Thursday, March 21, 2019

Understand The Blockchain In Two Minutes

Over the past decade, an alternative digital paradigm has slowly been taking shape at the edges of the internet.

This new paradigm is the blockchain. After incubating through millions of Bitcoin transactions and a host of developer projects, it is now on the tips of tongues of CEOs and CTOs, startup entrepreneurs, and even governance activists. Though these stakeholders are beginning to understand the disruptive potential of blockchain technology and are experimenting with its most promising applications, few have asked a more fundamental question: What will a world driven by blockchains look like a decade from now?

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Tuesday, March 19, 2019

How Does A Blockchain Work - Simply Explained

What is a blockchain and how do they work? I'll explain why blockchains are so special in simple and plain English!

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Friday, March 15, 2019

Scary Artificial Intelligence Breakthrough - What You're About To See Will Shock You

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Monday, March 11, 2019

Preparing For A Future With Artificial Intelligence

It’s often said that history repeats itself.  Many times in the course of our history, new technologies have wiped out entire workforces.  For upcoming generations, the rise of artificial intelligence represents the next great solution and the next great hurdle. Robin believes how we respond to this challenge, could be our defining moment as a species.

Robin Winsor is a technology leader and entrepreneur who has led several organizations from start-up to international success. Before joining Cybera as President and CEO in 2010, Winsor invented and developed the world’s first direct digital x-ray system, and holds multiple patents in the medical, well-logging and seismic industries. He is a past recipient of a Manning Innovation Award, the Ernst & Young Entrepreneur of the Year Award, and the Queen’s Diamond Jubilee Medal for outstanding service to Canada. He is a staunch advocate for transparency and lower cost information sharing through advancements in technology.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

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Wednesday, March 06, 2019

Machine Learning vs Deep Learning vs Artificial Intelligence

This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL and AI, and how they are related to each other. The tutorial video will also cover what Machine Learning, Deep Learning and Artificial Intelligence entail, how they work with the help of examples, and whether they really are all that different.

This Machine Learning Vs Deep Learning Vs Artificial Intelligence video will explain the topics listed below:

1. Artificial Intelligence example (
00:29 )
2. Machine Learning example (
01:29 )
3. Deep Learning example (
01:44 )
4. Human vs Artificial Intelligence (
03:34 )
5. How Machine Learning works (
06:11 )
6. How Deep Learning works (
07:09 )
7. AI vs Machine Learning vs Deep Learning (
12:33 )
8. AI with Machine Learning and Deep Learning (
13:05 )
9. Real-life examples (
15:29 )
10. Types of Artificial Intelligence (
17:50 )
11. Types of Machine Learning (
20:32 )
12. Comparing Machine Learning and Deep Learning (
22:46 )
13. A glimpse into the future (
25:46 )

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Thursday, February 28, 2019

The Importance Of Culture Change In Digital Transformation

More and more businesses are seeking to digitally transform their organizations to meet the ever increasing demands and expectations of the modern, technically sophisticated customer. But few are prepared for the internal disruption this causes throughout the entire enterprise, which is why culture change and change management is so important.

For digital transformation to be successful, businesses need to adopt agile methodologies, processes and working practices. Becoming an agile business requires a cultural change. Similarly, as digital transformation is largely driven by the changing demands and expectations of customers, customer-centric strategies are a must and successfully developing and implementing these new approaches requires a more integrated and fluid organization.

Laying the Foundations of Digital Transformation

Businesses whose digital transformation projects fail are usually guilty of failing to lay solid foundations:

  • Agile

  • Customer-Centric

  • Omni-Channel Experience

  • Laying these foundation stones requires huge culture change within the organization and managing this process is challenging. Unfortunately, if your organization wants to be successful, it is unavoidable.

    Culture Change

    Due to the ever changing and ever evolving nature of the modern world, businesses need to cultivate a culture of perpetual revolution.

    The days of businesses setting a strategy for the next 5 years, then waiting for the business execute that strategy, are long gone. Setting a 5 year strategy is still important, but the need to be able to rapidly pivot that strategy at will is fundamentally important to the long-term strategic success of the enterprise. Most businesses, especially big and established companies, are difficult to turn and this is why aggressive new market entrants are able to sweep in and digitally disrupt industries, markets and supply chains. Established companies are too slow to respond and by the time they have mounted a meaningful response, the new entrant has established a strong position in the market and is almost impossible to remove. Companies need to be able to pivot quickly to respond to new market entrants and changes in the competitive landscape.

    Similarly, as new technologies emerge, customers and other major stakeholder group's demands and expectations change. The innovation roadmap you are following today could be redundant in weeks or months. Agility enables quick pivoting of development roadmaps, rapid transformation of customer-centric strategies and the re-engineering of omni-channel customer experiences.

