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When you deploy a vendor’s AI, who is it really working for? IT leaders and experts offer insights on how to ensure AI aligns with your company’s best interests.
Flexibility, expertise, and proactivity are main qualities CIOs look for in a partnership. Vendors have to fit the bill, too, in terms of affordability, and providing potential to scale and grow. Whatever the arrangement, make sure to have a clear understanding with your CEO.
Frank Feagans, VP of IT and CIO at the University of Texas at Dallas, recently spoke with IDC’s VP, tech evangelist Lee Rennick about channelling the human experience through the AI governance strategy, and the benefits of bringing IT best practices and workforce development methods from private industry to higher ed.
Even though many companies report positive ROI from gen AI, IT leaders don't always know how to actually measure it, and the vast majority of AI projects fail. So what's the real story, and what metrics are important to gauge AI success?
For many businesses, unlocking full potential requires partnering with other tech organizations. But partnerships depend on more than just the tech itself.
Technology is integral to business strategy, yet an alarming number of companies have fallen behind in tech adoption. The right partners can be the solution.
Ensuring transparency in AI-generated RFPs and holding vendors accountable is a vital part of the SI evaluation process. Here’s what organizations should look out for.
Rachna Gandhi, global chief digital and data officer at Ramsay Health Care, recently sat with CIO editorial director in Australia and New Zealand Cathy O'Sullivan to discuss technology and human synergies through AI-enhanced people-centered care, and creating a single source of truth for the organization’s data.
Whether it’s global trade disruptions, agentic AI, or reskilling the workforce, your technological resilience will define how effectively you can respond.
At Knowledge 2025, ServiceNow debuted its Workflow Data Network ecosystem of partners to support workflow automation with AI. It also introduced a slate of new agents to assist autonomous IT.
At its Knowledge 2025 conference in Las Vegas, the information technology service management (ITSM) company debuted the AI Control Tower to manage, monitor, and optimize AI assets, and declared its AI Agent Fabric as the “communication backbone” of enterprise AI ecosystems.
The modular platform for building and customizing gen AI models and AI agents is the foundation for the tech company’s data flywheel.
Since Japan hosted the 2019 Rugby World Cup, the JRFU has launched the Japan Rugby 2050 initiative to raise the global appeal of Japanese rugby. One aspect of it is a robust, cloud-based approach to media to achieve better efficiencies.
It’s estimated that nearly 50% of business leaders are planning to increase investment in agentic AI within the next year—driving a new era of proactive and autonomous risk management across industries.
The post Risk Management Reimagined: AI Strategies from Business Leaders appeared first on Whitepaper Repository -.
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