Fusionex launches GIANT 2017, comes with NLP capability

The analytics solution, known as Fusionex GIANT, allows companies to have a holistic view of its business operations, understand trends, buyers behavior, and even predict outcomes.

April 10, 2018 —

FUSIONEX International Plc, a big data analytics solutions provider, believes that its new big data analytics solution can help the company to win more clients and gain market share.

The analytics solution, known as Fusionex GIANT, allows companies to have a holistic view of its business operations, understand trends, buyers behavior, and even predict outcomes. Unlike larger big data companies from the US or Europe, the company’s big data solutions are more user-friendly and easier to deploy.

“Our solutions may not be as powerful as some of our rivals’, but it has the features and characteristics that meets the needs of the chief executive officer, the chief information officer, and chief financial officer,” Fusionex founder Ivan Teh told Digital News Asia recently.

“Today, CEOs want a fast-to-deploy big data solutions, they can’t wait 18 months or more for the implementation. CIOs and CFOs want a solutions that are easy to manage, easy to use, and does not cost a lot to maintain.”

According to Teh, the new GIANT, dubbed the Fusionex GIANT 2017, is far more superior than the predecessor. He said that it is now able to make sense of trillions of data sets — making it a suitable tool for banks, stockbroking firms, hotel chains, manufacturers and others.

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Like the previous version, the GIANT allows users to get key insights by just ‘drag-and-drop’. For example, dragging the company’s sales data and customers data could allow the company to find out which particular products are more popular among the young working adults.

“More importantly, the new GIANT allows user to get insights in the easiest way possible — by talking to it. The new GIANT comes with a natural language processing (NLP) capability that will perform various tasks. For example, you simply only need to tell it to show you sales number, or sales number based on region, and those data will be produced immediately,” said Teh.

“Gone are the days when you need days or weeks to generate a report.”

Penetrating the SMEs

The company also introduced its first big data analytics solutions catered to the small and medium enterprises (SMEs).

The product, dubbed ANT, is the “mini-version” of the GIANT. It has most of the features SMEs need when comes to making sense of their data.

“For a long time, the SME market has been underserved. It also has most of the features that SMEs are looking for.

Expecting strong response

In late 2016, Fusionex invited 10 companies to take part in the pilot run of the Fusionex GIANT 2017. From the 10 companies, 8 of them have already signed up for the solution.

“Our vision has always been to create innovative technology that meets the business needs of today’s market. Innovation drives growth and we strongly believe Fusionex GIANT 2017 is the answer to an IoT driven world that is in constant need of better, faster, cost optimised and commercially-feasible technology,” said Teh.
“Analytics can help bridge the gap between business and consumer needs and we are ready to assist our customers to stand above their competition.”

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How IoT Infrastructure Factors into Data Security and What That Means For You

What can you truly do to prevent and deal with cyber attacks? The answer is right here in these primary IoT principles.

The Internet of Things, or IoT, is transforming traditional industries and providing unprecedented amounts of data to provide world-altering information to all users and adopters. However, the IoT is also vulnerable to security breaches and the ensuing storm. This is especially true in business and enterprise, where a data breach could mean exposing not just your organization’s data but also sensitive data related to your customers and clientele.

Inherently, connected and publicly accessible devices come with a series of vulnerability risks. But the real issues are an inadequate series of regulations for data security and privacy in the field and a lack of preparedness on the part of users. What happens, for example, when a device is compromised and the data contained within is absconded? Who is to blame? What should be done to protect those affected, and how can we make sure it doesn’t happen again?

Furthermore, who owns the data being collected and processed? When consumers are involved, is it the person for whom the data is about? Is it the company collecting the data? Is it the manufacturer of the IoT device or equipment in use?

You can see that the matter of security and privacy is about more than just locking down the technology and preventing unauthorized access. It’s about how the devices are used, as well as what’s being done with the data they create. And more importantly, how we — as a society — secure that data.

Prepare for an event

The more obvious security concern relates to a data breach or cyber attack. At this point, it’s better to look at them as inevitable. Not only should you never be lax with your security and preventative measures, but also understand that, at some point, you will most likely experience an attack. Which means, dealing with the aftermath of a breach and developing a proper risk assessment plan — that covers before, during and after an attack — are equally necessary.

Too many of us focus on just the preventative side of the equation, which does nothing during and after an event.

Instead, a more robust security plan is in order. This means establishing monitoring tools to see who’s on your network and what they’re doing at all times. You must also have a way to prevent or block both unauthorized and legitimate users. Sometimes a trusted user’s account or device is being leveraged by hackers.

