... Market growth leaders in AI chip innovation are enabling AI system advances through AI processors/GPUs, high-bandwidth memory, automotive sensors and custom silicon. These innovations can help product leaders gain a competitive advantage for their AI workloads. Overview Analysis Gartner Recommended Rea ...
Analyst(s): Kanishka Chauhan | Jon Erensen | Joseph Unsworth | Alan Priestley | Menglin Cao
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... and productivity in industrial verticals. Product leaders must pursue these and similar use cases if they are to succeed in the near term. Overview Strategic Planning Assumptions Analysis Gartner Recommended Reading Note 1: Use-Case Definitions Gartner Research ...
Analyst(s): Ben Lee | Kanishka Chauhan | Jon Erensen | Evan Brown | Tuong Nguyen
... U.S. federal policy on tariffs and retaliatory measures threaten semiconductor supply chain continuity in terms of higher costs and delays. Product leaders that fail to effectively plan for various scenarios from raw materials to electronics will cede market share to competitors. Overview Analysis Gart ...
Analyst(s): Shrish Pant | Cori Masters | Joseph Unsworth | Thomas Chiang
... Energy-efficient semiconductor innovation is addressing the GenAI power challenge but will come up short. Product managers will learn how chips save power in data centers and on devices for GenAI, and how much cooperation is required from the ecosystem. Session Description Gartner Research ...
Analyst(s): Joseph Unsworth | Alan Priestley | Menglin Cao | Gaurav Gupta | Andrew Phillips
... Advancements in display technologies will help overcome performance and form-factor bottlenecks in head-mounted displays, while increasing user acceptance and revenue generation opportunities. Product leaders must invest in these critical technologies that could alter their product roadmaps. Overview ...
Analyst(s): Ben Lee | Jon Erensen | Tuong Nguyen | Kanishka Chauhan | Evan Brown
... applications increases complexity of AI systems. AI product leaders need to expand the scope of AI observability to more comprehensive approaches. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Gartner Research ...
Analyst(s): Jim Hare | Avivah Litan | Radu Miclaus | Pieter den Hamer
... vendors need to accelerate enterprises in building and maintaining multimodal data fabric environments in support of their AI initiatives. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Note 1: Semantic Web as a Central Methodology for Multimodal Data Fabric Gartner Research ...
Analyst(s): Ramke Ramakrishnan | Ehtisham Zaidi | Sharat Menon | Radu Miclaus
... explores how product leaders can leverage AI to enhance user engagement and implement effective AI architectures tailored for HMD applications. Overview Strategic Planning Assumption Analysis Gartner Recommended Reading Note 1: Gartner Case-Based Research (CBR) Methodology Note 2: Definition of Embedded AI ...
Analyst(s): Ben Lee | Roger Sheng | Jon Erensen | Stacey Yin | Anushree Verma
... leaders should capitalize on supply-side innovations to overcome cost, form factor and efficiency challenges for improved product offerings. Overview Strategic Planning Assumptions Analysis Contributors Gartner Recommended Reading Gartner Research ...
Analyst(s): Ben Lee | Kanishka Chauhan | Jon Erensen | Evan Brown | Tuong Nguyen