Machine learning technology is becoming more and more popular within the technology world. It has many benefits that come with using it, but there are some risks and mistakes that are made. Here are the top four learning machine learning mistakes:
Business Alignment
It is important to know how machine learning can benefit your business VS how your business can benefit machine learning. Most of the time people experiment with this type of technology and sometimes it doesn’t work out because everything turns out to be a test run. You will want to know what your business will need to grow and improve, then work with the right aligned machine learning technology. Before choosing this type of technology, you may want to ask these questions:
What problem am I having? Is it urgent?
Will machine learning help us in this scenario?
Poor Training
A good portion of machine learning technology is to store and solve data, this can also include cleaning data. It can either do too much or do too less, depending on the training. If you don’t do proper training, you and your business can decrease in productivity and effectiveness.
Data Quality
No matter if machine learning is just starting or has been working for a while, it is constantly inserting and solving data. But, not just any data. It has to be able to work with a high quality database. If bad data goes into the machine, bad data will come out. It is a good practice to monitor the quality of data being used.
Deployment Complexities
Using this technology is not easy, and most of the time it is hard to find the right resources to run this device. Stakeholders for example provide the most support for machine learning. You will need a good business alignment and good collaboration for machine learning to take off.
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Machine learning is a type of artificial intelligence that is capable of predicting, detecting and prescribing solutions to many equations. It is mainly used by inserting thousands of images or algorithms into the system, which causes it to recognize the data and know the difference between them. This creates an algorithm that can be used for digital chat bots, voice recognition services and spam detection softwares. But what are the pros and cons of machine learning?
Pros
When it comes to the pros of machine learning, there are many including prediction, detection and prescription. These complex machines are able to conduct data analysis fast and are more effective than any human. They can predict accurate information that can lead to more health and technological advances. Along with predicting information, machines can also detect this information at a faster rate than humans. They can detect data, images, voices and more. Not only can machines predict and detect information, they can also create solutions for certain algorithms. Scientists believe that machine learning devices can create solutions 100 times faster than humans. Machine learning can be used for many different areas of work or study, especially with the amount of tasks it can perform.
Cons
On the other hand, machine learning does have some disadvantages including data privacy and security. Machine learning can conduct many solutions including facial and voice recognition, which can be a problem for some people. When the machine does these types of tasks, many people argue that it is taking vital information from people and storing it internally. When the data is stored, almost anyone can access it, leaving a problem of data security.
The bottom line is that machine learning is extremely useful. Like other technologies, it has its pros and cons.
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It is no secret that understanding technology and their terms can be difficult. Especially with it always changing and evolving, it is hard to keep up with all the lingo. Knowing the basic machine learning terms will help you have a better understanding of the technology. Here are the top terms you should know:
Unsupervised Learning
Unsupervised learning refers to systems that rely on clustering algorithms. The main goal of this is to allow big systems or computers to a wide variety of information so they can learn and adapt to it. The downside to this is that each system needs to be programmed in order to use the information.
Robotic Process Automation (RPA)
This type of automation is simply using bots to carry out certain tasks. RPA’s work best in an environment that repeats certain tasks.
Linear Regression
Linear regression is a statistical algorithm that uses variables to predict values of dependent variables. The main idea of linear regression is being able to use independent and dependent variables to plot data on a line.
Deep Learning
Artificial intelligence is becoming more popular in the technology industry, and deep learning is a new approach to AI. Deep learning groups learning algorithms based on hierarchy. For example, the first layer of deep learning can consist of an algorithm based on color and as the layers go up, the level of the algorithm increases due to how important it is to the full algorithm.
Classification
Classification is grouping objects, ideas or information into categories. This can be useful for any type of algorithm or machine learning. It keeps track of data and allows the user to select certain information or objects to send out or edit.
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Can you name five cybersecurity best practices? Most people can’t, and few of those who can, actually follow them. Unfortunately, cyberattacks are far too common to be lax about staying safe online. Your identity could be stolen, or even worse, you could expose private information belonging to your company’s clients. There are many ways you can protect yourself, but this list is a great starting point.
1. Multi-factor authentication (MFA)
This tool earns the number one spot on our list because it can keep you safe even after a hacker has stolen one of your passwords. That’s because MFA requires more than one form of identification to grant access to an account.
The most common example is a temporary code that is sent to your mobile device. Only someone with both the password and access to your smartphone will be able to log in. Almost any online account provider offers this service, and some let you require additional types of verification, such as a fingerprint or facial scan.
