Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions. In this world, AI is the new BI.

We’re excited to announce the ClearML 3.23 Enterprise Release. This release further helps AI builders speed models into production as well as monitor their usage, combining new features with new views and shortcuts that improve ease of use.

Data analytics and business intelligence (BI) are key for driving informed decisions, and today's best solutions make use of artificial intelligence (AI) to help users along the way. AI chatbots, powered by natural language and machine learning (ML), are one such intelligent tool that can quickly analyze large datasets, helping your business users find helpful answers to queries, get recommendations, and even uncover valuable insights.

At Snowflake BUILD, we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These new tools streamline workflows, deliver insights at scale, and get AI apps into production quickly. Customers such as Skai have used these capabilities to bring their generative AI solution into production in just two days instead of months.

Is AI taking up human jobs? Can AI replace human intelligence? Will Artificial Intelligence replace humans in a few years? Well, these questions are in the news and spreading like wildfire on the internet leaving no one behind. This rapid advancement of AI has sparked intense debates about the potential implications for the future of work and the role of humans in a world increasingly driven by intelligent machines.

Learn about the challenges of natural language to SQL (NL2SQL), and how to implement it on Google Cloud with BigQuery and Gemini.

Learn how BigQuery and Document AI Layout Parser can help with document preprocessing when building retrieval-augmented generation (RAG) pipelines.

Artificial intelligence (AI) was a major topic at Appian Government 2024, the premier event for public sector digital transformation leaders and mission owners. Most AI products are created on the West Coast, with commercial customers in mind. But commercial enterprises and government organizations differ in many ways. Important issues that affect the federal government’s approach to AI include: For 25 years, Appian has focused on serving public sector organizations.

The rise of AI has transformed how businesses operate, creating a surge in demand for AI-driven APIs, particularly those that leverage Large Language Models (LLMs). These APIs are at the heart of many modern applications, driving automation, customer interaction, and sophisticated data analysis. However, with this increased use comes a need for organizations to effectively monitor and manage the costs and consumption of these APIs.