DeepTech AI & GenAI
Masterclass:
Accelerate Enterprise Success with AI Innovation
This DeepTech workshop is designed to provide enterprise customers with a foundational-to-advanced understanding of AI, Machine Learning (ML), Generative AI (GenAI), and the powerful capabilities of UnifyAI, our AI platform. The goal is to empower businesses by introducing practical use cases and equipping them with the knowledge to accelerate AI adoption across their value chains.
This workshop is ideal for enterprises with data science teams and a baseline understanding of AI/ML concepts, seeking to deepen their expertise and explore cutting-edge AI applications in their businesses. By the end of the session, attendees will have a clear roadmap for AI implementation using UnifyAI’s AI and GenAI Studio.
Who Should Attend:
- Chief Data Officers (CDOs)
- AI/ML Team Leaders
- Innovation & Transformation Teams
- Enterprise Architects
- Heads of IT and Data Science Teams
Detailed Agenda
Session 1: Foundations of AI, ML and Data Science
Session 1: Foundations of AI, ML and Data Science
Duration: 1.5 Hours
- Introduction to AI, ML, and Data Science
- Differences between AI, ML, and Deep Learning (DL)
- Real-world use cases of AI/ML in enterprise settings
- Overview of key tools and technologies: Python, R, and UnifyAI
- Understanding the AI project lifecycle and business transformation via AI
Session 2: Unifying AI and Generative AI in Business
Session 2: Unifying AI and Generative AI in Business
Duration: 1.5 Hours
- Introduction to Generative AI and Large Language Models (LLMs)
- Exploring the role of GenAI in automating enterprise tasks (e.g., content creation, customer service)
- UnifyAI: Features, Capabilities, and Use Cases
- Hands-on demonstration of UnifyAI Studio for AI and GenAI use cases
- Building and deploying AI models to address enterprise challenges
Session 3: Building and Planning AI Use Cases
Session 3: Building and Planning AI Use Cases
Duration: 2 Hours
- Identifying high-value AI use cases in the business value chain
- Building data-driven solutions for optimization and automation
- Step-by-step walkthrough of planning and implementing AI projects
- Showcasing how UnifyAI Studio accelerates use case development
- Hands-on exercise: Planning and mapping out an AI project for enterprise customers
Session 4: Advanced AI and ML Techniques
Session 4: Advanced AI and ML Techniques
Duration: 2 Hours
- Overview of ML algorithms: Linear models, Decision Trees, Random Forest, and KNN
- Applying Predictive Analytics to business problems (predicting churn, improving customer experience)
- Introduction to AI at scale: Deploying AI models in cloud environments
- Interactive activity: Solving a real-world AI/ML problem using UnifyAI Studio
Session 5: AI Strategy and Next Steps for Enterprises
Session 5: AI Strategy and Next Steps for Enterprises
Duration: 1 Hour
- Building an AI roadmap: Best practices for successful AI adoption
- Creating a sustainable AI framework within the organization
- Leveraging UnifyAI for scalable AI solutions across the enterprise
- Q&A and final remarks
Workshop Outcomes:
- Deep understanding of AI/ML and GenAI applications for enterprises
- Practical knowledge of how to identify and build impactful AI use cases
- Hands-on experience with UnifyAI, our platform for enterprise-grade AI solutions
- Roadmap for scaling AI initiatives in your organization with minimal friction