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A.I for Decision Makers and Senior Managers

Date : 26 & 17 August 2019

Objectives

  • Define and evaluate the direction and adoption rate of AI inside your business
  • Get familiar with essential concepts of Data Science, Artificial Intelligence, and Machine Learning
  • Practically understand how to map a business problem in your organization into an analytics solution
  • Explore the AI practical use cases and how it can boost business performance
  • Learn how to evaluate Analytics and AI solutions and the impact they could have on your business
  • Learn how to build an in-house data science team in your organization
  • Know what kind of training or skills do people need to build a successful data science team
  • Know the concepts and applications of some advanced topics in data science like deep learning, block chain, and further related topics.
  • Equip yourself with the language and framework needed in order to talk to both the technical experts and executives to better oversee the practical application of data science in your organization

This course was designed for:

  • C-Level Managers and Top decision makers
  • Analytics Project Managers
  • IT Project Managers
  • Lead Data Scientists
  • Data Scientists
  • Chief Technology Officers
  • Chief Information Officers
  • Business Intelligence Managers
  • Marketing Managers
  • Supervisors
  • Senior Executive and everyone who will be responsible for managing data science actions and plan to make data-driven decisions.

Delivery Methods

  • Lecture Slides
  • Group Discussions and Case Study Presentations
  • Practical Sessions and Introducing Related Tools

 

Trainer

Dr. Vala Ali Rohani

  • PhD of Computer Science
  • Founder and Chief Data Scientist at Data Corner (attach Data Corner’s Company Profile in website (on the page where this poster is (as a PDF Attachment))…
  • Vala, founder of Data Corner company, has a PhD of Computer Science and currently managing several analytics projects as a Chief Data Scientist.
  • He has developed a series of sentiment predictive algorithms to analyze millions of social data using machine learning techniques.
  • He also has several international certificates in Analyzing Social Networks (University of Michigan), Mining Massive Datasets (Stanford University), Hadoop Framework (University of California), Process Mining (Eindhoven University), and Practical Machine Learning (Johns Hopkins University).
  • Meanwhile, he has also served as a postdoctoral fellow in complex systems research group at University of Malaya. During his PhD studies, he was honored as a member of Bright Sparks Programme in UM and won several research grants.
  • Vala is renowned for his research and expertise on Data Science, Social Networks Analysis (SNA), Big Data Analysis, Process Mining, and Recommender Systems. He has more than 10 years of experience as lecturer in universities and has published several articles in international conferences and scholarly journals.

 

A.I for Executives

Date : TBD

Objectives

  • Get familiar with essential concepts of Data Science, Artificial Intelligence, and Machine Learning
  • Practically understand how to map a business problem in your organization into an analytics solution
  • Explore the AI practical use cases and how it can boost business performance
  • Learn how to evaluate Analytics and AI solutions and the impact they could have on your business
  • Learn how to build the in-house data science team in your organization
  • Know what kind of training or skills do people need to build a successful data science team
  • Know the concepts and applications of some advanced topics in data science like deep learning, block chain, and further related topics.

This course was designed for:

  • C-Level Managers and Top decision makers
  • Analytics Project Managers
  • IT Project Managers
  • Lead Data Scientists
  • Data Scientists
  • Chief Technology Officers
  • Chief Information Officers
  • Business Intelligence Managers
  • Marketing Managers
  • Supervisors
  • Senior Executive and everyone who will be responsible for managing data science actions and plan to make data-driven decisions.

Delivery Methods

  • Lecture Slides
  • Group Discussions and Case Study Presentations
  • Practical Sessions and Introducing Related Tools

Workshop Main Topics:

  1. Introduction to AI
  2. Success Stories: AI for Business Improvement
  3. Bringing AI to your Organization
  4. Introduction to Advanced Topics and Industry 4.0
  5. Plan a Real Analytics Project for Your Business

Trainer

Dr. Vala Ali Rohani

  • PhD of Computer Science
  • Founder and Chief Data Scientist at Data Corner 
  • Vala, founder of Data Corner company, has a PhD of Computer Science and currently managing several analytics projects as a Chief Data Scientist.
  • He has developed a series of sentiment predictive algorithms to analyze millions of social data using machine learning techniques.
  • He also has several international certificates in Analyzing Social Networks (University of Michigan), Mining Massive Datasets (Stanford University), Hadoop Framework (University of California), Process Mining (Eindhoven University), and Practical Machine Learning (Johns Hopkins University).
  • Meanwhile, he has also served as a postdoctoral fellow in complex systems research group at University of Malaya. During his PhD studies, he was honored as a member of Bright Sparks Programme in UM and won several research grants.
  • Vala is renowned for his research and expertise on Data Science, Social Networks Analysis (SNA), Big Data Analysis, Process Mining, and Recommender Systems. He has more than 10 years of experience as lecturer in universities and has published several articles in international conferences and scholarly journals.

The Workshop Schedule

Day 1

Day 2

08:30 – 09:00

Registration

08:30 – 09:00

Preparation

09:00 – 09:15

Opening Speech

09:00 – 10:00

Analytics Advanced Topics and Industry 4.0

09:15 – 10:45

Introduction to AI (1)

10:00 – 10:45

10:45- 11:00

Networking Break

10:45- 11:00

Networking Break

11:00- 12:00

Introduction to AI (2)

11:00- 12:00

Bringing AI to your Organization

12:00- 13:00

SMART method to identify the project objectives

12:00- 13:00

13:00- 14:00

Lunch

13:00- 14:00

Lunch

14:00- 15:00

Practical Session:

Identifying the analytics project  objective in your business

14:00- 15:00

How to Plan a Real Analytics Project for Your Business

15:00- 15:15

Networking Break

15:00- 15:15

Networking Break

15:15- 16:00

Success Stories: AI for Business Improvement

15:15- 16:00

Practical Session:

Planning a Real Analytics Project for Your Business

16:00- 17:00

16:00- 17:00

Group Discussion and Q&A