LGITSA - Local Government Information Technology South Australia’s Post

🚀 Exciting News! Join us at the AWS Databases & Analytics Day to discover how AWS can help your organization build the next generation data foundation in the AI era. 🌟 We have three tailored tracks to enhance your learning experience: 1️⃣ Databases 2️⃣ Analytics & Big Data 3️⃣ Executive Track In the Executive track, you'll gain insights from AWS Data experts on best practices for developing a modern data strategy, foundation, and governance model to scale data, analytics, AI/ML, and generative AI innovations across your organization. In the technical tracks, AWS experts will deep dive into services powering data ecosystems for numerous customers. Explore generative BI capabilities in Amazon QuickSight, leverage vector databases for AI applications, integrate data with zero-ETL for analytics and ML, and build resilient applications with Amazon Aurora, and more! Customer spotlights will offer valuable insights from others using managed AWS Databases & Analytics services. Don't miss this opportunity to immerse yourself in the future of data and AI, and network with fellow data innovators. Register now! 🌐 #AWS #Databases #Analytics #AI #DataInnovation #AWSInnovate Sign up here —-> https://lnkd.in/eEBYsDmP

BigQuery data canvas - a new AI-oriented tool Overcoming complexities in the journey from data to analytical insights can be frustrating. Data specialists spend precious time analyzing data sources, reinventing the wheel with each new question that arises along the way. They manipulate multiple tools, switch between coding languages, and collaborate with a wide range of teams in their organizations. This fragmented approach is rife with bottlenecks, preventing analysts from generating valuable insights and performing high-impact work as quickly as they should. At Google Cloud Next '24, BigQuery data canvas was introduced, reimagining how data professionals work with data. This new user interface helps clients create graphical data workflows that align with their mental model, while AI innovations accelerate the discovery, preparation, analysis, visualization, and sharing of data and insights.

Last week in London at the AWS & Firemind event, I had the chance to present a few provocative ideas about the role of Data Strategy in the Era of AI. Buckle up. Here's a summary. ❓Are humans better equipped to ask questions or to answer them? Well, the last 2 years of GenAI mania proved that humans love to take the credit for machine generated content by the illusion of choice: I chose the right model, or I gave the perfect prompt. 🔳 Outcome oriented as we should be, when things don't turn out according to expected definitions of success, we now tend to blame neither the human nor the machine, but instead the data. I was given bad data. The model was given dirty data. Etc. 🌀 Fixing the Data Quality seems to be a key to success, but the mechanisms to do it are still very much reliant on the expectation that machines will do the work and humans will oversee it. 🏛️ Once you have good data, the here and now are the most important dimensions. One-way door decisions need accuracy but two-way door decisions need speed. A valuable Data Governance program is one that strikes the right balance between centralising policies while decentralising mechanisms. 💻 But we the technology partners can only go so far because in fact technology is the lower end from a process that needs to happen top-bottom starting with infusing a culture backed by data and not hunches. An organisation structured around experimentation without the fear to fail, and a North-Star pointing at business result metrics justifying every move. And sometimes acknowledging that not moving may be the smart choice. The role of AWS in this equation is to embed intelligence in all tools and make sure abstraction layers will speed up the time to value of technology tools, instead of adding complexities that act as blockers. Embedded Intelligence examples are the usage of Amazon Q at all layers of the Data Stack (Glue, Redshift, Quicksight) and examples of abstraction layers are services like Amazon DataZone that make the here and now of data consumption an achievable task. 👀 Stay tuned as more abstraction layers will be announced both at the Data Storage layer and at the Data Builders layer. Exciting times ahead. Jonathan Preston Firemind Amazon QuickSight

"AI-ready data platforms are revolutionizing the way organizations handle information...AI-ready data platforms aren't just a trend; they're a strategic imperative for staying competitive in today's data-driven landscape." - Gerrit Kazmaier, VP & GM of Data Analytics, Google Cloud Want to learn more about how AI-ready data platforms can revolutionize your business? Read Gerrit's latest blog post on data analytics innovations that are fueling AI initiatives: https://lnkd.in/dnQ7Ec4T #AI #DataPlatforms #GoogleCloudAI #GoogleCloud #Artificialintelligence #GenerativeAI #GenAI #AIDrivenTransformation #BusinessTransformation #DigitalTransformation #VertexAI #Gemini #Singapore #SingaporeBusiness #SG

Don't miss out on the AWS Databases & Analytics Day in Sydney on May 14th! Join AWS global speakers and peers to solve your organization's biggest data challenges. Learn how to prepare for the next wave of data opportunities, including Generative AI, and connect with AWS experts and thought leaders. Register now at https://lnkd.in/gE6BHgkS #data #GenerativeAI

Are you frustrated with your colleagues debating which data should be used or is correct? Do you have specific business problems you want to solve with data insights? Would you like to start making decisions using data faster, but you don’t know where to start? Have you already made investments in data solutions, but you are not getting the expected value? If any of these apply to you, our capability assessment can help! Our data capability assessment will provide actionable insights and recommendations to enable you to get started on your data-driven decision-making journey. Sound good? Reach out to our team of experts! #dataanalytics #ai #mdts #datacapability #datamanagement

Data strategy in the Era of AI with Luis Campos "Are humans better equipped to ask questions or to answer them?" Thanks Luis for asking the hard questions! Looking forward to your message

🚀 Unlock the power of your data with Databricks and Microsoft Fabric! 🚀 Databricks and Microsoft Fabric are leading platforms that offer unique strengths and seamless integration. Together, they create a powerful, integrated data ecosystem that can take your organization far into the future. Check out the latest article from our CTO Colin Van Dyke diving deep into this topic! Key Takeaways: ✔ Complementary Services: Databricks and Fabric align perfectly, leveraging Databricks’ advanced ML and AI capabilities with Fabric’s user-friendly interface. ✔ Enhanced Productivity: Seamless integration increases productivity and collaboration across technical and non-technical teams. ✔ Improved Governance: Combining fine-grained RBAC & ABAC capabilities ensures robust data governance and security. ✔ Scalability and Flexibility: A Lakehouse foundation allows for optimized resource utilization and future-proof data management. Read the full story here 🔗 https://lnkd.in/env4wJv7 #DataAnalytics #Databricks #MicrosoftFabric #DataStrategy #AI #Governance

Azure Service Fabric - all your data, all your teams, all in one place - proSkale #proSkale #microsoftfabric #microsoftazure #dataanalytics #ai #datascience #realtimeanalytics #businessintelligence