    All these cases cause enterprise wide disruption and with the frequency of these disruptions rising, a culture of change and constant revolution is a must.

    For more information about digital transformation, read my whitepaper: Digital Transformation: A Guide for Business Leaders.

    By Robin Cronan

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    Tuesday, February 26, 2019

    A Practical Approach To Data Protection

    Where to start with "A Practical approach to Data Protection"

    Customer Data Protection

    When someone says data protection people's eyes glaze over, it's understandable that the data protection act of 1998 is important not just to businesses but the public in general. The Data Protection Act will however, be replaced in 2018 by GDPR.

    Don't worry, this article is not going to depths on the data protection act, instead we want to focus on what you can do to protect your data and the clients data.

    This article applies to everyone in business no matter if you are a one man band with client contact details held on your mobile phone, a shop owner who does or does not have to comply with PCI DSS or a multi-national corporation. If you have data about your business and/or your clients held anywhere (even on paper) then this applies to you!

    First Thoughts on Security Considerations

    As Microsoft Windows has developed, one of the key issues that Microsoft has tried to resolve is that of security. With Windows 10 they have taken a leap forward in protecting your data.

    Many people seem to have focused on the working of the licence for Windows 10 and what it allows Microsoft to do; removing counterfeit software etc. Is this wrong? Of course not. In fact if you are in business and your systems have counterfeit software you are opening yourself up to data loss in a big way.

    Pirated software usually has additional code in it that allows hackers to gain access to your system and therefore your data. With Cloud Based services these days, using legitimate software should be easier than ever, after all the monthly cost of a copy of Office 365 is a pittance.

    Whilst we are on Cloud Based systems, it is worth remembering that unless you encrypt your data on the cloud then chances are it could end up in the wrong hands no matter how security conscious the vendor is. New hardware is already being developed that will take care of this for you, but it isn't here yet, so be warned.

    We will come back to security a little later after we have looked at the severe fines that you could incur by not taking Data Security seriously.

    This is about BIG companies isn't it?

    No, definitely not, your companies data security is the responsibility of everyone in your company. Failing to comply can be costly in more than just monetary terms.

    Throughout this article I will drop in a few rulings from the ICO that demonstrate how important it is to take these issues seriously. This is not an attempt to scare you, neither is it a marketing ploy of any sort; many people believe that getting "caught out" will never happen to them, in fact it can happen to anyone who doesn't take reasonable steps to protect their data.

    Here some recent rulings detailing action taken in the United Kingdom by the Information Commissioners Office:
    Date 16 April 2015 Type:Prosecutions

    A recruitment company has been prosecuted at Ealing Magistrates Court for failing to notify with the ICO. Recruitment company pleaded guilty and was fined �375 and ordered to pay costs of �774.20 and a victim surcharge of �38.
    and here's another:
    Date 05 December 2014 Type:Monetary penalties
    The company behind Manchester's annual festival, the Parklife Weekender has been fined �70,000 after sending unsolicited marketing text messages.

    The text was sent to 70,000 people who had bought tickets to last year's event, and appeared on the recipients' mobile phone to have been sent by "Mum".

    Let's look at the simplest way in which you can protect your data. Forget expensive pieces of hardware, they can be circumnavigated if the core principles of data protection are not addressed.
    Education is by far the easiest way to protect data on your computer's and therefore in your network. This means taking time to educate the staff and updating them on a regular basis.

    Here's what we discovered - shocking practices

    In 2008 we were asked to perform an IT audit on an organisation, nothing unusual, except that a week before the date of the audit I received a phone call from a senior person in that organisation, the call went something like this:-

    "We didn't mention before that we have had our suspicions about a member of staff in a position of authority. He seems to of had a very close relationship with the IT company that currently supports us. We also suspect that he has been completing work not related to our organisation using the computer in his office. When we told him about the up-coming IT audit he became agitated and the more insistant we were that he should comply, the more agitated he became".

    This resulted in this individuals computer being the subject of an all but forensic inspection, apart from an un-licenced game, we found nothing and believing that the information we were looking for may have been deleted we performed a data recovery on the disk drive.

    The results caused consternation and required us to contact the ICO. We found a lot of very sensitive data that did not belong on that drive. It looked as though it had been there for some time and most of it was not recoverable suggesting it had been removed a good while ago.

    As it turned out the disk drive had been replaced several months before and the IT company had used the drive as a temporary data store for another companies data. They formatted the drive and put the new operating system on thinking nothing of it.

