Hey there! Have you ever found yourself scratching your head over unpredictable cloud data costs? It’s no secret that accurately forecasting cloud data spend can be a real headache. Fluctuating costs make it challenging to plan and allocate resources effectively, leaving businesses vulnerable to budget overruns and financial challenges. But don’t worry, we’ve got you covered!

In today's data-driven world, companies rely heavily on business intelligence (BI) platforms to gain valuable insights and make informed decisions. Yellowfin, specializing in embedded analytics, stands out with its automation features (automated business monitoring). These capabilities have revolutionized the BI landscape, transforming it from basic reporting to self-service analytics and providing companies unparalleled benefits.

BigQuery ML inference engine lets you run inference over custom models, remote models, and pretrained models within your machine learning workflow.

You can now generate text embeddings in BigQuery and apply them to downstream application tasks using familiar SQL commands.

TraceMark’s sustainable sourcing monitoring platform provides transparency into global supply chains about the sourcing of raw materials.

Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.

Cloud computing is proliferating businesses across all industries. According to a recent survey by the Harvard Business Review, 81% of respondents said cloud is very or extremely important to their company’s growth strategy. Overall, nearly two-thirds of senior executives stated their businesses have accelerated their plans to migrate to the cloud.

Atlas AI‘s geospatial artificial intelligence platform that helps organizations anticipate changing societal conditions to help them make investment decisions.