Integrate YugabyteDB with BigQuery using CDC and why you would want to.

Built with BigQuery, Live Ramp Safe Haven enables cross-channel marketing analytics to help customers execute media campaigns.

In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm.

Artificial intelligence (AI) and large language models (LLMs) have come a long way since their inception in the 1950s. From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.

All tools on our list have proven to be capable and flexible enough to fit a variety of use cases. So, how do you choose? As you review these options, assess them based on the analytics tools, reporting tools, data management features, and integrations. If you find a cost-effective tool that matches the technical abilities of your team while delivering the backend power you need, you've got a winner. Data analytics makes decision-making five times faster for organizations.

At TCS, we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data.

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments.

The growing field of precision medicine holds incredible promise for delivering better patient care and medical innovation, but there are barriers to greater implementation. As an emerging approach for disease treatment and prevention, precision medicine takes into account individual variability in genes, environment and lifestyle for each person. Its implementation has primarily been hastened by reducing sequencing costs.