Malaysia AI Blueprint 2019
About The Book
For the first time in all of BIGIT’s conferences, we will present the Malaysia AI Adoption Blueprint 2019.
The Blueprint is an evaluation of the current AI Maturity in Malaysia across key industries, in terms of people, process, technology and data. The study was conducted with relevant senior executives and combined with analysis and insights from Disruptive Tech Institute and BIGIT’s Strategy Team.
The objective of the Malaysia AI Adoption Blueprint 2019 is to catalyze and continue spurring the adoption of AI in the country to improve the nation’s competitive position.
Major findings of the Blueprint was revealed in the keynote of BIGIT 2019.
Fast forward to 2019 and together with BIGIT, we surveyed over a hundred companies in the private sector on their BDA and AI journey and maturity. The findings? Without revealing too many spoilers, all we can say is that Malaysia has made quite a leap in its BDA/AI progress since being brandished with that unflattering “Starter” label 5 years ago.
BIG DATA ANALYTICS: RECAP
big data analytics maturity
ROADBLOCKS TO BIG DATA ANALYTICS AND AI MATURITY
OVERCOMING THE BIG DATA ANALYTICS AND AI SUCCESS HURDLES
APPENDIX: BREAKING DOWN THE SURVEY RESULTS
1.0 Executive Summary
Malaysia’s private sector is Systematic in its big data analytics maturity.
The private sector in Malaysia is at Level 3 (Systematic) in their adoption of big data analytics (BDA). They are determined in applying artificial intelligence in a variety of industry-specific projects with the goal of forecasting the future. Business units in the organization are making sure their BDA initiatives secure recurring budget. Malaysian organizations are also actively upskilling internal staff or recruiting to acquire data science and data engineering competencies. Malaysian verticals that are the most mature in adopting big data analytics are telecommunications, media & entertainment and aviation.
Malaysian organizations are actively forecasting the future
Malaysia’s AI maturity is at Level 2 (out of 3 levels), giving the country an “AI Knight” ranking. Overall, organizations are applying machine learning – primarily statistical learning – in a variety of business cases to predict future outcomes. These organizations are also appearing to develop AI-driven products and solutions based on successful proofs-of-concept (POC). Again, the most AI-mature industries are telecommunications, media & entertainment and aviation.
Talent, business strategy and budget are the biggest obstacles to high BDA maturity
The top barriers to successful big data analytics adoption are scarcity of first-rate data science professionals, lack of a coherent business strategy and insufficient budget to drive advanced analytics initiatives.
● Scarcity of expertise and knowledge in advanced analytics
● Lack of experienced data science professionals with specialty in text, image, audio and video processing
● Lack of strategy, leadership, business understanding and direction at senior management level
● Still driven by hype and hampered by internal politics
● Not asking the correct business questions and do not see the ROI of BDA
● Lack of budget and funding for use cases
● Cost of doing BDA projects perceived to be high
The blueprint results indicate some industries being behind on their BDA/AI adoption. It’s a hard pill to swallow. But we hope the findings are a wake-up call for these industries to buck up. For those in top positions, congratulations. Don’t rest on your laurels, though. Keep striving for the highest BDA/AI maturity – for your organization, for your industry, and for a better Malaysia!
LOOKING FOR MALAYSIA 2020 BLUEPRINT?
Get the first hand on the Malaysia AI Blueprint 2020 copies ONLY at our flagship event, BIGIT 2020, the 8th Annual Data Science Show! Don’t miss it!