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By Ms. Tina Leon, Managing Director of Infra Mobile Digital Sdn Bhd 04/08/2026

AI Digital Transformation is becoming a critical priority for organisations preparing for a more data-driven future. 

On 4th August 2026, Infra Mobile Digital Sdn Bhd (IMD) continues its collaboration with Tunku Abdul Rahman University of Management and Technology (TAR UMT) for SERO-AI® Workshop Cohort 2, continuing an industry-academia initiative focused on practical artificial intelligence, data intelligence and digital transformation. 

Following the first SERO-AI^® workshop held at TAR UMT on 11 June 2026, Cohort 2 represents another step towards helping Malaysia’s next generation understand an increasingly important reality: 

Successful AI digital transformation starts with understanding data, processes and real business problems—not simply adopting more AI tools. 

As Malaysia accelerates towards its ambition of becoming an AI Nation by 2030, developing people who can understand and apply AI responsibly will become just as important as investing in the technology itself. 

IMD and TAR UMT Advance Practical AI Learning 

Businesses already generate enormous amounts of information across WhatsApp, CRM platforms, accounting systems, The first SERO-AI® Workshop brought IMD’s practical industry experience into the university environment and introduced participants to how artificial intelligence can support real operational challenges. 

Participants were exposed to capabilities including AI-powered assistants, workflow automation, WhatsApp automation, Business Intelligence dashboards, analytics and data consolidation. 

SERO-AI® Workshop Cohort 2 on 4 August 2026 continues that learning journey. 

Rather than treating AI purely as a chatbot or content-generation tool, the SERO-AI® approach encourages participants to look deeper into what businesses need before AI can deliver meaningful results. 

That means asking better questions. 

Where is the data? 

Is it reliable? 

Are different systems connected? 

Which repetitive processes could be automated? 

What information does management need to make better decisions? 

And most importantly: 

What business problem are we trying to solve? 

These questions are increasingly important for organisations undergoing AI digital transformation in Malaysia. 

The Real AI Challenge Is Often a Data Challenge 

Businesses today already generate enormous amounts of information. 

Customer enquiries arrive through WhatsApp. 

Sales activities are recorded in CRM platforms. 

Finance information sits inside accounting software. 

Operations teams work through spreadsheets. 

Reports are circulated through email. 

Documents are saved as PDFs. 

Customer information may even be recorded differently by multiple departments. 

The problem is not necessarily a lack of data. 

The problem is that the information is frequently fragmented, inconsistent and disconnected. 

This creates a major roadblock for AI. 

An AI system cannot provide meaningful business intelligence if the information it depends on is incomplete or scattered across unrelated platforms. 

That is why IMD promotes a data-first approach to AI digital transformation. 

Before asking what, AI can automate, organisations should understand how their information flows through the business. 

From Fragmented Data to One Intelligent Hub 

At the centre of the workshop is SERO-AI®, IMD’s intelligent data and AI platform. 

SERO-AI® is designed to help organisations consolidate multiple systems and data sources into a more connected environment where information can support analytics, automation and AI-driven decision-making. 

Think of a typical organisation. 

Sales understands one part of the customer. 

Finance understands another. 

Customer service sees another. 

Management receives reports summarising all of them. 

When these departments operate separately, employees spend valuable time searching, copying, checking and manually combining information. 

Now imagine those data points being connected. 

Instead of several isolated views of the business, organisations can begin building a single source of truth. 

The progression becomes: 

Fragmented Data → Connected Data → Data Intelligence → Automation → AI-Enabled Decisions 

This foundation is essential because connecting data can sometimes create more immediate business value than simply purchasing another AI application. 

AI Digital Transformation Begins with a Clear Business Goal 

One lesson business can take from the SERO-AI® Workshop is that AI implementation should not begin with technology. 

It should begin with a problem. 

For example: 

• Why are customer enquiries taking too long to answer? 

• Why does management wait days for reports? 

• Why are employees entering the same information repeatedly? 

• Why are customer records duplicated? 

• Why are teams still manually consolidating spreadsheets? 

• Why is important information difficult to retrieve? 

• Why are follow-ups being missed? 

• Why do different departments report different figures? 

Once an organisation identifies the actual operational problem, it can determine whether the appropriate solution involves AI, automation, better data integration, process redesign or a combination of these approaches. 

This distinction matters. 

AI digital transformation is not about digitising an inefficient process and keeping everything else the same. 

Transformation happens when organisations redesign how information and work move through the business. 

