... AI shifts advantage to companies controlling enterprise context and executing work, away from those providing mere software and insights. Product leaders must redesign offerings to control identity, access, and policy-bound execution or risk workflow bypass and lost pricing power. Insights at a Glance ...
Analyst(s): Sabine Zimmerhansl | Vuk Janosevic | Raymond Paquet
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... consumption-based pricing has introduced unpredictable and rapidly increasing costs. Software engineering leaders must control and manage the token cost of AI coding agents before it is too late. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner Insights Abstract ...
... Access Insights Already a Gartner client? As AI and brain-computer interfaces converge, the mind becomes an attack surface. Traditional cybersecurity cannot protect thought. Cybersecurity leaders must use this guidance to partner with BCI product leaders so thought firewalls are engineered to defend ...
... moves from growth at all costs to efficient scaling, investors demand efficiencies that can only be delivered by companies that wholeheartedly embrace AI within their internal processes and harvest all internal data to serve that goal. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading ...
... AI transformation has reduced the time managers have to digest business updates before contextualizing them for employees. Heads of communications must provide managers with opportunities for peer discussions of key information to support them for team discussions that drive change adoption. Insights ...
... Already a Gartner client? Job roles must evolve across the enterprise to achieve AI value. Most AI job redesign efforts will fail without direct employee involvement and both industry- and enterprise-specific context. Succeed with AI job redesign and overcome change resistance by co-leading efforts with IT ...
Analyst(s): Chet Geschickter | Jamie Heyes | Brandon Germer | Tomas Nielsen | Tori Paulman | Remi Gulzar | Jaime Capella | Peter Skyttegaard
... CEOs expect AI to reshape business models but see a widening gap between that expectation and their organization’s ability to act on it with pre-AI operating models. This research shows how CIOs now quietly carry accountability for closing that gap and what it takes to do so. Insights at a Glance Strategic ...
... high-quality developer experience is key to delivering AI-driven productivity gains and ROI in the software development life cycle (SDLC). Software engineering leaders should focus on three key developer experience improvements necessary for AI-native teams to succeed. Insights at a Glance Impact Actions ...
... data quality practices are inadequate for meeting the dynamic, continuous, and trusted data demands of AI systems. D&A leaders must prioritize comprehensive augmented data quality solutions to architect AI-ready data and ensure the continuous quality of data. Insights at a Glance Impact Actions Cautions ...