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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

Adding Meaning to Data: Knowledge Graphs, Vector Databases, and Ontologies

This article discusses the importance of context in enterprise data for generative AI (GenAI), and, in fact, for any AI initiative.

Developing a Strong AI Governance Framework

The exponential advancement of AI technologies necessitates the implementation of robust governance frameworks to guide their responsible development and deployment.

Taming the Data Quality Issue in AI

Data quality is the showstopper of AI. Many enterprise leaders who were hot on the business potential of AI are realizing that their efforts will be dead in the water if the data they are employing to train and populate their AI models is inadequate, inaccurate, or not timely.

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.

Enterprise AI Case Studies

SADA Earns New Google Cloud Specialization After Success with GenAI Experimentation

SADA reinforces its commitment to delivering transformative AI solutions that drive customer success.

Clarifai Aims to Advance AI Innovation by Joining the Berkeley Artificial Intelligence Research (BAIR) Open Research Commons

Clarifai, a global leader in AI orchestration and development, announced it's joining the Berkeley Artificial Intelligence Research (BAIR) Lab's Open Research Commons (ORC).

Siren and Senzing Collaborate on Transforming Law Enforcement Investigations

This partnership combines Siren's AI tools with Senzing entity resolution technology to help agencies identify individuals and entities more precisely.

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