    It just goes to show that formatting a drive and then using it for months won't remove all the previous data. No action was taken other than a slapped wrist for the IT firm for poor practices.

    So who should be trained?

    The best way to demonstrate the importance of data protection is by using top-down learning sessions where management is trained first, followed by junior management followed by the staff. In this way it's obvious to management as well as the staff the data protection is not something that one person does it is in fact the duty of every employee within a company.

    A data breach will affect everybody within the company not just the person responsible but, those ultimately responsible as well.

    The training is not lengthy or difficult, but it should be provided by an expert in the field or a company whose expertise is beyond doubt.

    In-house training on this subject is not recommended as it is only an outsider who will be taken seriously and who will have the 3rd party credibility required to enforce the importance of the issue.
    Information Security is everyone's business

    Information Security Awareness Training: Here's what should be covered:

  • Provide an easy-to-use online 40 minutes information security awareness training course for your employees to log on and learn best information security practices from.

  • Provide best practice course content of your compliance requirements.

  • Teach employees in simple non-technical language, how and why hackers hack.

  • Instruct employees in the best methods of protecting your systems and the sensitive information you process.

  • Explain employee inherent responsibilities for protecting your business information and identifying and reporting suspicious activity.

  • Supply this information efficiently and effectively, an information security threats risk assessment should be completed.

  • A good threats and risk assessment should answer the following questions:
    • What do I need to protect and where is it located?

    • What is the value of this information to the business?

    • What other vulnerabilities are associated with the systems processing or storing this information?

    • What are the security threats to the systems and the probability of their occurrence?

    • What would be the damage the business if this information were compromised?

    • What should be done to minimise and manage the risks?
    Answering the questions above, is the first and most crucial step in information security risk management. It identifies exactly what your business needs protect and where it's located and why you need to protect it in real cost impact terms that everyone should understand.
    Don't end up like these guys:
    Date 22 December 2014 Type:Monetary penalties
    The Information Commissioner's Office (ICO) has fined a marketing company based in London �90,000 for continually making nuisance calls targeting vulnerable victims. In several cases, the calls resulted in elderly people being tricked into paying for boiler insurance they didn't need.

    In plain English, make it very clear to every employee within the company exactly what their responsibilities are to the data that is within their grasp on an everyday basis, explain how to protect it, explain why we need to protect it and point out the consequences to the business of not doing so.
    Most un-trained employees would probably think that data protection has little or nothing to do with them; but, if a data breach occurred the company could lose business when the news hits the press, that may lead to lay offs due to lost business. It really does fall on everyone in the company from cleaning staff to the CEO to take responsibility.

    Who should deliver the training?

    This topic is not something that any training company can deliver correctly. You really need to work with real security experts, companies that are highly qualified and well experienced.

    Unfortunately, in the IT industry many individuals and companies have presented themselves as IT Security Guru's and most are just scare mongers with an agenda. They want to sell one specific service no matter if you need it or not.

    However, there are some very well qualified, genuinely helpful professional companies out there.
    In 2011 I was fortunate enough to be at the eCrimes Wales when Richard Hollis from the RISC Factory spoke. His presentation spoke to the audience in a way that few others did that day, it established him in this authors mind as my go to person in the UK on data security issues. I managed to grab a quick word with him during a break and he was really helpful.

    Why do I rate Rich so highly? Well his background is interesting to say the least, a background in service for the NSA means he knows what he's doing and has more knowledge in this area than the average Joe. It also means that where other IT Security experts see an issue, Rich sees a much bigger picture.

    Of course many other companies offer similar services and in the current economic climate it is good to shop around if you need to.

    Getting started

    First of all, watch and re-watch the video (linked below) and find it's second part on YouTube, watch that as well. Take notes during the video and get those steps planned out in your mind, answer the key questions about your company, data and security.

    Next, speak with your IT department if you have one, your IT support company if you don't and see if they have any cost effective idea's that you can implement without impacting on your IT budget too heavily.

    You can start protecting your company data from outside sources for a couple of hundred GB pounds by installing the right kind of Firewall, with cloud based updates 24/7.

    Quality Anti-Virus with built in Anti-Malware doesn't have to cost the company a fortune either, but again, take advice. Many of these products slow the computer system down so much that they have a negative impact on performance. One of the most famous of these (beginning with N) is often sold in High Street electronics, stationary and consumer goods stores as being "the best"; in fact it is the best profit margin and not the best product, it slows the system down and needs a special piece of software to remove it completely!

    Store sensitive data in an encrypted area of a RAID storage drive system with restricted access control. A NAS drive is a cheap and effective way of achieving this.

