Your competitors are using AI to analyze sales, what do you do? Organizations today are very enamored with artificial intelligence capabilities to find hidden patterns and tease out issues in data and text. Each organization is trying to find an advantage over its competitors. This explosion of interest in AI poses a challenge to managers for effectively make sense of and use AI effectively.
The most nimble and adaptable companies and executives will thrive. Organizations that can rapidly sense and respond to opportunities will seize the advantage in the AI-enabled landscape (Erik Brynjolfsson and Andrew Mcafee, HBR).
Understanding, organizing, integrating and delivering AI is a key issue today. Businesses must be clear about the use and value of AI to avoid chasing an unachievable and expensive dream.
AI carries with it many implications. Jobs change dramatically, current skill become obsolete and displaced, there may exist resistance to change and unrealistic fear of robots taking over as well as other aspects of automation. This was true when automation hit the factory floor in the 1960’s and 1970’s. Union issues may pale by comparison with a white-collar response. Today pictures of auto assembly and other manufacturing plants show few workers. What detail work remains is slowly but surely giving way to automation.
However, the positive side promises better-paying work, newer and more interesting tasks and less physically demanding and boring operations.
Managers and professionals should prepare for the coming changes. What happens when AI becomes part of the work process? What can we expect from AI capabilities today? What may happen in the future? Answers to these and other questions are part of the value of this course.
By attending this highly informative 2 day workshop, delegates will learn how to:
- Explain the different uses of AI today
- Understand the techniques used for the different types of AI capability
- Define a roadmap to reach effective use of AI
- Explaining the technology available for AI
- Interpret how AI can help the business
- Select appropriate AI techniques for the business
- Understand the limits of AI
- Interpret social media data to understand market potential
- Suggest operational opportunities for AI
2 Day Course Outline:
- Registration will be at 08:30 on day one with the course commencing promptly at 09:00am each day and concluding at 05:00pm.
- There will be two short breaks and an hour for lunch each day.
Day One: Ai Today
Section 1: Artificial Intelligence Today
- What do we mean by AI
- Characteristics of AI:
- The AI value proposition?
- The simple goal focus of AI today
- Convergence of multiple AI goal seeking capability
- Defining your AI journey
- Video - Understanding Neural Nets
Section 2: Speech Recognition
- What drives speech recognition?
- Uses of speech recognition - e.g. voice assistants, virtual assistants
- How useful is the Chatbot?
- Detecting emotions in speech
- Issues in speech recognition
- Exercise - What speech do you want to recognize?
Section 3: Image and Facial Recognition
- The technique of image recognition
- Uses of image recognition - compliance, crime detection, law enforcement
- Recognizing faces, logos, images, gender, objects
- Imaging and retail - store layout, shelf space analysis
- Issues with image recognition
- Interactive discussion - What do you want to detect
Section 4: Text Analytics and AI
- The technique of text analytics
- Uses of semantic recognition analytics - Keyword and related phrase extraction
- Detecting emotions in text - sentiment analysis, summaries, content extraction
- NLP - Natural Language Processing
- Issues with facial recognition
- Video discussion - Can you depend on text analytical results?
Exam - Day 1
Day Two: AI Tomorrow
Section 5: Mapping Patterns in Data - Deep Learning
- What is deep learning about?
- Deep learning and visual recognition, e.g. medical detection
- Deep learning in science research
- Fraud detection
- Trusting deep learning results
- Interactive Exercise - Sentiment analysis and AI
Section 6: Operationalizing AI
- Linking AI capability into processes
- Intelligent process automation, analytics and insight
- Robotic process automation
- Processes and chatbots
- Limits to AI linkages
Section 7: The AI Roadmap
- Setting up the problem - what is your AI goal?
- How does your industry use AI now?
- What infrastructure will you need?
- Stages of AI growth and maturity
- Video Discussion - The AI Roadmap
Section 8: The Promise of AI
- Management application of AI to the workplace
- Integrating AI in products and services
- Emerging uses of AI
- AI becomes pervasive
- Impact of the AI on the future of jobs
- Exercise - Final Q and A
Exam -Day 2
Knowledge Consultants, Inc.
Frank Kowalkowski is President of Knowledge Consultants, Inc., a firm focusing on business performance, business/IT architecture and business analytical techniques. He has over 30 years of management and consulting experience in a wide variety of industries. He has been involved with many projects including business analysis, process management, business performance measurement, business and competitive intelligence and knowledge management.
In addition to being a keynote speaker at international conferences as well as a conference chair, he has written numerous papers and spoken at conferences on a variety of subjects. He conducts frequent seminars nationally and internationally on a variety of business management and information technology topics. He is co author of a quarterly column on architecture for the website TDAN.
He is the author of a 1996 book on Enterprise Analysis (Prentice – Hall, ISBN 0-13-282-3365) and numerous papers. Frank is currently working on a BPM book titled ‘The 5 Stage BPM Approach’ for managers and professionals and a new book titled ‘End to End Architecture (E2EA)’ scheduled for February 2016. His most recent publication is a featured chapter in the business architecture book titled ‘Business and Dynamic Change’ June, 2015 and a chapter on semantic process analytics in the book Passports to Success in BPM published in 2014 both are available on Amazon.
- Business Managers
- Strategic Planners
- Marketing Analysts
- Data Analysts and Architects
- Planning Managers
- Process and Business Analysts
- Business Architects, Enterprise and IT Architects
- Anyone interested in learning the Business Use of Artificial Intelligence