A new chatbot from the e-commerce analytics company Profitero aims to help companies connect the dots across the fragmented but burgeoning world of retail media.
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SAS Explore 2026: Analytics, Machine Learning and AI Conference
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It’s almost that time of year again where all our explorers gather in-person for #ExploreSAS ! Our data community couldn’t be more thrilled. Think and build with us at SAS Explore, Sept. 11-14, Las Vegas. Register http://
2.sas.com/6012PwZiw #Analytics #MachineLearning #AI -

Less Data Better Results Finetuning LLMs with Trimmed Datasets
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Next to LIMA, this is another interesting paper highlighting that more data is not always better when finetuning LLMs: https://
arxiv.org/abs/2307.08701 Trimming the orig 52k Alpaca dataset to 9k can improve the performance when finetuning 7B and 13B parameter LLMs. -

Physics Principles Drive Startup Success Through Data
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The power of #Physics applies to business as well.
— Helen Yu (@YuHelenYu) 2 août 2023
Business can achieve minimum viable repeatability with the right product/market fit, the minimum viable team and making decisions based on real-time#data.
Learn more: https://t.co/7cU8GVQoU2#AI #DataScience #startups… pic.twitter.com/utfz0s4rM9The power of #Physics applies to business as well. Business can achieve minimum viable repeatability with the right product/market fit, the minimum viable team and making decisions based on real-time#data. Learn more: https://
amazon.com/Ascend-Your-St
art-Up-Disconnects-Accelerate/dp/1641466219
… #AI #DataScience #startups -

Cash Management and Order to Cash Analytics in Uncertain Economy
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Cash still rules everything around us, and never has it been more accurate, especially in these uncertain economic times https://
ow.ly/1Gyl50Pqc47 #AnalyticsForAll #OrderToCash -

Finance Hesitates on Automation Despite Speed Demands
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#Finance professionals value speed but are hesitant to commit to automation. Is this creating more challenges? Read on: https://
ow.ly/XA0Y50PqbhV #AnalyticsForAll -

Untangling LLMs’ Training Data Sources and Ethics
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From @benedictevans
' newsletter: the tangled web behind LLMs' training data -
Payment Intelligence: Unlocking Data Science Potential in AI
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#PaymentIntelligence Unlocking Potential Data Science #AILabPage #VinsLens @KirkDBorne @SwissCognitive @alvinfoo @mclynd @SpirosMargaris @ipfconline1 @Fabriziobustama @FrRonconi @enricomolinari @ingliguori @schmarzo @asokan_telecom @SBUCloud @terence_mills
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Biases in Low-Code No-Code AI Tools and Governance
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Thomas Robinson of @DominoDataLab dives into potential biases in low-code/no-code AI tools via @ForbesTech Insightful read on the importance of understanding & governance. Check it out: https://
domino.buzz/3rGeo72 #DataScience #LowCodeNoCode #DominoDataLab #ForbesTech -

LLMs Transform Machine Learning: Reducing Engineering and Labeling Costs
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#LLMs address many of the flaws of #ML: ML before: heavy feature #engineering, hyperparameter search, costly #labeling. ML w/ LLMs: easy data processing, zero-shot/few-shot predictions w/ good performance, add domain data to prompt. Watch the video: https://
pbase.ai/3Oe2VDw