Leading Your Organization Through Transformation With Data Driven and AI Strategies

AI-Augmented Command & Control | LLM Integration for Strategic Foresight | Neural Network Applications for Tactical Advantage | Autonomous Systems Deployment & Ethics

In today’s rapidly evolving digital landscape, organizations must stay ahead of the curve to remain competitive and relevant. The “Leading Your Organization Through Transformation With Data Driven and AI Strategies” course is an essential investment for any forward-thinking organization aiming to harness the transformative power of AI. This intensive two-day program equips leaders with the critical skills and knowledge to drive innovation, streamline operations, and foster a culture of continuous improvement. By attending, participants will gain invaluable insights into strategic AI implementation, leadership in digital change, and practical tools for managing AI projects, ensuring their organizations not only survive but thrive in the age of digital disruption. Don’t miss the opportunity to lead your organization into the future with confidence and clarity.

Programme Objectives

Upon completing the program, participants will be able to:

  • Understand the fundamentals of AI and its potential impact in your industry or sector
  • Identify relevant AI use cases for their specific challenges.
  • Evaluate the ethical implications of AI
  • Utilize AI frameworks to develop effective strategies.
  • Create actionable roadmaps for AI implementation within their business units

Programme Design And Structure (2 Day Workshop)

This two-day workshop is designed to equip leaders with a comprehensive understanding of artificial intelligence (AI) and its transformative potential in different industries/sectors. Participants will gain insights into the fundamentals of AI, explore real-world AI use cases relevant to the their industry/sector, and delve into the ethical considerations surrounding AI implementation. The workshop will also provide hands-on experience with AI frameworks, empowering leaders to identify challenges, develop strategies, and create actionable roadmaps for integrating AI solutions into their operations.

DAY 1

Morning Session

Topic: Welcome And Introductions

  • Overview of workshop and objectives
  • Introduction to organization and speaker

Topic: AI 101

  • Overview of data science, digital transformation, and AI
  • Key terminology
  • AI principles and types of AI

Topic: AI Use-cases

  • Deepdive into Data, AI and Digital Transformation use-cases
  • For other industries
  • Relevance to your industry sector/context

Afternoon Session

Topic: Data Management

  • Data collection
  • Data quality
  • Data storage

Topic: Generative AI

  • Large Language Models (LLMs)
  • Retrieval Augmented Generation (RAG)
  • Agentic workflow

Topic: AI Ethics

  • Biases and fairness in AI algorithms
  • Transparency and accountability in AI decision-making
  • Human oversight and control of AI systems
  • Potential for misuse of AI technology

Topic: AI Frameworks

  • Overview of AI frameworks and canvases for problem-solving and strategy development
  • Selecting the most suitable framework for the workshop: KAIzen Framework

DAY 2

Morning Session

Topic: Identifying Challenges and Objectives

  • Group discussions to identify participants’ specific problems and objectives

  • Short presentations by each group to share their findings
  • Facilitated discussion to identify common themes and challenges across groups

Topic: Applying the KAIzen Framework (Part 1)

  • Guided walkthrough of the KAIzen framework, explaining each component

  • Group discussion to apply the framework to their identified challenges and objectives

Afternoon Session

Topic: Applying the KAIzen Framework (Part 2)

  • Group presentations of completed framework

  • Facilitated discussion on commonalities, best practices, and potential synergies

Topic: Synthesis and Roadmap Development

  • Consolidation of insights from the completed framework

  • Identifying key actions, milestones, and resource requirements
  • Developing an actionable roadmap for each group to take back and implement

Topic: Conclusion and Next Steps

  • Recap of the workshop and key learnings

  • Discussing potential follow-up support, training, and resources
  • Closing remarks and workshop evaluation

Course Schedule

NEXT RUN DATE

Day 1 – Monday, 15 July (Full Day); and
Day 2 – Tuesday 16 July 2024 (Full Day)

Faculty

LEARN FROM VETERAN DATA SCIENTISTS/A.I. EXPERTS AND PROFESSIONAL EDUCATORS

JCube faculty have collectively trained more than 10,000 professionals are among the most respected and passionate practitioners and leaders in the field of digital science and transformation. Their expertise provides the highest quality of instruction to learners. Faculty also teach Data Science at renowned Universities at Undergraduate, Masters and Doctoral Levels and are known to be the best teachers who are patient and experienced in simplifying difficult concepts for learners to grasp easily.

DR. JACK HONG
DR. JACK HONGPROGRAMME DIRECTOR/LEAD FACULTY
Co-founder of Research Room, an A.I. consulting and development outfit that delivers decision-making capabilities for complex use-cases, Dr. Hong specializes in developing prediction and decision engines with the use of alternative data.

