... AI and generative AI technologies create new challenges and risks for negotiating IT contracts. Sourcing, procurement and vendor management leaders can use the research in this collection to take a commanding lead to properly protect their organization from these risks. Analysis Research Highlights ...
Analyst(s): Melanie Alexander
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... optimistic about generative AI (GenAI), with audit functions rapidly adopting the technology to improve efficiency, quality, and risk management. Generic AI use cases, however, will deliver only marginal gains. To achieve transformative impact, CAEs must align AI with core audit workflows, invest in building ...
... Gartner client? Artificial intelligence applications in IT service management are tools that use AI to augment and extend ITSM workflows to provide intelligent advice and actions for I&O leaders and their IT support teams. This Magic Quadrant evaluates 10 vendors and their AI-enabled products in this market ...
Analyst(s): Rich Doheny | Ankita Hundal | Chris Matchett | Chris Laske
... As GenAI adoption grows in banking, challenges like compliance, data privacy and security highlight the need for stronger AI governance. This infographic helps CIOs understand evolving governance standards and align with best practices for effective, robust governance. Overview Gartner Recommended Reading ...
... analytics leaders must reduce project turnaround times and costs, and ensure data scientists focus on high-impact tasks. This can be done by leveraging generative AI for tasks such as code, document and synthetic data generation, feature engineering and model deployment. Overview Introduction Analysis Gartner ...
... domain-specific GenAI models and large reasoning models are rapidly emerging as viable options for different use cases. Example technology: Multimodal generative AIAI engineering enables safe, scalable deployment Scaling GenAI programs demands robust engineering. This requires tools and frameworks for building ...
... Overlooked risks and unintended consequences of GenAI can disrupt operations, ethics, security and value realization. CDAOs should understand the second- and third-order effects of GenAI adoption and proactively address hidden challenges to safeguard their organization’s competitiveness and resilien ...
... Embedding GenAI into business amplifies risk in automating decision-making with AI agents. Leaders responsible for AI must govern automated decisions to mitigate risk from algorithmic bias, unforeseen agentic actions and liability while ensuring trust-based outcomes through decision intelligence. Overview ...
... In the rapidly evolving field of AI, large language models (LLMs) are transforming how we interact with technology and process information. Selecting the right model for specific applications can be challenging given the diverse options available, each with its own strengths and limitations. Join this ...