#enterprise-ai

#enterprise-ai

"You have to pay them a lot because there's not a lot of these people for the world," Gomez said. "And so there's tons of demand for these people, but there's not enough of those people to do the work the world needs. And it turns out that these models are best at the types of things those people do."

Everybody would say yes, but we kept moving the goalposts," Ghodsi said in the discussion, which was published Tuesday.

"The customer can set up their own tagging system or we can dynamically create that for them,"

Without really knowing how work is done, it is really hard to know where to improve it, where to automate it, where agents can help.

PromptQL is an enterprise platform that aims to automate some of the work of a typical consultant, like surfacing insights and generating reports. It helps clients build custom AI analysts by integrating their internal data with the foundation models they already use. Once deployed, these AI analysts can perform tasks typically handled by data scientists or engineers - and continuously learn and adapt to their environments over time.

In the UK, artificial intelligence (AI) is no longer a buzzword reserved for tech conferences and research labs - it's an engine driving tangible transformation across industries. Healthcare, in particular, stands at the forefront of this change. From automating administrative tasks to accelerating medical research, AI is creating opportunities for both the public and private sectors to work smarter and more efficiently. A new era of intelligent healthcare solutions

ServiceNow CEO Bill McDermott does not see artificial intelligence as a threat to business software, but rather as an opportunity to increase the value of enterprise platforms. According to him, the future lies not in autonomous AI systems that render traditional software obsolete, but in close collaboration between AI models, hyperscalers, and integrated business solutions. In an interview with CNBC, McDermott explained that ServiceNow has aligned its strategy with collaboration with the three largest hyperscalers.

Dreamforce 2025 is imminent, with 50,000 people due to descend on the Moscone Center to hear about the latest advancements across its cloud, data, collaboration, and AI offerings. In the past few years, Salesforce has gone from strength to strength, with sustained growth and an exploding customer base for its offerings. The CRM giant has gone all in on enterprise AI in moves to meet customer demand, recording 120% revenue growth across its Data Cloud & AI segments in FY25.

Google on Thursday launched a comprehensive AI platform for businesses called Gemini Enterprise, the latest effort by the Alphabet-owned company to compete with Anthropic and OpenAI in the fast-growing market for workplace AI tools. As part of the launch, Google announced several new Gemini Enterprise customers, including the software design firm Figma; the buy-now-pay-later company Klarna; the foodservice distributor Gordon Foods; Australian retail bank Macquarie Bank; and Virgin Voyages,

[without a] central repository for conversations, valuable insights go untapped. Otter enables organizations to realize the full potential of meetings by creating proprietary intellectual property from all conversations and building a comprehensive corporate knowledge base that scales with business growth.

For years, security leaders have treated artificial intelligence as an "emerging" technology, something to keep an eye on but not yet mission-critical. A new Enterprise AI and SaaS Data Security Report by AI & Browser Security company LayerX proves just how outdated that mindset has become. Far from a future concern, AI is already the single largest uncontrolled channel for corporate data exfiltration-bigger than shadow SaaS or unmanaged file sharing.

According to Rajat Taneja, Visa's president of technology, the global payments company has woven AI into every part of its business. Employees across Visa are tapping AI in their everyday workflows for tasks ranging from data analysis to software development. The company has built more than 100 internal AI-powered business applications tailored to specific use cases and has over 2,500 engineers working specifically on AI. Visa is also using AI to create new products and services for its customers, such as faster onboarding, simplified processes for managing disputes, and infrastructure for agentic AI technologies.

On Thursday at an internal town hall, BNY CEO Robin Vince unveiled the next-generation version of Eliza, its AI platform that allows employees to create bespoke agents and carry out tasks such as accelerated check processing built on reams of company data. "We think of AI as generating capacity for us," Vince said at the town hall. According to a BNY spokesperson, 98% of the company's employees are trained on generative AI, with the majority using Eliza daily.

Employees will soon have access to a single integrated platform where enterprise knowledge, data, and actions come together. The new capabilities include searching across all of an organization's key data sources, including Workday's own data cloud, as well as Google Drive, SharePoint, and Office365. AI agents can act proactively by anticipating needs, summarizing insights, and providing support for projects. In addition, these agents are enabled to create presentations, documents, dashboards, and even entire learning courses based on existing company data.

"What we had noticed was there was an underlying problem with our data," Ahuja said. When her team investigated what had happened, they found that Salesforce had published contradictory "knowledge articles" on its website."It wasn't actually the agent. It was the agent that helped us identify a problem that always existed," Ahuja said. "We turned it into an auditor agent that actually checked our content across our public site for anomalies. Once we'd cleaned up our underlying data, we pointed it back out, and it's been functional."

Many customers say, 'I don't really have an AI problem, I have a data problem.' They need to prepare their data. Files here, images there, videos elsewhere - they have these legacy platforms that don't support unified access. The challenge becomes quite complex because most enterprise data is unstructured: contracts, invoices, videos, presentations, and it's scattered across different systems. The real value comes from bridging unstructured and structured data.

Varshney comes from IBM, where he was the head of data and artificial intelligence for the technology pioneer's consulting business. At Citi, he will report to Anand Selva, the bank's chief operating officer; and will work closely with the firm's chief technology officer, David Griffiths, to scale AI across the company, according to a memo sent to Citi employees on Tuesday morning seen by Business Insider.

For the past five years, much of the enterprise conversation around artificial intelligence (AI) has revolved around access - with access to application programming interfaces (APIs) from hyperscalers, pre-trained models, and plug-and-play integrations promising productivity gains. This phase made sense. Leaders wanted to move quickly, experimenting with AI without the cost of building models from scratch. " AI-as-a-service " lowered barriers and accelerated adoption.

Despite the hype surrounding artificial intelligence, C3.ai seems stuck in neutral, failing to capitalize on the sector's explosive growth. The old Wall Street adage, "buy the rumor, sell the news," doesn't quite fit here. With C3.ai, the strategy appears to be sell the rumor, sell the news, and, frankly, just sell the stock. The company's inability to turn AI enthusiasm into sales or profits, coupled with leadership turmoil, paints a grim picture for its future.