Hatano Sato

Lead the development of new and existing AI features and drive innovation within Dialpad. Partner with engineers across Speech Recognition, NLP, Data, and Design to build requirements, appropriately scope, and effectively manage the delivery of AI-powered features on a quarterly basis. Champion and educate internal and external stakeholders and partners on AI-related features, and track and measure the success of launched features (both in terms of user adoption and revenue).

• Defined and executed the AI roadmap and strategy for Dialpad resulting in a 20% increase in monthly recurring revenue.
• Led the development of Agent Assist resulting in a 30% decrease in customer service response time.
• Partnered with Product Marketing to develop external packaging and messaging for AI features resulting in a 15% increase in user adoption.
• Developed and implemented machine learning models for a large e-commerce company, resulting in a 25% increase in sales and a 20% reduction in customer churn.
• Conducted data analysis and provided insights to a healthcare organization, leading to a 15% improvement in patient outcomes and a 10% reduction in costs.
• Collaborated with cross-functional teams to design and implement natural language processing solutions for a financial services company, resulting in a 30% increase in customer satisfaction and a 25% reduction in response time.
• Designed and deployed a computer vision system for a manufacturing client, automating quality control processes and achieving a 40% reduction in defect rates while increasing production efficiency by 20%.

Led the development of a new Contact Center solution from ideation to launch, resulting in a 25% increase in annual recurring revenue. Conducted market research, gathered customer feedback, and defined product requirements. Managed cross-functional teams including engineering, design, QA, and sales to deliver the product on time and on budget.

• Conducted market research and gathered customer feedback to define product requirements.
  Manage cross-functional teams including engineering, design, QA and sales to produce, maintain and improve product quality.
• Launched the product resulting in a 25% increase in annual recurring revenue.
• Leveraged deep learning techniques to enhance fraud detection capabilities for a major insurance company, leading to a 50% decrease in fraudulent claims and a savings of $2 million annually.
• Partnered with business stakeholders to identify AI-driven opportunities and develop customized solutions, improving overall operational efficiency by 18% and driving a 12% increase in revenue growth.

• Developed and implemented an AI- based system to optimize supply chain operations, resulting in a 25% reduction in inventory costs and a 15% increase in on- time delivery rates.
• Collaborated with cross- functional teams to design and deploy an AI- based chatbot for customer service, resulting in a 40% reduction in customer wait times and a 20% increase in customer satisfaction scores.
• Researched and evaluated new AI technologies, leading to the adoption of a new deep learning algorithm that improved accuracy rates by 30% for a fraud detection system.
• Designed and implemented an AI-based recommendation engine for an e-commerce platform, resulting in a 20% increase in sales and a 15% increase in customer retention rates.
• Developed and maintained an AI-based database for a healthcare organization, improving data accuracy rates by 25% and reducing data processing times by 30% and improve service quality.
• Trained and deployed an AI-based model for predictive maintenance in a manufacturing plant, resulting in a 40% reduction in maintenance costs and a 20% increase in equipment uptime.

• Analyzed data to identify patterns and trends for a financial institution, leading to the development of an AI-based fraud detection system that reduced fraud losses by 50%.
• Developed and maintained an AI-based software for a transportation company, improving route optimization by 30% and reducing fuel costs by 25%.
• Monitored and optimized an AI-based system for a retail organization, resulting in a 20% increase in sales and a 15% reduction in operational costs.
• Manage the quality of delivered projects, analyze defects and develop quality improvement measures.