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IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning

IBM Journey to AI blog

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. IBM named a Leader We at IBM continue to be excited about the intersection of decision automation with AI, which is also referred to as decision intelligence.

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Automate prior authorization using CRD with CDS Hooks and AWS HealthLake

AWS Machine Learning Blog

Documentation Templates and Rules (DTR) – This allows providers to download smart questionnaires and rules, such as Clinical Quality Language (CQL), and provides a SMART on FHIR app or EHR app that runs the questionnaires and rules to gather information relevant to a performed or planned service.

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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.

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InVideo Review: The Best AI Video Generator in November 2023?

Unite.AI

I'll even give you a behind-the-scenes look and step-by-step guide of how I generated this youTube Explainer video in minutes: I'll finish by giving you my top tips for writing effective video prompts, the pros and cons of the platform, and the best InVideo alternatives I've tried. With the script entered, choose a gender and accent.

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HR and Talent in the Era of AI

IBM Journey to AI blog

For example, IBM’s HR function has worked to build the capabilities of its internal AI-driven digital assistant, AskHR, over the past 8 years to answer 2,000 inquiries and automate more than 100 processes. To ensure responsible AI use, IBM recommends organizations follow these five pillars of AI ethics : Explainability.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Model explainability is a critical component of understanding a model’s behavior over a spectrum of input values. In contrast, many modern ML methods may combine data inputs in non-linear ways to produce outputs, making model explainability more difficult, yet necessary prior to productionization. Download now.

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way. Act One: Exploratory Data Analysis — Automation The nuisance of repetitive tasks is something we programmers know all too well.