Talk to the map: How CARTO is making GIS more conversational using BigQuery
Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.
Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.
Here’s what customer loyalty looks like to us at Wellthy and the data-driven tactics we rely on to keep our customers coming back for more.
Since the inception of our cloud journey, we have extensively utilized Let's Encrypt because it has been very reliable, fully automated, open, and free. Today, we’re proud to become an official sponsor of Let’s Encrypt. In this blog post, we’re celebrating this event by explaining our journey with Let’s Encrypt, how we integrate with their service, and why we chose them.
Ternary consolidates billing data from customers’ cloud service providers, ISVs, and other data sources using BigQuery and other Google Cloud services.
In today’s fast-paced digital landscape, delivering reliable software products is crucial for businesses to maintain customer satisfaction and trust. This is especially true for WordPress brands like GiveWP, a prominent donation platform, and StellarWP, a collective of WordPress-related products. For Ben Meredith and his team, ensuring quality assurance became a challenging task. Enter Ghost Inspector!
The company is a global leader in toll-based mobility solutions and services, providing innovative and reliable solutions for customers around the world. As part of its commitment to delivering high-quality products and services, the company recognized the need to modernize its testing process and improve overall efficiency.
DBS Bank leverages Unravel to identify inefficiencies across 10,000s of data applications/pipelines and guide individual developers and engineers on how, where, and what to improve—no matter what technology or platform they’re using.
One of the world’s largest logistics companies leverages automation and AI to empower every individual data engineer with self-service capability to optimize their jobs for performance and cost. The company was able to cut its cloud data costs by 70% in six months—and keep them down with automated 360° cost visibility, prescriptive guidance, and guardrails for its 3,000 data engineers across the globe.