Fractal Analytics
Successful AI Strategies: A CEO's Perspective

Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.

Fractal Analytics

Successful AI Strategies: A CEO's Perspective

Fractal Analytics
Pranay Agrawal

Instructors: Fractal Analytics

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain key components for driving desired outcomes from AI

  • Explain strategies for error reduction and accuracy improvement in AI

  • Gain insights into optimizing organizational effectiveness in AI adoption

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Leadership Strategies for AI and Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 5 modules in this course

Welcome to this module where we will unpack "What defines the success of your AI development?" In this module on AI adoption, you will delve into a comprehensive understanding of defining clear AI objectives, drawing insights from real-world examples such as Google Glass and Netflix. You will explore the crucial alignment of AI initiatives with business goals, taking into account market dynamics and ethical considerations. Through the lens of user-centered design and the DVF framework, you will craft purpose-driven AI strategies tailored to organizational needs. You'll also gain insights into engineering aspects, including scalable data pipelines and the critical role of high-quality data. By embracing design thinking principles, empathy, and iterative prototyping, you will learn to translate visions into intuitive AI solutions. The module concludes with actionable steps for implementation, emphasizing collaboration, monitoring, and continuous refinement

What's included

4 videos5 readings2 assignments1 discussion prompt

Welcome to this module on the synergy of AI, Data Engineering and Design Thinking. This module explores the crucial elements of AI adoption for achieving desired outcomes. By dissecting the equation Results (R) = AI × E^2 × D^2, participants uncover the pivotal roles of Data Engineering and Design Thinking. Data Engineering establishes robust data pipelines, enabling efficient processing and scalability crucial for AI functionality. Design Thinking ensures user-centric solutions, aligning AI applications with user needs through intuitive design and empathetic understanding. Through real-life examples and core principles, participants learn to orchestrate a harmonious blend of AI, engineering, and design, unlocking tangible value and fostering innovation. The module equips participants to champion AI implementations that drive sustainable business growth and user satisfaction.

What's included

7 videos3 readings2 assignments

Welcome to "Addressing Errors in AI." Begin with a look back at Siri's early days, where amusing glitches highlighted AI's challenges. Discover why diverse and accurate data are crucial for AI success and how poor data quality can derail projects. Learn proactive strategies for ensuring data quality through governance and monitoring. Next, delve into the vital role of computing power in AI. Explore the hardware and software driving AI advancements, from GPUs and TPUs to frameworks like TensorFlow and PyTorch. Lastly, uncover the transformative power of AI technology, including deep learning and Generative Adversarial Networks (GANs). Understand how these technologies emulate human functions and enhance AI's capabilities. In conclusion, grasp the importance of reducing AI errors through advanced computing, quality data, and cutting-edge technology. As a business leader, understanding these nuances is key to leveraging AI's potential and fostering trust within your organization. Join us to unlock the true potential of AI!

What's included

4 videos2 readings2 assignments

Welcome to this module on Organizational Effectiveness in AI. This module explores the key elements driving successful AI adoption within organizations, focusing on the equation OE = T × C × G, where Organizational Effectiveness (OE) is determined by Talent (T), Culture (C), and Governance (G). You will delve into the importance of recruiting skilled AI talent, fostering a culture of experimentation and learning, and establishing robust governance frameworks to ensure ethical AI deployment. By understanding the interconnected nature of these components, you will gain insights into achieving organizational effectiveness in the AI era.

What's included

4 videos1 reading2 assignments

Welcome to this module on successful AI implementation. In this module, we delve into the intricacies of AI adoption with a focus on two pivotal strategies: Narrowly Focused AI and Human-Centered Design. Through real-world examples like Digi Mart's customer support AI and a retail giant's AI-driven personalization, we explore how organizations can harness AI to streamline processes and enhance user experiences. We also discuss the importance of strategic decision-making in AI implementation, comparing the risks and benefits of Decision-Forward and Decision-Backward approaches. This comprehensive exploration equips business leaders with insights and tools to effectively integrate AI into their operations, aligning technological advancements with organizational goals and user needs.

What's included

3 videos1 reading2 assignments

Instructors

Fractal Analytics
Fractal Analytics
16 Courses52,115 learners
Pranay Agrawal
Fractal Analytics
1 Course567 learners

Offered by

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions