Starburst’s Post

Is it better to centralize or decentralize data? Starburst's Adrian Estala discussed this topic in a roundtable with PUE, Dell Technologies, and elEconomista. Here's what they landed on: - It is ideal to have a central place to access data quickly, but its use is decentralized and readily available - Legacy systems often require a lot of time and effort to update and can still provide robust data insights - To approach AI with caution. It is useful in improving the customer experience and overall company results, but for some use cases, AI still isn't mature enough #decentralised #bigdata #analytics #AI

Is it better to centralize or decentralize data? Starburst's Adrian Estala discussed this topic in a roundtable with PUE, Dell Technologies, and elEconomista. Here's what they landed on: - It is ideal to have a central place to access data quickly, but its use is decentralized and readily available - Legacy systems often require a lot of time and effort to update and can still provide robust data insights - To approach AI with caution. It is useful in improving the customer experience and overall company results, but for some use cases, AI still isn't mature enough #decentralised #bigdata #analytics #AI

You don't have to go big straight away! Small incremental changes over time can lead to monumental results when it comes to Data & AI. 🌱 Start Small, Scale Big: Implementing minor data improvements regularly can compound over time, leading to significant advancements and a robust data strategy. 🧩 Optimise Step by Step: Each incremental enhancement in your data infrastructure paves the way for smoother operations and more efficient data handling. 🤖 AI Evolution: Gradual updates to your AI models ensure they become smarter and more accurate, driving better decision-making and business outcomes. 📈 Data-Driven Growth: Small, consistent tweaks to your data analytics can uncover insights that fuel continuous growth and innovation. By embracing a strategy of incremental changes, you set your organisation on a path to substantial progress and success. #DataStrategy #AI #DataInfrastructure #BigResults #ContinuousImprovement

Get connected with the #Celsior team to discuss your data strategy. Access to clean, reliable and trusted data is crucial to your data strategy and leveraging AI effectively in your organization.

Finding the value in excess data can be overwhelming, especially as data-readiness grows in priority. When faced with copious amounts of it, AI can provide the direction that makes insightful conclusions a habit. Interpreting information with GenAI allows for: - Greater accessibility and presentation of data - Quicker summaries of data - Predictive capabilities that consider future trends/decisions - Quicker detection of any lapses in data Leveraging AI is not just an option or a single step to better data management, but a necessary process for organizations to stay competitive and use their unique insights to their advantage! #GenAI #Data #DataDriven

Discover how #cloudcomputing, data, and #AI converge to create transformative solutions that propel businesses forward. Don't miss this opportunity to realize new business value and stay ahead of the curve with AI-powered intelligent applications. Register now: http://msft.it/6047cgJaV #MicrosoftDiscoveryHour

Woah, slow down there! Just before you go on that big AI splurge, did you know that over a third of companies need to use between 20 and 100 data sources just to train their in-house AI? 😮 - Is your customer data stored in a structured format that can be easily accessed and utilised by AI models? - How well-integrated are your various customer data sources, and do you have a standard data taxonomy in place to ensure consistency across datasets? - Do you have the necessary permissions and consent from your customers to utilise their data for AI initiatives, and if not, how are you going to convince them of the value in providing it to you? - Is your current customer data infrastructure recent enough and scalable enough to handle the demands of AI-driven initiatives? - Are you in a position to be able to activate your AI insights in real-time across channels to maximise your investment in this technology? 96% of companies encounter data quality problems when launching in-house AI initiatives - make sure you get the foundations right first! 💡 #ai #ml #martech #data #analytics #technology 

A recent Forbes article by our CEO, George Davis, describes how enterprises have heavily invested in #DataInfrastructure in recent years, focusing primarily on structured data. However, #UnstructuredData — like written and verbal customer interactions—remains largely untapped and holds immense value. Stream-Trigger Augmented Generation (STAG) systems are changing the game. Unlike traditional AI, #STAG proactively scans and analyzes unstructured data in real-time, transforming it into actionable insights and allowing for unprecedented personalization, product development, and customer support enhancements. By leveraging STAG, businesses can bridge the gap between structured and unstructured data, driving strategic improvements and operational excellence. Unstructured data is the next frontier in the data revolution. https://lnkd.in/gK3J44VB #DataRevolution #AI #UnstructuredData #STAG #CustomerInsights #BusinessIntelligence #FrameAI

🧐 How does your organization progress #AI projects from proof of concept to production, then to scale? Let's talk tech & data strategy with these three questions: #1: Do I have the data and infrastructure required for AI applications to access data securely, quickly, and at scale? #2: Based on my top-priority use cases, should I buy, build, or modernize AI applications? #3: Do I have access to the right high-quality data to make AI impactful? 📚 For a deep dive into these questions and more, check out our AI Strategy Roadmap, available for download here 👉 http://msft.it/6047mEqKB #MicrosoftHK #AIStrategy

Businesses forget one thing. There are 10 million things to do before AI. And all of it relates to data: - Collection - Storage - Protection - Governance - Processing - Analysis First getting these things right helps you: - Make better decisions - Measure performance - Identify opportunities And this results in more revenue and bigger profits. #data #analytics #ai