Tag Archives: Artifical Intelligence

Cloud, Connectivity, AI, Security: What SMBs Need From Technology

Small and medium businesses are different from their larger competitors because the chief strategist in many SMBs is often still the owner or the founder.

The challenge for SMB owners is therefore often to understand the technological trends that might apply to their business. This can be complicated, in part because the rate of change in technology is high.

Yet many of these technology areas, such as access to mobile devices and the growth of cloud services, have special relevance to SMBs. Integrating technology should therefore be a central part of any SMB strategy, rather than an option, even for very small companies. The technology is needed to meet customer demands for better experiences, to ensure that businesses and customers can transact quickly, and because being online makes it easier and faster for SMBs to open up new global markets.

Employees of SMBs have similar expectations and the same driven goals of the business owners. They believe that having the right technology improves their productivity, helps drive business growth and increases flexibility in a hybrid working world.

At the center of how SMBs can leverage technology are four trends around mobility, AI-enabled services, and cloud automation, all under a security umbrella.

Taking teams to the next level of productivity, flexibility and customer satisfaction will require businesses to find a balance between implementing emerging technology and training employees to use this technology to provide personalized experiences for customers.

How do each of these technologies support and influence SMBs?

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Connectivity

Slow and unstable connectivity is a major obstacle for a distributed workforce that relies on device technology to collaborate and to provide value to customers. Even as 5G continues to be rolled out around the world, WiFi 6E is already offering advanced connectivity in many countries. SMBs can make their investments in WiFi 6E and 5G today, to take advantage of higher-bandwidth, ultra-low-latency connectivity, and high-speed connectivity to the cloud. It’s worth noting that 5G deployments are accelerating around the world, and WiFi 7 is already on the horizon. SMBs should at least understand where these might fit into their existing and future strategies.

Device speed and functionality will continue to match this high-speed connectivity, and users will continue to seek out ever more productive designs that match lifestyle, work style, and mobility. An example of a device that is made for such high-speed connectivity is the Lenovo ThinkBook Plus Gen 4 operating on Windows 11 Pro. Simplify your workday and improve productivity with Windows 11 Pro With AI-powered experiences, intelligent workflows, and unmatched personalization, you can do it all on your Windows 11 Pro device. From features to get organized in a snap to fast performance and smart videoconferencing, Windows 11 Pro devices help you improve productivity anywhere. It has a built-in secondary screen offering alternative and distinct functions. Such an innovative device requires high-speed connectivity so that employees will be “always available” and “often on”, working flexibly to accommodate their personal lives.

Cloud automation

Cloud automation, and cloud applications, are an easy entry point for many SMBs that are looking to speed up or otherwise improve their business processes. As data, apps and workloads continue to expand into the cloud, SMBs will be able to automate simpler tasks, programs and customer services.  Efficient automation of data analytics, customer feedback and trends or smarter scheduling can free up more time for teams to focus on creative growth engines.

The cloud also allows more SMBs to consider Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) options. While often being more cost-effective, hybrid cloud solutions will be more future-proof and allow for greater scalability through flexibility. IDC has predicted that the growth of cloud services among APAC SMBs, for example, will continue through to 2025.

AI services and products

AI services are increasingly playing a role in helping businesses address common challenges such as staffing, security monitoring, financial management, and tailoring services to customer needs.

Some SMBs are now incorporating AI chatbots to provide round-the-clock resources for employees, adding convenience for those seeking answers to common questions about employee benefits, scheduling, insurance, vacation availability and sick time.

Companies that adapt smartly to incorporate AI-enabled services and products have a competitive advantage. AI and machine learning can provide real-time targeted data analysis, allowing employees to do creative and social media tasks that AI simply cannot credibly do. This, in turn, frees up time for innovation, and product and service development – investments that can be made without sacrificing current revenue and cash flow.

Securing the IT ecosystem

Across all these technologies sits security, from the devices all the way through to cloud access. Remote and hybrid work styles have already changed the nature of security risks, with many organizations, including SMBs, now allowing employees to have flexibility in where they work and use their own devices. As more services move to the cloud, access security risks also increase, and while cloud service providers can provide secure access inside their data centres, access between a business’s devices and the cloud can still attract cyber security risks. Threats are very real and lack of adequate protection can have devastating effects, but best practices and solutions exist to mitigate those threats.

