Slack has become the latest developer to commit to integrating AI inside of its platform, with a new Slack GPT integration that will use chatbots as your own personal business assistants. But Slack GPT also highlights another AI quirk that may fly under the radar: its short-term attention span. In March, Salesforce's Slack division announced a ChatGPT app, allowing the OpenAI chatbot to be pulled into the Slack conversational interface. Now, Slack is expanding that: Slack GPT will support ChatGPT, the Claude chatbot, and Slack's own eventual Einstein GPT chatbot as well. To avoid forcing users to scroll back through reams of chat text (say, after returning from vacation) Slack GPT will simply summarize it all for you.

At its World Tour NYC event, Salesforce has introduced Slack GPT, which it describes as a three-pronged vision that integrates AI features into the business messaging app. Slack GPT is comprised of AI-powered features built natively into the app, a new AI-ready platform that was recently made available to developers, and the availability of Einstein GPT in the app that will power its ability to instantly generate insights and summaries. Einstein GPT was developed by Salesforce as a generative AI for customer relationship management (CRM) and could assist businesses with tasks related to sales. The integrated AI features will give users access to a workflow builder that doesn't require them to know how to code. In it, they can automatically create or update a canvas, which is Slack's tool designed for collaboration.

Data can be complicated to collect and it is often even more complex to understand in a way that brings a business value. Salesforce's Tableau business unit today announced the 2023.1 release of its enterprise platform known as Tableau Server, which can run on-premises or in an organization's own virtual private cloud deployment. Tableau is generally used as a data analytics technology that helps users get insights from data. The new 2023.1 update integrates enhanced features to help organizations connect to data including a data mapping feature that has been designed to make it easier to execute analytics on any data source. There is now also a deeper integration with Salesforce's Slack messaging application in a bid to help users benefit from data analytics directly within Slack.

On February 8, 2023, Marc Benioff and Salesforce made a Twitter announcement about the teaser, giving a few cryptic hints about what to expect. Now that the official announcement has been made, the mystery surrounding Einstein GPT is slowly being cleared up. The first generative AI for CRM, Einstein GPT, was announced by Salesforce, the top provider of CRM software worldwide. This ground-breaking technology aids businesses of all sizes in automating procedures, boosting productivity, enhancing customer service and much more. By fusing NLP and machine learning, Einstein GPT can assist businesses in better understanding their clients, increasing sales, and improving marketing.

In this week's real-time analytics news: Several companies announced generative AI offerings or enhancements to their product lines. Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the important real-time analytics news items our staff came across this week. Salesforce launched Einstein GPT, a generative AI CRM technology, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction. Einstein GPT will infuse Salesforce's proprietary AI models with generative AI technology from an ecosystem of partners and real-time data from the Salesforce Data Cloud.

Salesforce is making a big deal this week of building OpenAI's GPT3 technology -- which powers ChatGPT -- into a broad swathe of its products, describing its Einstein GPT offering as "the world's first generative AI CRM technology." But as I explored in an interview published yesterday with Emergence Capital's Jake Saper, there are big risks in using these Large Language Models (LLMs) in a business context. I spent the day investigating whether Salesforce is cognizant of those risks, and what steps it is taking to ensure its customers don't fall foul of them when implementing solutions based on Einstein GPT. On the face of it, generative AI looks like it can bring a massive boost to business productivity, by making it easier to summarize information from unstructured data stored in documents, knowledgebases and message streams, preparing ready-made drafts for messages, emails and web content used in sales, service and marketing, or generating chunks of code and test routines for developers. But in more than twenty-five years of writing about and reporting on technology, I've seen enough to know that it's always sensible to look behind the hype and the enthusiastic demos to figure out what are the hidden downsides -- where could it all go wrong?

March 7, 2023 -- Salesforce (NYSE: CRM), the global leader in CRM, today launched Einstein GPT, the world's first generative AI CRM technology, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction, at hyperscale. With Einstein GPT, Salesforce will transform every customer experience with generative AI. Einstein GPT will infuse Salesforce's proprietary AI models with generative AI technology from an ecosystem of partners and real-time data from the Salesforce Data Cloud, which ingests, harmonizes, and unifies all of a company's customer data. With Einstein GPT, customers can then connect that data to OpenAI's advanced AI models out of the box, or choose their own external model and use natural-language prompts directly within their Salesforce CRM to generate content that continuously adapts to changing customer information and needs in real time. For example, Einstein GPT can generate personalized emails for salespeople to send to customers, generate specific responses for customer service professionals to more quickly answer customer questions, generate targeted content for marketers to increase campaign response rates, and auto-generate code for developers.