Discover the future of information search! 🚀 👇 Our latest blog post shows how HyDE - hypothetical document embeddings - can revolutionize the efficiency and accuracy of your search queries. Dive in and learn more! 🌐🔍 https://lnkd.in/egbY7T4p #AI #KI #GenAI #GenerativeKI #KIBeratung #AIConsulting #GenerativeAI #OpenAI #Consulting
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🚀 Generative AI with KNIME – Toronto Learnathon 🚀 🎉 Day5 Analytics is thrilled to host KNIME in Canada for the very first time! 🇨🇦 Join us for an exclusive event where you'll learn how to enrich your data analytics with GenAI. During this hands-on workshop, we'll delve into practical techniques for fraud detection and explore the multi-language capabilities of GenAI to automatically generate custom alert messages. Whether you're new to KNIME or a seasoned pro, this hands-on workshop has something for everyone! Don't miss this opportunity to: 🔍 Learn fraud detection techniques visually and using statistical methods 🤖 Engineer LLMs via the OpenAI integration 📚 Create a vector store from investment contracts 💻 Build and deploy data apps to display email alerts 📅 Save the date: May 14th, 2024 📍 Location: The Professional Centre, Toronto, Canada (registration required), or Online 📝 Don't forget to bring your laptop with KNIME Analytics Platform and the KNIME AI Extension (Labs) already installed. 📩 Ready to revolutionize your data analytics game? Register now (link in comments) for this exclusive event and follow us to stay tuned for more updates about future events! #KNIME #GenAI #Day5Analytics #FraudDetection #AI #TechEvent #BusinessIntelligence #KNIMEWorkshop #Finance #Torontoevent
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We have the Olympics, and I just recently learned there will be an eGames Olympics. It seems only fitting that with all the AI adds, we submit some new events to the IOC... 1) Synchronized Data Wrangling: Contestants compete to see who can best match legacy source systems with new data models and BI tooling. Ratings are a combo of accuracy, speed of completion, and number of business users actually willing to trust the new tool 2) Data All Around: Contestants create an end to end data solution and are then judged against Quality, Governance, Security and Ease of Use 3) BI Tandem: New this year! Partnering with one generative AI solution of your choice, build an original dashboard and presentation in 15 minutes. Any other herculean events you can think of to add?
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Exploring the intersection of technology and sports has always fascinated me, particularly when AI brings innovation to life. That's why the groundbreaking partnership between IBM and the USTA for the US Open catches my attention. Leveraging AI and data analytics, IBM is redefining how predictions and insights are delivered in the tennis world.By structuring both unstructured and structured data, IBM is able to analyze everything from player stats and match dynamics to global media sentiment. This approach, backed by IBM watsonx, crafts a revolutionary AI-powered ranking system that considers myriad factors like win-loss ratios, injury statuses, and even media sentiment.Such projects bring explainable AI into the forefront of our daily lives, enhancing not only how fans enjoy tennis but also how we can apply similar methodologies across various sectors. Whether it's aiding a tennis enthusiast in picking a match or empowering CxOs with critical insights, the potential is limitless.For those eager to dive deeper, you can watch IBM's
Here’s how IBM predicts who is likely to win one of the most highly attended sporting events in the world 👀🎾 I love seeing AI positively impact the fan experience, so I was excited about IBM’s collaboration with the USTA as their digital innovation partner. So how do they identify the player most likely to win a match during the US Open, one of the largest tennis tournaments in the world? The process begins like every successful AI project - with structured and unstructured data from various sources: 🎾 Player data on 128 men and 128 women, including age, height, weight, ranking, and recent performance. Match data with over 7 million points, like serve direction, return shot type, rally count, and ball position. Media data from over 100 million articles to capture language and sentiment. IBM then, with the help of IBM watsonx, uses data analytics and AI to derive player performance insights by building: 🎾 An AI-powered ranking system (Power Index) that analyzes factors like win-loss ratio, win margin, rank differential, court surface, injury status, and tournament performance to determine player momentum and match insights, including an AI-powered fact sheets that distill millions of data points into meaningful insights, such as which players have the most momentum. I love working in data and AI because we see its positive impact daily, whether we’re deriving insights for a CxO, a tennis fan deciding which match to watch, or supporting editorial teams. Projects like this show how explainable AI can make our favorite things more fun. Watch the video and read here https://ibm.biz/BdKkMy to learn more about IBM’s partnership with the USTA and AI-powered features like Match Reports, AI Commentary, and Likelihood to Win. #IBMPartner #USOpen #Tennis #Data #watsonx #genAI I partnered with #IBM to bring you this post. Support the free content I create by sharing this post with your favorite tennis fan!