Moving From AI Tools to AI-Enabled Workflows 

Generative AI has made artificial intelligence highly accessible. 

Almost anyone can now use an AI assistant to draft an email, create a presentation, summarise information or brainstorm ideas. 

But enterprise AI has to go further. 

Imagine a customer sending an enquiry to a company. 

A connected workflow could potentially move through: 

Customer Enquiry → Data Capture → AI Analysis → Automated Action → Dashboard Update → Human Decision 

Instead of employees manually copying information between multiple applications, data can move through a structured workflow. 

AI then becomes part of the operation rather than another isolated application employees need to manage. 

This is an important difference between using AI tools and becoming an AI-enabled organisation. 

Building Malaysia’s AI-Ready Workforce 

SERO-AI® Workshop Cohort 2 also arrives at an important moment for Malaysia. 

On 29 June 2026, Malaysia officially unveiled the Malaysia Digital Action Plan 2030 (MD2030). The national implementation plan for 2026–2030 supports the country’s ambition of moving Towards an AI Nation 2030. 

Malaysia is aiming not only to consume technology but also to strengthen its ability to produce local digital innovation. 

Among the national targets announced under MD2030 are a 30% digital-economy contribution to GDP and 500,000 high-value jobs in the digital economy by 2030. 

For universities and students, this direction carries a clear message. 

Future professionals will increasingly enter organisations where AI is embedded across: 

• Sales and marketing 

• Customer service 

• Finance 

• Operations 

• Business intelligence 

• Engineering 

• Human resources 

• Management 

• Research and development 

Knowing how to use an AI chatbot will be useful. 

But understanding data, business processes, automation, AI governance and problem-solving will be far more valuable. 

Industry-Academia Collaboration Makes AI More Practical 

Universities play an essential role in developing technical knowledge. 

Industry brings another dimension: exposure to real operational problems. 

Collaboration between the two helps close the gap between knowing how technology works and understanding how to apply it. 

The continuing collaboration between IMD and TAR UMT gives students greater exposure to practical applications of AI while allowing industry experience to contribute to future-ready learning. 

The objective is not merely to demonstrate technology. 

It is to encourage participants to think like problem-solvers. 

Instead of asking: 

“What can ChatGPT do?” 

The more valuable question becomes: 

“How could AI improve this process?” 

And then: 

“What data would the AI need to do that reliably?” 

That shift in thinking is fundamental to successful AI transformation. 

Responsible AI Must Grow Together With AI Adoption 

As organisations become more comfortable using AI, responsibility and governance must remain part of the discussion. 

Malaysia’s National AI Office highlights principles including privacy, security, transparency, accountability and fairness in the development and deployment of AI. 

These issues become even more important when AI interacts with real organisational information. 

Businesses need to understand: 

• who can access information; 

• how sensitive data is protected; 

• where information is stored; 

• what AI systems are permitted to process; 

• how AI-generated outputs are reviewed; and 

• who remains responsible for important decisions. 

Responsible AI does not slow transformation. 

It creates the foundation for organisations to scale AI with greater confidence. 

Cohort 2: Another Step Towards Practical AI Transformation 

SERO-AI® Workshop Cohort 2 at TAR UMT on 4 August 2026 represents more than another technology workshop. 

It reflects a broader shift in how AI should be understood. 

AI is moving from experimentation into operations. 

From isolated tools into connected workflows. 

From generating content into generating intelligence. 

And from simply having data into actually understanding how to use it. 
 
For IMD, the path to AI Transformation follows a clear progression: 

Connect Data. 
Improve Processes. 
Build Intelligence. 
Automate Repetitive Work. 
Apply AI Where It Creates Real Value. 

As Malaysia advances towards AI Nation 2030, developing this combination of data literacy, AI capability and practical problem-solving will become increasingly important. 

The organisations—and people—that benefit most from artificial intelligence may not be those using the largest number of AI tools. 

They will be the ones who know how to turn data into intelligence, intelligence into action, and action into measurable outcomes. 

Building the Next Generation of AI-Ready Talent 

The journey from digitalisation to true AI transformation requires more than software. 

It requires connected data, better processes and people who understand how to use technology intelligently. 

Through initiatives such as SERO-AI^® Workshop Cohort 2, Infra Mobile Digital and TAR UMT continue bringing industry and academia closer together while helping prepare Malaysia’s future talent for an increasingly AI-enabled economy. 

Ready to discover how connected data can prepare your organisation for AI? 

Explore SERO-AI^® by Infra Mobile Digital and discover a practical path from fragmented information to intelligent, AI-enabled operations.