Build internal and external market strategy that builds on key hardware and software trends.
Benchmark internal capabilities and messaging against market activity.
Build organic and inorganic Artificial Intelligence (AI) growth strategy that considers key market leaders.
Develop short, medium, and long-term messaging strategies to reflect key market trends.
Critical Questions Answered
Who are the key innovators accelerating generative AI at the edge and device?
How is “big tech” developing AI capabilities across the Machine Learning Operations (MLOps) value chain?
How is on-device AI developing and who is leading the charge?
How are hyperscalers circumventing the hardware supply chain challenge?
What does the AI regulatory landscape look like and what does it mean for stakeholders?
13 key AI trends spanning software, hardware, and vertical deployment.
Multiple forecasts, including edge AI, open versus closed source, and foundation model parametric size.
Evaluation of the impact key trends will have on stakeholders.
In-depth breakdown of telco generative AI deployment strategies.
Who Should Read This?
IT decision makers looking to build vertical AI deployment strategies.
AI supply side strategy executives developing long-term product, marketing, and sales roadmaps, including Original Equipment Manufacturers (OEMs), chip vendors, hyperscalers, and Independent Software Vendors (ISVs).
Marketing leaders looking to position their AI messaging effectively to build partnerships and align with customers.
Telco strategists looking to identify opportunities and understand how their ecosystem is building on AI.