... the HR investment window opened up by an AI price war. Specifically, consider HR hiring to accelerate AI transformation. HR investment and AI spending have not been and should not be an either/or proposition at organizations that are serious about increasing AI maturity. Gartner Recommended Reading (Required ...
Analyst(s): Colleen Adler | Alexander Kirss
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... without a significant shift to product strategy. Product leaders at established DBMS vendors must enhance their solutions to grow being “good enough” AI-native platforms. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Gartner Insights Abstract ...
... defines and rates AI use cases that improve the quality, speed, and accessibility of strategic planning capabilities — reducing effort, enabling adaptive planning, and extending these capabilities across the organization. Business and technology leaders can use this assessment to guide AI investments. Overview ...
Analyst(s): Ethan Budgar | Jeff Cribbs | Sean Kumar | Ayca Moseley
... Using AI-enabled innovation management platforms enhances idea quality and speeds up innovation processes, offering compelling advantages and reducing risks. CIOs and other innovation leaders must adopt AI-led innovation to effectively achieve their desired business outcomes and not get left behind. ...
Analyst(s): Tsuneo Fujiwara | Christian Stephan | Daniel Sun
... Already a Gartner client? Technology CEOs can capture a share of the $19 billion market opportunity created by unmanaged enterprise AI spending by expanding their portfolios with AI financial optimization and governance services. This services boom mirrors early cloud adoption but is accelerating four times ...
... expanding responsibilities and limited resources, leveraging existing privacy capabilities enables them to unify fragmented AI governance efforts. Coordinating with privacy, legal, and AI teams drives business value and resilience without overextending resources. Insights at a Glance Impact Brief Actions ...
Analyst(s): Shadrock Roberts | Nader Henein | La Shawn Sykes
... Life science companies are increasingly looking to technology-based innovation to drive R&D pipelines, digital capabilities, novel therapies and new commercial engagement models. CIOs should consider these new, disruptive vendors that are poised to help accelerate life science business results. Overv ...
Analyst(s): Animesh Gandhi | Jeff Smith | Michael Shanler | Seth Feder
... AI is a top-funded initiative in supply chain organizations. This research highlights the technology capabilities that enable AI use cases within supply chains, and how product leaders should focus on the “whole product” with their partners to maximize its value within supply chains. Overview Analysis ...
... AI offers enormous potential for step changes in the life sciences supply chain, but it can be difficult to identify appropriate initiatives with meaningful impact. This research outlines three steps for chief supply chain officers to select practical AI projects that will deliver tangible results. ...