PDI Technologies’ Steve Antonakakis shares how his company is implementing generative AI across their fuel and retail technology ecosystem through a practical, customer-focused approach using Amazon Bedrock.

Topics Include:

PDI's COO/CTO discussing generative AI implementation
Practical step-by-step approach to AI integration
Testing in real-world settings with customer feedback
AWS Bedrock and Nova models exceeded expectations
Early adoption phase with huge potential
Fuel/retail industry processes many in-person transactions
PDI began in 1983 as ERP provider
Grew through 33+ acquisitions
Provides end-to-end fuel industry solutions
Owns GasBuddy and Shell Fuel Rewards
Processes millions of transactions daily
Generative AI fits into their intelligence plane architecture
AWS Bedrock integrates well with existing infrastructure
Focus on trusted, controlled, accountable AI
Productizing AI features harder than traditional features
Created entrepreneurial structure alongside regular product teams
Team designed to fail fast but stay customer-focused
AI features can access databases without disrupting applications
Customers want summarization across different business areas
AI provides insights and actionable recommendations
Conversational AI replaces traditional reporting limitations
Working closely with customers to solve problems together
Beyond prototyping phase, now in implementation
AWS Nova provides excellent cost-to-value ratio
Focus on measuring customer value over immediate profitability
RFP use case saved half a million dollars
Early prompts were massive, now more structured
Setting realistic customer expectations is important
Data security approach same as other applications
Treating AI outputs with same data classification standards

Participants:

Steve Antonakakis – COO & CTO, Retail & Energy, PDI Technologies

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