With Google Cloud, Toyota is running over 8,000 AI models to help 1,127 employees across 115 departments work faster and more efficiently. #TheNewWayToCloud
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Gemini 1.5 Flash’s strong capabilities, low latency, and cost efficiency have quickly made it a favorite among our customers—offering many compelling advantages over comparable models like GPT 3.5 Turbo: ⚡ 1 million token context window, which is approximately 60x bigger than the context window provided by GPT-3.5 Turbo ⚡ On average, 40% faster than GPT-3.5 Turbo when given input of 10,000 characters ⚡ Up to 4X lower input price than GPT-3.5 Turbo, with context caching enabled for inputs larger than 32,000 characters. Learn more about Gemini 1.5 Flash—now generally available → https://goo.gle/4bCTqaJ
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Try AlloyDB at no cost for 30 days with AlloyDB free trial clusters! Clusters come loaded with a powerful 8 vCPU, 64 GB RAM primary instance, and 1 TB of regional storage—more than major competitive offerings. Get started today → https://goo.gle/3WeDoz3
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Today’s leaders are eager to adopt #generativeAI technologies and tools. Yet the next question after what to do with it remains: How do you ensure risk management and governance with your AI models? To help organizations navigate AI governance challenges, we’ve outlined 10 best practices to streamline and operationalize AI implementation at scale → https://goo.gle/3QQ8IRx
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The future of farming is powered by AI. Discover how technology is transforming agriculture, leading to healthier harvests and happier farmers → https://goo.gle/3xPgS6B
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#generativeAI has the potential to improve the customer experience while driving operational and cost efficiencies. The best place to start? Low-risk use cases that offer the fastest time to value. Download our guide to learn more → https://goo.gle/3RRosUU
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A leader in personalized AI, Character.AI improves user experience by optimizing its caching layer with Memorystore for Redis Cluster. Read its journey—from initial integration to overcoming scaling hurdles and embracing Memorystore for Redis Cluster → https://goo.gle/4cDE6vq
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Sentiment analysis is a powerful tool that uses NLP to uncover the underlying emotions (🥰, 😡, 😐) within text such as customer reviews. Learn how to use ML.GENERATE_TEXT function to directly utilize LLMs from Vertex AI within your SQL queries to analyze text in a BigQuery table → https://goo.gle/4cH1vvC
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Challenge: Apex Fintech Solutions wanted to build a unified security operations platform to bring all of its tools and data together—enabling SOC analysts to identify, investigate, and respond to the latest threats faster, with confidence. Solution: Using Google Security Operations, Apex can now ingest data from multiple sources—from legacy to on-premises to SaaS—at scale and in a standard structure and supercharge its productivity with #generativeAI capabilities, powered by Gemini. Hear from the Senior Director of Information Security at Apex Fintech Solutions, Hector Pena, on how Google Cloud helps the innovative fintech platform deliver secure ways to invest and generate wealth ↓
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Put on your MythBusters construction hat and get ready to debunk some myths on platform engineering: Myth #1. Platform engineering eliminates the need for infrastructure teams Myth #2. Introducing platform engineering will dramatically impact staffing costs Myth #3. Adopting platform engineering today will quickly solve all my biggest problems Myth #4. You should apply platform engineering practices to every application Myth #5. All cloud services map to platform engineering Dive deeper into these myths and discover how platforms are built, what they do, and what they don't ↓
Another five myths about platform engineering | Google Cloud Blog
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We’re honored that Gartner has recognized Google as a Leader in the 2024 Gartner® Magic Quadrant™ for Cloud AI Developer Services (CAIDS). Learn more about this report and how we’re committed to innovation at every layer in the stack → https://goo.gle/3RU9Q7r
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