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Natural Language Processing
From search engines and virtual assistants to translation and sentiment analysis, the ability for machines to understand, interpret, and generate human language is a key pillar of modern communication and data analysis. By automating text processing, improving search capabilities, supporting advanced analytics, and fostering innovation, Natural Language Processing (NLP) is a foundational technology in today's digital world.

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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.

AI Enhances Customer Service in Several Ways

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.

The Homepage of the Future: Evolution, AI, and the End of Navigation

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.

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

HubSpot Launches Deep Research Connector with ChatGPT

HubSpot announced it has become the first CRM to launch a Deep Research Connector with ChatGPT—and the first third-party MCP connector available in the ChatGPT Registry built with a remote Model Context Protocol (MCP) server.

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.

Cengage Student Assistant Powers Personalized Learning with AI

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.

Enterprise AI Whitepapers

AI-Ready Data for GenAI Success

Semantic Layers for the AI Era: Real-Time Access, Smarter Decisions

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.