“Anthropic has been a strategic partner in developing our AI strategy at Asana. We’re able to more accurately draw insights and nuances from large sets of data, and overall tell an honest assessment of the state of work.” – Eric Pelz, Head of Technology, AI at Asana.
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AI-Driven Customer Segmentation: Precision Marketing Era
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The Era of Precision: Customer Segmentation in the Age of AI https://
linkedin.com/pulse/era-prec
ision-customer-segmentation-age-ai-nicolas-babin-3rfle
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#ArtificialIntelligence #data #marketing #segmentation #Innovation #technology @PawlowskiMario @jblefevre60 @kalydeoo @Ym78200 @pierrepinna @3itcom @enilev @Fabriziobustama @CurieuxExplorer -
Wells Fargo Scales AI for Personalized Enterprise Banking
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#AI is offering more contextual, personalized, and tailored customer experiences in #financialservices. Join the session on March 19 at #GTC24 to learn how @WellsFargo is scaling AI for enterprise banking. https://
nvda.ws/4b1jvkt -
SME Implements Data Analysis Strategy West Data Festival
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[Case Study] Why and how an SME implemented a data analysis strategy thanks to #WestDataFestival? https://actuia.com/actualite/pourquoi-et-comment-une-pme-a-mis-en-place-une-strategie-danalyse-de-donnees-grace-au-west-data-festival/
… #AI #artificialintelligence -
Data-Driven AI Transforms HR Management: Navigating Key Challenges
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#Data and #AI are redefining #HR #management, but these technologies also bring a number of big #challenges. Find out how companies can navigate the evolving landscape so their data-driven #people #management initiatives succeed. https://
linkedin.com/pulse/biggest-
challenges-pitfalls-data-driven-ai-enabled-hr-bernard-marr-uxrme
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Grok’s Potential: Personalized AI Using Twitter Data
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grok would blow up if it used your twitter data to personalize it instead of focusing on world events. they have the data to: > recall, cross reference posts you've seen, liked
> summarize discussions relevant to you today
> find people you should meet – like fb graph search v2 -
Production-Ready End-to-End RAG Implementation Guide
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Spoiler alert: it’s easier than you think to implement a production-ready end-to-end RAG. In this demo, you’ll learn about data conversion, embedding models, and efficient hosting with Databricks Model Serving. Watch now https://
bit.ly/3RDHIFH -
RAG versus Fine-tuning: LLM Optimization Trade-offs Analysis
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3/ RAG vs. Finetuning – report discussing the tradeoff between RAG and fine-tuning when using LLMs like Llama 2 and GPT-4; performs a detailed analysis and highlights insights when applying the pipelines on an agricultural dataset.
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Gen Z Workers Address AI Ethics Data Security Career Risks
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Gen Z workers speak out on AI ethics, data security, career disruption https://
digiday.com/media/gen-z-wo
rkers-speak-out-on-ai-ethics-data-security-career-disruption/?utm_medium=social&utm_campaign=digidaysiteshare&utm_source=twitter
… #GenAI #AI #GenAITrends #ethics #tech #IoT #ML #TechTrends #TechTalk #OpenAI #data #DataScience -
Generative AI Ethics: 8 Biggest Concerns and Risks
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Generative AI Ethics: 8 Biggest Concerns and Risks. Like other forms of #Al, #generativeAl can influence a number of ethical issues and risks surrounding #dataprivacy, security, … #GenAI #ethics #DataScience #bigdata #tech #OpenAI #ML #IoT #Data