Grzegorz Sperczyński’s Post

The Salesforce low-code platform, now renamed Einstein 1 Studio, includes the company’s Data Cloud at no extra charge. Among its features is a control panel for sharing enterprise data with large language models like GPT-4 and Llama 2, as well as Skills Builder, a tool for integrating new functions into Copilot as needed. Essentially, Einstein 1 Studio merges components from the Salesforce Data Cloud, Einstein Copilot, and Einstein Trust Layer, formerly part of the Salesforce AI Cloud. This updated version introduces a new feature alongside a rebranded one while maintaining the ability to leverage enterprise data with LLMs. #lowcode #nocode #cloud #ai

The Salesforce low-code platform, now renamed Einstein 1 Studio, includes the company’s Data Cloud at no extra charge. Among its features is a control panel for sharing enterprise data with large language models like GPT-4 and Llama 2, as well as Skills Builder, a tool for integrating new functions into Copilot as needed. Essentially, Einstein 1 Studio merges components from the Salesforce Data Cloud, Einstein Copilot, and Einstein Trust Layer, formerly part of the Salesforce AI Cloud. This updated version introduces a new feature alongside a rebranded one while maintaining the ability to leverage enterprise data with LLMs. #lowcode #nocode #cloud #ai

#AzureDaily 🚀 Exciting news: #dotNETconf Focus on AI is here! 🧠 Discover the latest in #AI and #ML technologies with exclusive sessions, workshops, and demos. Overcome challenges and boost your skills, all powered by .NET and Azure. Save your spot now! #MicrosoftAzure #DeveloperEvents

With more than 1700 #AI #models to choose from on #Azure, selecting the right one is key to enabling the right capabilities, at the right price point, and with the right protections in place. That’s where the #Azure #AI #model #catalog and #model #benchmarks can help. #GenerativeAI #ResponsibleAI #Microsoft https://lnkd.in/eeKHN9aV

More cool announcements at Build 2024 - To make Azure AI even more valuable, we continue to expand the range of models available to you AND simplify the process for you to find the right models for the apps you’re building. 

From healthcare to financial services, Microsoft's Industry Clouds have a longstanding presence. Recently, these clouds have evolved to incorporate tools that leverage generative AI and copilots, promising a transformative impact on these sectors. #Microsoft #IndustryClouds #AI #Transformation

Since launching AlloyDB AI, an integrated set of capabilities built into #AlloyDB for building #generativeAI applications, at Cloud Next '23, Google Cloud has added new capabilities that allows you to call a Vertex AI model directly from the database using SQL. By combining Google Cloud products and open-source AI tools, AlloyDB AI enables you to enhance your applications by creating new user experiences using live data. In other words, you can create dynamic AI experiences that change in real time according to changes in your database. Tabatha Lewis Intelliswift Software, Google Cloud Partners https://lnkd.in/gmvKnF5t

🚀 Choosing the Right ML Model Model Monitoring Tool 🚀 In today’s AI-driven world, ensuring machine learning models perform consistently is non-negotiable. With numerous monitoring tools available, where do you start? I've evaluated a variety of open-source, proprietary and SaaS tools to help narrow down your shortlist. Whether you prioritize ease of use, flexibility, or deep cloud integration, model monitoring is essential for AI success! 💡 https://lnkd.in/enVTPyhr #MLOps #AI #MachineLearning #ModelMonitoring #DataScience

Double the fun today! We're announcing a partnership with Microsoft which includes two collaborations with Microsoft Azure, bringing enhanced AI capabilities to the Dataloop AI platform! ⚡ We’ve integrated with Azure AI Model as a Service to empower users with advanced AI capabilities directly within the Dataloop platform and their AI workflows. They can now seamlessly benefit from the scalable and secure Azure AI model catalog, boosting their AI development. ⚡ We’re excited to share an additional integration with the Microsoft Azure AI Video Indexer, to  streamline video content analysis using dozens of advanced video and audio AI to extract rich insights within AI pipelines. Check out the news on Microsoft tech blogs and our blog: ⚡ https://lnkd.in/dD-E4Z6f ⚡ https://lnkd.in/dHMDJEXt ⚡ https://lnkd.in/d-VrhTAb  #AI #Azure #Dataloop #Microsoft #BuildMS #AIDevelopment #MaaS

Our most recent article helps you begin to analyse which ML model monitoring product is right for you. Check it out!