Exploring Innovation: Applications of Generative AI in Modern Commerce Tutorial
Discover the fascinating world of generative AI and its revolutionary impact on contemporary commerce. This video introduces you to the main concepts and applications of emerging technologies, such as Generative Adversarial Networks (GANs) and Reinforcement Learning. Illustrated with tangible and concrete case studies. Admire how these AI tools generate innovative product designs and advanced customer personalization. We will also explore the challenges and ethical dilemmas of implementing these technologies. Offering a comprehensive overview of the intersection between technological innovation and business strategy in the digital age. Join us in this exploration of the next step in the evolution of commerce.
- 3:25
- 1556 views
-
OneDrive - What is OneDrive ?
- 01:14
- Viewed 2452 times
-
Copilot (licence) - Use Copilot with Right-Click
- 02:50
- Viewed 1438 times
-
Outlook - Create and modify a group
- 2:19
- Viewed 5250 times
-
OneDrive - Edit, Delete a Share
- 02:16
- Viewed 1513 times
-
Power BI - Introduction to Power Bi
- 1:29
- Viewed 6988 times
-
Teams Premium - Activate the features of Teams Premium
- 3:48
- Viewed 14612 times
-
Teams Premium - Optimize Teams Premium settings in Administration
- 1:27
- Viewed 3088 times
-
Viva Engage - The role of an administrator
- 2:22
- Viewed 5326 times
-
Composing with AI : Exploring AIVA and Generative Music
- 2:04
- Viewed 2384 times
-
Societal Implications of Generative AI
- 5:58
- Viewed 2046 times
-
History of Generative AI
- 5:27
- Viewed 2037 times
-
Deciphering AI-Assisted Marketing: Navigating Personalization, Ethics, and User Engagement in the Digital Age
- 5:34
- Viewed 1926 times
-
What is Generative AI ?
- 2:40
- Viewed 1911 times
-
Generative AI : Between Extreme Personalization and Digital Ethics
- 2:17
- Viewed 1908 times
-
The Impact of Generative AI on Truth and Trust
- 3:16
- Viewed 1905 times
-
AI & Education : Technological Innovation Redefining Learning
- 2:23
- Viewed 1895 times
-
Optimizing Customer Journeys with AI: A Deep Dive
- 4:39
- Viewed 1874 times
-
Generative AI : Revolution, Efficiency, and Applications in the Modern World
- 1:52
- Viewed 1871 times
-
Image and Video Manipulation : The Impact of Deepfakes
- 1:51
- Viewed 1846 times
-
AI in Education : Technology and Innovation in Teacher Training
- 3:31
- Viewed 1840 times
-
Creative Symbiosis : When Generative AI Shapes Our Future
- 3:46
- Viewed 1809 times
-
Writing with Intelligence : Exploring GPT-4's Capabilities in Generative Writing
- 2:21
- Viewed 1803 times
-
Adaptation Strategies for Organizations and Individuals
- 3:49
- Viewed 1770 times
-
From Data to Discoveries : The Art of Innovation with Generative AI
- 4:38
- Viewed 1762 times
-
The Impact of AI in the World of Science
- 1:44
- Viewed 1698 times
-
Generative AI Prompts : Harnessing the Power of Models
- 3:01
- Viewed 1673 times
-
Generative AI in Marketing : Revolutionize Your Advertising Campaigns
- 4:09
- Viewed 1672 times
-
The Essence of Generative AI in Artistic Creation
- 1:27
- Viewed 1668 times
-
AI and Automated Assessment
- 4:55
- Viewed 1642 times
-
Educational Revolution : Shaping the Future of Learning with Artificial Intelligence
- 6:39
- Viewed 1640 times
-
Keys to Success, Pitfalls to Avoid, and Best Practices
- 2:29
- Viewed 1638 times
-
DALL·E : Turning Words into Artworks
- 1:18
- Viewed 1626 times
-
Discovering Plugins in Chat GPT-4 : Maximizing Generative AI's Capabilities
- 2:12
- Viewed 1614 times
-
AI in Professional and Continuing Education
- 2:26
- Viewed 1582 times
-
Other Wonders of AI : The Revolution in Image Creation
- 1:19
- Viewed 1581 times
-
Generative AI in the Digital Space : From Ideation to Presentation
