... Fresh insights on emerging trends For product leaders, Cerebras’ IPO marks a shift to both inference-driven AI and to disaggregated architectures that are optimized for different phases of AI inference. Success hinges on delivering the most efficient end-to-end system in tokens per second per watt per ...
Analyst(s): Adrian O'Connell | Gaurav Gupta | Jon Erensen | Raymond Paquet
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... Access Insights Already a Gartner client? China Industrial Bank unified financial crime, fraud and antimoney laundering apps into an AI-driven risk detection platform. Advanced AI algorithms now boost asset protection and safeguard customers against evolving threats, enhancing the bank’s security and response ...
... Access Insights Already a Gartner client? This research outlines high-impact AI use cases across ERP implementation phases and shows IT SPVM leaders how to contract, govern, and measure AI-enabled ERP services to accelerate value realization while reducing delivery and post-go-live risk. Insights at ...
... rightsizing reasoning models are the future gatekeepers for scaling agentic AI. Product leaders must pivot investment from nonreasoning LLMs to cost-efficient, smaller RMs and multimodal reasoning to remain competitive in the AI race. Overview Strategic Planning Assumptions Analysis Gartner Recommended ...
Analyst(s): Vibha Chitkara | Danielle Casey | Radu Miclaus | Evan Zeng | Aapo Markkanen | Walker Black
... Insights Already a Gartner client? AI adoption isn’t driven by mandates and won’t flow naturally via org charts. It spreads primarily through informal networks embedded, yet unseen, within your organization. Activate the right personas at the right time to scale AI faster, more evenly, and with less ...
Analyst(s): Gabriela Vogel | Shanna Grafeld | Tori Paulman
... Access Insights Already a Gartner client? By embedding AI into C-suite decision making, CIOs can expose hidden risks, improve capital allocation, and protect financial value. When AI moves inside executive decisions, it shifts from analysis to action, strengthening enterprise resilience while elevating ...
... AI agents aren’t fit for everything. Currently, their value lies in use cases that are dynamic but where the business impact of errors is low. Start by finding your AI agent “Goldilocks Zone” — where agents are reliable enough to deliver value — and then build toward a future where agents can be granted ...
Analyst(s): Erick Brethenoux | Daryl Plummer | Chris Howard
... AI agents are transforming industries and disrupting traditional business models. Yet, without self-identification and programmable financial transactions, their true potential remains untapped. Enterprise CIOs must act now to enable programmable money, empowering AI agents as economic actors — while ...
Analyst(s): Alistair Newton | Christophe Uzureau | David Furlonger
... Access Insights Already a Gartner client? Agentic AI will not replace IT service providers because organizations still need expertise to govern AI, manage risk, integrate systems and scale adoption. IT sourcing, procurement and vendor management leaders must adopt a hybrid sourcing model, retain governance ...