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AI FOR BUSINESS PRODUCTIVITY: BEYOND CHATGPT

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AI FOR BUSINESS PRODUCTIVITY: BEYOND CHATGPT

Artificial intelligence (AI) is competing in everything in today's businesses with all types, with AI help, companies became more able to centralise their resources, create and have more value also achieving impressive progress in the results, whatever your business is, to keep going, you should start paying attention to this technology and keep up with trends.

In today's fast-paced business landscape, competition is fierce and companies are constantly seeking ways to improve their operations and gain a competitive edge. One technology that has emerged as a game-changer is artificial intelligence (AI). By leveraging the power of AI, businesses can centralise their resources, unlock new sources of value, and achieve impressive results that were once thought impossible. Whether you're running a small startup or managing a large corporation, staying up-to-date with the latest trends and advancements in AI is essential to stay ahead of the curve and succeed in today's marketplace.

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KEY FEATURES

Modules: 12

Learning process estimated duration: TBD

Language: English

Instruction method: self-paced

Availability: anytime

BENEFITS

Real-world case studies and examples showcasing successful applications of AI in numerous industries and business functions;

Comprehensive coverage of different layers of AI, including natural language processing, prompt engineering, and machine learning;

Interactive modules with practical exercises;

TARGET AUDIENCE

Decision-makers and stakeholders interested in harnessing the power of AI tools

Decision-makers and stakeholders from different fields, such as marketing, sales, human resources, operations, customer relations, and others interested in harnessing the power of AI tools to boost productivity within their organisation.

Entrepreneurs and business owners

Entrepreneurs and business owners, regardless of their field of expertise, will gain the ability and knowledge to apply essential AI tools into their business functions to optimise efficiency throughout their company.

FACILITATOR

Amany Sadek
Head of Research - AMSI
The KPI Institute

Amany Sadek is an expert in fields of research and business development. With over a decade of experience in leading and executing successful market research and business development projects for multinational organisations, Amany has established herself as a trusted advisor to business leaders in the MENA region. Through her extensive work in business development, Amany has identified opportunities to introduce new technologies into the business space, including the transformative potential of AI. Drawing on her vast knowledge and research studying the latest AI technologies and their real-world application in various business functions, Amany developed this course.

Through the course, Amany shares her insights and practical knowledge, providing professionals with the tools and skills needed to identify opportunities for adoption AI in their organisations. Her unique perspective and wealth of knowledge makes her the ideal facilitator for this course, providing learners with invaluable guidance and support as they explore the exciting world of AI for Business Productivity: Beyond ChatGPT.

AGENDA

Chapter 1

The AI Revoultion

Introduction to the AI revolution;
Definition of AI;
Mid-20th century: emergence of AI research;
Obstacles and setbacks in AI research;
AI in everyday life;
AI in enhancing productivity and quality of life;
6 key benefits of AI in the future.

Chapter 2

Introduction to Artificial Intelligence

AI in business;
Artificial intelligence taxonomy;
Machine learning taxonomy;
Explaining of NLP technology;
Importance of NLP AI (Automation, Augmentation, Innovation);
Statistics on AI;
Challenges;
Misconception;
12 Key NLP AI applications;
12 Key NLP AI tools;
4 Examples of NLP AI tools;
1 Case study;
4 Deployment approaches;

Chapter 3

Prompt Engineering

Zero-shot prompting;
Few-shot prompting;
Chain-of-thought prompting;
Zero-shot chain-of-thought prompting;
Generic prompting framework;
3 Challenges in prompt engineering;
1 Importance;
1 Benefit;
5 best practices of prompt engineering;
1 Application;
Examples.

Chapter 4

Marketing

Statistics on NLP AI in Marketing
7 Applications:
- Sentiment Analysis;
- Chatbots;
- Content Generation;
- Keyword Research;
- Customer Insights;
- Personalization;
- Competitive Analysis;
Use Cases:
- Identify Brand Reputation;
- Audience Analysis;
- Content Writing;
- Image Generation;
8 Tools;
1 Challenges;
1 Case Study;
5 Applied exercises.

Chapter 5

Sales

Statistics on NLP AI in Sales;
4 Applications:
- Sentiment Analysis;
- Text Summarization;
- Named Entity Recognition;
- Natural Language Generation;
Use Cases:
- Lead Scoring;
- Opportunity Identification;
- Customer Insight Analysis;
4 Tools;
1 Benefit;
1 Challenge;
1 Case Study;
3 Applied exercises.

Chapter 6

Customer Relations

Statistics on NLP AI in Customer Relations;
3 Applications:
- Automated Responses;
- Sentiment Analysis;
- Language Translation;
Use Cases:
- Customer Sentiment Analysis;
- Responding to customer inquiries and complaints;
3 Tools;
1 Benefit;
1 Challenge;
1 Case Study;
5 Applied exercises.

Chapter 7

Operations

Statistics on NLP AI in Operations;
5 Applications:
- Sentiment Analysis;
- Test Mining;
- Chatbots;
- Document Summarization;
- Natural Language Generation (NLG);
Use Cases:
- Streamline Communication;
- Task Automation;
2 Tools;
1 Challenge;
1 Case Study;
5 Applied exercises.

Chapter 8

Human Resources

Statistics on NLP AI in Human Resources;
3 Applications:
- Text-to-Speech Conversion;
- Question Answering;
- Chatbots and Virtual Assistants;
Use Cases:
- Candidate Screening;
- Personalised guideness, support and FAQ's;
3 Tools;
2 Benefits;
1 Challenge;
1 Case Study;
5 Applied exercises.

Chapter 9

Innovation Management

Statistics on NLP AI in Innovation Management;
3 Applications:
- Automation;
- Trends Analysis;
- Collaboration and Communication;
2 Challenge;
2 Case Study;
4 Applied exercises.

Chapter 10

Ethics and Governance of AI

Ethical Principles;
Transparency;
Fairness;
Responsibility;
Privacy;
Collaboration;
Reliability.

Chapter 11

Integrating AI to Business

Integration Process:
- Choosing the right tools;
- Budget;
- Training;
Step-by-Step Implementation Strategy Process;

Chapter 12

Practical Application

Create an NLP Implementation Strategy;
Discuss possible ai integration into business functions.

LEARNING EXPERIENCE

Core course

This learning experience comprises of twelve structured chapters, presented through a combination of video lectures with step by step guides, knowledge assessments, and practical exercises. In addition, PDF copies of the slides for each chapter are provided to supplement the video content. The programme culminates in a practical application stage intended to demonstrate the learners' ability to effectively apply their acquired knowledge and skills.

After course

The learning process extends beyond the completion of the course, as participants are encouraged to take additional steps to reinforce their knowledge and drive practical application. These steps include:

Action plan: Develop a comprehensive action plan that outlines the specific actions and initiatives you intend to implement based on the knowledge and skills acquired during the training course.

NLP AI Tool Catalogue: Access a curated selection of the best NLP tools available in the industry. This toolkit equips you with the necessary resources and information to effectively leverage NLP in your day-to-day business operations.

NLP Application Index: Access a comprehensive index of relevant NLP applications and use cases. This index serves as a valuable reference guide to help you when integrating NLP AI tools into you business.