SMBs must strategically implement the appropriate infrastructure, cloud automation and AI tools that will help their business scale. Businesses of all sizes demand client and data centre infrastructure that enables growth rather than restricts it. As technology rapidly evolves, businesses need the ability to integrate new technologies and workloads efficiently and seamlessly, often within resource, budget and capital boundaries.

For SMBs, this sometimes represents new challenges, but they can leverage the experience and investment made by larger companies, peers, partners and competitors, and with the right business and technology strategies in place, they will have the advantage of being more dynamic and responsive to growth opportunities.

Samsung Marries AI with Robot Vacuums in the Bespoke Jet Bot Combo

It seems like CES 2024 is going to be jam-packed with announcements. Samsung is joining the likes of LG in teasing a few of its announcements ahead of the expo happening in Las Vegas from 9th to 12th January 2024. However, with its tease of a brand new lineup of vacuums, a theme is beginning to emerge for the company’s products for the year – AI.

The Bespoke Jet Bot Combo is, as the name indicates, a combo robot vacuum and mop. Samsung is not calling the robot cleaner an AI-enabled device though. Instead, the company is calling it an AI-applied device. Samsung is building on the foundations of its Bespoke Jet Bot AI+ with the new enhancements that the new Bespoke Jet Bot Combo is bringing.

Bespoke Jet Bot Combo dl1
Source: Samsung

Most notable among the enhancements in the Bespoke Jet Bot Combo is the improved AI Object Recognition. The new AI Object Recognition comes with an expanded number of objects that can be recognised as well as more precise driving thanks to the 3D sensor. It’s also bringing improvements that allow it to recognise spaces and stains for a more optimised cleaning experience. The AI allows for better space recognition that allows it to recognise different spaces like the kitchen, the living room and the bedroom. It will also be able to automatically suggest “no-go” zones like the bathroom, veranda or entrance. So you’ll be able to tell the vacuum to avoid those areas.

The Bespoke Jet Bot Combo can even sense the floor type for enhanced cleaning with a new feature called AI Floor Detect. This feature allows the robot to differentiate between hard floors and carpeting. It also helps prevent carpets from getting damp and wet from the mop pads. This feature also allows the Jet Bot to raise and lower the mop pads when needed. It can even detach the mop pads at the base for cleaning carpeted areas or preventing cross-contamination.

The base provides a more intelligent cleaning experience. It uses a high-temperature steam for sterilization for cleaning of the mop pads. This can be done mid-cleaning when the Jet Bot detects that it is cleaning a stain. After cleaning the base uses a 3-step total cleaning system which automatically washes the pads, steam sterilizes and dries the mops with hot air.

Pricing & Availability

Samsung has not revealed any pricing details just yet. However, the Bespoke Jet Bot Combo will be at the company’s CES 2024 booth in Las Vegas.

Occupop Brings ChatGPT to the Recruitment Table with Its ChatGPT Prompt Library

Occupop, a leading recruitment software provider for Small and medium businesses, has introduced a new feature in its software of the same name. The groundbreaking new feature – ‘ChatGPT Prompt Library for Recruitment’ – aims to enhance and incorporate AI adoption in talent acquisition. This is done by simplifying integration by eliminating the need for extensive prompt creation with ready-to-use prompts which allows users to deploy AI tools, boosting efficiency and effectiveness.

Screenshot 2023 08 28 at 21 57 52 ChatGPT Prompt Library for Recruitment Occupop

This novel resource is tailor-made for talent acquisition professionals seeking to streamline their recruitment and HR activities. This is done through AI-generated prompts which access a library of HR and recruitment resources. The library boasts a curated collection of over 100 prompts, sourced from experienced recruiters and hiring managers, offering a versatile toolkit for integrating AI seamlessly.


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Source: Occupop.com

“We know the effectiveness of AI tools, including ChatGPT, hinges on the quality of prompts employed. However, crafting these prompts can be a resource-intensive task. With the ‘ChatGPT Prompt Library for Recruitment’, our intent is to encourage the talent acquisition community to embrace AI tools without the need for extensive prompt crafting. This enables the user to quickly familiarise themselves with AI tools and strengthen their future endeavours.”