- 2:09
- Viewed 1542 times
-
AI & Education : Interactive Learning and Adaptive Assessment
- 2:55
- Viewed 1539 times
-
Midjourney : The Symbiosis of Imagination and AI
- 1:32
- Viewed 1518 times
-
Unveiling Prompts : The Evolution and Future of Human-Machine Interaction
- 2:39
- Viewed 1517 times
-
Navigating the Neural Forest : Secrets of AI Prompts
- 2:05
- Viewed 1512 times
-
Advanced Data Analysis with Chat GPT-4 : Unleashing the Power of Data Analysis
- 2:17
- Viewed 1362 times
-
Deep Dive into NVIDIA Omniverse in 3D Modeling
- 2:25
- Viewed 1196 times
-
Shaping the Educational Future : AI, Diversity, Inclusion & Innovative Case Studies
- 3:48
- Viewed 1152 times
-
Create an insights grid
- 01:19
- Viewed 417 times
-
Make changes to a text
- 01:05
- Viewed 342 times
-
Edit in Pages
- 01:49
- Viewed 293 times
-
Use the narrative Builder
- 01:31
- Viewed 288 times
-
Use a Copilot Agent
- 01:24
- Viewed 286 times
-
Other Coaches
- 01:45
- Viewed 270 times
-
Describe a copilot agent
- 01:32
- Viewed 269 times
-
Microsoft Copilot Academy
- 00:42
- Viewed 268 times
-
Share a document with copilot
- 00:36
- Viewed 261 times
-
Generate and manipulate an image in Word
- 01:19
- Viewed 261 times
-
Distribute tasks within a team with ChatGPT
- 01:26
- Viewed 261 times
-
Connect Copilot to a third party app
- 01:11
- Viewed 260 times
-
Configurate a page with copilot
- 01:47
- Viewed 256 times
-
Create Outlook rules with Copilot
- 01:12
- Viewed 255 times
-
Analyze a video
- 01:21
- Viewed 249 times
-
Generate the email for the recipient
- 00:44
- Viewed 243 times
-
Publish the agent and make it accessible
- 01:39
- Viewed 243 times
-
Create an agent for a team
- 01:53
- Viewed 243 times
-
Add new actions
- 01:54
- Viewed 242 times
-
Install and access Copilot Studio in Teams
- 01:38
- Viewed 239 times
-
Prompt coach
- 02:49
- Viewed 238 times
-
Create an agent with Copilot Studio
- 01:52
- Viewed 237 times
-
Use the Copilot pane
- 01:12
- Viewed 234 times
-
Create a first action
- 01:59
- Viewed 232 times
-
Generate and manipulate an image in PowerPoint
- 01:47
- Viewed 231 times
-
Configure a Copilot Agent
- 02:39
- Viewed 231 times
-
Access Copilot Studio
- 01:09
- Viewed 228 times
-
Process text
- 01:03
- Viewed 225 times
-
Modify, Share, and Install an Agent
- 01:43
- Viewed 225 times
-
Rewrite with Copilot
- 01:21
- Viewed 222 times
-
Agents in SharePoint
- 02:44
- Viewed 210 times
-
Structure and optimize team collaboration with Copilot
- 02:28
- Viewed 173 times
-
Copilot at the service of project reports
- 02:36
- Viewed 145 times
-
Generate a meeting summary with ChatGPT
- 01:24
- Viewed 143 times
-
Project mode
- 01:31
- Viewed 140 times
-
Organize an action plan with Copilot and Microsoft Planner
- 01:31
- Viewed 135 times
-
Manage topics
- 01:51
- Viewed 133 times
-
Initiate a tracking table with ChatGPT
- 01:35
- Viewed 133 times
-
Initiate a project budget tracking table with Copilot
- 02:54
- Viewed 125 times
-
Develop and share a clear project follow-up with Copilot
- 02:18
- Viewed 119 times
-
Get started with Copilot Studio
- 01:25
- Viewed 113 times
-
Analyze the Copilot Studio agent
- 01:25
- Viewed 113 times
-
Create SharePoint Pages with Copilot
- 01:49
- Viewed 110 times
-
Copilot Studio agent settings
- 01:33
- Viewed 105 times
-
Share Requests with Your Team
- 03:07
- Viewed 104 times
-
Manage knowledge sources
- 01:11
- Viewed 101 times
-
Reply to an Email with Copilot
- 01:10
- Viewed 100 times
-
Task Accuracy in Prompting
- 02:31
- Viewed 80 times
-
Plan with Copilot
- 01:15
- Viewed 70 times
-
Extract Text from an Image
- 01:07
- Viewed 57 times
-
Generate a Video
- 01:49
- Viewed 56 times
-
Add Speaker Notes
- 00:56
- Viewed 52 times
-
