AI and Profiling: Julie-Michèle Morin's conference "Artificial Intelligence: Data Games and Power Games" https://actuia.com/actualite/ia-et-profilages-la-conference-de-julie-michele-morin-intelligence-artificielle-jeux-de-donnees-et-jeux-de-pouvoir/
… #AI #artificialintelligence #data #security
@CICCTweet
DATA
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AI and Profiling: Conference on Data and Power
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Banks Leverage AI Sentiment Analysis Digital Transformation Strategy
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Part2 Session Pick: How can #banks continue #DigitalTransformation in downturn? Superb points Janet Jones @MSFTBusinessUK Enhance #customer relationships with #AI & Sentiment #Analysis for holistic understanding
Anticipate #Financial vulnerabilities
#FTBanking Ad #ftlive -
Leveraging Aadhar and Mobile for Direct Subsidy Distribution
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– Aadhar Penetration in India: 88% – But, only 200Mn bank accounts. – But, 800Mn people in India with access to a phone. Link Aadhar to Mobile (which is already done/being done). And, give a QR code via message to access subsidy. We don't need to build a "Digital Currency"
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4 CEO Actions to Become AI-First Companies
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4 actions #CEOs can take to follow the #AI Achievers’ playbook and become AI-first companies
Via @ingliguori #DataSecurity #dataScientist #DataAnalytics #TensorFlow #Cloud #coding #BigData #5G #MachineLearning #fintech #blockchain #DataScience #100DaysOfCode #Python #leadership -
Dimensional Modeling and Data Model Implementation Best Practices
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Design and implement various #data models with ease on our platform This blog post deep dives into dimensional modeling! Plus, walk through a live example of a physical data model implementation using our table creation and DDL best practices https://
dbricks.co/3sEhIg8 -
Explainable Artificial Intelligence XAI for Engineers
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Explainable Artificial Intelligence (XAI) for AI & ML Engineers: This article was published as a part of the Data Science Blogathon. Introduction Hello AI&ML Engineers, as you all know, Artificial Intelligence (AI) and Machine Learning Engineering are… https://
analyticsvidhya.com/blog/2022/10/e
xplainable-artificial-intelligence-xai-for-ai-ml-engineers/?utm_source=dlvr.it&utm_medium=twitter
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Fine-tuned Models Producing Poor Results: Data Quality Issues
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but the results from the fine-tuned models were trash and the responses I was getting were really bad I am assuming it takes either significantly more refined prompt/completion data than what I gave it or just more data (both could be true)
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Fine-tuning models is easy but data preparation remains challenging
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it was easy to fine-tune the models (sorta, gathering and cleaning the data sucked and it doesn't look like there is any easy automatic process to do this yet in terms of a simple online tool)
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Databricks and Delta Lake Win AWS Reinvent Readers’ Choice Awards
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Our amazing team at AWS #reinvent accepting our two @BigDATAwireNews Readers’ Choice Awards! Thank you again to everyone who voted for Databricks and #DeltaLake 2.0 – this is all because of you!
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Building Data Lakes with Snowflake: ETL Architecture Guide
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Builiding a Data Lake using Snowflake: This article was published as a part of the Data Science Blogathon. Introduction to Snowflake When we talk about the “doing” part of data engineering, people usually want to say something about ETL, like, “How is… https://
analyticsvidhya.com/blog/2022/10/b
uiliding-a-data-lake-using-snowflake/?utm_source=dlvr.it&utm_medium=twitter
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