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... Access Research Already a Gartner client? データ・ファブリックの導入に生成AIを活用しない場合には、データ統合や管理の複雑化、異種データ・ソース間の連携不足、データ・ガバナンスの徹底が困難といった課題が存在する。生成AIは、データのマッピングなどの複雑な手動タスクを自動化することで、データ・ファブリックの実現性を高め、自動化を可能にし、複雑なデータ環境における効率的な運用と迅速な意思決定を支援する。 Gartner Research ...
... research to understand why they should deploy an edge platform for localized computing of evolving data, in order to support operational modernization and AI-driven innovation. Overview Strategic Planning Assumption Analysis Recommendations Conclusion Gartner Recommended Reading Gartner Research ...
Analyst(s): Mohini Dukes | Thomas Bittman | Scot Kim
... AI enterprise application software is projected to be a $1.45 trillion opportunity by 2035, with synthetic-data-enabled solutions expected to represent 76% of projected end-user spend. Product leaders who harness synthetic data will dominate, and laggards risk rapid market loss starting in mid-2030. ...
Analyst(s): Vibha Chitkara | Tuong Nguyen | Nick Ingelbrecht | Ben Lee | Kiumarse Zamanian
... Physical AI development stands at a crossroads between two revolutionary paradigms: the speed of GPU-accelerated simulation and the promise of self-supervised world models. Product leaders must prioritize investments in the proven simulation approach for near-term gains while preparing for the transformative ...
... The current supply of agentic AI models, platforms and products far exceeds demand. Though we see early signals of market correction and consolidation, product leaders should recognize this as a regular part of the product life cycle — not a sign of inevitable economic crisis. Overview Analysis Gartner ...
Analyst(s): David Yockelson | Will Sommer | Mark McDonald | Barbara Sibley
... diversifying into finance, cybersecurity and office automation. However, this is an incremental improvement, not a breakthrough, and cost concerns remain. AI leaders should selectively evaluate specialized agents powered by the new model. Overview Contributors Gartner Recommended Reading Gartner Recommended ...
Analyst(s): Arun Chandrasekaran | Mark O'Neill | Jeremy D'Hoinne | Tom Coshow | Arun Batchu