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In your journey, what's one overlooked data skill that you wish you focused on earlier? 🤔
An AI model can only be as good as the data it’s trained on. And where better to get quality data than in your trusted enterprise databases and data warehouses?
During Google Cloud Next, we launched some amazing new features that can help along your AI journey. Take a look at a few of our favorite announcement this week:
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Databases enhancements: Google Cloud databases are more AI-capable than ever. AlloyDB AI includes new vector capabilities, easier access to remote models, and flexible natural language support. Firestore, meanwhile, joins the long list of Google databases with strong vector search capabilities.
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Big news for BigQuery: We’re anchoring on BigQuery as our unified data analytics platform, including across clouds via BigQuery Omni. BigQuery also gets a new data canvas — a new natural language-based experience for data exploration, curation, wrangling, analysis, and visualization workflows.
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Last but not least, you can now ground your models in not only in your enterprise data, but also in Google Search results, so they have access to the latest, high-quality information.
Did we miss one of your favorite announcements? Get your no cost digital pass to access keynotes, breakout sessions, and more on demand content from the event. Tell us what Google Cloud Next announcement has you most pumped (and earn a special badge!) in the comments below⬇️