Translate a presentation
- 01:38
- Viewed 49 times
-
Query an Attached Meeting
- 01:51
- Viewed 43 times
-
Format and example for optimal results
- 02:03
- Viewed 37 times
-
Personality and tone for a believable rendering
- 01:48
- Viewed 37 times
-
What is a prompt in conversational AI?
- 02:02
- Viewed 34 times
-
The Importance of Context in Your Applications
- 02:14
- Viewed 31 times
-
The Basis of Prompting in Conversational AI
- 02:41
- Viewed 28 times
-
Personality and tone for a believable rendering
- 01:48
- Viewed 37 times
-
Format and example for optimal results
- 02:03
- Viewed 37 times
-
The Importance of Context in Your Applications
- 02:14
- Viewed 31 times
-
Task Accuracy in Prompting
- 02:31
- Viewed 80 times
-
The Basis of Prompting in Conversational AI
- 02:41
- Viewed 28 times
-
What is a prompt in conversational AI?
- 02:02
- Viewed 34 times
-
Extract Text from an Image
- 01:07
- Viewed 57 times
-
Reply to an Email with Copilot
- 01:10
- Viewed 100 times
-
Create SharePoint Pages with Copilot
- 01:49
- Viewed 110 times
-
Query an Attached Meeting
- 01:51
- Viewed 43 times
-
Plan with Copilot
- 01:15
- Viewed 70 times
-
Share Requests with Your Team
- 03:07
- Viewed 104 times
-
Translate a presentation
- 01:38
- Viewed 49 times
-
Generate a Video
- 01:49
- Viewed 56 times
-
Add Speaker Notes
- 00:56
- Viewed 52 times
-
Initiate a project budget tracking table with Copilot
- 02:54
- Viewed 125 times
-
Develop and share a clear project follow-up with Copilot
- 02:18
- Viewed 119 times
-
Organize an action plan with Copilot and Microsoft Planner
- 01:31
- Viewed 135 times
-
Structure and optimize team collaboration with Copilot
- 02:28
- Viewed 173 times
-
Copilot at the service of project reports
- 02:36
- Viewed 145 times
-
Initiate a tracking table with ChatGPT
- 01:35
- Viewed 133 times
-
Distribute tasks within a team with ChatGPT
- 01:26
- Viewed 261 times
-
Generate a meeting summary with ChatGPT
- 01:24
- Viewed 143 times
-
Project mode
- 01:31
- Viewed 140 times
-
Create an agent for a team
- 01:53
- Viewed 243 times
-
Install and access Copilot Studio in Teams
- 01:38
- Viewed 239 times
-
Analyze the Copilot Studio agent
- 01:25
- Viewed 113 times
-
Publish the agent and make it accessible
- 01:39
- Viewed 243 times
-
Copilot Studio agent settings
- 01:33
- Viewed 105 times
-
Add new actions
- 01:54
- Viewed 242 times
-
Create a first action
- 01:59
- Viewed 232 times
-
Manage topics
- 01:51
- Viewed 133 times
-
Manage knowledge sources
- 01:11
- Viewed 101 times
-
Create an agent with Copilot Studio
- 01:52
- Viewed 237 times
-
Access Copilot Studio
- 01:09
- Viewed 228 times
-
Get started with Copilot Studio
- 01:25
- Viewed 113 times
-
Introduction to PowerBI
- 00:60
- Viewed 266 times
-
Introduction to Microsoft Outlook
- 01:09
- Viewed 252 times
-
Introduction to Microsoft Insights
- 02:04
- Viewed 246 times
-
Introduction to Microsoft Viva
- 01:22
- Viewed 280 times
-
Introduction to Planner
- 00:56
- Viewed 258 times
-
Introduction to Microsoft Visio
- 02:07
- Viewed 324 times
-
Introduction to Microsoft Forms
- 00:52
- Viewed 263 times
-
Introducing to Microsoft Designer
- 00:28
- Viewed 386 times
-
Introduction to Sway
- 01:53
- Viewed 341 times
-
Introducing to Word
- 01:00
- Viewed 245 times
-
Introducing to SharePoint Premium
- 00:47
- Viewed 233 times
-
Create a call group
- 01:15
- Viewed 412 times
-
Use call delegation
- 01:07
- Viewed 199 times
-
Assign a delegate for your calls
- 01:08
- Viewed 379 times
-
Ring multiple devices simultaneously
- 01:36
- Viewed 203 times
-
Use the "Do Not Disturb" function for calls
- 01:28
- Viewed 205 times
-
Manage advanced call notifications
- 01:29
- Viewed 211 times
-
Configure audio settings for better sound quality
- 02:08
