Generative AI Training & Prototype Workshop

Identify ways to develop a generative AI product prototype and streamline your team’s generative AI application development workflows

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25+ YEARS EXPERIENCE IN AI/ML ANALYTICS FOR TECH, FINANCIAL SERVICES, UTILITIES & MORE

Gain practical knowledge of generative AI technologies and their strategic applications.

Participants will explore real-world use cases, understand the latest developments in AI, and gain hands-on experience planning a generative AI product prototype.

In a sandbox learning environment, we’ll explore easy-to-use tools for:

  • data analysis

  • automating workflows and tasks

  • synthesizing reports and other information

  • generating drafts of documents and emails, from corporate policies & procedures, to marketing
    plans and business strategies

Generative AI training helps people move beyond simple chat interactions to a real task-oriented focus that makes appropriate use of AI to improve productivity.

Objectives and key outcomes

Through engaging roundtable discussions and hands-on generative AI training, participants will learn to identify high-value opportunities within their roles while understanding the associated risks and governance.

  • Learn about the latest AI capabilities and available tools

  • Evaluate generative AI capabilities and limitations in a banking context

  • Identify and prioritize use cases for a generative AI product prototype within your business unit

  • Gain a hands-on introduction to leading AI tools and platforms in a secure sandbox environment

  • Build a generative AI application development roadmap for your team or department

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Who is this course designed for?

We tailor the content for your group, to reflect the participants primary focus and role
in the organization. That might include:

Operations & Strategy

Focus: Core banking operations, product development, strategic planning

These are the architects and operators of core financial services

Compliance & Risk

Focus: Oversight and governance of AI, and ways to streamline

These are the teams concentrating on responsible use of AI

Marketing & Sales

Focus: Front-line client engagement, sales, marketing, service delivery

These are the client-facing teams driving growth and satisfaction

Enterprise Support

Focus: Internal operations, people management, financial controls

These are the enablers keeping the organization running smoothly

Duration and format

  • 4 hours of generative AI training scheduled at your team’s convenience
  • Hybrid (lectures, case discussions, hands-on workshops)

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Instructors

Martin Musiol

Martin, the founder of Generativeai.net, brings a wealth of experience in educating, consulting, and implementing Generative AI solutions. Before generative AI became a mainstream topic, Martin Musiol already highlighted its potential in 2016. Since then, he’s been a prominent voice on the technology’s evolution, applications, and ethical questions, regularly speaking at conferences, podcasts, and panel discussions. Forward-looking, Martin’s focus spans GenAI, AI Agents, and Artificial General Intelligence (AGI).

Steven Ramirez

Steven is a senior advisor and strategist who has worked with leading banks, fintech companies, and banking associations for over 10 years. At a Top 5 bank, he led the creation of compliance and customer experience curriculums and trained over 3,000 staff. Steven has also served as a Lecturer at Berkeley. He’s currently the CEO of Beyond the Arc, leading the AI consulting practice.

Frequently asked questions

Top reasons why organizations will adopt generative AI?

72% say it will be to improve employee productivity (humans working in collaboration with generative AI)1

When should you hire an in-house team for generative AI application development?

Consider hiring an internal team of AI specialists AFTER you have made progress through 5 key phases…

  1. Identify and prioritize use cases (business problems you want to solve)
  2. Develop a generative AI product prototype
  3. Assess the success of the early projects
  4. Pilot one or more potential solutions with internal partners
  5. Design and test repeatable business processes and data pipelines

What does a Generative AI consultant do?

As generative AI consultants, we use our experience in machine learning & AI to develop business solutions that use large language models like the ones that power ChatGPT, Claude, CoPilot and LLaMA.

We ensure AI solutions are developed responsibly and address real business challenges.

1 – Insight Intelligent Technology™ Pulse: Introducing Generative AI in the Workplace, June 2023