Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise
Transform your business with 'Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise,' a course designed for executives and managers seeking to leverage AI's transformative power to gain a competitive edge.
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Essential Skills Gained
Understand the intersection between big data, data science, and AI to enhance business goals.
Explore AI frameworks and tools to make informed decisions on AI applications.
Evaluate cloud-based vs. on-premise solutions for AI implementation.
Gain skills to build and lead effective data science, AI, and machine learning teams.
Format
- Instructor-led
- 1 days with lectures and hands-on labs.
Audience
- C-suite executives
- Business unit leaders
- Product managers
- Innovation strategists
Description
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. Our expert facilitators will also give you an exclusive look into the future of business AI through bonus chapters on Generative AI and emerging trends in data analytics and machine learning. These forward-looking topics will equip you to anticipate and adapt to rapidly changing technologies. Through engaging lectures, timely demonstrations, and interactive discussions, you'll walk away with a balanced understanding of AI's real-world applications and future potential. Whether you're aiming to enhance existing systems or pioneering new AI initiatives, this comprehensive course ensures that you leave with actionable insights and a roadmap for meaningful change.
Course Outline
Download PDFIntroduction 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
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
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
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
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
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
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
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
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
Your Team has Unique Training Needs.
Your team deserves training as unique as they are.
Let us tailor the course to your needs at no extra cost.
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier