1. Key Takeaways & Strategic Recommendations
1.1 Key Takeaways
Here, Juniper Research summarises our key takeaways from the AI Agents in Customer Experience Platforms research.
1.1.1 Introduction of MCP and A2A Protocols Has Expanded Capabilities of AI Agent Systems
The Model Context Protocol (MCP), introduced by Anthropic in November XXXX, is an open standard for simplifying how AI agents connect with external data sources, tools, and services. With this protocol, custom integrations for each external tool will not be needed; solving a key challenge. MCP servers will expose capabilities, such as actions, data, and APIs, that AI agents can discover and invoke. This standard has accelerated AI agent development, by making it faster to create AI agents that perform tasks without bespoke coding for each external tool. In turn, this has increased the availability of AI agents that can automate different tasks in XXXX. This also decreases the cost of developing AI agents for enterprises that have unique requirements.
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Trends & Strategies comprises of:
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- Strategic recommendations
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Full Research Suite comprises of:
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Full Research Suite
£4,250
$5,780
€4,973
Full Research Suite comprises of:
- Market outlook & trends analysis
- Interviews & case studies
- Strategic recommendations
- Competitor Leaderboard with 16 vendors ranked
- Vendor profiles & capabilities analysis
- 5-year forecasts
- 8 regions and 60+ country-level data splits
- Market segment data splits
- 12 months of continuous data updates
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