Orla Doyle, Marketing Director at Occupop


This innovative platform equips hiring managers with an expert-approved resource, elevating their AI-powered recruitment strategies. The library covers diverse aspects such as hiring strategies, recruitment marketing, and candidate sourcing and assessment. The introduction of the ‘Ultimate ChatGPT Prompt Library for Recruitment’ signifies a milestone in the convergence of AI and recruitment.

Meta Empowers Businesses to Leverage AI & Insights for Business Messaging

There’s no denying that businesses that fail to engage with their customers are doomed to stagnate and eventually die. As a matter of fact, Meta reports that over 1B people are regularly engaging with businesses on Meta platforms. This number isn’t industry specific either, it covers over 55% of every industry.

Meta Business Messaging 2
Source: Meta Malaysia

Meta continues to innovate on its platforms to allow businesses to leverage them to drive business objectives. Platforms like WhatsApp, Instagram and Facebook continue to be some of the most valuable touchpoints for businesses as it brings a mix of familiarity and proximity to both sides. It also allows businesses to leverage these aspects to build a persona and personality to better relate to its target audience. Recognising these factors, Meta has continually been innovating to allow businesses to leverage its platforms and the latest in technologies that complement them.

Leveraging AI to Ensure Platform Safety and Innovate to Empower Businesses

The latest to join the suite of tools is Artificial Intelligence. That’s not to say that Meta hasn’t used AI before. In fact, Facebook integrated AI into its timeline back in 2006. However, with the surge in interest when it comes to Generative AI, it is quickly becoming more apparent that we are indeed in AI 2.0.

Meta Business Messaging 1
Source: Meta Malaysia

Using the new advances in AI technology, Meta has quickly adapted to address newer trends and incorporate these advances to drive better results with less data. This also comes in the wake of a growing number of regions and countries clamping down on data privacy and security. The incorporation of Machine Learning algorithms and newer AI 2.0 advancements have led to 82% of hate speech being removed through automated means on platforms like Instagram and Facebook.

Meta is also implementing new algorithms that are created to use less data to deliver comparable or better results for businesses. To date, these algorithms have delivered a 20% increase in conversions for businesses leveraging them. With these algorithm’s working in the background, it falls to businesses to leverage them to drive business outcomes.

Business Messaging & Continuing the Customer Journey on Meta Platforms

As AI continues to become a deeply integrated factor for business continuity, we have to know and use the tools – paid or otherwise – that will not only allow for better outcomes but also help create a better customer experience.

Meta Business Messaging 3
Source: Meta Malaysia

Meta’s Business Suite and Ads Manager are continually being updated with tools that integrate AI technology to drive better business outcomes. One such tool is Meta’s Creative+ option which appears when you post content to your page. This feature allows you to test up to 4 different creatives to determine which delivers the best results.

Using features like this, businesses are able to extend their reach while keeping costs down. It also allows businesses to leverage the familiarity of the platforms to drive customer loyalty through business messaging. This comes in addition to AI-assisted product discovery with more broadly, AI-determined audiences for better conversions. AI-assisted determination also can help leverage behavioural data to optimise touchpoints based on customer behaviour.

This data can also be used to create chatbots that allow businesses to interact with customers more effectively. These chatbots can be built to suit the unique needs of businesses while still allowing for the flexibility for humans to jump in at any time.

One of the most important things to pay attention to is the trends that are emerging and continually shifting. These trends play a significant role in determining the combination of tools that will fit business needs. More importantly, it will also help determine the best approach for success on Meta’s platforms.

Firefly A friendly futuristic humanoid robot interacting with a floating digital interface with bu1

Meta shared a study on McDonald’s Malaysia leveraged the fact that there is an increasing number of users spending more time-consuming video content on Facebook and Instagram to be the driving force behind their recruitment campaign. Using reels available on Facebook and Instagram, the company was able to communicate the experience of being an employee at a McDonald’s outlet. Of course, the reels produced naturally embellished the experience with some fictional elements to generate interest and convey the business’s policies. This cornerstone content allowed McDonald’s to communicate directly to their target audience – Gen Z.

