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Databases
AI relies on data -- lots of it. As such, databases are essential for AI because all of that data needs to be stored, managed, and retrieved in a structured, scalable, and efficient manner. Databases support data preparation, integration, and real-time processing, as well as data quality, security, and governance. Succeeding with AI starts with the data. 

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Features

Accelerating AI Development With Synthetic Data

Synthetic data applications are at the intersection of some of the most meaningful developments in enterprise AI. Synthetic data techniques represent some of the earliest manifestations of generative AI and predate the widespread adoption of language models. In fact, employing synthetic data is one of the foremost methods of building—and fine-tuning—language models and foundation models in general.

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.

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.

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

Boston Beer Company Leverages Syniti’s AI Solutions to Transform its Data Quality Management

Syniti recently announced the Boston Beer Company used its advanced AI technologies to transform data management processes and technology.

Optimum and Google Cloud Partner to Transform Optimum’s Customer Experience with AI Innovation

Optimum and Google Cloud are expanding their collaboration to build intelligent and personalized customer experiences across web interactions, mobile apps, call centers, and in-person kiosks.

Fluidstack Selects VAST Data to Meet AI Scalability, Reliability, and Performance Demands

VAST Data, the AI data platform company, is announcing that Fluidstack, the premier AI cloud platform, has selected the VAST Data Platform to support the large-scale, high-performance AI workloads Fluidstack provides for its customer base.

Enterprise AI Whitepapers

Accelerating generative AI deployment

The New Era of Gen AI: Enabled by Logical Data Management

Many organizations are still struggling to implement a data foundation that can scale across the increasing number of data sources and increasing volumes of data required by Gen AI; enable all Gen AI applications and other data consumers to access the data they need in real time, and in a safe and privacy-compliant manner.

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.

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