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.

AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.

The year is 1424. You’re shipping goods across the world, and the ship in question gives you a bill of lading. It’s a piece of paper containing details about what your goods are, where you’re shipping them from, and where they’re headed. Fast forward to 2024. You’re shipping your goods across the world, and the shipping company gives you a bill of lading. It’s still (most likely) a piece of paper.

Science fiction no longer defines Artificial Intelligence (AI) as a futuristic trend. It now forms an essential part of our everyday life, quietly but significantly impacting how society and businesses run. AI is changing businesses and paving the way for a new era of innovation and expansion. It does this by automating routine tasks and guiding complex decision-making processes.

MIT research shows data governance is the precursor to effective AI implementation.