    Don't store sensitive data on Cloud Based systems like Dropbox, sure it's cheap and easy to use, so if you are passing none critical data such as graphics, logo's and promotional material; great! If you are passing your accounts to your accountant, a new product schematic to a machine tooling company etc. - use something else that has better security.

    Nothing personal against Dropbox and similar products, but like Microsoft OneDrive as it is now both have been hacked in the past. Although the security has been improved dramatically, you should not take the risk.

    Finally take advice from real experts when you have any doubts. People like Richard Hollis have dedicated their careers to security. As they park up outside a company for a meeting they have already analysed several security considerations automatically. When they walk through the front door they make a dozen more calculations and risk assessments. All before they even sit down and talk to you about your concerns.

    Layers: Security is all about a layered approach. Think of it as an Onion. Here's an example at a Physical level for a company that I used to work for many years ago.

    As you entered the building you could not get past reception unless they "Buzzed you through" the security barriers in the reception area. These were swipe card controlled for staff.

    Swipe cards for staff allowed them access only to those areas they were authorised to enter; so for example only IT support staff and some developers had access to the server room. Note here that unlike some companies the cleaner did not have access to the server room or to the developers area of work.

    Get the idea?

    On an electronic level, all critical systems were duplicated with independent power, backup power from a generator that had backup power from a UPS system.

    Firewalls separated the different LANs and the inside from the outside of the company. Each department ran on its own LAN with connections between LANs for only those people who absolutely needed them.

    You can carry on to much lower levels of protection like making sure that all USB drives are encoded and encrypted so that they can only be used to move data between the companies own PC's.
    These sorts of security measures are actually very simple to achieve, they are not rocket science, nether do they have to cost you an absolute fortune.

    Remember - Plan, Do, Check, Act - repeat as required. But always get advice from professionals. Believe me, the kid next door who builds his own computers and sells them doesn't know enough about the threats to your company.

    If you are in the UK, consider undertaking Cyber Essentials the government scheme to get businesses to a minimum standard to protect data. This is seriously worth while looking at; during the recent NHS attack, none of the NHS Trusts that had completed and been certified Cyber Essentials standard establishments were penetrated.

    By Stephen Richards

    We trust that you have found this article interesting, please tell your friends.

    One final thing, May 28th 2018 will see GDPR replace the data protection act and businesses within the UK will need to be ready for the change, don't wait. Get started today.

    The video mentioned above can be located at

    You can contact the author for more information or visit for the latest threat news

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    Friday, February 22, 2019

    Data Recovery: How To Recover From A Hard Drive Failure


    Unfortunately, most home users, and many business users, do not back up their systems. Moreover, many small businesses have older back-up procedures that are often ineffective for recovering files.
    Of course, you can run down to your neighborhood electronics store and purchase a replacement drive for your computer, but what about your data on the failed hard drive? How important was it? Did you save it or back it up?

    What to do:

    If you need to recover data on the hard drive, the first thing to do is avoid trying to reboot or doing anything that involves the drive. Doing so can actually do more damage to your data.

    The only irreversible data loss is caused by overwriting bits, physical damage to the drive platters or destruction of the magnetization of the platters, which seldom happens in the real world. In the majority of cases, the malfunction is caused by a damaged circuit board, failure of a mechanical component and crash of internal software system track or firmware.

    In the case of actual hard drive failure, only a data recovery professional can get your data back. And the fact that you cannot access your data through your operating system does not necessarily mean that your data is lost.

    As a "rule of thumb," if you hear a clicking sound emitting from your hard drive, or if the computer's S.M.A.R.T. function indicates an error during the boot process, something is wrong. You should immediately stop using the hard drive in order to avoid causing further damage and, potentially, rendering the information on the hard drive unrecoverable.

    After receiving your failed hard drive, a data recovery specialist's first step will be to try and save an image of the damaged drive onto another drive. This image drive, not the actual damaged drive, is where the data recovery specialist will try to recover the lost data.

    The next step in the imaging process is to determine if the hard-drive failure was an actual malfunction, a system corruption or a system track issue.

    System corruption and system track issues are normally fixed by using a specialist's data recovery software. System corruption or system track recoveries do not require processing in a clean room environment.


    Unfortunately, damage to a drive's circuit board or failure of the head drives is not uncommon. In each of these failures, a data recovery specialist should work on the system only in a clean room environment. There, the specialist can substitute parts such as drive electronics, internal components, read/write arms, writing/reading heads, spindle motors or spindle bearings from a donor drive in order to gain access to the data on the failed hard drive. In most cases, the data recovery specialist is able to retrieve and return the lost data.

