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Machine Learning
With its ability to analyze large datasets, adapt to new information, and provide personalized and accurate insights, Machine Learning is fundamental to many advancements in technology and how enterprises use data to improve business outcomes, including data-driven decision making, task automation, process optimization, advanced problem solving, and real-time analysis.

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Features

The AI-Driven Transformation of Enterprise Data Architecture

The past year has been an exhilarating one with AI and more specifically, generative AI (GenAI), quickly emerging as a transformative force, reshaping how businesses will operate, innovate, and interact with customers. As AI continues to gain prominence, its impact on enterprise data architecture is becoming increasingly apparent.

The Rise of GenAI and LLMs

In 1950, Alan Turing suggested a test to determine if computers could mimic human intelligence well enough that an impartial observer could no longer tell the difference. We are still talking about the Turing Test almost 75 years after its inception.

Artificial Intelligence (AI): Top Ten Trends

Owing to its potential, AI is one of the most active areas of technological development, particularly in process automation, revolutionizing how we work. In a fast-paced environment where one development, like OpenAI's ChatGPT, can impact the world literally overnight, many enterprise leaders are understandably curious - even anxious - about current and coming AI trends, hoping to leverage artificial intelligence platforms to improve their productivity, profitability, and competitiveness.

Enterprise Uses for Artificial Intelligence

Artificial intelligence (or AI) is the simulation of human intelligence processes, especially learning and adaptive behavior, by machines. Among other uses, AI is employed by enterprises to power a wide variety of business and consumer applications, such as sifting through mountains of Big Data to extract precious business intelligence or permitting a vehicle to drive itself.

Enterprise AI Case Studies

ProSearch Leverages Relativity aiR for Review to Dramatically Improve Document Review Efficiency with GenAI

ProSearch, a leading provider of legal data intelligence and comprehensive discovery and compliance solutions, announced the company leveraged its early access privileges to Relativity aiR for Review to help clients reduce costs and accelerate project times.

CoreWeave Selects Nokia to Provide Networking Foundation for Hyperscale AI Cloud

CoreWeave to deploy Nokia IP and optical platforms in data centers across U.S. and Europe as part of massive wide area network buildout to support high-performance AI infrastructure.

MUSC Health Leverages AI Agent Powered by the Amelia Patient Engagement Solution

MUSC Health's new AI agent, named Emily, leverages Amelia's integration with Epic and is currently available 24/7 to answer calls within MUSC Health's patient access center.

Enterprise AI Whitepapers

2024 Enterprise AI Sourcebook

The Enterprise AI Sourcebook brings together the leading experts from across the industry to dive into the most important trends as the go-to resource for real direction on the risks, obstacles, solutions, and best practices. Download this special publication today.

The AI Security & Governance Report

Compliance, privacy, and ethics have always been top priorities for data-driven organizations. But as generative AI advances open new doors and opportunities for innovation, the stakes have never been higher than they are right now.

2024 State of Reliable AI Survey

Like any data product, when it comes to AI, garbage data in means garbage responses out. The success—and safety—of AI depends on the reliability of the data that powers it.

Unified Data Layer: Transforming Data Choas into Actionable Insight

In today's fast-paced world, making the most of your data is critical to staying ahead. Your organisation faces challenges in overcoming messy, unstructured, and siloed data. Datavid's UDL has the solution.

Machine Learning Directory