This falls in line with Meta’s own data which shows that more than 50% of time spent on Facebook and Instagram is spent consuming video content. This includes long-form videos, reels and even stories. In fact, reels may be the best touch point with over 200 Billion plays per day.

Meta’s Just Getting Started with AI 2.0 and Businesses Need to Start Leveraging It Now

It’s only the tip of the iceberg of how AI 2.0 will be impacting our world when it comes to creating consumer journeys, continuing Business Messaging and even creating content. Meta has already announced AI efforts like LLaMA which will no doubt factor into new tools that will come to its platforms in the future.

This will also entail businesses needing to deal with scams head-on hand in hand with regulators and companies like Meta. Meta is already working on identity verifications which will be more widely available to users as the year progresses. However, the company has yet to announce the same verification measures for businesses but we have it on good authority that it will be coming soon.

Bringing Intelligence to Medical Devices and Machines

Artificial intelligence (AI) is the science and engineering of creating machines or computer programs that can sense, reason, act, and adapt to come up with solutions for problems. As this definition shows, AI in itself is not a solution but rather a set of methods from which solutions can be developed.

Amongst the benefits of AI is its ability to imitate human cognitive behavior by analyzing data and its surroundings, solving or anticipating problems and self-learning to adapt to a variety of tasks.

Globally, healthcare systems are facing various challenges. This includes an ever-increasing aging population[1], escalating healthcare costs, operational inefficiencies, staff shortage, value-based reimbursements, higher percentage of deaths accounting to chronic illness, as well as an annual wastage of up to $750 billion on healthcare as seen in the United States alone. Against the background of these challenges, healthcare is also undergoing rapid digitalization.

For example, over the past decade, there has been an increase in growth of computational power, while the cost of data storage has dropped dramatically. As a result, the amount and quality of stored digital medical data has increased tremendously. However, there is a growing concern in healthcare that only a fraction of this data is being used to improve the quality and efficiency of care. The growth rate and diversity of medical data has far outpaced our ability to analyze it.

Recognizing this, Philips has developed intelligent solutions using these data and information on hand to help healthcare providers achieve improved health outcomes at a lower cost, while providing better staff and patient experience.

Philips Redesigning Medical Technology for Better

Philips offers a broad spectrum of solutions that spans the health continuum, from healthy living and prevention to diagnosis, treatment and home care; especially supported by its deep understanding in clinical needs, workflows, and regulations, as well as departmental and hospital workflows.

Spending approximately EUR 1.8 billion annually on R&D, innovation[2] is core to Philips’ growth strategy in health technology. In recent years, Philips has significantly improved its research in software and data science and today, almost one in every two of Philips’ R&D professionals focuses on the field of health technology.

On top of working closely with clinical partners across the globe – healthcare providers, academia, and hospital networks, Philips is among the top 5 healthcare IT companies with approximately EUR 3 billion in healthcare IT-related sales and has successfully developed the Philips HealthSuite Platforms, a digital framework that connects consumers, patients and healthcare providers in a cloud-based health ecosystem of devices, apps and tools.

Philips IntelliSpace Discovery offers an integrated AI solution that enables the entire process of generating new AI applications, providing data integration, training and deployment in the research setting.

Recognizing that public trust is paramount and understanding that health data is among the most sensitive types of personal data, Philips takes the growing risk of cybersecurity threats to its products very seriously. Security plans encompass people, processes and technology, with the goal of ensuring the confidentiality, integrity and availability of critical data and the systems that house that data.

How AI Can Help

Over the next decade, smart systems will be able to aggregate information from multiple sources that currently remain trapped in silos. For example, each individual patient’s data will be pulled together from the systems that are used in his/her GP surgery, hospital or specialist center, such as different Electronic Medical Records, diagnostic and monitoring solutions.

Today, slowly but surely, ASEAN countries are adopting AI and its elements to ensure systematic and efficient workflow within the healthcare industries.