2. Password managers
Every online account linked to your name should have a unique password with at least 12 characters that doesn’t contain facts about you (avoid anniversary dates, pet names, etc.). Hackers have tools to guess thousands of passwords per second based on your personal details, and the first thing they do after cracking a password is to try it on other accounts.
Password manager apps create random strings of characters and let you save them in an encrypted list. You only need one complex password to log into the manager, and you’ll have easy access to all your credentials. No more memorizing long phrases, or reusing passwords!
3. Software updates
Software developers and hackers are constantly searching for vulnerabilities that can be exploited. Sometimes, a developer will find one before hackers and release a proactive update to fix it. Other times, hackers find the vulnerability first and release malware to exploit it, forcing the developer to issue a reactive update as quickly as possible.
Either way, you must update all your applications as often as possible. If you are too busy, check the software settings for an automatic update option. The inconvenience of updating when you aren’t prepared to is nothing compared to the pain of a data breach.
4. Disable flash player
Adobe Flash Player is one of the most popular ways to stream media on the web, but it has such a poor security record that most experts recommend that users block the plugin on all their devices. Flash Player has been hacked thousands of times, and products from companies like Microsoft, Apple, and Google regularly display reminders to turn it off. Open your web browser’s settings and look for the Plugins or Content Settings menu, then disable Adobe Flash Player.
5. HTTPS Everywhere
Just a few years ago, most websites used unencrypted connections, which meant anything you typed into a form on that site would be sent in plain text and could be intercepted with little effort. HTTPS was created to facilitate safer connections, but many sites were slow to adopt it or didn’t make it the default option.
HTTPS Everywhere is a browser extension that ensures you use an encrypted connection whenever possible and are alerted when one isn’t available on a page that requests sensitive information. It takes less than one minute and a few clicks to install it.
If you run a business with 10 or more employees, these simple tips won’t be enough to keep you safe. You’ll need a team of certified professionals that can install and manage several security solutions that work in unison. If you don’t have access to that level of expertise, our team is available to help. Give us a call today to learn more.
Published with permission from TechAdvisory.org. Source.
It’s easy to see why Office 365 is an attractive solution for small and medium-sized businesses already familiar with the Office interface. More and more companies are making the move to the cloud, but there are security issues to consider.
Identify your company’s sensitive data…
Most files housed within your servers contain sensitive commercial and personal data that must be properly identified and protected. Do this by conducting a security audit before you undertake your migration.
Your audit should identify the types of data stored in the various parts of your company network, including which specific information needs extra safeguarding. Be sure to consider everything from trade secrets and contract details to the personal information of your clients.
…and then restrict access to it
Once you’ve worked out where your most precious data lies, you can check who currently has access to it and whether their access is appropriate. After all, it’s not necessary for everyone to be able to get at all the data your company owns.
Ensure that each of your employees has access only to the data that’s necessary for them to perform their duties. The great thing about Office 365 is it lets you conveniently set different levels of permissions based on user roles.
Watch out for insider threats
It’s wise to consider everyone in your organization when it comes to auditing data access permissions – and that includes system administrators who may have master access to every element of your network infrastructure.
A rogue administrator is the stuff of nightmares, since their elevated position gives them much greater leeway to siphon off valuable data without being noticed – or even to allow others to conduct questionable business and bypass the usual built-in security precautions. You can mitigate this risk by monitoring your administrators’ data usage and activities.
Use machine learning to foresee security breaches
Every action performed by your staff within Office 365 is automatically logged, and with relative ease you can create detailed activity reports. But the sheer number of events taking place within Office 365 in the course of your business’s normal operations means that even attempting to identify questionable behavior will be akin to finding a needle in a haystack.
That’s not to say it’s unwise to be on the lookout for anomalies in normal usage – the export of unexplainably large volumes of data, for instance, could suggest that a member of your team is leaking intelligence to a competitor, or that they’re about to jump ship and take your trade secrets with them.
To make things easier, machine learning technologies can identify potential breaches before they happen by analyzing large swathes of data in seconds. Graph API is incorporated into Office 365, and allows for the integration of machine learning tools into your security environment to achieve just that. The same tools can also help you avoid being caught unawares by hackers, by identifying system login attempts from locations that are out of the ordinary.
By following these tips, you’ll be able to enjoy the powerful collaborative features of Office 365 while ensuring the robust security your business demands. To find out more about how we can help your Office 365 migration run smoothly, just give us a call.
Published with permission from TechAdvisory.org. Source.
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