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Data Engineering
Data engineering is the backbone of AI. From building data lakes and data warehouses to automating data pipelines and establishing policies and procedures for managing data assets, the role of data engineers in today's organizations continues to grow in importance.

NEW EVENT: KM & AI Summit 2025, March 17 - 19 in beautiful Scottsdale, Arizona. Register Now! 

Features

Elevating Enterprise Search With AI, ML, NLP, and LLMS

Information retrieval, now more commonly known simply as search, is one of the earliest manifestations of using AI. Consequently, enterprise search is inseparable from AI and one of the most meaningful beneficiaries of the exponential advancements recently achieved by machine learning (ML)—the most accomplished expression of statistical AI.

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.

Enterprise AI Case Studies

iGenius Deploys One of the World’s Largest NVIDIA DGX AI Supercomputers, Targeting Highly Regulated Industries

iGenius, a pioneer in AI models for highly regulated industries, is announcing its deployment of NVIDIA DGX SuperPOD with NVIDIA Grace Blackwell Superchips.

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).

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.

Unlocking the Power of Knowledge Management for Enterprise AI with Anzo and Knowledge Guru

In the era of digital transformation, enterprises are constantly seeking innovative solutions to maximize the power of their data.