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AWS adds machine learning capabilities to Amazon Connect

CIO

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London).

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Relyance AI scores $25M Series A to ensure privacy compliance at the code level

TechCrunch

Relyance AI , an early-stage startup that is helping companies stay in compliance with privacy laws at the code level, announced a $25 million Series A today. “For the first time, we are building the legal compliance and regulation into the source code,” Sharma told me. ” Leila R. .” ” Leila R.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. 2] The Security of Machine Learning. [3] 6] See: Testing and Debugging Machine Learning Models. [7]

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Simplifying machine learning lifecycle management

O'Reilly Media - Data

In this episode of the Data Show , I spoke with Harish Doddi , co-founder and CEO of Datatron , a startup focused on helping companies deploy and manage machine learning models. Today’s data science and data engineering teams work with a variety of machine learning libraries, data ingestion, and data storage technologies.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

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Algorithmia Adds GitHub Integration to Machine Learning Platform

CTOvision

Algorithmia, an AI model management automation platform for data scientists and machine learning (ML) engineers, now integrates with GitHub. The new release integrates machine learning initiatives into organisations’s DevOps lifecycles.

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How Machine Learning Helps in Financial Fraud Detection

KitelyTech

Machine Learning continues to drive major advancements in automated systems in every industry, including finance. That’s why machine learning is being used to make fraud detection more efficient. This is a deeper look at how machine learning helps in financial fraud detection. What is Fraud Detection?