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 evolution of web homepages reflects the internet's transformation during the past 3 decades. From simple, text-based pages to sophisticated, AI-driven interfaces, homepages have adapted to meet changing user needs and technological advancements.
Dobrica Savic //
11 Jun 2025
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.
Daniel W. Rasmus //
10 Sep 2024
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.
John O'Brien //
25 Sep 2024
RateGain Travel Technologies Limited (RateGain), a global leader in AI-powered SaaS solutions for travel and hospitality, is partnering with Cloudbeds, the AI-powered platform fueling hotel growth.
Stephanie Simone //
08 Jul 2025
Syniti recently announced the Boston Beer Company used its advanced AI technologies to transform data management processes and technology.
Stephanie Simone //
06 Jun 2025
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.
Stephanie Simone //
12 May 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