    By Loveleen Talwar

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    Wednesday, February 20, 2019

    The Video About Cloud Technology Everyone Should See

    The Cloud....seriously though, what is it?  Kitty Flanagan gets right down to it.

    This is absolutely you will still probably learn something!


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    Monday, February 18, 2019

    Advantages Of Cloud Storages

    Utilizing an outer drive is the most generally utilized approach for having reinforcement stockpiling. The general population who mull over making utilization of distributed computing for this reason regularly think about whether the innovation is justified regardless of the exertion. Clients of the framework guarantee that there is no motivation behind why anybody must abstain from utilizing this framework as it guarantees different extra points of interest when contrasted with the ordinary techniques.

    The way that one needs to spend an infinitesimal measure of cash each month for the utilization of cloud information stockpiling is one explanation behind potential clients to be reluctant.

    Notwithstanding, the accompanying advantages of the innovation are reason enough to guarantee that this cash spent is well justified, despite all the trouble.

    Extensive storage space: The most fundamental preferred standpoint of utilizing the cloud is that one can store any measure of information, which is outlandish while utilizing drives. Additionally, the framework is to a great degree simple to use as the record is made in minutes, instead of the time and exertion spent on going looking for an outside drive.

    No Physical presence: Once you have put away your information on the cloud, it turns into the obligation of the supplier to stress over its upkeep. Rather than purchasing and putting away those various outer drives, one just needs to remain associated with the web keeping in mind the end goal to get to the put away information.

    Convenience of automatic backup: The clients of distributed computing don't need to try guaranteeing that they have associated the outside drive to their PCs and that they take reinforcements at general interims. The settings on the cloud framework can be changed according to the client's inclination with respect to whether the reinforcement ought to be taken various circumstances in a single day or once consistently. The main clear essential for the framework to be moved down is that the web ought to be associated and everything else is dealt with.

    Easy restoration: In regular conditions, recovering and reestablishing a hard drive from moved down information is a long and awkward process which requires the administrations of a PC professional. The cloud clients are saved from any such burden as this reclamation procedure is made straightforward and brisk. On the off chance that at all the clients still have questions about taking care of this all alone, they can simply look for assistance from the suppliers and they will gladly oblige.
    For such huge numbers of administrations, the little expense charged by the supplier ought to barely be a killjoy. One can simply be on the watch out for rebates and offers that are offered by cloud suppliers for new customers which chop down the expenses to an absolute minimum.
    If you want to know more go to:

    By Shail Ahmed

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    Wednesday, February 13, 2019

    The Dangers Of Chatbot Dependence

    The use of live chat for customer services has grown popular over the past several years, often replacing voice support services. Many companies now recognize the benefits it brings, such as

  • the ability to address customer needs with more clarity

  • increased time and cost efficiency

  • better customer satisfaction

  • However, with the growth of chat customer support came the creation of AI software that could take over the responsibilities of a human support agent-the chatbot.

    For large companies that often handle hundreds if not thousands or even millions of customers in a day, a chatbot can save them a lot of time and allocation of resources. They don't have to hire big teams of human customer support agents to handle every single customer that comes to them with an inquiry. Another big plus for businesses is that chatbots don't get tired. They don't need to work in shifts-they can work 24 hours a day, 7 days a week for as long as the company uses them.

    But as much help as chatbots can be to a big brand, they can also be a huge detriment.

    Artificial intelligence is still flawed, as is with anything man-made. Sometimes the AI becomes too good to the point that it appears they have grown sentient, or they can be entirely unable to help a customer in need, as was the case with Telstra, a telecommunication company based in Australia.

    Several news sources such as the Sydney Morning Herald, the Daily Mail, and Yahoo! News have reported that many customers have become irate at the quality of Telstra's customer support chatbot, Codi, which was launched last October. Since then, customers have been posting on social media about their discontent with Codi.

    For starters, the chatbot has a lot of trouble processing simple requests, such as when a customer requests that they be handled by a human agent. Codi also had a tendency to repeat itself and is prone to system crashes. There is one memorable anecdote of a man named Paris who requested a human agent and instead was asked if he wanted data roaming. Apparently, Codi mistook his name for the French city.

    While this is not the same for every chatbot being used by businesses, Codi is a reminder of the possible trouble that awaits them, no matter how good the algorithm is. These kinds of issues can be a serious factor in a customer's satisfaction (or lack thereof) with a company, no matter how good their products or services are.

    While AI has proven itself to be useful and full of potential, it is wiser to proceed with caution and not completely depend on it, especially when it comes to customer support. Yes, hiring human support teams can mean more expenses than a chatbot program, but while robots can automate the entire process and handle simple queries with more efficiency, they still cannot deal with problems that require a more human touch.

