Matillion’s Post

💡 Did you know that 66% of enterprise data is still 'dark,' untapped, and unstructured? That's a massive untapped resource, especially as 96% of CxOs believe that generative AI will be critical for future success. At Google Cloud, we're not just talking about AI – we're making it actionable. In 2023 alone, we launched over 350 new data analytics capabilities, including integrating BigQuery with Vertex AI and Gemini models. This isn't just about managing data; it's about transforming how we interact with it, turning complex datasets into real-time insights. Imagine being able to chat with your data, generate insights from text, images, and videos, or even auto-generate SQL queries. The future of data and AI isn't just coming – it's here. Are you ready to unlock the full potential of your data? Let’s talk about how AI-ready data platforms can transform your business. Feel free to comment or reach out directly – I’d love to hear your thoughts! 🚀 #AI #DataStrategy #GoogleCloud #BigQuery #Innovation #DigitalTransformation https://lnkd.in/ea_8kEjU

Data Zone deployments are coming next month for Azure OpenAI, allowing you to leverage models available across multiple regions while staying within a prescribed data boundary as per data residency requirements! Starting with 2 data zones, one for US, and one for EU. More details below.

A powerful approach from Microsoft to unlock more context through a simplified worflow and toolset.

I am thrilled to announce that I have earned the Azure Data Scientist Associate certification from Microsoft! 🌟 This achievement signifies a significant milestone in my journey as a data scientist. The certification process has equipped me with the skills and knowledge to design and implement scalable, reliable, and secure data science solutions on Microsoft Azure. #Azure #DataScience #MicrosoftCertified #DataScientist #AzureDataScientist #MachineLearning #AI #BigData #CareerGrowth #ContinuousLearning

🎉 Exciting Times Ahead! 🚀 After years of diving deep into the world of Data Engineering on the Google Cloud Platform, I’ve had the privilege of working on some incredible projects with tools like Dataflow, Pub/Sub, BigQuery, Cloud SQL, and more. As we move into a new year, I’m reflecting on how data has transformed decision-making and innovation across industries. The question I’ve been pondering is: "What will the next big challenge in data engineering be in 2025?" I’m eager to hear your thoughts! Is it about scaling pipelines, integrating AI/ML, or something completely new? Let’s connect and share ideas. 🚀 Cheers to building smarter solutions together! #DataEngineering #Innovation #TechTrends

Introducing Azure OpenAI Data Zones! From Day 0, Azure OpenAI provided data residency with control of data processing and storage across our existing 28 different regions.  Today, we are announcing Azure OpenAI Data Zones for the European Union and United States. Customers seeking the flexibility of Azure OpenAI's Global offerings combined with data residency controls can now explore Azure Data Zones. This new feature simplifies generative AI application management, deployment and scaling by offering regional data processing with data residency, providing customers easier access to models and higher throughput. Learn more: https://lnkd.in/geMtcrC7 #AzureAI #AzureOpenAI #EnterpriseTrust #TrustworthAI

Data Zones - another poweful capability from Azure OpenAI which would enable enterprises to create boundaries around where data is processed by Azure OpenAI. The article also covers other key security features like private endpoints, managed identities, responsible AI etc..

🚀 Excited to share that I've completed the Data Engineering, Big Data, and Machine Learning on GCP course! 🎓  Diving deep into essential tools and concepts shaping the future of data science. 🔍 Explored BigQuery for lightning-fast insights, mastered Looker Studio for dynamic visualizations, and streamlined workflows with Vertex AI. Built robust ETL pipelines using Dataproc and Dataflow, monitored operations seamlessly, and leveraged Pub/Sub for real-time messaging. Grateful to #GoogleCloud and #Qwiklabs for providing this immersive learning experience! 🙌 Now, I'm eager to apply these skills and insights in real-world scenarios. Let's connect! #GCP #DataEngineering #MachineLearning #CareerGrowth

"Unlock the Power of Data and AI with Azure Databricks! 💡✨ In today's fast-paced world, data is king, and organizations need robust tools to turn data into insights. That's where Azure Databricks comes in! 🚀 Join me on a journey into the world of Azure Databricks, a fully managed Apache Spark-based analytics platform that empowers organizations to tackle their biggest data challenges with ease. From big data processing to machine learning and AI, Azure Databricks offers a unified platform for data engineers, data scientists, and analysts to collaborate and innovate. Stay tuned for insights, tips, and best practices on how to leverage Azure Databricks to drive business success and unlock the full potential of your data assets. Let's embark on this data-driven adventure together! 💼💻 #Azure #Databricks #DataAnalytics #MachineLearning #AI #DataEngineering #BigData"

🚨 Announcing Azure OpenAI Data Zones _____________________________________ From Day 0, Azure OpenAI provided data residency with control of data processing and storage across our existing 28 different regions. New Azure OpenAI Data Zones for the European Union and United States. Variances in model-region availability have historically required customers to manage multiple resources and route traffic between them, slowing development and complicating management. This feature simplifies generative AI application management by offering the flexibility of regional data processing while maintaining data residency within those geographic boundaries, giving customers easier access to models and higher throughput. https://lnkd.in/eQ6rXG9u #azure #openai #residency #data #genai