Remove Data Integration Remove Data Quality Remove Natural Language Processing
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Alix Melchy, VP of AI at Jumio – Interview Series

Unite.AI

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. This focus ensures that AI models are developed with a strong foundation of inclusivity and fairness.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning Blog

Intelligent insights and recommendations Using its large knowledge base and advanced natural language processing (NLP) capabilities, the LLM provides intelligent insights and recommendations based on the analyzed patient-physician interaction. These insights can include: Potential adverse event detection and reporting.

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Elevate Your Data Quality: Unleashing the Power of AI and ML for Scaling Operations

Pickl AI

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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Five benefits of a data catalog

IBM Journey to AI blog

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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What are AI Agents? Demystifying Autonomous Software with a Human Touch

Marktechpost

Defining AI Agents At its simplest, an AI agent is an autonomous software entity capable of perceiving its surroundings, processing data, and taking action to achieve specified goals. Data Quality and Bias: The effectiveness of AI agents depends on the quality of the data they are trained on.

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Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.