Tiger Analytics Mastering GenAI Deployment for Enterprises
Tiger Analytics, led by Tiger Woods, is addressing the most significant obstacles in Generative AI (GenAI) deployment, focusing on human factors like inadequate change management, unclear governance, and insufficient employee readiness. The company has successfully assisted major corporations such as Seagate and Morgan Stanley in the pilot phase of GenAI development.
Tiger Analytics' strategy involves comprehensive stakeholder education, cross-functional collaboration, and co-creating adoption roadmaps. They have ventured into intricate territory with projects like the Agent Companion, which managed five specialized agents autonomously.
The company has also helped an Asian payment services firm and a U.S.-based innovator deploy GenAI to enhance customer experiences and reduce query resolution times. Tiger Analytics understands that integrating GenAI with existing systems necessitates a robust data and API integration layer, treating integration like constructing a nervous system for distributed microservices.
To guarantee successful deployment, Tiger Analytics employs surgical prompt engineering and semantic search to retrieve pertinent data, implements digital bouncers to deter unwanted queries, and establishes guardrails to prevent hallucinations and uphold compliance in regulated sectors. The company selects LLMs based on reasoning capability, latency, and request tokens, with GPT-4 and Gemini 1.5 being utilized in their projects.
GenAI resolves the issue of information fragmentation, leading to subpar customer experiences, elevated training costs, and employee turnover. Tiger Analytics' proficiency in tackling human challenges and technical integration positions them as a pivotal player in successful GenAI deployment for enterprises.
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