Paul Gottsegen’s Post

🚀 I want to share with you an exciting new feature that will revolutionize the way you automate your business processes with Salesforce: Einstein for Flow. Einstein for Flow is a generative AI tool that leverages large language models (LLMs) to power process automation across Salesforce products. It enables you to easily create functional Salesforce Flows via natural language prompts. You simply describe your flow requirement in plain words, and Einstein for Flow will generate the corresponding flow data for you. No coding is required! This is a game-changer for Salesforce admins, whether you are new to Flow or an experienced user. With Einstein for Flow, you can save time, reduce errors, and unleash your creativity. You can also take advantage of the latest AI innovations from Salesforce, such as CodeGen, an in-house LLM that powers Einstein for Flow. If you want to learn more about Einstein for Flow, how it works, and what’s next on the roadmap, I highly recommend you read this blog post by Cesar Castro. They also delivered a presentation at Dreamforce '23 that you can watch below 👇. I hope you find this feature as exciting as I do. Please follow me on LinkedIn for more posts like this and share your thoughts and feedback in the comments. #EinsteinForFlow #salesforce #salesforceeinstein #salesforceadmin Thank you for reading! 😊

[Daily Focus News] Big Tech "Today at the Dreamforce customer conference in San Francisco, #Salesforce announced #EinsteinCopilotStudio, a tool that lets customers customize the Salesforce base Einstein GPT and Einstein Copilot offerings. Einstein Copilot Studio consists of three elements: prompt builder, skills builder and model builder, according to Clara Shih, CEO of Salesforce AI. “The first piece is the prompt builder, and this is for customers who want to customize the prompt templates that have been included in Einstein GPT,” Shih told TechCrunch. That means customers can add their own custom prompts for their products or brand or to include items specific to their business or market that aren’t available out of the box with Einstein GPT or Einstein Copilot." #salesforce #salesforceai #dreamforce #einsteincopilotstudio #einsteingpt #einsteincopilot #ai #artificialintelligence #kotrasvitv #kotra

🔥 The AI landscape is evolving fast, and Salesforce is leading the charge with an agnostic approach to Large Language Models (LLMs). This year, they've rolled out 16 AI capabilities, integrating generative AI into every corner of the organization, from Slack to marketing and commerce. 💡 Building on their legacy of pioneering AI in CRM with Einstein, Salesforce now welcomes other providers' models into their platform. You can use Salesforce's in-house LLM or tap into external models. This blend of flexibility and innovation is opening new possibilities for using AI alongside your CRM. Stay tuned as we dive deeper into this exciting new era of AI modeling! https://lnkd.in/gSi6RYCm

Salesforce Einstein Studio for LLM Einstein Studio is designed to help enterprises connect their Salesforce data to any AI or large language model, including Llama 2 and OpenAI’s GPT 4. https://lnkd.in/gTBBN5yz Anybody has firsthand experience ?

This could be the start of a trend toward specific AI devtoolsets for various use cases.

AI is top of mind. So is: Trust. Data. Accuracy. Speed. Openness. Agility. Urgency. Ultimately it’s a journey. One where we will do our absolute best to understand what our customers need while trailblazing the future of trusted AI in the flow of work. As Clara Shih puts its, “What have you found essential in your enterprise adoption of AI?”

We’re excited to see the groundbreaking advancements in AI that Salesforce's Einstein Studio are promising to bring! ✨ Is it all going a bit fast for your business, or are you jumping right in? #AI #Salesforce #EinsteinStudio

A question often heard: 'Is it possible to implement edge (decentralized) AI that matches the capabilities of generative (centralized) AI with a managed cost?' The debate for edge AI to share capabilities also arises. Having an independent AI model on each edge device could lead to enhanced trust, speed, and agility.

2023 has been a whirlwind. The Salesforce AI Team is learning every day from customers using our new generative AI products -- often in concert with our predictive AI. In fact, Einstein now delivers over 1T predictions per week! As we head into 2024, here's what I see helping companies get the most out of AI, securely and responsibly: 1. Trusted, high-quality data 💡: A unified set of high-quality data, consisting of both structured (database) and unstructured data (such as PDFs, emails, voice transcripts), is key to relevant AI outputs. These need to meet enterprise security standards, comply with regulations, and honor data sharing rules -- hence our Einstein Trust Layer, Hyperforce architecture, and Data Cloud. https://lnkd.in/gN3wv6k8 2. Fast, accurate search & retrieval ⚡: Retrieval augmented generation, or RAG, is a method for retrieving data to ground prompts with accurate, up-to-date information, and makes citations and audit trails possible. It relies on secure, performant hybrid search across both keyword (for structured data) and vector search (for unstructured data), which we're excited add to the Einstein 1 Platform! https://lnkd.in/g3M_KjMm 3. Open model ecosystem offering both large and small models 🌱: At this early stage of development, savvy customers are taking precautions to avoid LLM vendor lock-in. We believe providing customers with more choice optimizes for cost, latency, and performance while retaining optionality. In parallel, our Salesforce AI Research Group is developing a variety of domain-specific, privacy-first models including CodeGen and BLIP. https://lnkd.in/gq9TcU2x 4. Culture of urgency & agility 🐎 : The AI revolution is happening at unprecedented speed. Just as our own AI + Data engineering teams have accelerated from 3X product releases/year to shipping every 2-3 weeks, our Professional Services organization and trusted partners like Accenture, Deloitte, PwC, McKinsey & Company, Bain & Company are helping customers accelerate your learning and innovation. 5. Spreading the AI love 💙 : Salesforce Accelerator – AI for Impact, is our philanthropic initiative to help community organizations gain access to trusted generative AI, to ensure that everyone benefits. What have you found essential in your enterprise adoption of AI? https://lnkd.in/gx_fuxJf

As we continue to work with clients on reinventing their businesses using #saleforce AI, the key solution points always continue to be centered around the criticality of Data and integration with broader enterprise ecosystem. Love Clara Shih insights here on how Einstein with its Open model ecosystem, Trust layer and #datacloud addresses lots of these enterprise aggregation and integration criticalities in bringing intelligence quickly to end users. Learn more about #pwc Salesforce AI solutions, https://lnkd.in/ghTDyZBr