Generative AI (GenAI) has the potential to revolutionize industries. As enterprises expand their GenAI initiatives, they are recognizing that the cost of developing and deploying these models can be significant as use cases scale and expand. Join this complimentary Gartner leadership webinar as a Gartner expert explores the top best practices for optimizing GenAI costs. By implementing these best practices, organizations can maximize the retur...

The stakes for artificial intelligence (AI) are so high geopolitically, economically and societally, that governments and enterprises alike must establish a determined approach to responsible innovation and policies. Gartner predicts that by 2027, the productivity value of AI will be recognized as a primary economic indicator of national power. The level of excitement for, and fear of, AI and generative AI (GenAI) sparked a growing focus on po...

Generative artificial intelligence (GenAI) will be a natural companion of many human workers, augmenting or autonomously delivering tasks, activities or jobs. Organizations will expect general human workers to interact with GenAI in the same way they expect an office worker to be productive in using basic productivity tools, such as email, calendars and word processors. Instead of waiting until GenAI-based tools can show their full maturity in...

Generative AI (GenAI) gives technology and service provider CEOs an unprecedented opportunity to become operationally lean. This emerging technology can augment and/or automate tasks, workflows and processes in functions such as software engineering, marketing, sales and general administration. Technology and service provider CEOs must establish a concerted approach to addressing this opportunity to guide their organizations toward autonomous...

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...

Digital workplace leaders deliver technologies and experiences that help employees drive the best outcomes. As the nature of work evolves rapidly, it becomes essential to understand and prepare for future trends. Join this complimentary Gartner IT webinar as a Gartner expert explores seven predictions of how work will evolve and what digital workplace leaders must do to be ready for what comes next. You will get insights into the strategic tre...