... AI-generated code is here to stay, and software engineering leaders will need to close the gap between the pace of coding and the pace of reviewing and securing the code. Gartner’s four-step formula can help them address potential IP infringement and security risks when using AI code assistants. Gartner ...
Analyst(s): Manjunath Bhat
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... Adoption of AI marketplaces is spurred by demand for high-quality datasets and trusted environments for model exchange. Product leaders for AI marketplaces can create stickiness for their offering by highlighting the monetization and collaboration aspects of their platform. Overview Strategic Planning ...
Analyst(s): Annette Zimmermann | John Santoro | Nick Ingelbrecht | Kara Batty | Tuong Nguyen | Aakanksha Bansal
... Research Already a Gartner client? The AI Act outlines a set of rules for organizations operating in the EU with enforcement starting in late 2024 and expanding through 2027. Security and risk management leaders should immediately start discovering and cataloging AI-enabled capabilities ahead of for the ...
... Most AI investments across the enterprise are focused on productivity gains for users, which Gartner finds is limited in near-term ROI. Given economic uncertainty and pressure on costs, AI, especially GenAI, techniques aimed at financial efficiency and high-value use cases will have a greater impact ...
... Compliance with the AI Act requires that organizations take certain risk-based measures for each AI-enabled use case. This research supports security and risk management leaders to establish a defensible assessment process and consistently categorize each use case into the appropriate risk tier. Overview ...
... AI leaders struggle to manage and prioritize the many activities required for a successful AI implementation. AI leaders can use this roadmap template and guidance as they plan and sequence tasks in delivering AI at scale. When to Use Gartner Recommended Reading Gartner Research ...
Analyst(s): Anthony Mullen | Pieter den Hamer | Leinar Ramos
... efficiency, and reduce costs. Software engineering leaders should empower their teams with the technical prowess and platforms needed to build AI agents, AI assistants, and multimodal applications. Overview Market Definition Market Description Market Direction Market Analysis Representative Vendors ...
Analyst(s): Jim Scheibmeir | Mike Fang | Cary Pillers
... Data and analytics leaders need to implement AI while also adhering to the policies, standards and regulations concerning responsible AI, which requires extensive cross-functional collaboration and ownership. This episode of the D-Suite provides insights and best practices for balancing these needs. ...
Analyst(s): Afraz Jaffri | Rita Sallam | Lydia Clougherty Jones
... Generative AI technology profoundly impacts conversational AI platforms, augmenting the expertise of these tools beyond novice-level understanding and leading to superior intelligence. Product leaders must plan now to avoid competitive threats and take advantage of transient opportunities. Overview ...
Analyst(s): Adrian Lee | Gabriele Rigon | Arup Roy