- Viewed 339 times
-
Block unwanted calls
- 01:24
- Viewed 246 times
-
Disable all call forwarding
- 01:09
- Viewed 228 times
-
Manage a call group in Teams
- 02:01
- Viewed 250 times
-
Update voicemail forwarding settings
- 01:21
- Viewed 201 times
-
Configure call forwarding to internal numbers
- 01:02
- Viewed 205 times
-
Set call forwarding to external numbers
- 01:03
- Viewed 224 times
-
Manage voicemail messages
- 01:55
- Viewed 340 times
-
Access voicemail via mobile and PC
- 02:03
- Viewed 376 times
-
Customize your voicemail greeting
- 02:17
- Viewed 200 times
-
Transfer calls with or without an announcement
- 01:38
- Viewed 262 times
-
Manage simultaneous calls
- 01:52
- Viewed 227 times
-
Support third-party apps during calls
- 01:53
- Viewed 280 times
-
Add participants quickly and securely
- 01:37
- Viewed 212 times
-
Configure call privacy and security settings
- 02:51
- Viewed 210 times
-
Manage calls on hold
- 01:20
- Viewed 215 times
-
Live transcription and generate summaries via AI
- 03:43
- Viewed 220 times
-
Use the interface to make and receive calls
- 01:21
- Viewed 207 times
-
Draft a Service Memo
- 02:33
- Viewed 257 times
-
Extract Invoice Data and Generate a Pivot Table
- 03:26
- Viewed 245 times
-
Formulate a Request for Pricing Conditions via Email
- 02:32
- Viewed 395 times
-
Analyze a Supply Catalog Based on Needs and Budget
- 02:41
- Viewed 369 times
-
SharePoint Page Co-Editing: Collaborate in Real Time
- 02:14
- Viewed 128 times
-
Other Coaches
- 01:45
- Viewed 270 times
-
Agents in SharePoint
- 02:44
- Viewed 210 times
-
Prompt coach
- 02:49
- Viewed 238 times
-
Modify, Share, and Install an Agent
- 01:43
- Viewed 225 times
-
Configure a Copilot Agent
- 02:39
- Viewed 231 times
-
Describe a copilot agent
- 01:32
- Viewed 269 times
-
Rewrite with Copilot
- 01:21
- Viewed 222 times
-
Analyze a video
- 01:21
- Viewed 249 times
-
Use the Copilot pane
- 01:12
- Viewed 234 times
-
Process text
- 01:03
- Viewed 225 times
-
Create an insights grid
- 01:19
- Viewed 417 times
-
Generate and manipulate an image in PowerPoint
- 01:47
- Viewed 231 times
-
Interact with a web page with Copilot
- 00:36
- Viewed 252 times
-
Create an image with Copilot
- 00:42
- Viewed 428 times
-
Summarize a PDF with Copilot
- 00:41
- Viewed 245 times
-
Analyze your documents with Copilot
- 01:15
- Viewed 250 times
-
Chat with Copilot
- 00:50
- Viewed 257 times
-
Particularities of Personal and Professional Copilot Accounts
- 00:40
- Viewed 416 times
-
Data Privacy in Copilot
- 00:43
- Viewed 253 times
-
Access Copilot
- 00:25
- Viewed 442 times
-
Use a Copilot Agent
- 01:24
- Viewed 286 times
-
Edit in Pages
- 01:49
- Viewed 293 times
-
Generate and manipulate an image in Word
- 01:19
- Viewed 261 times
-
Create Outlook rules with Copilot
- 01:12
- Viewed 255 times
-
Generate the email for the recipient
- 00:44
- Viewed 243 times
-
Action Function
- 04:18
- Viewed 209 times
-
Search Function
- 03:42
- Viewed 256 times
-
Date and Time Function
- 02:53
- Viewed 269 times
-
Logical Function
- 03:14
- Viewed 415 times
-
Text Function
- 03:25
- Viewed 267 times
-
Basic Function
- 02:35
- Viewed 225 times
-
Categories of Functions in Power FX
- 01:51
- Viewed 269 times
-
Introduction to Power Fx
- 01:09
- Viewed 266 times
-
The New Calendar
- 03:14
- Viewed 455 times
-
Sections
- 02:34
- Viewed 237 times
-
Customizing Views
- 03:25
- Viewed 231 times
-
Introduction to the New Features of Microsoft Teams
- 00:47
- Viewed 522 times
-
Guide to Using the Microsoft Authenticator App
- 01:47
- Viewed 286 times
-
Turn on Multi-Factor Authentication in the Admin Section
- 02:07
- Viewed 200 times
-
Manual Activation of Multi-Factor Authentication
- 01:40
- Viewed 147 times
-
Concept of Multi-Factor Authentication
