VIDEO TRANSCRIPT:

What if every investment research analyst had an imaginary friend who could instantly find the answers to their research questions? A leading investment bank needed faster and more accurate access to information buried in filings, news, reports, and research. Publius Sapient built a virtual assistant that can answer almost any investment research question by pulling in data from structured and unstructured sources and deriving answers based on machine learning and causal reasoning. Now using natural language queries to find critical information, analyst productivity is up nearly 30%. Learn more at publicsasapient.com slash ai How can RPA deliver better intelligence for a commodities trading company? A large firm wanted to automate third-party broker data into their own systems for better analytics and reporting on cargo movement. But with disparate formats such as PDF, Microsoft Excel, and email, analysts across the globe needed to spend hours manually entering the data. Using RPA, Publicis Sapient automated and scaled their operations. With automation in place, the firm went from covering 30% of the commodities and capacity market to 100% at near real time and with a 90% reduction in effort from what they had previously spent. Learn more at publicissapient.com slash AI. How did one energy firm increase revenue from $60 million to $1 billion with AI technology? Driven by new requirements of a deregulated gas market, an energy merchant engaged Publicis Sapient to gain greater insight into its gas and power asset portfolio. Using mixed integer linear programming, Publicis Sapient designed and implemented a web-based end-tier application to deliver up-to-the-minute information and provide complete insight into the company's gas positions. The solution? Paid for itself within the first 24 hours of operation. Increased revenue from $60 million to $1 billion over eight years. Significantly improved transparency and decision making. Learn more at publicissapient.com slash AI. A large energy firm wanted to automate the ship vetting process for nominations. The goal? Shorten the decision-making process to close trades faster. The solution? Using machine learning and text data mining technologies, Publicis Sapient created an algorithm to automatically scan inspection reports, process information and flag issues, all without disrupting the company's existing process. With this solution in place, vetting recommendations is now down to just eight minutes instead of two days for 90% of the company's nominations. Learn more at publicisapient.com slash AI. What if you could drastically improve your cross-sell rates through the power of AI technology? Publicis Sapient built an automated recommendation system for a leading online retailer. The system leveraged sophisticated data technologies to analyze behaviors and identify relevant cross-sale opportunities. The results? A 500% improvement in conversion. Increased cross-sale revenue. Improved ROI on marketing campaigns Learn more at publicissapient.com slash AI

Relevant Links

• How Publicis Sapient Uses AI to Drive Measurable Results Across Industries
• AI-Powered Distribution for Insurance and Intermediary-Led Financial Services
• AI modernization in regulated industries: why data, governance and delivery matter more than pilots
• Generative AI for Enterprise Knowledge and Workforce Productivity in Energy and Commodities
• AI for wealth and asset management: from research copilots to adviser-grade operating models
• France : faire de l’IA un moteur de valeur mesurable dans la gestion de patrimoine et les services financiers (Europe)
• IA empresarial para servicios financieros en América Latina: de los pilotos aislados al valor medible (LATAM)
• FAQ (FAQ)
• 12 Things Buyers Should Know About Publicis Sapient’s AI and Modernization Approach (LIST)