Built on BigQuery, Dataplex provides data governance with automated data discovery, curation and management at scale.

Support for conversational data agents with Gemini and enhancements to BigQuery provide a unified data platform for connecting all your data to AI.

As a serverless, managed service, the new BigQuery Engine for Apache Flink helps organizations bring real-time streaming data to Google AI services.

After being recognized by Gartner as the leading generative analytics experience for augmented analytics, ThoughtSpot’s SpotIQ just got an upgrade. As an integral part of ThoughtSpot’s core platform for nearly seven years, SpotIQ has unlocked the value of billions of rows of data for hundreds of customers. Even more inspiring are the customer testimonials highlighting how SpotIQ empowers business users to perform complex analytics and analyze key metrics—even on the go.

We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference.

AI has entered many aspects of data integration, including data mapping. AI data mapping involves smart identification and mapping of data from one place to another. Sometimes, creating data pipelines manually can be important. The process might require complex transformations between the source and target schemas while setting up custom mappings.

Companies use a wide range of both artificial intelligence (AI) and automation tools, and each automation tool serves a different purpose, often working together to boost efficiency. In this blog, we’ll explore the differences between AI and automation, how they can complement each other through intelligent automation, and five real-world examples of how they work together. We’ll also highlight the benefits of using AI in business process automation.

At first glance, ClearML’s AI Development Center and alternatives such as Weights & Biases seem to offer similar capabilities for MLOps. For example, both solutions support experiment management, data management, and orchestration. However, each product is designed to solve a different use case. It is important to understand how these approaches affect the user experience.

According to IndustryARC, the AI market in the travel and hospitality sector is projected to surpass $1.2 billion by 2026, with an anticipated CAGR of over 9.7% from 2021 to 2026. Artificial intelligence is reshaping the travel experience, guiding every step from the initial spark of wanderlust to when travelers return home. A new wave of AI-powered chatbots simplifies the booking process by managing tasks like flight searches, hotel reservations, payments, and even baggage tracking.