- 01:51
- Viewed 270 times
Objectifs :
This document aims to explore the transformative power of generative AI in commerce, detailing its mechanisms, applications, benefits, and challenges. It seeks to provide a comprehensive understanding of how generative AI technologies, such as GANs and VAEs, are reshaping the landscape of product design and customer personalization.
Chapitres :
-
Introduction to Generative AI in Commerce
Generative AI is revolutionizing the field of commerce by pushing the boundaries of technology and innovation. This document delves into the new frontiers of generative AI, particularly focusing on its transformative capabilities and the role of generative adversarial networks (GANs) in generating unprecedented data. -
Understanding Generative Adversarial Networks (GANs)
GANs consist of two neural networks: the generator and the discriminator. The generator creates images, while the discriminator evaluates them. This process involves the generator producing an image, which the discriminator assesses, leading to adjustments in the generator's parameters for improved output. This concurrent training results in the creation of realistic virtual products, enabling companies to design and preview products in various virtual environments before manufacturing. -
AI-Driven Personalization in Commerce
AI is transforming commerce through personalization by analyzing customer data, including purchase histories and browsing behaviors. This analysis allows AI to understand consumer preferences, generating tailored recommendations and creating personalized products that align closely with individual tastes. This shift from targeting general market segments to addressing individual customers enhances satisfaction and loyalty. -
Emerging Technologies in Generative AI
Beyond GANs, other technologies like Variational Autoencoders (VAEs) are emerging in the generative AI landscape. VAEs can generate new data, such as product designs or marketing strategies, by capturing the statistical essence of training data. They facilitate the exploration of innovative solutions while remaining aligned with existing preferences. Additionally, reinforcement learning techniques can optimize strategies by learning from interactions and adapting to maximize rewards, such as customer conversions. -
Concrete Applications of Generative AI in Commerce
Generative AI is being utilized in various practical applications within commerce. For instance, it can automatically generate product designs based on consumer feedback and preferences, optimizing offerings to meet market expectations. Another application involves using GANs to create virtual product images for online catalogs, enhancing visual appeal and customer engagement. -
Challenges and Ethical Considerations
While the integration of generative AI in commerce offers numerous benefits, it also presents challenges and ethical concerns. Key issues include ensuring that the data used to train AI models is free from bias and regulating the decisions generated by AI. Data quality and reliability are crucial, as AI models depend on the integrity of the data they are trained on. Furthermore, technological acceptance and adaptation require significant investments in both finances and skill development. -
Conclusion: The Future of Generative AI in Commerce
Generative AI is emerging as a significant vector of innovation for the future of commerce. By merging technological advancements with ethical principles, we can envision a future where technology enriches the human experience. The journey towards this future involves addressing the challenges and harnessing the potential of generative AI to create a more personalized and efficient commercial landscape.
