RELATED SERVICE:
AI & Machine Learning
Actionable Benefits
- 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.
Research Highlights
- 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.
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?
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.
Companies Mentioned
