Distributed Intelligence on the Edge: Opportunities and Challenges Shaping Edge AI in APAC

Price: Starting at USD 3,000
Publish Date: 19 Apr 2023
Code: PT-2681
Research Type: Presentation
Pages: 37
Distributed Intelligence on the Edge: Opportunities and Challenges Shaping Edge AI in APAC
Actionable Benefits

Actionable Benefits

  • Gain a better understanding of how Artificial Intelligent (AI) workloads are processed traditionally and on the edge.
  • Have a holistic view of the Asia-Pacific (APAC) edge AI ecosystem, including cloud hyperscalers, hardware infrastructure providers, software vendors, and professional services.
  • Identify key verticals and real-life use cases in the APAC region that can benefit from deploying edge AI.
Critical Questions Answered

Critical Questions Answered

  • What are the main drivers of growth for edge AI?
  • How are APAC businesses deploying edge AI and what are some of the benefits?
  • What challenges do businesses need to address before going on an edge AI journey?
  • What will edge AI’s future look like and how will it affect my business?
Research Highlights

Research Highlights

  • Key benefits for businesses in the APAC region looking to deploy edge AI, as well as pitfalls to look out for.
  • Opportunities in the edge AI market and how can technology solution providers take advantage of opportunities that are specific to the APAC region.
  • Examples of edge AI solutions from APAC technology providers across industries, including retail, manufacturing, healthcare, transportation, and mining.
Who Should Read This?

Who Should Read This?

  • Technology solution providers that are looking to build use cases that resonate with APAC businesses and looking to collaborate with the wider edge ecosystem.
  • APAC Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) in retail, manufacturing, etc. industries that are looking to embark on a strategic edge AI journey.

Table of Contents

Overview
APAC Market Trends
Edge AI Ecosystem
Opportunities and Challenges for Solution Providers
Opportunities and Challenges for End-User Businesses
Future State of Edge AI
Recommendations
Conclusions
Related Research