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Diving briefs:
- IT leaders are wary Autonomous AI Agentprefers to maintain some degree of human surveillance, Gartner's research was published on Tuesday. Analyst company investigated 360 IT IT Application Leader Leader in an organization with at least 250 full-time employees.
- Only 15% of IT application leaders are currently piloting, deploying or considering fully autonomous AI agents that do not require human monitoring, Gartner found. Much larger percentage – 75% – You are piloting or deploying some form of AI agent.
- less than 20% Respondent vendors believe they can provide adequate protection against hallucinations. 13% I believe their organization has the right governance in place to manage AI agents. Security concerns are also common. Nearly three-quarters of the leader Consider AI agents as new attack vectors within your organization.
Dive Insights:
Approximately 1 year Vendor-led AI Agent PushMost companies are not rushing to unfamiliar territory. The risk is high and the trust is low.
“The lack of trust is at least in part due to the speed at which AI technology is running, with many AI vendors repeatedly changing branding, cost models and product offerings.” Max Goss, Gartner's senior director analystsaid in an email.
Companies are overwhelmed by the pace of change and it will remain Night Technology Leader.
“The fact that many vendors are releasing new AI tools and agents to protect governance and security features doesn't support the story of trust.” Goth He told CIO Dive. “Organisations are concerned that vendors prioritize AI sales victory in the short term, providing scalable, reliable, enterprise-grade AI tools that can be used for the long term.”
That's the case for companies mainly Adopt AI in IT operations, and analyses from customer experience workflow and marketing process continues S&P Global Market Intelligence Released in March. But success is elusive More companies are reporting AI projects failures compared to this year in 2024.
IT departments, business leaders and end users don't always have eye contact when it comes to AI implementation.
Successful deployment of AI requires alignment between business and executive leadership over problems that AI can solve. “We see that many organizations don't have this.” Goth That's all that pointed out in Gartner's release 14% of respondents were confident Organizational consensus on what problems AI solves.
In efforts to implement the latest AI technology, corporate rifts have arisen. Most company leaders say the technology has split IT teams from other business lines. a writer Report Published In March. Employee pushbacks continue Threate the momentum.
Friction can blur use cases prioritization and implementation.
“Office productivity and digital workplaces are the defaults for organizations that don't have a strong grasp of what they're doing with agents, but they're not necessarily the areas they provide to organizations that provide the most value,” he said. Goth.
Gartner recommends that organizations continue to repeat use cases and review providers that tap on tools.
The major AI vendors are Provides multi-model support and Adopting interoperability protocolsindicating a growing perception that a single model or family is unlikely to meet the organization's needs. Goth.
“Best practices are understanding what your business and organization have, what your AI tool or tool can address these, and knowing how you can adjust how you measure success while ensuring that your AI tool is confident in how your data is processed and protected,” Gos said.