Here is a quick look on how Philips is applying AI to address the challenges within healthcare industry:

  • Clinical informatics & decision supportPhilips IntelliSpace Portal offers an advanced visual analysis and quantification platform that uses machine learning to learn about the clinician’s workflow. It then automatically configures the system to apply the appropriate processing to specific types of studies to speed up their analysis.
  • Acute care – Philips IntelliVue Guardian System with Early Warning Scoring (EWS) aids in identifying subtle signs of deterioration in a general floor patient’s condition at the point of care. IntelliVue Guardian automated EWS helps to reduce ICU transfers and readmissions, and adverse events.
  • Home care – Philips CareSage, a predictive analytics technology that helps prevent avoidable hospital admissions and emergency room visits among the frail and elderly and DreamMapper, a mobile app that allows people with sleep apnea to track their therapy progress so they can take an active role in their therapy. It is designed to quickly correlate data on therapy usage, mask fit and apnea hypopnea index (AHI) readings to help improve treatment success.

[1] www.nia.nih.gov/research/publication/global-health-and-aging/preface. Published October 2011. Updated January 22, 2015. Accessed August 1, 2015.

[2]https://www.philips.com/a-w/about/news/archive/standard/news/press/2018/20181108-philips-provides-update-on-performance-and-value-creation-journey-at-capital-markets-day-in-amsterdam.html

Combining AI and Humans in the New Decade

*This article is a contributed article by Ravi Saraogi, Co-Founder and President of Uniphore, APAC *

2020 marks the transition into the great unknown. With the emergence of new possibilities and challenges ahead of us, successful organisations must be quick to identify and take advantage of opportunities through the power of emerging technologies. Specific to the customer service industry, brands that utilise Conversational Artificial Intelligence (AI) technologies will improve business operations and customer experiences.

It is estimated that about 70% of organizations will integrate AI to assist employee productivity by 2021[1] to meet the high demand of delivering faster, relevant and holistic services to today’s customers. More often than not, customers today are frustrated that broken customer service systems and poorly equipped agents don’t understand their requests. To fix this, businesses must move away from a siloed experience and approach service holistically.

Photo by mahdis mousavi on Unsplash

In terms of the adoption of the adoption of AI in Malaysian businesses, it was revealed that only 26% of companies in Malaysia have actually begun integrating AI into their operations, according to a survey that was conducted in 2018. The low adoption rate is attributed to two key barriers that are related to organizational culture on AI and limited employee skill sets2. Thus, the time is now to blend the capabilities of people and AI and better understand conversations in real-time for businesses to stay ahead of the race.

New Power to Customer Voice

With technological capabilities, it’s about time we start hearing what customers really want. Customers today are time poor, distracted and empowered by lots of products and services to choose from. Instant gratification is their modus operandi. With other factors like price point and product quality being at par, superior customer service remains challenging and is often a deal breaker. In a competitive landscape, customers demand a seamless experience when interacting with a brand.

That said, poor customer experiences are not difficult to resolve at all, more so today due to machine learning, AI and automation. This is because AI is now helping brands to truly listen to the voice of the customer and understand their needs in order to quickly resolve customer queries, deepen customer engagement, and deliver superior customer experience at scale.  

Making Headway with Conversational Service Automation

Minister of Communications and Multimedia, Gobind Singh Deo emphasises Malaysia’s potential in the development of AI in both public and private sectors, and the importance of ensuring the local government and industries capitalise on the opportunities at hand.[2]

The use of AI is becoming more prevalent in the customer service industry as conversations become more complex. There is a small window of opportunity for brands to deliver personalised customer service, particularly when your engagement happens across diverse channels. Being equipped with an understanding of context, sentiment, behaviour and real intent, and being able to act on such insights in real-time becomes even more crucial.

Photo by Joseph Pearson on Unsplash

Conversational Service Automation is about enabling front office automation in contact centres. Consider this scenario: A customer starts a conversation with a chatbot for quick self-service. The bot is able to provide some quick and valuable updates based on the customer’s previous interactions. If the conversation gets more complex, the voice bot politely hands the call to a human agent via a live transfer. The agent is assisted through real-time analytics and chat transcripts to be able to make the next best offer which the customer gladly accepts.

This automation backed by real-time analytics is continuously self-learning, enabling real-time listening of conversations across channels and then converting them into actionable insights. As a result, a win-win situation is created where businesses can reduce work pressure on call center agents, improve accuracy of information and greater customer satisfaction.

