This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises. After completing this course you will be able to explain and describe each of the steps required to ensure success when you build and deploy AI solutions in your business enterprise.
Ce cours fait partie de la Spécialisation IBM AI Foundations for Business
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Sous-titres : Anglais
Compétences que vous acquerrez
Artificial Intelligence (AI)ManagementAnalyticsInnovationLeadership
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 3 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 3 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Programme du cours : ce que vous apprendrez dans ce cours
3 heures pour terminer
Introduction to AI and the AI Ladder
This course is designed for business and technical leaders who are considering AI-based solutions for business challenges in their enterprises. First, this course will provide learners with a business-oriented summary of today's technologies and themes in AI. Following this summary, we will cover the concept of modernizing your information architecture (IA), summarized in the phrase, "...there is no AI without IA". Most people think implementing AI is all about using AI technologies, but the reality is quite different. While you may be able to build small AI projects just focusing on AI technologies, the projects that will have the most impact on your business will require you to leverage not just AI technologies but other technologies related to data: your information architecture. Next, learners will be introduced to the concept of the AI Ladder. The AI Ladder is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions in large enterprises. This course will cover each step of the AI Ladder, explaining the relevance of each step and the work involved at each step. After completing this course learners will be equipped with a powerful set of strategic tools to use in successfully developing, deploying, and maintaining AI-based business solutions.
3 heures pour terminer
23 vidéos (Total 81 min), 10 lectures, 7 quiz
23 vidéos
IBM's position on the journey to AI44s
Our Story: Fundamentals of AI8 min
Our Story: Machine Learning7 min
Our Story: AI Specializations3 min
Our Story: Example from Amsel Health2 min
Summary: AI is about three things1 min
No AI Without IA Introduction1 min
Value Proposition2 min
Our Story: No AI Without IA8 min
Collect Data Introduction1 min
Ladder to AI: Collect1 min
Our Story: Collect Data 6 min
Organize Data Introduction1 min
Ladder to AI: Organize1 min
Our Story: Organize Data5 min
Analyze Data Introduction1 min
Ladder to AI: Analyze2 min
Our Story: Analyze Data5 min
Infuse AI Introduction1 min
Ladder to AI: Infuse1 min
Our Story: Infuse AI4 min
What is IBM Watson? (in case you are curious)2 min
10 lectures
Accelerate your journey to AI!2 min
Drivers of AI2 min
A helpful framework for understanding the next video2 min
Modernizing your information architecture3 min
Collect: Making data simple and accessible2 min
Organizing your data2 min
Analyzing your data4 min
Infuse AI5 min
Where are you on your Journey to AI? (interactive)10 min
Introduction to AI and the AI Ladder: Summary/Review10 min
7 exercices pour s'entraîner
Check for Understanding: Introduction to the AI Ladder and Fundamentals of AI5 min
Check for Understanding: No AI Without IA3 min
Check for Understanding: Collect Data5 min
Check for Understanding: Organize Data5 min
Check for Understanding: Analyze Data3 min
Check for Understanding: Infuse AI5 min
End of Module Quiz: Introduction to AI and the AI Ladder12 min
Avis
Meilleurs avis pour THE AI LADDER: A FRAMEWORK FOR DEPLOYING AI IN YOUR ENTERPRISE
par JJ4 déc. 2020
Outstanding course - from the robust conceptual framework to examples of the application in the quasi real-world scenario. I had to literally force myself to take breaks.
par MP12 oct. 2020
Easy for me as a data scientist This is a concise thoughtful guide for understanding adopting AI in an enterprise.\n\nWell done.
par AK25 juin 2020
Really Informative course with a glimpse at real world applications of AI & also a fascinating introduction to IBM Watson.
par GS14 juin 2020
it's a practical course which gives the whole understandable information about how to deploy AI in business enterprises.
À propos du Spécialisation IBM AI Foundations for Business
This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.
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