AWS partners Automation Anywhere, Qlik, and Vectra.ai discuss revolutionizing customer experience through generative AI, sharing real-world implementations in automation, analytics, and cybersecurity applications.

Topics Include:

• AWS Technology Partnerships panel on agentic AI implementation
• Three AWS partners share real-world AI deployment experiences
• Automation Anywhere automates end-to-end business processes with agents
• Vectra.ai uses autonomous agents for cybersecurity threat detection
• Qlik applies generative AI across their data platform portfolio
• Customer service automation handles L1 support requests efficiently
• Utility company processes 144,000 complaints annually using agents
• Regulatory compliance improved through faster complaint resolution workflows
• Cybersecurity agents reduce threat detection time by 50-60%
• Triage, correlation, and prioritization handled by autonomous agents
• Signal fatigue reduced through intelligent alert filtering systems
• Natural language queries enable faster business decision making
• Sales AI agent provides competitive information during calls
• AWS Marketplace reduced 7,000 weekly tickets to zero
• 2023 was proof-of-concept year, 2024 focuses production deployment
• AWS Bedrock integration seamless with existing data repositories
• Model optionality crucial for different use case requirements
• Agility most important capability in generative AI journey
• Code abandonment becomes acceptable due to rapid innovation
• Maximum team size of 10 people maintains development agility
• Targeted solutions outperform broad platform capabilities in adoption
• Implementation expertise becomes bottleneck for customer scaling efforts
• Natural language interaction patterns completely shifted user behavior
• Keywords searches replaced by conversational query approaches
• Responsible AI committees review decisions and establish principles
• Security considerations balance speed with responsible deployment practices
• Bad actors adopt generative AI faster than defenders
• Explainability requirements slow feature rollout but ensure auditability
• Multi-modal deployments use different models for specific cases
• Future trends include AI-powered business process outsourcing

Participants:

• Peter White – SVP, Emerging Products, Automation Anywhere
• Ryan Welsh – Field CTO - Generative AI, Qlik
• John Skinner – Vice President Corporate/Business Development, Vectra.ai
• Chris Grusz – Managing Director for Technology Partnerships, AWS

Further Links:

• Automation Anywhere in AWS Marketplace
• Qlik in AWS Marketplace
• Vectra.ai in AWS Marketplace

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