NVIDIA

FEBRUARY 28, 2025

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. Automation at scale : Businesses can automate repetitive security tasks such as log analysis or vulnerability scanning, freeing up human resources for strategic initiatives.

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Algorithm Automation AI AI 96

IBM Journey to AI blog

JANUARY 8, 2024

As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents. The algorithm preserved the case history and gave users a comprehensive view of all the information for the case and where it originated.

Categorization 264

Categorization Automation Explainability Generative AI 264

AI Weekly

DECEMBER 14, 2023

futurism.com Ethics MIT publishes white papers to guide AI governance The comprehensive framework outlined in these papers seeks to extend existing regulatory and liability approaches to effectively oversee AI while fostering its benefits and mitigating potential harm. Many of the services only work on women.

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AI Chatbots Chatbots Robotics Large Language Models 264

IBM Journey to AI blog

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

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Generative AI Responsible AI Neural Network Natural Language Processing 200

Towards AI

JUNE 5, 2023

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. The white paper goes into great depth on the concept of MLOps, its lifecycle, capabilities, and practices. Automation✓ The system must emphasize automation.✓

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ML Data Scientist Automation Algorithm 52

Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Automation Automating data pipelines and models ➡️ 6. Download the free, unabridged version here.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

Dlabs.ai

JULY 17, 2020

That could allow marketing teams worldwide to focus on other essential business processes — instead of investing so much time on routine manual tasks that can now be automated (think content personalization, lead scoring, and reporting). They must use visual monitoring as well to find instances where people reference brands using imagery.

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Artificial Intelligence Artificial Intelligence AI AI 52