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 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.

Developing a Strong AI Governance Framework

The exponential advancement of AI technologies necessitates the implementation of robust governance frameworks to guide their responsible development and deployment.

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.

Scan Computers Picks PEAK:AIO to Power its GPUaaS

PEAK:AIO, a software-defined storage provider built exclusively for GPU-powered AI workloads, announced it has been chosen by Scan Computers, a NVIDIA Elite Partner, to power its latest expansion of GPU-as-a-Service (GPUaaS).

Zuvu AI and Vana Collaborate on Decentralized AI in the Bittensor Ecosystem

Zuvu AI and Vana are announcing a strategic partnership to advance decentralized AI by integrating user-owned data, permissionless compute, and economic incentives.

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.