More than half of organizations abandon their AI and generative AI efforts due to cost-related missteps. Gartner estimates that less than 15% of organizations identify, quantify and measure costs, risks and value. Meanwhile, AI and GenAI spending is projected to continue unabated. Thus, the most pervasive and elusive challenge for every executive leader will be to effectively vet, prioritize and fund the right initiatives at the right time to...

With rapid technological advancements, the demand for IT talent continues to outpace supply. According to the Gartner 2024 CIO Talent Planning Survey, 79% of responding organizations plan to increase their IT staff levels in 2024. Despite waves of layoffs from the tech sector, it remains difficult to hire qualified talent with high-in-demand skills such as GenAI, AI, machine learning and cybersecurity. These skills gaps threaten organizations...

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...

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...

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,...

Today’s marketing function has been resilient amid waves of disruption, thanks to its ability to adapt to deliver for its wider organization. As the frequency of disruptions increases, the impact on marketing functions will force changes to this design. Join this complimentary Gartner marketing webinar as Gartner experts explore the three critical design areas that will change the marketing function of tomorrow and what marketing leaders...

Generative AI (GenAI), composable SaaS application platforms and new user interface (UI) form factors put us on the brink of a permanent change in the purpose and function of enterprise applications. Applications will morph from merely tools that employees use to execute their work into intelligent systems that work on behalf of employees. This seismic change raises major questions: How well are your enterprise applications’ innovative t...

Generative AI (GenAI) has brought great progress and acceleration to the practical use of AI in many organizations. Yet, it is not the solution for everything, despite the hype. Users often experience limitations related to reliability, transparency, fairness, security and intellectual property. Compared to the current wave of GenAI, foundation models and large language models, numerous innovations and trends in the field of AI have emerged to...