Big Data & AI Strategies and Their Applications

26 Sep, 2024, Wyndham Grand Bangsar Kuala Lumpur

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Jeyshalini also known as Coach Jey is a Data & AI Consultant at a Consulting Firm. Where her expertise

plays a pivotal role in strategically harnessing data and Artificial Intelligence to drive superior business

outcomes.

 

Currently pursuing her Master’s in Applied Computing at UM, Jeyshalini is set to graduate in 2024. With

a distinguished academic background, Jeyshalini holds a BSc in Artificial Intelligence from UTeM,

Malaysia.

 

Her fervour for knowledge dissemination takes centre stage, particularly within the dynamic realms of

Data and AI. Coach Jey’s commitment to sharing her wealth of knowledge is underscored by her status

as an HRDF Certified Trainer. Her training philosophy seamlessly weaves together academic rigor with

the practical insights gained from her diverse professional journey, which includes roles as a Software

Development Engineer at Curlec by Razorpay and a Digital & Innovation Executive at Hong Leong Bank

Berhad.

 

In her current role as a Data & AI Consultant, Coach Jey wears many hats, acting as a crucial bridge

between AI models and business needs. She takes a hands-on approach to curate and pre-process

data, ensuring that models learn from the right information.

 

Coach Jey is actively involved in designing and implementing robust training frameworks, shaping AI

models to address specific business problems effectively. Her responsibilities extend to monitoring

performance, diagnosing errors, and fine-tuning parameters to keep models sharp and aligned with

precise business goals. This meticulous approach not only ensures optimal AI performance but also

demonstrates her commitment to delivering tangible and impactful results.

 

Coach Jey is a strong advocate for responsible AI, emphasizing ethical development, transparency, and

a human-centred approach. By championing these principles, she strives to harness the power of AI for

real-world impact, contributing to the industry’s evolution towards ethical and sustainable

AI solutions.

 

Some of her clients include, Alliance Bank, Maybank, Al Rajhi Bank, OCBC Bank, Intel Inc, KOSSAN

Industries, Hong Leong Bank etc.

Venue Details

Wyndham Grand Bangsar Kuala Lumpur
Plaza Cygal, Tower 3, Basement 1, 59200 Kuala Lumpur,

Contact us

Juliany,
03 2283 6109
juliany@ipa.com.my

Phoebe,
03 2283 6100
phoebe@ipa.com.my 

FOR CUSTOMISED IN-HOUSE TRAINING
Jane,
03 2283 6101
Jane@ipa.com.my

ADDRESS 
A-28-5, 28th Floor, Menara UOA Bangsar, 
No.5, Jalan Bangsar Utama 1, 
59000 Kuala Lumpur
www.ipa.com.my

FOCUSING ON
  • Introduction to Big Data and AI
  • Analytics Maturity and Data Governance
  • Big Data and AI Ecosystem
  • Data Storytelling and Visualization
  • Structured Methodology for Big Data and AI Projects
  • Real-World Industry Examples
  • Develop Brainstorming AI Business Ideas
  • Q&A and Discussion
OVERVIEW

This course equips participants with a strategic understanding of Data and AI applications to drive data-driven success in organizations.

Through interactive sessions and real-world examples, participants will gain insights into developing high-impact applications and "quick win" initiatives relevant to the industry.

AFTER ATTENDING THIS COURSE YOU WILL RETURN TO YOUR JOB…
  1. Understanding the core concepts and applications of Big Data and AI within the digital economy, with a focus on specific industries relevant to you.
  2. Gaining a strategic perspective on crafting data-driven solutions for the organization.
  3. Walking away with a list of actionable Big Data and AI use cases that can be implemented promptly within your organization.
WHO SHOULD ATTEND

Executives, Managers, Senior Managers and Professionals from all divisions seeking to leverage Big Data and AI for Strategic Decision-Making within their organizations.

METHODOLOGY

Interactive Group Discussions, Interactive Lectures, Exercises, Case Studies And Sharing Of Real-World Experiences.

COURSE CONTENT
9:00

Introduction to Big Data and AI

  • Understanding the transformative role of big data and AI
  • Exploring practical examples


 

Analytics Maturity and Data Governance

  • Overview of various levels of data analysis
  • Importance of data governance for maintaining data quality and compliance (e.g. Establishing robust data governance policies ensures regulatory compliance)
10.45

Big Data and AI Ecosystem

  • Surveying technologies and tools for data collection, processing, and analysis (e.g. Collecting real-time data from factory equipment using IoT sensors)
  • Overview of machine learning algorithms and their applications(e.g. Using machine learning to optimize energy usage in manufacturing facilities)
 

Data Storytelling and Visualization

  • Techniques for effectively communicating complex data insights. (e.g. Creating interactive dashboards to track key performance indicators (KPIs) in real-time)
  • The significance of visual tools for data understanding and decision-making
1:00 Lunch
2:00

Structured Methodology for Big Data and AI Projects

  • Introduction to a systematic approach for initiating and executing data projects (e.g. Implementing a structured methodology like CRISP-DM)
  • Step-by-step guidance on project planning, data preparation, modelling, and deployment
3:00

Real-World Industry Examples

  • Analysis of real-world applications of big data and AI (e.g. Using computer vision to inspect product defects in manufacturing processes)
  • Insights into how leading players in the industry make data-driven decisions (e.g. Real-time data analytics optimizing production schedules and inventory management)
4:00

Develop Brainstorming AI Business Ideas

  • Collaborative session on generating innovative ideas for utilizing AI (e.g. AI-driven supply chain optimization)
  • Prioritizing ideas based on potential return on investment (ROI)
 

Q&A and DISCUSSION

5:00 End of Course