Selecting areas of investment in digital with AI
Download as PPTX, PDF0 likes49 views
The document outlines a strategic approach to leveraging applied AI for optimizing investments in areas like marketing, sales, and customer service. It emphasizes creating a sustainable data learning effect and suggests starting with small, manageable problems to build trust and achieve automation. Key recommendations include ensuring continuous data flow, targeting scalable areas, and validating analytics to enhance decision-making and efficiency.
Selecting areas of investment in digital with AI
- 1. Where to start to get the most out of applied AI. Selecting investments in AI
- 2. Vasiliy Fomichev Head of Digital Solution Architecture • 10 years of starting & growing digital practices • 10x Sitecore MVP • Specializations: • CMS: Sitecore, Acquia, Optimizely, Kontent.ai, Contentful • Technologies: Azure, OpenAI
- 3. premium AI-first green 100% resource retention 40 technical resources 15 clients 3 locations in NA, EU and UK 8 yrs. of avg. experience per resource Content Experience XP/XM XM Cloud Content Hub Personalize CDP Web Experimentation Personalization Kontent.ai We have fixed the technology vendor problems
- 4. Is AI really the solution to your problems? Does the problem need a deterministic solution? YES NO Statistics AI
- 5. Is AI really the solution to your problems? Time ROI Organizing Data Statistics AI What people think The reality
- 6. Select the area of Gen AI application that will grow in value over time Time Value Time Value Recommended Marketing, sales, inventory management. Customer service, scheduling.
- 7. Analytics Accuracy increase Automation increase Cost / profit / KPI impact Create a sustainable Data Learning Effect (DLE) flywheel 1. Ensure a continuous cost-effective flow of data into the model for continuous improvement 2. Select a space where economies of scale can be found: more data = cheaper data (user- generated, synthetic data, up-to-date data). 3. Select a small problem to solve and solve it well to build trust within your organization. 4. Select the processes that can be fully automated; 1. augment manual tasks 2. replace manual tasks 3. automate the process with Agentic AI.
- 8. Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Create multiple DLE flywheels Develop ment Content Testing Personali zation Data Strategy Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact DevOps/ Infrastruc ture
- 9. Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact Create DLE networks for a compounded impact Develop ment Content Experime ntation Personali zation Data Strategy Analytics Accuracy increase Automation increase Cost / profit / KPI impact Analytics Accuracy increase Automation increase Cost / profit / KPI impact DevOps/ Infrastruc ture
- 10. Agentic AI is the path to full automation of workflows Analytics Accuracy increase Automation increase Cost / profit / KPI impact Create Analytics Accuracy increase Automation increase Cost / profit / KPI impact Validate Analytics Accuracy increase Automation increase Cost / profit / KPI impact Format Publish