    There is no better investment return than good sales and a happy, satisfied customer. Using an AI today may be able to give you the first, but what about the latter? This is important to consider when deciding how to handle your chat customer support.

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    Thursday, February 07, 2019

    How SDWAN Is Like Smart GPS For Wide Area Networks

    Do you remember the days before you had a smartphone and you wanted to get somewhere you had never been? Did you pull out the Thomas Brothers map book, look up the address in the back and then find the page and quadrants to find your street? Then you had to backtrack to your location to figure out how to get there. And traffic? You had to listen to the AM station that had “traffic on the sixes.” Want to go back there?
    Well in the old days, the way we routed network traffic was about as antiquated. Let’s compare this natural progression of finding your way from point A to point B using network equipment. The days of physical maps – the “Thomas Brothers” is like a basic router. This “physical map” showed you all paths leaving it up to you to figure out the best way there. Then we were introduced to MapQuest. This let us look up the address where we wanted to go, and it gave us a map and printed directs how to get there from our location. Let’s compare that to fail over routers. These used non-real-time path information to get you there using the shortest path.

    The Aha Moment

    Today we have a computer in our pocket to help us get where we want to go using the fastest route. Google Maps or Waze use real-time data and information from actual drivers to get you there faster and smarter. Today’s SDWAN Technology does this for the network. Traffic can be prioritized, and the technology know what to get there first.
    Traditional network devices cannot detect all network conditions on every hop between A & B. Anomalies like network stability, small packet loss, jitter, latency, etc. cannot be detected in real time. Therefore, services like voice & video (without SDWAN) can have quality issues, even with the best bandwidth.
    Today’s network monitoring is not real-time, it is near real time, which leaves significant gaps in visibility/information such as traffic bursts and other anomalies. SDWAN helps companies by combining real-time granular advanced end-to-end network metrics/information with real-time wire speed per-packet and per session routing decisions at each edge.
    SDWAN combines navigation smarts with actual routing ability with easy management, automation, and visibility into all locations giving companies an amazing solution that merely saves time, money, and effort. SDWAN is an easy-to-use toolset that can be configured in many ways. SDWAN fixes the problem of the edge management and lack of onsite IT. SDWAN automates many of the once manual tasks of programming, provisioning and routing decisions with degraded internet connections.

    THERE'S free Help AVAILABLE TO You FOR Selecting the Right Equipment

    SDWAN is a broad technology and can get confusing but fear not. All SDWAN manufacturers are purpose-build for specific client use cases. Some are built to help prioritize and control cloud connectivity and applications that run the business, others are built for network resiliency and reliability, while still others are built to collapse environments using an all-in-one cloud firewall solutions. All SDWAN manufacturers are great; it just all depends on what you are trying to accomplish not only today but three years from now. By approaching SDWAN from a consultative and high-level, goal-oriented approach can bring you an extreme amount of long-term value and savings.
    As far as pricing, it is very dependent on size and speeds required; it can run anywhere from $55 per month per location to $2k per month per location depending on your specific needs.  These solutions can also be Managed, Co-Managed or do-it-yourself installations. In some cases, SDWAN can even save you money by offsetting high-cost equipment and networking services.
     Here are just a few of the SDWAN manufacturers that we have access to:
    Aryaka, Silverpeak, Cato Networks, Cisco VIPtela, Cisco Meraki MX, Citrix , CloudGenix, Barracuda Networks, BigLeaf Networks, Ecessa, Riverbed, SimpleWAN, TeloIP, Versa Networks, and VeloCloud.
     By scheduling a discovery call with us and one of our engineers, we can determine a solution that fits best for your specific use case from simple failover to global designs.
    All it takes is to ask us at the below's as easy as 1, 2, 3.

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    Virtualization For Fast-Growing IT Requirements

    The actual need for virtualization basically requires the prior understanding of three things: Why Virtualize? What is Virtualization? And When to Virtualize?

    The virtualization technology evolution dates back to the times of main frame computers, where the operators had to utilize huge power resource to run processes. Operating Virtualization addressed this issue by allowing the hardware resource to run multiple operation system images using a single software tool, thus managing the power utilization in running processes.

    Server virtualization is the key aspect of virtualization technology, where the main server is virtualized to create a guest system that exactly works as a main system. A software layer called hypervisor makes this happen by emulating underlying hardware. Here the guest operating system uses the software emulation of the underlying hardware, i.e., virtualized hardware and not the true hardware.

    The performance of the virtual system is not exactly the same as that of the true system. Even then the virtualization holds significance as the most applications and guest systems may not demand for full utilization of the underlying hardware.

