Employees who believe that their jobs can be replaced by AI have a 27% lower intent to stay in their organization. At an average organization of 10,000 employees, this decrease in intent to stay costs 53 million USD per year in total costs and lost productivity. The impact of generative AI (GenAI) on jobs and workers will vary greatly depending on labor market dynamics and other demand drivers. This blend of certainty and uncertainty makes it...

Data and analytics leaders continue to face tight budgets and resources while trying to address new market disruptions around AI. Gartner's top predictions for data and analytics in 2024 provide a forward-looking perspective on how markets, skills, and organizations will evolve. These insights pave the way for developing robust strategies that not only adapt to evolving market and organizational contexts but also drive growth, spur innovation,...

Tech CEOs will face a world in transition in 2024, especially considering the explosion of generative AI (GenAI) technologies, funding challenges, and changing buyer preferences. How can Tech CEOs take advantage of the opportunities generated by these disruptions? What do they need to do to get faster than their competitors and achieve growth? Join this complimentary webinar to learn how to leverage GenAI to develop new products and raise fres...

As customer preferences shift and generative AI (GenAI) capabilities mature, customer service and support leaders face new challenges and opportunities. They must navigate an evolving landscape that includes dynamic self-service options, the impactful use of GenAI, and strategies for holistic customer journeys. The Gartner 2024 Priorities Survey provides critical insights by identifying key challenges and priorities for service and support lea...

Technology, especially generative AI (GenAI), continues to shape the nature of customers and customer experience. IT leaders continue to optimize and invest in their customer relationship management (CRM) strategy, digital experience, and customer experience initiatives. Join our experts in this complimentary Gartner webinar as they explore three predictions that showcase the impacts of machine customers, AI, and composability on the CRM and c...

Artificial intelligence (AI) can potentially bring significant value to organizations by enhancing productivity, improving decision-making, and creating new opportunities for growth and innovation. Yet, according to Gartner surveys, obtaining value from AI is challenging. The main barriers to AI implementation are the lack of understanding the benefits and uses of AI techniques and the difficulty in measuring AI’s value. As enterprises s...

Large language models carry the potential to automate many different forms of natural language understanding (NLU) tasks. Organizations are racing ahead to implement large language models (LLMs), including applications like ChatGPT. The diversity of large language models is creating challenges for data and analytics technical professionals to determine the best approach. Join our expert Sumit Agarwal, in this complimentary Gartner IT webinar t...

Without a doubt, 2023 belonged to artificial intelligence, especially generative AI (GenAI). GenAI’s emergence and mass awareness led to a very large number of experimentations, mostly focused on productivity improvements. The excitement generated a demand barely fulfilled by a fast-increasing number of software providers. AI is much larger than GenAI, and many organizations now seem ready to explore the full spectrum of AI techniques an...

Nearly 75% of B2B buyers say they prefer a representative-free sales experience, but this rep-free preference often leads to purchase regret. Continued economic uncertainty, increasing B2B buying complexity, and AI’s rapid impact on the sales function demand a unified commercial strategy to address the buyer's needs. The Gartner Leadership Vision for CSOs will help sales leaders navigate three critical questions when making decisions and...

Chief marketing officers and marketing leaders face unprecedented challenges in 2024. Diminishing trust in traditional social media platforms and growing skepticism toward generative AI (GenAI) technologies are reshaping consumer interactions. These shifts pose significant hurdles for CMOs already grappling with the demand to achieve more with fewer resources. At the same time, these challenges present unique opportunities. Marketers can lever...