Dive into the world of AI and decision-making with our latest blog post on Markov Decision Processes (MDPs) – your ultimate guide to understanding how to make optimal choices in a world filled with uncertainty and adventure! 🤖🌟 https://hubs.li/Q02hZz9Q0 https://hubs.li/Q02hZz9Q0
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Dive into the world of AI and decision-making with our latest blog post on Markov Decision Processes (MDPs) – your ultimate guide to understanding how to make optimal choices in a world filled with uncertainty and adventure! 🤖🌟 https://hubs.li/Q02hZGNf0 https://hubs.li/Q02hZGNf0
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Our new whitepaper is out: "UNLOCK AI'S POTENTIAL WITH PROMPT ENGINEERING". In the world of #AI, conversation matters most. Learn how carefully crafting prompts boosts accuracy and keeps users engaged. Discover how to make the most of large language models with tips on customization and evaluation. Let's make AI interactions even better! #AI #PromptDesign #SoftServe #LLM
Navigate the complexities of AI with ease. Our brand new white paper invites you to explore how to optimize AI systems for peak performance. Discover strategies for enhanced accuracy and efficiency: https://lnkd.in/d7tjT7-V
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Navigate the complexities of AI with ease. Our brand new white paper invites you to explore how to optimize AI systems for peak performance. Discover strategies for enhanced accuracy and efficiency: https://lnkd.in/d7tjT7-V
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11x more AI models successfully made it into production in the last year. Data and AI is hard but many of our customers are realising the value from their use cases having developed a robust approach to MLOps and actually getting them into production! Based on recent customer engagements had a gut feeling this was the case but it’s great to see this analysis of our customer base and the stats behind it.
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
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Interesting post to review for any Data Professionals that are responsible for building and putting ML models into production! Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK Activate to view larger image,
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
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Are you looking to learn more about the applications of Generative Ai for your organisation? Insight breaks down business use cases that can help you navigate this new frontier. Read now: http://ms.spr.ly/6044ipXyE
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Join this session with Andy Hock, to learn how you can build large language and generative AI models specifically for their business needs through use cases, and real-world examples. Register now for free–there’s just 1 week left. https://hubs.ly/Q026npmq0
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How can your business engage with AI? In this video, hear from Insight experts to learn more about the possibilities of AI and how organizations like yours can tap into this technology to move the needle: http://ms.spr.ly/6041cLm3H
Reach your business goals with AI
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This is a great chart which shows just how efficient it is to get your data science team set up on databricks. If you want to see more DS projects make it to production, the right platform is the key! At Tempered AI, we have experienced consultants that can help your team accelerate adopting MLOps on Databricks.
Our data shows that organizations have become 3x more efficient at putting ML models into production in just 14 months. They're spending fewer resources on experimental models that never provide real-world value. We break down these trends and more in the State of Data + AI, which examines usage data from our 10,000+ global customers. https://dbricks.co/3KB4OIK
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Businesses need pricing clarity as generative AI services hit the market: Transparency around how exactly services are charged will be essential as organizations look to avoid bill shock from consuming generative artificial intelligence tools. https://lnkd.in/gZyDtBaB
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