Remove 2023 Remove Explainability Remove Metadata
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Yariv Fishman, Chief Product Officer at Deep Instinct – Interview Series

Unite.AI

Deep learning (DL), the most advanced form of AI, is the only technology capable of preventing and explaining known and unknown zero-day threats. Can you explain the inspiration behind DIANNA and its key functionalities? Not all AI is equal. Deep Instinct is the only provider on the market that can predict and prevent zero-day attacks.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking.

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AI and bots allegedly used to fraudulently boost music streams

AI News

Curtis, explained that the agency was dedicated to tracking down those who misuse technology to rob people of their earnings while simultaneously undermining the efforts of real artists. In exchange, Smith offered metadata such as song titles and artist names, and offered a share of streaming earnings.

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Preparing for the EU AI Act: Getting governance right

IBM Journey to AI blog

The European Parliament reached a provisional agreement on the EU AI Act in December 2023, it is now making its way through the final phases of the legislative process and is expected to rollout in stages in the second half of 2024. Dec 19, 2023 The European AI Act is currently the most comprehensive legal framework for AI regulations.

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How to responsibly scale business-ready generative AI

IBM Journey to AI blog

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. by 2032 with a 27.02% CAGR between 2023 and 2032.

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First ODSC Europe 2023 Sessions Announced

ODSC - Open Data Science

In this session, you will learn how explainability can help you identify poor model performance or bias, as well as discuss the most commonly used algorithms, how they work, and how to get started using them. Why is it important? Why is it important? What techniques are there and how do they work?

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A look into IBM’s AI ethics governance framework

IBM Journey to AI blog

It helps accelerate responsible, transparent and explainable AI workflows. Its toolkit automates risk management, monitors models for bias and drift, captures model metadata and facilitates collaborative, organization-wide compliance. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S.

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