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Potential hurdles coming in the way of IoT

Sep. 21, 2018 by

Businesses all around are continually struggling to balance the benefits of new technologies with the risk they bring in turns of sophisticated data breaches. It is a daunting task to keep everything smart. Most businesses would not think twice before implementing IIoT in their business. But, it should be noted that you can reap its full potential if you don’t have a smarter control mechanism in place. Before you go for any critical infrastructural upgrade, keep these things in mind.

Security – The Major Concern

Critical IT infrastructure is at higher risk of cyber attack than a typical IT network. This is the reason why most OT teams are so cautious while handling such technology. But it is also true that a business can not run on a closed network for long.  By implementing IIoT, you can be assured of added security. But even this is proving very ineffective in providing the full proof security of system and data. Do not go for any IIoT trend until you have a valid security plan in place.

Maintaining Visibility of Your “Things”

Before the age of Industrial Ethernet, IT professionals didn’t have to bother about IP addresses. But it is not the case now.

While it is already hard enough to manage the visibility of a single sector of operation, the IIoT will add more the challenge as your business go global. With internet connectivity, 100% availability of business is nearly impossible now. Despite your network not going down, you might still go offline for system maintenance.

In business, never assume you will not experience intermittent outages. While you implement IIoT technology, ensure your IT consultancy in Virginia is using the proper cables.

Blending Legacy and IIoT Infrastructure

With private network and legal protocol in place, OT infrastructure now has the opportunity to focus more on optimizing the operations while shifting the concern from security. But IIoT is changing things.

Modernizing the entire business’s IT infrastructure will not prove to be a feasible choice. You will eventually end up mixing infrastructure with some IIoT. To avoid this, assess your infrastructure before adding any smart technology in your working.

Welcome to the Edge of the Network

An IT support consultant is aware of the advantage of the internet network. The Internet is opening more of your business to the outside which means you have a much more critical task to look after.

With Industrial Ethernet and IIoT technology coming into play, the traditional OT network used by your business will also move to the edge. The new source of data will be cloud which can significantly bridge the gap between your IT network and business network.

Data Storage is a New Concern

Physical data storage is experiencing a decline with the advancement of technology. In the past, businesses practiced the approach of analyzing data and discarding it once after use. With the industrial Internet of Things, businesses now can store as much data they want. It is resulting in the accumulation of data that is not relevant to other aspects of the company.

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Finance and technology: Taking advantage of AI in choosing your investment options

Aug. 22, 2018 by

Planning a start-up on a hunch is no longer an attractive proposition without the benefit of studying prevailing conditions and influential factors in the market because there’s no longer any excuse to not use substantive data to check the feasibility of your plans.

This is the reason why technology and artificial intelligence have become the two most valuable assets for tech companies like any IT support Virginia agency providing data and business analytics resources to business and finance institutions that have need of it.

Smart investing
The finance and business sectors have been the foremost beneficiaries of AI-driven solutions such as investment advising and asset management.

It’s dangerous to gamble on a hunch if you plan to start investing your hard-earned savings on a venture without the business intelligence to help you in planning your investment options. After all, the financial and business sectors are two of the most data-hungry fields which can greatly benefit from the machine-learning and deep learning capabilities of AI.

Since 2008, the AI-driven investment management network and software platforms have grown its assets worth $200 billion around the world. That’s equivalent to $20 billion on average each year and is predicted to grow more in the coming years. This is proof of AI-driven technology at work for finance and business.

Financial planning and management
AI-driven tools and services are designed to help investors in creating and managing their finance portfolios. This helps investors plan for investment and financial strategies not to amass wealth, but to manage it properly and benefit from its long-term effects.

The AI deep learning concept is the perfect fit for this because it can easily and quickly scale catered solutions depending on market factors that affect financial or business activities. Its intuitive nature becomes a handy tool for making evidence and data-based adjustments justified and optimizes financial planning and management efforts.

Fraud detection and security management
If there’s one thing that AI solutions can convince financial and business institutions is its powerful capability to detect fraud and security management.

AI-driven analytics tools collect and consolidate evidence to intelligently detect fraud through its machine and deep learning capability. Artificial Intelligence tools learn from data and monitor a person’s behavioral patterns to detect fraud attempts and security breaches.

These AI algorithms detect patterns in collected data to recognize fraudulent activities in the process.  With the ability for self-learning, AI systems can adapt to finding out irregularities or nuances in data and further enhance its detection capabilities over time.

With all these process innovations, the power of AI in transforming the finance and business sectors need not be as tedious and daunting as before using traditional processes. From where it used to secure data from various sources, now it enables the availability of dynamic data from any tech or IT solutions and services company.

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