Although the initial seeds of generative AI (GenAI) were planted in the 1960s, for the most part it didn't come into full bloom until the introduction of ChatGPT in November 2022. Before that, GenAI had all but the most nascent use in business. As the technology entered the public consciousness, it spread across industries from entertainment to manufacturing to healthcare for a wide variety of uses, including customer service.
Phillip Britt //
28 Apr 2025
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.
Jelani Harper //
22 Apr 2025
The AI revolution is upon us. A tidal wave of AI technology is sweeping across businesses, fundamentally reshaping how employees, managers, and AI system developers approach their work.
James A. Larson //
18 Mar 2025
Enterprises increasingly rely on chatbots, voicebots, and virtual assistants to service more customers without adding to their staff count. These devices can be connected by a single underlying software platform, although there are several companies that use these devices independent of each other.
Phillip Britt //
13 Feb 2025
Cengage, the higher education business of global edtech company Cengage Group, is expanding the availability of its generative artificial intelligence (GenAI) tool, Student Assistant, giving more than one million students access to Student Assistant.
Stephanie Simone //
09 Apr 2025
Securiti, a pioneer of Data+AI Command Center, announced that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to enable Gencore AI's integration with Amazon Bedrock.
Stephanie Simone //
01 Apr 2025
Zuvu AI and Vana are announcing a strategic partnership to advance decentralized AI by integrating user-owned data, permissionless compute, and economic incentives.
Stephanie Simone //
05 Mar 2025
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.
23 Feb 2025
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.
02 Aug 2024
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.
17 Jul 2024
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.
07 Jun 2024