Some of his notable works include omni-channel content personalization systems, manpower resource optimization using deep reinforcement learning, real estate valuation engines, and highly personalized portfolio strategies using applied artificial intelligence (AI). He is also AI Technology Consultant at Certis Group, Data Science Advisor at Vertex Holdings, advising on Human Conversational AI, Predictive Resource Allocation, Super-Intelligence in Natural Language Capabilities in Finance. He is also CEO of Integrum Global. adjunct faculty with the Singapore Management University (SMU), and has been actively teaching undergraduate, postgraduate, and professional programmes since 2015. He is also the lead faculty for the highly acclaimed “Leading Digital Transformation” course for MBA students.

DR. KE JINGHAO
DR. KE JINGHAOCO-LEAD FACULTY
Dr. Jinghao Ke is a distinguished professional in the fields of AI, finance, and business analytics, with a Ph.D. in Business (Finance) from Singapore Management University. Currently serving as the CEO of JCube Institute and holding various other leadership roles, Jinghao has spearheaded numerous projects across AI development, financial technology, and management consulting. His leadership extends to transformative projects in AI, including the development of educational curriculums and analytics solutions. This includes developing a proprietary digital mastery curriculum for professionals, building a recommendation system for events, predicting taxi waiting times, and deploying a business intelligence system for a large MNC.

Dr. Ke’s engagement with the Vietnam Chamber of Commerce in Singapore has enriched his leadership in AI, finance, and business analytics, fostering key connections within the Vietnam business network. This collaboration highlights his adeptness in international business, leveraging these relationships to drive cross-border projects and innovation, particularly in Southeast Asia’s dynamic markets.

Dr. Ke’s academic contributions as an adjunct faculty member at Singapore Management University, coupled with a rich industry background, demonstrate a profound ability to blend theoretical knowledge with practical applications, benefiting both businesses and students alike. Jinghao’s expertise is further highlighted by his role in founding and leading innovative enterprises and his contributions to the fintech and edutech sectors, showcasing a versatile skill set and a commitment to driving digital transformation.

DR. JONATHAN KHOO
DR. JONATHAN KHOOCO-LEAD FACULTY
Jonathan Khoo, Ph.D. is a full-stack app developer who likes building stuff. He has published papers in Genetic Programming and has a working paper in Energy Prediction. He has successfully delivered many projects on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to many large organizations. Khoo obtained his Doctor of Philosophy in Business (Finance) at the Singapore Management University. His dissertation thesis investigates corporate finance through the lens of social network graph analytics, where he found a statistically significant “ownership centrality” effect in firm performance. Prior to that, he completed his Masters in Industrial Engineering and Operations Research at the University of Michigan (Ann Arbor), a year after he received degrees with Highest Honors in Economics and Summa Cum Laude in Electrical Engineering. He is an alumnus of Raffles Institution and Hwa Chong Institution.

Course Fees

CORPORATE RATES:

2-days workshop: S$12,000 for up to 15 leaders ; S$19,200 for up to 25 leaders

Note: Our course fees are exempt from GST charges.

LEARNING GRANTS/CORPORATE SUBSIDIES AND FLEXIBLE FINANCING OPTIONS

In order to make our courses more accessible to the public, JCube has a wide range of financing options to ensure that no individual is deprived of the opportunity to learn and gain access to jobs in this area. Speak to our consultants today to find out more.

Policies

1. Cancellation by Client

1.1. Notification:

All cancellations must be submitted in writing via email to admissions@jcube-institute.com.

1.2. Refunds:

– Up to 30 days before the class start date: Full refund minus a processing fee of SGD 800 per class.
– 30 days or less before the class start date: No refund.

1.3. Substitutions:

The client may substitute participants up to 5 days before the class start date without any additional fees.

2. Cancellation by JCube Institute

2.1. JCube Institute reserves the right to cancel the class. In such cases, clients will be notified at least 10 days before the class start date.

2.2. Refunds: In the event of cancellation by JCube Institute, clients will receive a full refund of the class fees.

3. Force Majeure

In the event of circumstances beyond our control (e.g., natural disasters, pandemics, government restrictions), JCube Institute reserves the right to reschedule or cancel the class. Clients will be offered the option to attend on the new date or receive a full refund.

4. Rescheduling

4.1. Client-Initiated Rescheduling: Requests to transfer reschedule the class date must be made at least 14 days before the original class start date. Transfers are subject to availability and a rescheduling fee of SGD 500 per class may be levied.

4.2. JCube Institute-Initiated Rescheduling: If JCube Institute reschedules the class, clients will be offered the option to transfer to the new date or receive a full refund.

5. Attendance Requirements

5.1. Participation: Participants are expected to attend up to 75% of scheduled sessions of the training class to receive any certificates of completion associated with the course.

5.2. Punctuality: Participants should arrive on time for each session. Late arrivals may be allowed at the discretion of the instructor but may result in missing critical content.

5.3. Absenteeism:

– Notification of Absence: If a participant is unable to attend a session, the client must inform JCube Institute as soon as possible. Do note that participants are expected to attend up to 75% of scheduled sessions of the training class to receive any certificates of completion.