At the TDX 2025 developer conference in san francisco, salesforce executives presented its agentforce agentic ai technology as a “with system” approach Less significant than a “trinity” of data, applications and agents. Relatedly, they consistently dispaion “diy” Artificial Intelligence (AI) Programmes.
Paula Goldman, The Supplier's Chief Ethical and Humane Use Officer, Said: “I think a lot of the public discourses about ai has been about [large language] Models. But if you think about agentforce, it's a whole system. There's a foundation model, and then there's a series of smaller models that go into our ato atlas system, and there are workflows that are automated that people can draw on. We've got used to talking about
David Schmier, President and Chief Product Officer at Slesforce, Said the Supplier's Entre Technology Stack, Including Slack and TableA, Comes into Play Play Play AGENTFORCE. He also pointed to its data cloud platform as central to its offer.
“You couldn't have a computer without a microprocessor; You need storage and ram and a display and an operating system is it. That's what we've don. We have our data cloud, which harmonies hundreds of thirds of systems. It gives you the data, the metadata and the semantics. That's why we can outperform an Llm By Itself. Llms have hallucinations, they have bias, toxicity. An LLM is Necessary But Insufficient. We add to the llm. Our view is the data powers the ai and then ai power the customer experience of the future, “He said.
An LLM is Necessary But Insufficient. We add to the llm. Our view is the data powers the Ai and then AI Powers The Customer Experience of the future
David schmier, salesforce
“We call it the 'Holy Trinity'. We have the data cloud, then we have our sales cloud, service cloud and marketing cloud apps – which is how we get the name salesforce – as well as slack, molesoft and TableauAnd now we have agenforce on top of all that. That's how we can turn on 10,600 customers over three days with agents. It's trust we are using the same platform as we have 25 years. So, with a healthcare company, for example, that has workflows it has bult in its salesforce deployment, it can make all there available for [virtual] Agents, “Schmier Added.
He believes too many organisations are doing diy ai. “Most People are just trying to takeover apps they have, when it's salesforce or sap or workday, and just buying Chatgpt And trying to plug it in. No other competitor has what we have, in terms of agents. We think we have a real lead in this agentic field. We've Sold to 5,200 Customers Since Launching at Daramforce [in September 2024]Now, we have 200,000 customers, and most don't use agentforce today, ”He said.
Rahul Auradkar, Executive Vice-PRESIDENT and General Manager of Unified Data Services and Einstein at Salesforce, Made a Simillar Argument About What The Provider Calls Diy Ai.
“What we doing with agents is an entre system. We're not shipping a model, an app or a copilot. We're Shipping an AI System on a Deeply Unified Platform. What that System Allows Our Enterprise Customers, Who given Want to do the diy, to do is surface customer-textric analytics and workflows, and listen to the customers to the customers to feed box So the System So the Syntm So the SOT Better. Copilots are a narrow sliver of what ai can be, “He said.
“The differentice between a diy ai and an enterprise using [our] System is that enterprise can focus on things that they are good at, which is planty of things. They have their data. The have their transactions. They have their engagement data. They have their ai policies, their workflows, their automats. We brings all that Together within a Deeply Unified Platform and Drive Value for Our Customers, “Added auradkar.
Diy AI Programmes Strongly in Evidence Among Users
And Yet, Analyst Research from Informa Techtarget's Enterprise Strategy Group (ESG) offers a contrast with salesforce's disparativece of diy ai – a Complicating contrast rather than a contingent, but A Contrast Nevertheles.
Towards the end of 2024, ESG Surveyed 832 Professionals at Organizations Across the Globe Involved in the Strategy, Decision-Making, Selection, Development and Management of MANAGEMENT OF GENAIGEMENGEMENT OF GENAINAI) Initiatives and Projects at their organizations and family with their organization's use of third parties to support genai initiatives.
The resulting report, The state of the generative ai market: widespread transformation continues – Authorized by Mark BCCUE, Principal Analyst, Mike Leone, Practice Director and Principal Analyst, and Emily Marsh, Associate Research Director – Dose Find Suppport for an agentic ai philosophy: “Respondents most often said that they see ai agents, virtual assists, and intelligent chatbots power power Optimism (41%). Over two-thirds of organizations are planning for or considering ai agents, which represents a significant options
They also Note, however: “The Ai Agent Market is extramely nascent and loaded with challenges, including managing single-task agents, interoperability problems, interoperability problems, the potent emergence of multitaska today Security. “
But the authors also remark, similar to salesforce's auradkar, that: “A wide Majority (84%) of Respondents Agreed It is Important to IncorPOREPORATE his Own Enterprise Data Into MODELSE DATA Generative ai. Genai models themselves are not a competitive differentiator. Rather, effectively identifying, organizing and vetting internal data for use with genai models is the key to creating unique and highly actionable orders. “
The research also found user organisations to be embracing a variety of llms – Open source and proprietary. The largest percentage of Respondent Organizations (43%) are both proprietary and open source models.
AlongSide this Enthusiasm for Using Large Language Models, The Study Found That Organizations are Placing “Their Bets on Internal Resources, Planning to Reskill Emplooyees (58%) and Provide Awareness training to Employees (43%) “. This sugges a growing cadre of employees who will want to do diy ai.
The Authors Comment: “Employee enthusiasm for these technologies is likely at a high point as genai experts pervades many faces of social, so this internal invoice will lickly be a-vein sitting Whereby Personnel Receive Welcome Development Opportunities and The Business Gains Valuable Genai Expertise. “
At Dreamforce in September 2024Marc Benioff, Co-Founder, Chairman and CEO of SAILESFORCE, WAS in Combative Mood in Respect of Agentforce, Positioning it as a as ais a wholescale alternative to Generative Ai Copilot UsageAssociated with Microsoft and Google, but with other vendors too.
“There's a lot of narratives out there from vendors, and a lot of it is not true,” He said at the time. “You need to sit with that those customers [at the Dreamforce event]Look at the code and break the hypnosis coming from all the vendors. There's Planty of real customers here who are really deploying real ai. But there are billions being invested in copilots, delivering how much production increase? Is there a better way to do it? And so, that's our gambit. “
The game is still being played. The middle game Lies ahead.