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Excited to share the development of an agentic Retrieval-Augmented Generation (RAG) system using LlamaIndex, leveraging both the phi-3-small model and GPT-3.5 Turbo, to predict the outcomes of EURO 2024! ⚽️ The model forecasts France as the likely winner🏆. Group F has been particularly intriguing, with Turkey and Portugal fiercely competing for the top spot. The model suggests that if Portugal wins the group, they advance to the semi-finals, otherwise, they face elimination by France in the Round of 16. The first match to be played today features the host nation Germany against Scotland. The predicted score is Germany vs. Scotland: Germany wins (3-1). It will be exciting to see whether the LLM's prediction is accurate or totally off! #AI #MachineLearning #EURO2024 #SportsAnalytics #LLM #Innovation #LlamaIndex #Microsoft #OpenAI #Betting
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Excited to share an update on our EURO 2024 predictions using our agentic Retrieval-Augmented Generation (RAG) system!⚽️ Here are some key highlights of our model's performance: Correct score predictions for 11 out of 36 group stage matches. 55% accuracy for all group stage matches. 75% accuracy in predicting teams to advance to the Round of 16. 75% accuracy in predicting teams to advance to the quarter-finals. 75% accuracy in predicting teams to advance to the semi-finals. 50% accuracy in predicting the final teams, with our model predicting France vs. Spain for the final, but unfortunately, they met in the semi-final, where Spain emerged victorious. We continuously updated our model to reflect the current tournament bracket and predict each match's outcome. After these updates, the model achieved an impressive 85% accuracy, with only two incorrect predictions: Switzerland vs. Italy in the Round of 16 and Spain vs. France in the semi-final. However, the model did not accurately predict the correct score for any knockout stage match. Overall, the model's probability of predicting the final match outcome throughout the whole tournament was 70%. As we approach the final match between Spain and England, our model predicts an average goal count of 1.5 for both teams in the first 90 minutes, with Spain expected to be European champions with a probability of 52.6%. It's been an exciting journey, and I'm eager to see how our final prediction holds up! Thank you for following along. #EURO2024 #FootballPrediction #AIinSports #MachineLearning #RAGSystem #LlamaIndex #FootballAnalytics
Excited to share the development of an agentic Retrieval-Augmented Generation (RAG) system using LlamaIndex, leveraging both the phi-3-small model and GPT-3.5 Turbo, to predict the outcomes of EURO 2024! ⚽️ The model forecasts France as the likely winner🏆. Group F has been particularly intriguing, with Turkey and Portugal fiercely competing for the top spot. The model suggests that if Portugal wins the group, they advance to the semi-finals, otherwise, they face elimination by France in the Round of 16. The first match to be played today features the host nation Germany against Scotland. The predicted score is Germany vs. Scotland: Germany wins (3-1). It will be exciting to see whether the LLM's prediction is accurate or totally off! #AI #MachineLearning #EURO2024 #SportsAnalytics #LLM #Innovation #LlamaIndex #Microsoft #OpenAI #Betting
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⚽ 𝐄𝐥𝐞𝐯𝐚𝐭𝐢𝐧𝐠 𝐒𝐨𝐜𝐜𝐞𝐫 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐀𝐈: 𝐰𝐚𝐭𝐬𝐨𝐧𝐱 𝐚𝐧𝐝 𝐅𝐂 𝐒𝐞𝐯𝐢𝐥𝐥𝐚 🌟 In the competitive world of professional soccer, strategic decisions can make or break a season. For FC Sevilla, identifying and recruiting the right talent is paramount to maintaining their success. The challenge? Sifting through vast amounts of data and player statistics to find the perfect match for the team’s needs. In addition, up to 40 scouting reports can be accumulated on each player, requiring 200 to 300 hours of review. To tackle this, IBM collaborated with FC Sevilla, harnessing the power of IBM Watsonx to develop the Watsonx Scout Advisor. This AI-driven solution analyzes extensive data sets, including player performance metrics, match footage, and more, to provide actionable insights and recommendations. 𝐖𝐢𝐭𝐡 𝐰𝐚𝐭𝐬𝐨𝐧𝐱 𝐒𝐜𝐨𝐮𝐭 𝐀𝐝𝐯𝐢𝐬𝐨𝐫, 𝐅𝐂 𝐒𝐞𝐯𝐢𝐥𝐥𝐚 𝐜𝐚𝐧 𝐧𝐨𝐰 𝐬𝐜𝐫𝐞𝐞𝐧 𝐨𝐯𝐞𝐫 𝟏,𝟓𝟎𝟎 𝐩𝐥𝐚𝐲𝐞𝐫𝐬 𝐝𝐚𝐢𝐥𝐲, ensuring that they don’t miss out on potential stars. ⭐️ This cutting-edge technology enhances scouting efficiency, allowing FC Sevilla to focus on strategic decision-making and player development. By leveraging AI, the club can stay ahead of the curve, making informed choices that align with their long-term goals. ✅ From data to decisions, delivering intelligent solutions to the sports industry. That’s the power of IBM. What can we do for your organization? #ibm #clientengineering #innovation #watsonx #ai #fcsevilla #soccer #sportsanalytics https://lnkd.in/d-EY7Ste
