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Fujitsu Innovationdesk - Innovationdesk : Fujitsu Singapore


Quantum Computing
3 January, 2019

Like AI and Blockchain, Quantum Computing has also recently become a buzzword within the technology landscape. In this article, I’d like to discuss about what Quantum Computing is all about.

Offering Smart Services in your organization without breaking the bank
10 August, 2018

We are well aware of artificial intelligence and block chain as technologies for disruption and digital transformation. These may require significant costs and may involve a fairly large exercise for real deployment. Furthermore, many such deployments may require change management - process and people-related obstacles that require effort and time to overcome.

The Now and Future of the Blockchain Promise
12 June,2018

In this article, we’ll look at some of the applications and services that take advantage of the capabilities of blockchain.

Blockchain: Capabilities that will disrupt the familiar
9 May,2018

Beyond IoT and AI, the next most spoke about is probably blockchain. Many would have heard about Bitcoin, the crypto currency that is powered by blockchain technology. One would also not be surprised to hear about the many transformations that blockchain technology can bring.

Artificial Intelligence: How to get started with an AI project
12 March,2018

We have talked about the challenges of an AI project, taken a look at the various AI technologies available and discussed the best practices of how you can start preparing for AI, so how do you get started on an AI project? Which domain area should you pick for your first AI project? And how do you justify for it?

Artificial Intelligence: Best Practice
12 February, 2018

In my last article, I talked about readiness of AI technology and you are probably excited to start exploring AI somewhere in your enterprise. But before thinking of a project for AI, I would recommend that some serious thinking is done in the following areas: data collection initiatives and policies, legal practices on Intellectual Property (IP) rights, organization changes when AI is introduced, and ethical challenges in using AI.

Artificial Intelligence: Technologies
9 January, 2017

In my last article, I talked about the challenges in adopting Artificial Intelligence (AI) in our IT systems. Let’s now take a look at some of the AI technologies that could really make a difference.

Artificial Intelligence: Challenges in adopting A.I.
28 November, 2017


Artificial Intelligence (AI), also Machine Intelligence (MI), is intelligence displayed by machines, in contrast with the natural intelligence or cognitive abilities displayed by humans and other animals. The term AI is typically used to describe the intelligent behavior by machines when they seemingly mimic the human ability of sensing, conceptualizing and decision making. AI is currently the buzz word of the IT industry, and is seen as driving many of the digital transformation we see in the market.

Smart Manufacturing: Using IoT Data in End-to-End Manufacturing
25 September 2017

We have discussed the various functions we can do with the 4Ms (Man, Machine, Material and Method) of IoT data within the operation of the manufacturing plant. Let’s now explore how IoT data can help in both the pre- and post- manufacturing stages.

IoT in Manufacturing: Making your Factory Smart(er)
4 August 2017

IoT in Manufacturing: Making your Factory Smart(er)

We have talked about the 4M’s of manufacturing and the types of data that can be collected in a manufacturing environment. Let’s now look at how we can make use of the data, in increasing order of complexity.

Internet of Machines: 4Ms of Manufacturing
8 June, 2017

4Ms of Manufacturing
In the last article, we talked about how machines can be connected and how sensor data can be collected for processing. In this article, we look at what data to collect and how to use them.
Internet of Machines: Smart Factory
24 April, 2017

Internet of Machines: Smart Factory
Machines have been with us for a long time, helping us to build things with greater speed and better quality. From Wikipedia, a machine is a tool containing one or more parts that uses energy to perform an intended action. Machines are usually powered by chemical, thermal, or electrical means, and are often motorized. Mechanization is providing human operators with machines that assist them with the muscular requirements of work or displaces muscular work.
IoT Systems becoming Smart : Artificial Intelligence
09 March, 2017

IoT Systems becoming Smart
Artificial Intelligence (AI) has become the latest buzz word in the IT industry. Everything from dish washer, fridge, TV, cars, trolleys, etc., are going to be intelligent like human beings. Even in highly complex games like Go, it has been proven that computers can beat the best human experts. So IoT systems should be equipped with AI and bring even greater value. What do you think?
Adding new capabilities to IoT: Augment
02 February, 2017
In the last article, we talked about activating changes to an IoT system. Now with the ability to control and enhance IoT, what more can we do? In cases where people are involved, user experience, operation, learning, efficiency, and safety are areas we can employ tools to help them. In cases where machines are involved, process design, resource utilization, integration with other sub-systems, effectiveness and safety are areas we can use tools to augment the machines. There are simply too many possibilities. Let's look at some of these techniques below. Fundamentally we want to exploit the use of data and suitable algorithms in tools (eg. visual images overlay) to augment the system..
Making changes to IoT: Activate
21 December, 2016

Making changes to IoT
In the last two articles, I have talked about how information can be gathered and modeled in IoT applications. They can provide much insight to how our Things are working out there, but if we were not able to make any changes, we would not benefit from the additional information we have gathered from the sensors. It is hence important to consider how changes could be "activated" into our Things.
Making sense of your sensors: Aggregate
10 November, 2016

In the last blog, I talked about the Asset stage/level in our IoT Maturity Model. In this article, I like to continue the discussion on how we make better use of the data collected from the assets.
Your First IoT Application: Asset
10 October, 2016

In the next few articles, I like to focus our attention on the 5 ‘A’s of IoT introduced in my earlier blog article. Let's begin with the Asset stage, which is what most organizations building IoT application is going to start with. We are going to focus on the major issues in this stage so that you have a good idea of how to get started. Hopefully I can demystify what IoT is all about and how you can deploy IoT.
Is IOT Really All About IoT?
30 August, 2016

We talked about security risk in IoT in my last article. Another often related issue is return on investment (ROI). Many enterprises are excited by the promise of IoT but are hesitant about its ROI. Why? I postulate that many IoT projects are evaluated in the same way as any generic IT projects. This means that we look at cost of ownership and the return of the new investment quantified in dollars and cents.
Security Risks of IoT, or maybe not?
29 July, 2016

IoT seems to be gaining a lot of mindshare and yet we are not seeing many deployments. So, what seems to be the problem? We have been through many technology hype cycles and troughs of disillusion. Is IoT just going through the gradual stages of adoption, or is it stuck somewhere?
IoT Patterns: The 5 ‘A’s of IoT
15 June, 2016

IoT is an approach to apply information technology solutions to areas traditionally outside of information processing. We attach sensors or wearables to things, living or not, to collect the data, analyze them and with the insight, take some actions to improve or innovate our operation of the things around us. This approach can be used in any industry and it is easy to see common patterns emerging from IoT applications in the various industries. I like to propose a maturity model approach towards designing and communicating about IoT applications. This gives us an approach to rationalize the scope and functions of an IoT application as well as to provide a possible roadmap for future expansion. Each stage brings added value or innovation.

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