Dreamforce 2023 – How right does Salesforce get AI?
The News Dreamforce 2023 has started. It is the first post-Covid physical Dreamforce. The event has more than 40,000 participants from all over the world, which is almost small, considering past events. As usual, Dreamforce was opened by a keynote that was accompanied by a flurry of announcements. In an interesting twist, the keynote was accompanied by an analyst watch party held by Salesforce’s analyst relations. There was a “competing” watch party by the CRM Playaz. Not surprisingly, the topic of AI was front, right and center of the keynote after some emphasis on a culture of giving and the celebration of Salesforce as the #3 software vendor worldwide with an expected revenue of $34.8B US while continuing to lead the CRM market by a considerable margin. This is, indeed, quite an achievement. However, the focus of the keynote was set in the watch party by Salesforce’s Chief Enterprise Strategist Bruce Richardson with the following posting in the chat: “gen AI to boost global economy by $4.4 trillion. Since the release of ChatGPT in November 2022, it’s been all over the headlines, and businesses are racing to capture its value. Within the technology’s first few months, McKinsey research found that generative AI (gen AI) features stand to add up to $4.4 trillion to the global economy—annually. Source: McKinsey (August 23, 2023)” Consequently, much of what Salesforce currently does, capitalizes on this opportunity and helps businesses work with this opportunity. The key vehicles for this are the new Einstein 1 Platform and Einstein Copilot that comes together with a low code development environment Einstein Copilot Studio. Einstein Copilot is an “out of the box conversational AI assistant built into the user...
Salesforce lets the Genie out of the bottle!
The news During the Salesforce AI Day on June 12 as well as the Salesforce AI Industry Analyst Forum on June 20, Salesforce provided a lot of interesting information on how the company addresses the challenge – or should I say problem – of trust into artificial intelligence. Salesforce sees this gap caused by hallucinations, lack of context and data security as well as toxicity and bias. According to Salesforce, this gets compounded by the need for integrating external models into business software. To address this problem, Salesforce has announced its AI Cloud that combines an “Einstein GPT Trust Layer”, Customer 360 and its CRM to offer AI-powered business processes that are built right into the system, based on an AI that can be trusted. The main vehicle is the Einstein GPT Trust Layer that takes care of secure data retrieval from business applications, dynamic grounding to reduce the risk of hallucinations and to increase response accuracy by automatically enriching prompts with relevant business-owned data, data masking, the anonymization of sensitive data to avoid its unintentional exposure of sensitive data to external tools, toxicity detection to make sure that generated content adheres to corporate policy, is free of unwanted words or images, and unbiased, creating and maintaining an audit trail, the external (or internal) AI not retaining, storing, any corporate information that gets sent to it via the request. This trust layer sits in between the used AI models and the apps and the respective development environments. All requests to the models, along with their data, get routed through this layer, ensuring authorization protected retrieval of data, the grounding...
How a company matured with a little help of Zoho
Early May, technology vendor Zoho conducted its annual signature event Zoholics in Austin, TX. During this event, Marshall Lager and I had the opportunity to have a conversation with Jason Yoffy, director of engineering at RJG, a training and technology company that on one hand trains plastic injection molders how to make better parts with less waste and on the other hand also provides technology to support better production processes. RJG exists since 1985. It mainly serves companies in the automotive and medical industries that create safety critical and precision parts from plastic with close to 200 employees. We were interested in learning the good, the bad, and the ugly about their journey with Zoho; the needs they had, the experience on the way and, of course, where Yoffy sees scope for improvement. You can watch the complete interview on YouTube. RJG used an “antiquated, server-based”, i.e., an on-premise CRM system that the company wanted to replace as it left much to be desired. The chief concern was “enabling our sales team to sell better.” A lot of processes still were manual, which did not keep pace with the company’s fast growth. Reporting was difficult, of low accuracy, and slow. Lots of relevant data didn’t even make it into the system. Given that, there was lacking transparency in the state of the business; the teams did not get an understanding where everybody was, what the state of initiatives was. Creating a quote for a customer took far too long. While all this is not uncommon, “we wanted to grow up and find a solution that would help us move into the future.” Naturally, one...