Key Trends in AI: On-device AI, Open-Source Investment, Data Service Funding and More

Price: Starting at USD 3,000
Publish Date: 12 Oct 2023
Code: PT-2777
Research Type: Presentation
Pages: 16
Key Trends in AI: On-device AI, Open-Source Investment, Data Service Funding and More
RELATED SERVICE: AI & Machine Learning
Actionable Benefits

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.
Critical Questions Answered

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?
Research Highlights

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.
Who Should Read This?

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.

Table of Contents

Open versus Closed Source

Big Tech Introduces “Tailored” Models

U.S.-China Chip War

Edge AI Opportunities

Generate AI Use Cases

Chip Vendors Find Software Partners 

Big Tech Building Their Own AI Chips

International Regulation

AI Data Services

Telecoms Industry AI Activity 

Telco Ecosystem Support

Enterprise AI Go-to-Market Strategy

Chip Vendor-Led On-Device AI Activity