Explore real-life case studies of successful AI adoption in IT service and support. This session will highlight various organizations' experiences, focusing on challenges faced, strategies employed, and the outcomes achieved. Attendees Will Learn: Insights from real-world AI adoption case studies. Strategies and challenges in implementing AI solutions. Proven ROI, cost, quality, and cycle time benefits of AI.

As AI spending and adoption accelerate, significant opportunities and challenges arise for enterprises. CFOs play a crucial role in managing the financial implications of this transformative technology. With the rapid integration of AI, finance leaders must navigate potential costs and risks to maintain organizational stability and competitiveness. Key challenges include categorizing AI initiatives, evaluating their financial impact and addres...

Artificial intelligence (AI) teams perceive risk differently than security or compliance teams. Security teams focus on AI application attack surfaces, but 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 AI a...

The US government has initiated various AI/ML programs, emphasizing the strategic importance of customer experience (CX), including AI Legislation and Executive Orders (EO) like EO 14058. The impact of AI resonates across multiple crucial government sectors, from National Security and Health & Human Services to Commerce, Energy, Law Enforcement, Public Authority/Utility and Transportation. The adoption of AI doesn't come without challenges...

Artificial intelligence, especially generative AI (GenAI), promises to significantly change every organization across every industry in every region of the world. Yet, for all the potential benefits, AI also raises a high level of risk and fear about potential consequences. What is the impact in your industry? What steps should you take to gain the benefits across your organization? Join this complimentary Gartner IT leadership webinar as a pa...

Generative AI is transforming the public sector, but how are state and local governments really adapting? Get the inside scoop on the current state of AI governance and hear directly from leaders on the front lines. New research conducted by the Center for Digital Government and IBM reveals that while AI holds significant promise, there's a strong emphasis on data security, ethical use, and informed implementation. Join us for a live three-par...

Tech marketers, more than any other function within technology and service provider organizations, believe that generative AI (GenAI) is and will continue to be vital to their work. According to Gartner’s Impact of GenAI on Tech Providers Survey, an impressive 82% of tech marketers view GenAI as vital to their work, and 85% have already deployed three or more use cases. Despite the potential risks associated with privacy, security, copyr...

As generative AI (GenAI) moves beyond the hype, it is transforming self-service analytics and business intelligence platform adoption. Today's analytics and business intelligence (ABI) platforms must support the needs of IT, business analysts, data scientists and analytic content consumers. While integration with cloud ecosystems and business applications is a crucial selection requirement, buyers also need ABI platforms to support governance,...

In a world where AI is often met with fear and uncertainty, getting clear and practical guidance on integrating AI into your operations can seem impossible – but it’s not. Join Government Technology and SADA for a live webinar on June 26, where a panel of industry experts will offer insights to help you create a thoughtful AI plan tailored to your agency’s needs. Here’s what we’ll cover: Practical Guidance on AI I...

Do you investigate every alert you receive? Of course not. Missed threats, growing alert volume, and burned out analysts – today’s teams typically investigate only 10% of their alerts and take an average of 16 days to detect an attack. Meanwhile, costs are skyrocketing. For many, the result is an exhausted workforce and weakened cybersecurity posture. How do you gain control? You need to level up. You need all your alerts to get a...