Dive into the dynamic world of Artificial Intelligence (AI) with our one-day course, "Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise." Designed to provide stakeholders with a panoramic yet nuanced view of AI's transformative capabilities, this course serves as both a primer and a catalyst for action. From understanding the pivotal role of data collection and storage, to deciphering the symbiosis between Big Data, Data Science, and AI, we've curated the course to offer you a blend of strategic knowledge and practical skills. We're not just covering the essentials; this course also empowers you with the capability to make informed decisions on various AI applications. Learn to evaluate cloud-based versus on-premise solutions, understand the key factors in building effective data science and AI teams, and get familiar with essential AI frameworks and tools.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

Working in an interactive learning environment, led by our engaging AI expert, you will:
Learn which data is most useful to collect now and why it’s important to start collecting that data as soon as possible
Understand the intersection between big data, data science and AI (Machine Learning / Deep Learning) and how they can help you reach your business goals and gain a competitive advantage.
Understand the factors that go into choosing a data science and AI driven systems including whether to go with a cloud-based solution
Explore common tools and technologies to aid in making informed decisions
Gain the skills required to build your data science, AI and machine learning teams

1

  • INTRODUCTION TO AI IN BUSINESS

  • Explore the relevance and potential impact of AI technologies in modern businesses.

    What is AI and Why Does It Matter

    The ROI of AI Adoption

    Case Studies: AI Transformations

    AI Ethics and Regulation

    AI's Role in Different Business Units

    Real-World AI Transformations: A quick overview of businesses successfully adopting AI

2

  • DATA: THE BEDROCK OF AI

  • Identify the types of data most pertinent to AI applications in business.

    Types of Data: Structured vs Unstructured

    Importance of Data Collection

    Data Storage Solutions

    Data Security and Compliance

    Data Integration Strategies

    Database Choices: Evaluating databases suited for AI applications

3

  • BIG DATA, DATA SCIENCE, AND AI – THE POWER TRIO

  • Explore how Big Data, Data Science, and AI synergize for business advantage.

    The Big Data Ecosystem

    Data Science Methodologies

    Machine Learning vs Deep Learning

    Business Cases for Data Science and AI

    Tools for Analytics and Data Processing

4

  • CLOUD-BASED VS ON-PREMISE SOLUTIONS

  • Make informed decisions on cloud-based vs. on-premise AI solutions.

    Factors for Choosing a Platform

    Cloud-Based Pros and Cons

    On-Premise Pros and Cons

    Cost Implications

    Security Considerations

    Cloud and On-Premise Comparison: Brief on performance, costs, and scalability

5

  • SELECTING TOOLS AND TECHNOLOGIES

  • Explore various tools and technologies to facilitate AI adoption.

    Popular AI Frameworks

    Visualization Tools

    Data Cleaning and Preprocessing Tools

    Analytical Platforms

    APIs and Libraries

    Tool Showcase: Quick tour through a suite of cutting-edge AI tools

6

  • BUILDING YOUR DATA SCIENCE AND AI TEAMS

  • Explore the key skills and roles to consider when forming a data science/AI team.

    Core Team Roles

    Required Skill Sets

    Training vs Hiring

    Collaboration Tools

    Team KPIs and Performance Metrics

    Virtual Team Management: Leveraging tech for remote collaboration

7

  • GENERATIVE AI: A NEW PARADIGM FOR BUSINESS

  • Understand how Generative AI can redefine content creation, design, and decision-making in business.

    What is Generative AI?

    Applications in Marketing and Design

    Generative AI in Product Development

    Ethical and Legal Concerns

    Generative AI in Business Strategy

    Auto-Generated Content: See how Generative AI can automatically produce marketing copy and design elements

8

  • EMERGING TRENDS IN DATA & AI FOR BUSINESS

  • Stay ahead of the curve by understanding upcoming trends that will shape the future of AI in business.

    Federated Learning and Edge AI

    AI for Sustainability and Social Good

    AI in Cybersecurity

    Reinforcement Learning in Business

    Explainable AI (XAI)

    Explore the impact of new trends on different business sectors

9

  • NEXT STEPS AND ACTION PLAN

  • Develop a roadmap to start or advance AI implementation in your organization.

    Setting Short-term and Long-term Goals

    Budget and Resource Allocation

    Scaling AI Projects

    Ongoing Training and Skills Update

Audience

This introductory-level course is geared for a mix of business stakeholders who are either directly involved in or impacted by AI-driven initiatives within their organization. This includes C-suite executives, business unit leaders, product managers, and innovation strategists eager to gain a working knowledge of AI's capabilities and applications in a business context. Professionals in roles such as data analysts, IT managers, and project managers who collaborate with data science teams will find this course instrumental in bridging gaps and facilitating effective communication across departments.

Language

English

Prerequisites

Although there are no specific pre-requisites to attend this course, it would be helpful to have a basic understanding of business metrics and key performance indicators, elementary data literacy, basic understanding of project management, and general tech savviness.

$895

Length: 1.0 day (8 hours)

Level:

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