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Big Data & AI Strategies and Their Applications

26 Sep, 2024, Wyndham Grand Bangsar Kuala Lumpur

IPA Training is Registered with

Venue Details

Wyndham Grand Bangsar Kuala Lumpur
No 1, Jalan Pantai Jaya, Tower 3, 59200 Kuala Lumpur, - 59200

https://all.accor.com/hotel/ 7962/index.en.shtml


Phone : (603) 2298 1888
Fax : (603) 2298 1999

Contact us

FOR COURSE DETAILS

Juliany,

Office: 03 2283 6109

Mobile: +60 122281247

juliany@ipa.com.my

Phoebe,

Office: 03 2283 6100

Mobile: +60 193637822

phoebe@ipa.com.my

Bee Teng,

Office: 03 2282 6112

Mobile: +60 172566121

beeteng@ipa.com.my

FOR CUSTOMISED IN-HOUSE TRAINING

Jane,

Office: 03 2283 6101

Mobile: +60 129418251

jane@ipa.com.my

Keith,

Office: 03 2283 0000

Mobile: +60 162272735

keith@ipa.com.my

ADDRESS

A-28-5, 28th Floor, Menara UOA Bangsar,
No.5, Jalan Bangsar Utama 1,
59000 Kuala Lumpur

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