Nearly 83% of human resources leaders say they struggle to find enough talent with the necessary skills, and only 44% of employees report that career development at their organization is effective at facilitating employee growth. In this context, over 90% of organizations are considering or implementing shifts to skill-based talent management. Technology vendors and consultancies have taken notice, packaging their solutions and services around...

Generative AI (GenAI)’s rapid progress makes it one of the most disruptive recent technologies. According to a 2023 Gartner survey, 98% of executive leaders have current plans or are likely to experiment with GenAI in the foreseeable future. Sourcing and procurement leaders are no exception, and they are eager to explore opportunities for utilization. Join this complimentary Gartner sourcing and procurement webinar as our expert Meghan O...

Organizations that want to stay ahead in today's fast-paced world need to make smarter, faster decisions. Yet, a staggering 65% of organizations admit to using data and analytics primarily to validate pre-made decisions. A new approach is needed, and according to Gartner, more organizations are evolving beyond a data-driven vision to decision-centric practices. Gartner predicts that by 2028, 25% of chief data and analytics officer (CDAO) visio...

Generative AI (GenAI) technology 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...

In the fast-evolving landscape of corporate technology leadership, CIOs stand at the forefront of adapting to dynamic trends that shape strategic domains, including business growth and innovation, generative AI and talent acquisition. While the key themes remain constant, the specifics and priorities are constantly shifting. What trends should you focus on in 2024? How does that impact your strategy and actions going forward? How are your peer...

During economic and social volatility, organizations achieve success through sustainable efficiency. Organizations must determine how to make the best possible use of new technology developments that could cause significant disruption over the next three years, such as generative AI, and embrace the connected workforce nature while remaining resilient. Join this complimentary webinar as Gartner expert Samantha Searle reveals the Gartner Top St...

Many fear that data is artificial intelligence's greatest weakness. Do you have enough data? Do you know the provenance and lineage? There are many proposed metrics to assure the data is ready, but have you considered that AI processes are not equal or even similar in many cases? AI-ready data is not about metrics and provenance as a standalone assessment. It is an ongoing experience, and if you fail to comprehend it, your data assurance may j...

Technology general managers know how to lead in good times and bad, but what about in between? Leading in the middle presents unique leadership challenges shaped by macroeconomics, business buyer behaviors and GenAI technologies. The leadership vision is a playbook for leading in the middle. While IT spending is resilient to recession, business demand and revenue generation reflect enterprise leaders' views on the economy and their future. 202...

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)...

Generative AI (GenAI) has significantly raised organizations' awareness when it comes to the power of AI techniques. After a year of experimentation, 2024 is the year of action. AI engineering unites various disciplines from across the organization to tame the AI hype while providing a clearer path to value when operationalizing the combination of multiple AI techniques (including GenAI models). It also includes responsible AI, dealing with ri...