FAQ :
What are Generative Adversarial Networks (GANs)?
Generative Adversarial Networks (GANs) are a type of machine learning model that consists of two neural networks, the generator and the discriminator, which work together to create realistic data by competing against each other.
How does AI-driven personalization work in commerce?
AI-driven personalization works by collecting and analyzing customer data, such as purchase histories and browsing behaviors, to understand consumer preferences. This allows companies to generate tailored recommendations and create personalized products that meet individual needs.
What are Variational Autoencoders (VAEs) used for?
Variational Autoencoders (VAEs) are used to generate new data, such as product designs or marketing strategies, by capturing the statistical essence of training data. They help in exploring new ideas while remaining aligned with existing preferences.
What challenges does generative AI face in commerce?
Generative AI faces several challenges, including ethical issues related to data bias, the need for high-quality data, and the requirement for significant investments in technology and skill development for successful implementation.
How can generative AI improve product design?
Generative AI can improve product design by automatically generating designs based on consumer feedback and preferences, allowing companies to optimize their offerings to better meet market expectations.
Quelques cas d'usages :
Automated Product Design Generation
Companies can use generative AI to automatically create product designs based on consumer data, such as feedback and preferences. This approach helps optimize product offerings to align closely with market demands.
Virtual Product Image Creation
Retailers can leverage GANs to generate virtual product images for their online catalogs. This enhances visual appeal and allows customers to better visualize products before making a purchase.
Personalized Marketing Strategies
Businesses can utilize VAEs to develop innovative marketing strategies by analyzing existing data and generating new ideas that resonate with their target audience, thus improving engagement and conversion rates.
Optimizing Customer Conversion Rates
By employing reinforcement learning techniques, companies can iteratively optimize their marketing strategies based on customer interactions, maximizing conversions and sales through data-driven decision-making.
Glossaire :
Generative Adversarial Networks (GANs)
A class of machine learning frameworks where two neural networks, the generator and the discriminator, compete against each other to create realistic data. The generator creates images, while the discriminator evaluates them, leading to improved outputs over time.
Neural Networks
Computational models inspired by the human brain, consisting of interconnected nodes (neurons) that process data and learn patterns through training.
AI-driven Personalization
The use of artificial intelligence to tailor products and services to individual consumer preferences by analyzing data such as purchase history and browsing behavior.
Variational Autoencoders (VAEs)
A type of generative model that learns to encode input data into a compressed representation and then decode it back to generate new data, often used for creating innovative solutions based on existing examples.
Reinforcement Learning
A type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards, often used to optimize strategies in various applications.
Data Integrity
The accuracy and consistency of data over its lifecycle, crucial for ensuring the reliability of AI models.
Ethical Issues in AI
Concerns related to the moral implications of AI technologies, including bias in data, decision-making transparency, and the impact of AI on society.