    Thus, the dependence on hardware is alleviated, allowing greater flexibility and isolation of the processes from the main system, whenever needed. Here is where the companies working on multiple applications on multiple platforms can have an advantage of minimization of extra resource utilization.

    Virtualization, which was initially confined to server systems, has evolved over the years to suit for networks, desktops, data and applications, among others.

    Wings of Virtualization:

    Virtualization has spread its wings across six key areas of significance in the IT industry:

  • Network Virtualization: This reduced the complexity across networks by grouping the available resources in a network, connecting them with independent channels formed as a result of the splitting of available bandwidths. These channels can be linked to devices later, depending on the requirement.

  • Storage Virtualization: Here, various storage devices are grouped into a single large virtualized storage unit, which is controlled from a central console.

  • Server Virtualization: This involves the masking of servers so as to limit the server users from accessing server's complex information, such as physical address, among others, while also ensuring the resource sharing. The software that is used to virtualize the underlying hardware is 'hypervisor'

  • Data Virtualization: Here the broader data access is provided to meet the business requirements, while abstracting the very important basic information like storage location, performance, and format.

  • Desktop Virtualization: Here the main intention is to share the workstation. Instead of server, the workstation load is shared via virtualization, in the name of remote desktop access. As the workstation works in data centre server environment, security and portability are also ensured.

  • Application Virtualization: Here the application is abstracted from the operating system, and encapsulated. The encapsulated form of the application is used across platforms without having need fo depend on the operating system every time during implementation.

  • Overall, fast-growing IT and end-user requirements driven by rise in demand for automation gives a needed boost to the global IT virtualization market.

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    Tuesday, February 05, 2019

    A Brief Introduction to Artificial Intelligence

    We all know that Siri, Google Now, and Cortana are all intelligent digital personal assistants on various platforms (iOS, Android, and Windows Mobile). In short, they help find useful information when you ask for it is using your voice; you can say "Where's the nearest Indian restaurant?", "What's on my schedule today?", "Remind me to call Mom or Dad at eight o'clock," and the assistant will respond by finding information, relaying information from your phone, or sending commands to other apps.

    AI is important in these apps, as they collect information on your requests and use that information to better recognize your speech and serve you results that are tailored to your preferences. Microsoft says that Cortana "continually learns about its user" and that it will eventually develop the ability to anticipate users' needs. Virtual personal assistants process a huge amount of data from a variety of sources to learn about users and be more effective in helping them organize and track their information.

    Your smartphone, calculator, video games, car, bank & your house all use artificial intelligence daily; sometimes it's obvious what its' doing, like when you ask Siri to get you directions to the nearest gas station. Sometimes it's less obvious, like when you make an abnormal purchase on your credit card and don't get a fraud alert from your bank. AI is everywhere, and it's making a huge difference in our lives every day.

    So, we can say that Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning and planning. Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future - but if we look around, we are convinced that it's not the future - it is the present.

    Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps soon. Artificial intelligence or machine intelligence is the simulation of human intelligence processes by machines, especially computer systems.

    What is the use of AI?

    Vision systems. The need to interpret, fully understand and make sense of visual input on the computer, i.e. AI is used to try and interpret and understand an image - industrial, military use, satellite photo interpretation.

    What is the purpose of AI?

    When AI researchers first began to aim for the goal of artificial intelligence, a main interest was human reasoning... The specific functions that are programmed to a computer may be able to account for many of the requirements that allow it to match human intelligence

    What is an ASI artificial intelligence?

    A superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds.

    What is the goal of AI?

    Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". General intelligence is among the field's long-term goals.

    What are the different types of AI?

    We need to overcome the boundaries that define the four different types of artificial intelligence, the barriers that separate machines from us - and us from them.

    Type I AI: Reactive machines
    Type II AI: Limited memory
    Type III AI: Theory of mind
    Type IV AI: Self-awareness

    Is computer vision part of AI?

    Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques. Consequently, computer vision is sometimes seen as a part of the artificial intelligence field or the computer science field in general.

    Is machine learning the same as artificial intelligence?

    Increasingly, machine learning (ML) and artificial intelligence (AI) are cropping up as solutions for handling data. The two are often used interchangeably, and although there are some parallels, they're not the same thing.

    What are the fields of artificial intelligence?

    · List of applications
    · Optical character recognition.
    · Handwriting recognition.
    · Speech recognition.
    · Face recognition.
    · Artificial creativity.
    · Computer vision, Virtual reality and Image processing.
    · Diagnosis (AI)
    · Game theory and Strategic planning.

    How important is Artificial Intelligence?

