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Data Science
To develop and deploy effective AI systems, you need tools, techniques, and methodologies to hand data, build and evaluate models, and generate insights. Welcome to Data Science.

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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.

Enterprise AI Case Studies
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.