Additionally, measures must be deployed to secure the sensitive data involved, eliminate access to it during a breach, and understand what content — and why — is being targeted.

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Securing your network: Mind IoT data principles

While dealing with IoT data and information, there are several questions you must ask before deploying any equipment on your network.

Should data remain private and be securely stored?
Does this data need to be accurate and trustworthy — free from tampering or outside influence?
Is the timely arrival of the data vital to operations?
Should the device(s) or hardware be restricted to select personnel?
Should the firmware or device software be kept up-to-date?
Is device ownership dynamic and will there need to be complex permissions?
Is it necessary to audit the data and systems in use regularly?
Answering these questions will determine exactly what kind of security measures and protocols you put in place. If devices are restricted to select users, you will need to deploy an authentication system that can both identify and provide access based on a series of explicit permissions.

It’s also worth mentioning that many of these principles are related to one another. Restricting user access, for instance, would call for dynamic ownership, complex permissions, and data encryption to prevent unauthorized data viewing or manipulation.

All too often, we take it for granted that the data is flowing freely and securely between systems or devices and that it’s being housed in a protected way. The sad truth is that proper security is an exception more than it is a rule, as evidenced by so many recent and historic data breaches.

Minimizing damage during an event

As with any conventional business it outsourcing infrastructure business, an IoT network must undergo routine maintenance and monitoring to ensure that issues are handled swiftly. Any and all network devices must be kept up-to-date with the latest security patches. Only authorized users must be allowed to access highly-sensitive data, and they must be knowledgeable and aware of basic security protocols. Finally, the proper security monitoring tools must be deployed to keep an eye on what’s happening.

Future proofing the technology means adopting innovative security strategies where they are applicable. AI and machine learning tools can help devices identify and understand when something isn’t right, and then ultimately empowering them to take action. Whether that be blocking out a users access, notifying an administrator, or shutting-down completely to prevent further damage.

New threats and opportunities will always be present, as the market and field of cybersecurity is ever-evolving. However, acting now and deploying appropriate measures as soon as possible will help prevent the more damaging events from occurring on your network and devices. https://www.pslcorp.com/it-outsourcing-services-companies/

Higher Learning Institution Leveraging Fusionex Data Technology

Singapore, 28 June 2018 – Fusionex, a multi-award-winning data technology provider specializing in Big Data Analytics (BDA), the Internet of Things (IoT), Artificial Intelligence (AI), and Deep Learning has rolled out a data analytics solution for an institute of higher learning of high repute in Asia to elevate its market intelligence by accurately determining market demand.

An institution of higher learning that has educated students for over 30 years, the client currently has a student enrollment of more than 11,000 strong and offers courses in Accounting, Communications, Computer Science, Early Childhood Education, Economics, Engineering, Hospitality and Tourism, Law, and Psychology.

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The data management solution involves capturing information from online interactions on the client’s web portal and other domains for analysis to accurately discern student interest, course relevance, potential roadblocks against enrolment, and other such acumen.

Fusionex revamped the client’s web portal, transforming it into an intelligent data gathering platform capable of tracking user data. Specifically the web portal could measure how each user uniquely interacts with it and produces insights from this data to form a true 360-degree view of each customer. It can also determine which pages failed to capture user interest, causing them to drop off from the web portal. Such insights paint a more comprehensive and precise picture regarding the fluctuating levels of interest throughout a customer’s journey as they browse through the client’s web portal.

By leveraging on such comprehensive data collection and cognitive computing capabilities, the client could also monitor patterns of visit to their web portal via social media platforms such as Facebook as well as from online ads, giving the client a better understanding of their sales conversion rates and return on advertising investment.

Furthermore, the data management solution allows for the monitoring of popular online job portals and peer web portals, granting a holistic overview of the market; enlightening the client concerning popular jobs, courses peer web portals are offering, and the shifting tides of supply and demand in the industry. Such insights can play a vital role in cluing the client as to what strategies and plans to adopt to attract prospective students.

Fusionex will be advancing the client’s online visibility and presence via Search Engine Optimization, Machine Learning, AI, and Search Engine Marketing techniques while simultaneously running the client’s solution on Fusionex Cloud, leveraging the storage flexibility and cost savings it provides.

Ivan Teh, Fusionex Founder & Group CEO, commented: “We are delighted to deploy this robust data management solution as we look forward to it generating powerful insights for the client. This will enable the client to create relevant targeted offerings for prospective students and for students to find the most suitable courses that match with their individual talents and interests.” https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=224466704