Sigma’s Post

I call our approach to AI “transparent AI” - where you don’t just ask a black box a question and wonder if the answer is correct. Like in high school math class: we show our work

Struggling to find valuable AI solutions for your data team? ThoughtSpot made a guide for that. What's inside: ✅ Practical tips on preparing your data for GenAI ✅ Expert guidance on the state of AI in BI ✅ Evaluation criteria for GenAI applications Find it here 👇

🚨 Attention CDAOs! Discover the ideal approach for integrating #GenAI into a CDAO’s roadmap In this article, analytics and AI strategy expert Gary Cao breaks the subject down into the following 3 questions and answers them in detail: ❓How do CDAOs perceive GenAI? ❓How to integrate GenAI into the current context of “data and analytics”? ❓What can CDAOs do to embrace GenAI as part of their strategic framework? ➡️Read the full article now: https://hubs.ly/Q02x54bX0

Sharing the recently published article online on CDO Magazine. Integrating GenAI into Chief Data and Analytics Officers' Roadmap Welcome your comments and feedback! #CDAO #CAIO #CDO #CAO #GenAI #Roadmap #AI #Data #Analytics #DataManagement #SemanticLayer #ACID #Database #Enterprise #Roadblock #Logjam #Easier #Faster #Better #Cheaper

Explore the future of Generative AI in our comprehensive course! Gain expertise in Big Data Analytics, Design Thinking, Digital Transformation, and Business Innovation.Get the grip to using tools like GPT-4o, DALL-E, Google Gemini, amongst others. Secure your spot now and be part of the future! #GenerativeAI #Innovation #FutureTech #Masterclass #BigDataAnalytics #DesignThinking #DigitalTransformation #BusinessInnovation

I have just completed Transforming Your Business with AI, which gives you a deep understanding of how AI is deployed in business so that you can see what it can (and cannot) do for you and your organisation. The programme equips you with practical frameworks and templates to work with data scientists and programmers, showing you how to commission analysis and analyse the results you receive.

This is one of the best discussions on the development and future trajectory of AI that I’ve read.

This article succinctly lays out the foundational people, process and technology requirements needed to drive real value from Gen-AI. Well said Mr. Ge! Key topics this article makes clear: ➡️ Time-to-value is critical ➡️ Data quality needs to be a focus ➡️ Process automation is key I would also emphasize: ➡️ Closed-loop feedback mechanisms will be needed to improve the AI-to-Human interactivity. Trust is easily broken and by capturing user feedback you can take steps to maintain or improve this trust. ➡️ Gen-AI will eventually turn into Gen-AI "Sprawl" and therefore will require operational and managerial functions to prevent this. With regulatory pressure growing, understanding "who is doing what" is important.

🚀 Data science is transforming at lightning speed, thanks to the powerful combination of AI and data integration. In the article "How AI And Data Integration Are Shaping The Future Of Data Science", we explore: How AI automates complex data analysis. The role of integration in breaking down data silos. Why this synergy is key for smarter, faster business decisions. 🔗 Read the full article here https://zurl.co/daW2 to uncover how these innovations are empowering businesses to thrive. #Consultblackswan #BlackSwanConsulting #BSCI #FPA #Consulting #professionalservices #technicalassistance #grantservices #training #dataanalytics #BusinessGrowth #DataDriven #FinancialPlanning #BusinessStrategy #Forecasting #AI

🌟 A few months ago, I found myself in a meeting where the topic of AI interactions came up. We were struggling to find ways for our systems to understand context better. The conversation turned frustrating as we faced the usual limitations of traditional models—response accuracy and relevance. Then someone mentioned Retrieval-Augmented Generation (RAG). My interest was piqued. This approach promises to enhance AI by pulling in context from external documents. It’s a game-changer! Imagine being able to ask your AI a question, and not only does it answer accurately, but it also pulls relevant information from your entire database to support that answer. It’s like having a research assistant at your fingertips! As we dove deeper into RAG, I learned about its reliance on an embedding model and how it utilizes vector databases. This means that when you upload a document, RAG can extract relevant chunks of information, making the responses much richer and context-aware. 🚀 Here’s what I found practical: - **Increased Accuracy:** By incorporating real-time data, RAG improves response quality. - **Enhanced User Experience:** The interactions become more conversational and intuitive. - **Scalability:** Thanks to its flexible architecture, RAG can adapt to evolving datasets. For technologists and business leaders, understanding RAG isn't just about keeping up with trends. It's about making informed decisions that can lead to competitive advantages. Curious about how RAG can transform your data retrieval processes? 🤔 I’ve put together a brief video breaking down the essential concepts and showing examples of how RAG can work in real-life scenarios. Check it out and let's discuss! 👉 [Video Link] If you enjoy the insights, please LIKE the video and SUBSCRIBE for more tech-savvy content! What do you think? How could RAG impact your organization? Share your thoughts in the comments! #AIRevol #DataIQ #RAGTech #TechTrends #AIHelp http://ow.ly/9FbA30sJacO