Getting Ahead of the Race with Voice and AI

We are in the midst of a customer experience transformation and conversational AI technology is leading this change. There is a positive acceptance from both businesses and customers to adopt newer conversational AI technologies. This is driven by the try-before-you-buy and pay-as-you-go models offered, which enterprises find appealing and less risky. Brands can take smaller bets, test-and-learn and then scale up.

Automation has successfully allowed computers to respond to contexts within queries, monitor customer behaviour and improve overall customer service. Moreover, contact centre agents can now receive real-time alerts and recommendations for upsell and cross-sell. The time is now for companies to leverage conversational AI to deliver a quantum leap in customer service, in an industry that is full of potential. It is good to note that brands that embrace conversational service automation will be the ones who stay ahead of the competition and thrive in the new decade.


[1] https://www.gartner.com/en/newsroom/press-releases/2019-01-24-gartner-predicts-70-percent-of-organizations-will-int
2 https://www.stuff.tv/my/news/malaysian-companies-needs-build-ai-culture-it-too-late-microsoft

[2] https://www.malaymail.com/news/malaysia/2019/09/12/gobind-malaysia-well-positioned-in-se-asia-for-ai-research-and-development/1789773

Be A Maestro with AWS DeepComposer

You would think that when it comes to making compositions and music, you’d need a really good ear and knowledge of the arts. Not so much with Amazon Web Service’s new AI (Artificial Intelligence) service focused on creating musical pieces with a keyboard! DeepComposer is the latest in a series of Machine Learning focused services that AWS has introduced since it’s announcement of DeepLens at Re:Invent 2017.

The new music based AI is a 32 key, 2 octave keyboard which will allow developers to familiarise themselves with using Generative AI. The simple application of Generative AI in DeepComposer will take short riffs and generate a full compositions.

A brief diagram explaining how AWS’s DeepComposer works. (Source: AWS)

The DeepComposer generative AI will be able to layer and generate songs based on pre-trained models or even user defined models. The pre-trained models are able to generate based on algorithms developed by training the AI with large musical data sets. The user defined models give users better control of the generative AI. Users will be able to define multiple parameters including the Architecture and Discriminator. The latter allows the AI to distinguish between the genres and determine the overall composition.

Announcing AWS DeepComposer with Dr. Matt Wood, feat. Jonathan Coulton

Being a machine learning model, DeepComposer is continually learning to identify music types. The AI will improve with time as it learns and generates more music based on the models and riffs. It will also be able to generate music which mimics a defined model. Amazon’s release touts, ” you have to train as a counterfeiting expert in order to become a great counterfeiter “.

DeepComposer isn’t just linked to the physical keyboard. It also has a digital keyboard interface which allows users to compose on the go. Using this approach, AWS is hoping that Generative AI models are made more approachable for those looking to explore their applications.

The new feature is currently available for preview on AWS at the DeepComposer website. Also on the website is a FAQ to address some of the questions that new users may have.

Going Digital Isn’t Just About Technology; It’s About Changing Mindsets

The world is abuzz with a massive change in the way things are working when it comes to companies. This change is spurred by the introduction of many technologies which have revolutionised and fundamentally changed how things are done. Perhaps the biggest observable change so far is that start ups have become the new normal. The simple reason behind this is that there has been a fundamental change in paradigm when it comes to product development and the duration is takes for an industry-wide disruption to occur. What once took decades is now happening at a near daily pace. The reality of the nature of disruption today is that you don’t have to be a large corporation to disrupt nor do you have to be a digital native. You simply have to be able to impact the way things are done and fundamentally change a preset mindset.

Being Digital Simply Means Adopting A New Mindset

Looking back at disruptors such as Grab or Uber, this statement couldn’t be more true. Even in our sit down with Mr Santanu Dutt, Chieft Technology Officer and Head of Technology (ASEAN) at Amazon Web Services, this point was stressed upon. The world has changed from an industry-first paradigm to one where customers are placed front and center. Development starts with the identification of a gap in services or a new way of offering the service which would cater to better customer experience. From there, companies need to address the constantly changing demands of the customer with quick iterations. The harsh reality is, when it comes to competing in Industry 4.0, companies are now vying for a very limited commodity: customer attention. The days in which customers have a sense of loyalty are quickly fading. Instead, they look to new experiences and features which make their life easier.

