thomas (Tom) Smith, III - DZone https://bit.ly/498Dkoq #StorageX.ai #BigData #AI #ComputationalStorage #FastIO #ITPT The IT Press Tour 53rd Edition

Success with AI depends upon leveraging the right unstructured data. But how do you do that, with petabytes of data spread across multiple storage locations and data lakes? You need a way to index all your data and automate the tedious process of tagging it so you can search across silos and move the right data into the optimal storage where it can be ingested by AI tools. Read this blog post from Komprise to learn more. https://buff.ly/4aMmbl8 #Komprise #UnstructuredData #AI

"The top data management trends of 2023 -- generative AI, data governance, observability and a shift toward data lakehouses -- are major factors for maximizing data value in 2024." #datamanagement #datagovernance

💡 Thinking about developing AI? The success of your AI projects hinges on how well you integrate your data. In my new blog post 'The Data Integration Imperative', I explain why it's essential to prioritize data integration before jumping into AI development. #AI #DataStrategy #BigData #DataIntegration Don't let data silos undermine your efforts - get the full picture on building a robust data integration framework here: https://lnkd.in/eHNVyhKK

5 Hard Truths About Generative AI for Technology Leaders https://bit.ly/3TTMtww GenAI is everywhere you look, and organizations across industries are putting pressure on their teams to join the race – 77% of business leaders fear they’re already missing out on the benefits of GenAI. Data teams are scrambling to answer the call. But building a generative AI model that actually drives business value is hard. via DZone AI/ML Zone https://bit.ly/41qvfZp January 11, 2024 at 12:28PM

🤖📊 #AI is revolutionizing data governance! AI tools are enhancing efficiency and accuracy through automated data cataloging and real-time quality monitoring. Discover how AI is transforming data management in large organizations and what it means for engineering projects. 🔗 Read the full article #DataGovernance #Engineering #AI #DataManagement #TechInnovation