Willem Gabilly’s Post

👋 Say goodbye to hours spent sifting through articles! With LLMs in Dataiku, Ørsted can now quickly review marketing happenings through summarized content in a news digest (500+ people have already signed up!). Read the full story here: | https://bit.ly/3TvYKH0 | #ROAI

A big thanks to Dataiku for supporting us in one of our initial production-grade use cases utilizing Gen. AI! The strength of this platform really lies in its ability to swiftly transition from experimentation to production, enabling data scientists to concentrate on delivering value rather than navigating the extensive technical complexities involved in preparing a data science project for production: ensuring scalability, interoperability, monitoring, robustness, security, and governance. Looking forward to see how we can scale this approach!

We hear a lot about Generative AI but rarely see actual success stories where GenAI has had actual business impact . Here's one...from Ørsted leveraging Dataiku.

Useful and interesting insights from Ørsted on how they use LLMs in Dataiku

Want to know how Ørsted leverage LLMs in Dataiku? Read more here!

I’ve been working on a cool AI-powered data ingestion pipeline, and I wanted to share how 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝘀𝗲𝗮𝗿𝗰𝗵 is making a big difference for us. We’re pulling in data from all sorts of sources like 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀, 𝗠𝗶𝘅𝗽𝗮𝗻𝗲𝗹, 𝗦𝗲𝗴𝗺𝗲𝗻𝘁, 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗱𝘀, 𝗙𝗮𝗰𝗲𝗯𝗼𝗼𝗸 𝗔𝗱𝘀, 𝗛𝘂𝗯𝗦𝗽𝗼𝘁 𝗖𝗥𝗠, and more. The power of semantic search comes in when we query this data: 1. When we 𝗽𝘂𝗹𝗹 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗗𝗮𝘁𝗮 𝗳𝗿𝗼𝗺 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗦𝗼𝘂𝗿𝗰𝗲𝘀, No more manually sorting through data. When I ask a question, like "What were my top-performing Facebook ads this month?", the system knows exactly where to pull the data from—whether it's Facebook Ads, Google Ads, or another source. 2. If I want to find outliers and trends, semantic search helps us 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝘀𝗽𝗼𝘁 𝗮𝗻𝗼𝗺𝗮𝗹𝗶𝗲𝘀 or unusual patterns in our data. For example, if there’s a spike in ad spend or an unexpected drop in conversions, the system flags it right away. 3. Not only can I see data trends in 𝗴𝗿𝗮𝗽𝗵𝘀, but I can also get text or even 𝘃𝗼𝗶𝗰𝗲-𝗯𝗮𝘀𝗲𝗱 summaries of the analysis. It makes it super easy to understand and act on the insights. In short, with 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝘀𝗲𝗮𝗿𝗰𝗵, our system understands the meaning behind our data, connects the dots across different tools, and helps us make faster, smarter decisions. #LargeLanguageModels #GenerativeAI #LLM #ArtificialIntelligence #machinelearning #MarketingTech #BusinessIntelligence #DataAnalysis

👋 Say goodbye to hours spent sifting through articles! With LLMs in Dataiku, Ørsted can now quickly review marketing happenings through summarized content in a news digest (500+ people have already signed up!). Read the full story here: | https://bit.ly/3TvYKH0 | #ROAI

👋 Say goodbye to hours spent sifting through articles! With LLMs in Dataiku, Ørsted can now quickly review marketing happenings through summarized content in a news digest (500+ people have already signed up!). Read the full story here: | https://bit.ly/3TvYKH0 | #ROAI

How would you incorporate forked memories in your BI workflow?

Here's a 𝟕𝐦𝐢𝐧 𝐝𝐞𝐦𝐨 𝐭𝐡𝐚𝐭 𝐰𝐢𝐥𝐥 𝐩𝐫𝐞𝐩𝐚𝐫𝐞 𝐲𝐨𝐮 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞... Mervin Praison ✅ has great content, and this demo in particular is straight to the point, honest and compelling. Worth a watch. https://lnkd.in/e3H_busi DevinAI #dataAI