Sevilla FC Transforms the Player Recruitment Process with the Power of IBM watsonx Generative AI
newsroom.ibm.com
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Understanding “the realities of how mission critical web scraping is to modern business” is an important conversation. So glad to have Sarah McKenna speaking out on this and other topics core to the mission of #ARDC! #responsibledatacollection #allianceforresponsibledatacollection #responsiblysourceddata
The IAB Workshop on AI-CONTROL was very informative and it was great to connect with like minded professionals focused on tackling important issues around AI and data. Here are my key key takeaways: 1. Chatham House Rules allows for in depth (closed door) conversations. 2. Companies as a whole want to do good. 3. Big tech, government and non-profit luminaries seem to be less aware of the realities of how mission critical web scraping is to modern business than they are of web crawling use cases. 4. At the next standards workshop, we will share slides on mission critical web scraping use cases for enterprise, government and non governmental contexts and of course on the mission of the Association for Responsible Data Collection: a) The Importance of Equal Access to Public Data. b) Data Collection Standards & Governance are required as a precursor for content use restrictions. #IAB #IABWorkshop #AIWorkshop #webdata #altdata #data #ai #trustindata #trustinai #intelligentagents #aipoweredintelligence #ardc #responsibledatacollection #allianceforresponsibledatacollection #responsiblysourceddata
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SpiderSense bridges the gap between basic and advanced users, offering drag-and-drop network analysis and integration with industry-standard visualisation tools. 🕷️📊 #COSAIN #AI #ContactUs #OSINT #DataMining #OpenSource #Insight #Visualisation #Analysis #Online
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Less features - more focus. This is why we've decided to turn down some functionality. A big revision is coming. Here is the #weeklyupdate - Integrated GPT-4o Mini - Improved our blog - Updated store analytics #buildinpublic
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I am often asked to explain more about the #sootras, #neeyums and #essences framework at samvid.ai I will use a simple idea from game playing. The fact that business decisions are like actions in games is a well accepted idea in business and economics. In fact, one of my favorite books on this topic is "Games Businesses Play" by Pankaj Ghemawat. This book tries to establish a scientific foundation to business strategy using a game theory based approach even when large scale structured data is not available. Every enterprise is playing a game in a complex, competitive landscape with the objective of creating customer and shareholder value. However, to do so rigorously and systematically requires a good understanding of this landscape. Our #essences are a digital map of this business landscape as captured from not just structured data but data from the vast troves of latent knowledge embedded in unstructured documents which form the bulk of enterprise data. #LLMs are a critical technology in creating these essences. Our #sootras are the rules of game playing. In a business context, these rules are specific to the industry that the business operates in and provide the necessary guardrails to navigating the digital landscape defined by the #essences. We capture these #sootras as "Chain of Thought" #agents. Our #neeyums are the game-theoretic and reinforcement learning based #agents that capture business objectives, anticipate market and competitor reaction and drive actions that achieve those objectives. All put together, this represents a "frontier model" approach to maximizing revenue and boosting efficiency in ways never seen before, utilizing the power of intelligent agents. Please reach out to me to know more. #enterpriseai #responsibleai #agenticsystems
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