Santanu Dutt, Chief Technology Officer and Head of Technology (ASEAN) at Amazon Web Services (AWS)

So the big question is: How can companies have a competitive edge in this marketplace? As Mr Santanu put it, “Being digital is also largely a cultural change. Yes, it is about technology but [also] a cultural change of a company to have their product and services digitally [and] expand their reach.”. He stresses that the fundamental cultural change is for companies and their employees to understand the needs of their customer, listen to their feedback and to iterate quickly to address them. In fact, in recent years, we’ve seen companies die because of this. One of the best examples of this on a international scale is Blockbuster and other video rental services. With the advent of fast, broadband internet, their customers started expecting videos and movies to be immediately available for on demand viewing. The only company to capitalise on this fundamental change was Netflix. Netflix changed from an overnight DVD and Blu-ray courier and rental service into a platform which allowed users to stream video on demand. This was, of course, followed closely by Amazon Prime Video and other companies. Another example is that of Grab which started off as an app to making hailing a taxi easier and safer. It is today, Southeast Asia’s largest ride-hailing application and e-Wallet.

Learning and Unlearning to Compete in Industry 4.0

There is a misconception that comes with companies going digital and that’s the assumption that going digital simply means that companies need to adopt new technologies to streamline processes. Truth be told, going digital entails more than just adopting new technologies; it involves the learning of new approaches and technologies and the unlearning of old approaches which are holding the company back. However, in adopting new technologies such as Amazon Web Services (AWS) cloud based services, companies cannot simply be looking at a “lift and shift” approach where they simply take their pre-existing architecture and shift it to platforms such as AWS. Instead, SMEs need to look at learning new the technology and implementing them in such a way that they are maximising their potential. In essence, unlearning the old and optimising essential processes and architecture using new technologies such as Machine Learning (ML) and Data Lakes.

Image by TeroVesalainen from Pixabay

To be agile and effective, SMEs must look to the most effective approach to their needs. Certain industries may not permit the complete migration of on premises infrastructure to one that is purely cloud based. In cases such as these, Mr Santanu says that there is no harm in keeping core services on premise with permitted peripheral services being moved to the cloud. This approach allows SMEs to benefit from an agile workflow whilst keeping inline with regulations. When it comes to regulated industries, certification is essential. This is why SMEs looking to take advantage of Industry 4.0 should look to partners who share the burden of getting industry certifications. Companies such as AWS share this burden with their clients and ensure that any certification necessary for relevant industries is met on a regular basis.

With these worries aside, SMEs can focus on learning new approaches such as implementing DevOps in a leaner, more efficient manner. This will, over time, lead to better processes which allow for greater profits while minimizing cost. With partners such as AWS, SMEs can focus on servicing their clients while leaving infrastructure maintenance to their partner.

Planning For Scale from the Beginning

To keep up with the demands of the rapidly changing landscape in Industry 4.0, companies need to have the foresight to plan for scale from the get-go. While AWS acknowledges that know-how and skill set may continue to be a gap in the near future, the company is working with Universities to train the future. In Malaysia alone, AWS is training over 100,000 students who will soon enter the work force ready with the skills and knowledge required to take advantage of Cloud Computing.

Image by Gerd Altmann from Pixabay

That said, companies have to look to scale dynamically. As businesses continue to grow rapidly thanks to the internet, they need to be ready, from the beginning, to cope with scale. At a moment’s notice, they may be required to adapt from thousands to hundreds of thousands of transactions. This can only be achieved when infrastructure is able to scale as such. With Cloud computing platforms such as AWS, SMEs need not worry about new infrastructure acquisition. Instead, they are able to accommodate with simple automation the increased scale.

Malaysia is already moving towards industry 4.0 with the push from the government as well as industry. More importantly, SMEs need to learn to iterate – at scale – to accommodate the needs and demands of their customers. That said, it is still early days in Malaysia. The change in mindset needed for the country and its industries to fully appreciate and benefit the potential of Industry 4.0 is still in its growing stages. Mr Santanu stresses that with the passage of time and the willingness of Malaysian SMEs in adopting new technologies and approaches, there is no doubt that the country will be able to reap the many benefits of Industry 4.0.