Sales Force Inc. With new data management and governance capabilities, it is expanding its artificial intelligence platform, which aims to say the company aims to adopt an enterprise AI, where more than 80 % of the projects fail to provide meaningful business costs.
San Francisco -based software Dev announced Thursday that a suit of new tools designed to create it is called "Trusted to the AI Foundation" Scattered data, weak governance, and security concerns for businesses that have hindered the deployment of AI in corporate United States.
"We are really failing these AI projects, and many of them because consumers still have data scattered, they still have weak rule, their still safety is bad," In an exclusive interview with Venturebet, the senior vice president and chief marketing officer of the sales force, Dessry Motimidi, said. "They really want a method that they can take on AI on a scale that has accuracy, context and control."
The sales force announcement time comes when the company prepares its annual Dream Force Conference Next week, where CEO Mark Benev is expected to present the company’s vision for what he calls "Agent Enterprise" – Workplaces where AI agents work with humans in every business function.
Why most corporate AI measures crashes and burns before production
The failure of the AI project has become an important concern for enterprise technology leaders. A according to A Rand Corporation StudyPoor data quality, inadequate framework of governance, and the integration of the scattered system are the main culprits behind the high failure rate of corporate AI measures.
This challenge has given rise to both pressure and opportunities for enterprise software providers. Although companies face growing pressure to deploy AI capabilities, many people are discovering that their current data is not ready to support reliable AI applications on the infrastructure scale.
Sales force response centers about describing Motimidi as three basic abilities: ensuring AI results is in united business data, embedting security and compliance control in each workflow, and connects AI agents to different platforms and data sources.
"The Sales Force Platform is a billion of 7 billion business," Motimidi noted, highlighting the company’s important opportunities in addressing the company’s enterprise AI infrastructure needs. "This is an important occasion where we are seeing meaningful discrimination from other shopkeepers in the market."
The Enterprise Data chaos within the new AI tools of the Sales Force is designed to fix the chaos
The company’s latest announcements include technically a number of sophisticated solutions, aimed at various aspects of the Enterprise AI challenge.
Data cloud context indexing The sales force represents a sales force approach to deal with non -imposed materials such as contracts, technical aragrams, and decisive trees. The system uses what the company calls "Lens familiar with business" To help AI agents translate complex documents in their proper business context.
"A good example of this is a field engineer who uploads a Schemetic to detect directed defects," Motimidi explained. "Now they have their ability, because it is in the same theory."
Data Cloud Clean roomNow, usually available, allows organizations to securely distribute and analyze data with partners without exposing sensitive information. Using sales force "Zero copy" Technology, companies can cooperate on data analysis without originally transmitted or duplicated.
Clean room technology extends from traditional advertising applications to sectors like banking, where companies can be "Find out the fraud, and they want to be able to do this with some of their partners. They can now do in the hours compared to the weeks," According to Motimidi.
Tableo Cementics Enterprise addresses one of the permanent challenges in data management: to ensure the permanent definition of business measurements in different systems and teams. The AI -powered spiritual layer translates raw data into a standard business language.
"We use terms like ACV or Mantra that have specific definitions in our organization," Motimidi said. "Make sure the AI understands these definitions, and then after having a standard layer in organizations, really makes it smooth for businesses."
MOLSOPT Agent Fabric To deal with sales force calls "The agent spread" – Spread the AI agents in large organizations in various platforms and shopkeepers. This system provides central registration, archery, and governance for AI agents, regardless of where they were built.
How does the sales force intend to fight for Microsoft, Google and Amazon for AI domination
A comprehensive approach to the AI infrastructure of the Sales Force gives the company directly positioned in the competition MicrosoftFor, for, for,. GoogleFor, for, for,. AmazonAnd SbinoAll of them want to become a dominant platform for the deployment of enterprise AI.
The company’s strategy relies heavily on the benefits of integration, which is derived from the construction of AI capabilities in an existing platform used by thousands of businesses. "The power of the platform" That the fact that lies in the fact "All this is locally in the platform. So these abilities are now, and they work and they work without interruption," Motimidi emphasized.
This integrated approach contradicts the solution that requires customs integration work. "Some of these points solve, if you want these things to work together, you have to prepare these alliances. You will find the Development Manufacturer teams to do this," He noted.
The company’s data management company’s Informatica pending $ 8 billion, which will be expected soon, will significantly enhance the capabilities of the sales force in the enterprise metal management. This is an important part of AI’s accuracy.
"For the past 26 years, the sales force has been connected to our platform view – we have made metadata layer from the first day," Motimidi said. "But with the information, we are going to see metad data throughout the enterprise, and this gives us another layer of accuracy of the AI’s response."
Early Enterprise users show the reality of scaling AI in large organizations
Despite the technical abilities, the Sales Force acknowledged that the enterprise AI has yet to be adopted in the early stages. Company is notified "Deployment of more than 12,000 directly of the Agent Force" – Its AI agent platform – but Motimidi describes a wide range of organizational preparations.
"Each company has a mandate right now to find out how they can add AI," He said. "We see very interesting limits from people who are just starting with people who are, as we are going to build 80 different agents in their organization."
Includes the initial users’ implementation AAA WashingtonWhich is using the Sales Force’s Unified Data Foundation to improve the experiences of members in roadside aid, insurance, and travel services. Uchicago Medicine Healthcare staff is taking advantage of the platform to ensure reliable interaction of patients while enabled to focus on human centrality care.
Enterprise AI means maturity curve to adopt "It will take a few years to fully hug, but we’re already looking at the way," According to Motimidi.
What does the sales force’s AI governance push mean for the future of enterprise software
The broader implications of the sales force’s strategy extend to the basic questions beyond the technical capabilities of how businesses will manage AI’s risk and governance. The company’s emphasis on built -in security and compliance reflects the growing corporate awareness that deployment AI without proper control can create an important business responsibility.
Recent events related to AI agents who provide access to sensitive information or providing incredible output have made corporate leaders more cautious about promoting AI measures. The sales force’s direct AI workfloose approach to embed the security – which includes an automatic risk detection contribution The crowded strike And OctaAnd for healthcare requests, built-in HIPAA compliance-to-picing represents an attempt to address these concerns.
However, there are doubts in the market. CNBC’s gym karmer Recently famous concerns Despite strong quarterly reports, about the performance of the sales force, it suggests that investors’ expectations for AI-powered growth can surpass real business results.
The success of the company will eventually depend on whether it can help businesses eliminate the difference between AI experiences and production scale deployment. As Motimidi developed it: "We really believe that we have a trust layer with all these new announcements for the Enterprise AI, and we are really helping companies leading to the process of change from cautious pilots."
Whether this vision becomes a reality, it will depend on the ability of the Sales Force to prove that integrated platforms can better solve the enterprise AI’s confidence problem better than the patch of point solution that most companies rely today. In a industry where 80 % of projects failThe company that eventually breaks the code on a reliable, expanding enterprise AI can rebuild the business – or it has been discovered that the technical challenges go far beyond any platform.