A key leadership responsibility for CIOs is to guide teams through an IT reorganization. As CIOs transition to a product-aligned operating model to support digital delivery, questions arise. Which organizational structure best supports new priorities? Should functions move outside of IT? Where do governance and planning functions fit in this model? Join this complimentary Gartner IT webinar to explore case examples from CIOs who have led produ...

As digital becomes the norm, rising technology costs hit midsize enterprises hard, especially without economies of scale. Performing proper vendor evaluations is often a challenge for midsize enterprise CIOs. Using a request for proposal (RFP) template helps arrive at a more targeted, right-sized solution while optimizing costs and improving operational performance. Join this complimentary Gartner IT leadership webinar for midsize enterprise o...

Data science and machine learning (ML) platforms provide capabilities that span the life cycle of AI models, including generative AI (GenAI), helping bridge the gap from development to production. Data and analytics teams should utilize these platforms to strengthen organizational ML operation practices, while core data science focuses on providing insight-driven decision making for improving business outcomes. Join this complimentary Gartner...

CIOs need to communicate the value of technology. Visuals showing business value streams are a tool to communicate, measure and track business value realization, from initial benefits to sustaining business value. Yet CIOs and their teams continue to miss a perfect opportunity to illustrate the business value of technology. In a Gartner survey, 71% of IT leaders indicated their value stream maps were not consumable by their intended audience....

The landscape for recruiting technology and innovations continues to expand. The more complex the technology landscape becomes, the more difficult it is for recruiting leaders to make timely and informed portfolio and investment decisions. According to a recent Gartner survey, 53% of recruiting executives report that their recruiting technology stack is more complex than it was three years ago. Join this complimentary HR webinar as Gartner exp...

Generative AI (GenAI) holds immense promise and has the potential to transform businesses across industries. However, operationalizing it has proven to be challenging for most enterprises. Leaders need to prioritize business value, focus on AI literacy and responsible AI, nurture cross-functional collaboration, and stress continuous learning to achieve successful outcomes. But how can leaders boost their GenAI success? Join this complimentary...

Generative AI (GenAI) has become widely accessible, offering a golden opportunity for data and analytics leaders to harness the power of artificial intelligence (AI). AI-ready data is crucial for the success of AI, and strong data management and governance are essential for success. The rapid visibility of AI presents new opportunities for bringing data and analytics (D&A) to the attention of others, creating business value and organizatio...

Generative AI (GenAI) promises a significant transformation in how consumers find, create, consume and comprehend content. However, poor information management undermines the value of GenAI tools and increases the risk of oversharing, misinformation and data loss. To mitigate this risk, application technical professionals must establish effective information governance. Join this complimentary Gartner generative AI webinar as a Gartner expert...

Artificial intelligence (AI) teams perceive risk differently than security or compliance teams. Security teams focus on AI application attack surfaces. However, with forthcoming regulations worldwide, organizations cannot overlook concerns such as data and model drift, uncontrolled bias, and privacy and security concerns specific to AI model training and deployment. Join this complimentary AI webinar as Gartner experts share how to best secure...

Ongoing market volatility exacerbates the need for and the challenges of enterprise operating model (EOM) transformation. A Gartner survey found that 70% of executive leader respondents mostly fear disruption from within their own industries, and one-third admit they are unable to affect the operational constraints they face. Despite these challenges, strategy execution requires evolving the enterprise operating model. Executive leaders who fo...