    AI is the machines which are designed and programmed in such a manner that they and think and act like a human. Artificial Intelligence becomes the important part of our daily life. Our life is changed by AI because this technology is used in a wide area of day to day services.

    For most of us, the most obvious results of the improved powers of AI are neat new gadgets and experiences such as smart speakers, or being able to unlock your iPhone with your face. But AI is also poised to reinvent other areas of life. One is health care. Hospitals in India are testing software that checks images of a person's retina for signs of diabetic retinopathy, a condition frequently diagnosed too late to prevent vision loss. Machine learning is vital to projects in autonomous driving, where it allows a vehicle to make sense of its surroundings. Artificial intelligence is already present in plenty of applications, from search algorithms and tools you use every day to bionic limbs for the disabled.

    Sometimes it seems like every other website, app, or productivity tool is citing AI as the secret ingredient in their recipe for success. What's less common is an explanation of what AI is, why it's so cool, and how companies are leveraging it to provide better user experiences. If you don't know much about AI, the absence of an explanation can be confusing. Today, the field of artificial intelligence is more vibrant than ever and some believe that we're on the threshold of discoveries that could change human society irreversibly, for better or worse.

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    Friday, February 01, 2019

    What Are The Challenges Of Machine Learning In Big Data Analytics?

    Machine Learning is a branch of computer science, a field of Artificial Intelligence. It is a data analysis method that further helps in automating the analytical model building. Alternatively, as the word indicates, it provides the machines (computer systems) with the capability to learn from the data, without external help to make decisions with minimum human interference. With the evolution of new technologies, machine learning has changed a lot over the past few years.

    Let us Discuss what Big Data is?

    Big data means too much information and analytics means analysis of a large amount of data to filter the information. A human can't do this task efficiently within a time limit. So here is the point where machine learning for big data analytics comes into play. Let us take an example, suppose that you are an owner of the company and need to collect a large amount of information, which is very difficult on its own. Then you start to find a clue that will help you in your business or make decisions faster.

    Here you realize that you're dealing with immense information. Your analytics need a little help to make search successful. In machine learning process, more the data you provide to the system, more the system can learn from it, and returning all the information you were searching and hence make your search successful. That is why it works so well with big data analytics. Without big data, it cannot work to its optimum level because of the fact that with less data, the system has few examples to learn from. So we can say that big data has a major role in machine learning.

    Instead of various advantages of machine learning in analytics of there are various challenges also.

    Let us discuss them one by one:
    • Learning from Massive Data: With the advancement of technology, amount of data we process is increasing day by day. In Nov 2017, it was found that Google processes approx. 25PB per day, with time, companies will cross these petabytes of data. The major attribute of data is Volume. So it is a great challenge to process such huge amount of information. To overcome this challenge, Distributed frameworks with parallel computing should be preferred.

    • Learning of Different Data Types: There is a large amount of variety in data nowadays. Variety is also a major attribute of big data. Structured, unstructured and semi-structured are three different types of data that further results in the generation of heterogeneous, non-linear and high-dimensional data. Learning from such a great dataset is a challenge and further results in an increase in complexity of data. To overcome this challenge, Data Integration should be used.

    •  Learning of Streamed data of high speed: There are various tasks that include completion of work in a certain period of time. Velocity is also one of the major attributes of big data. If the task is not completed in a specified period of time, the results of processing may become less valuable or even worthless too. For this, you can take the example of stock market prediction, earthquake prediction etc. So it is very necessary and challenging task to process the big data in time. To overcome this challenge, online learning approach should be used.

    • Learning of Ambiguous and Incomplete Data: Previously, the machine learning algorithms were provided more accurate data relatively. So the results were also accurate at that time. But nowadays, there is an ambiguity in the data because the data is generated from different sources which are uncertain and incomplete too. So, it is a big challenge for machine learning in big data analytics. Example of uncertain data is the data which is generated in wireless networks due to noise, shadowing, fading etc. To overcome this challenge, Distribution based approach should be used.

    • Learning of Low-Value Density Data: The main purpose of machine learning for big data analytics is to extract the useful information from a large amount of data for commercial benefits. Value is one of the major attributes of data. To find the significant value from large volumes of data having a low-value density is very challenging. So it is a big challenge for machine learning in big data analytics. To overcome this challenge, Data Mining technologies and knowledge discovery in databases should be used.
    The various challenges of Machine Learning in Big Data Analytics are discussed above that should be handled very carefully. There are so many machine learning products, they need to be trained with a large amount of data. It is necessary to make accuracy in machine learning models that they should be trained with structured, relevant and accurate historical information. As there are so many challenges but it is not impossible.

    By Gunjan Dogra

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