5 Examples of Machine Learning

Machine learning is a subset of AI systems that has become an essential tool for many. The phrase is used to describe the process of a programs ability to learn without being explicitly programmed. Essentially, we are talking about programs that write themselves.

Financial

Investment firms, traders and hedge funds are using machine learning to create artificial intelligence with the ability to predict when the market will rise and fall. After making predictions these programs then automatically buy and sell based on those predictions. Rapidly implementing strategy faster and more accurately.

Marketing

More data than ever before is being collected about peoples personal lives. Between mobile devices and social media we are generating over two and a half quintillion bytes of personal data every day. Marketers are using that data to find and identify buying patterns, media preferences, dislikes, and preferences. The content and placement of advertisements is being customized using machine learning to find the optimal times, place and way in which to introduce their products to new customers.

Health

Machine learning is being used in the medical field to identify and treat illness much earlier than before. Early detection systems are trained just like other machine learning systems by training the program with tens of thousands of examples.

Automotive

Smart cars, driverless vehicles and data collection systems fitted on our driver operated vehicles are playing a role in collecting huge amounts of data about driving conditions, hazards, patterns and behaviors. As we transition to vehicles which are more connected to each us, each other, and the world around us that data will continue to grow. Wherever there is a lot of data there is an opportunity to use it and despite the already obvious impact machine learning is having on driverless cars we are only scraping the tip of the iceberg.

Security

Data security firms are making use of machine learning to analyze and react rapidly to cyber attacks. Being able to identify the signs of an attack and implementing quicker responses could prevent or neutralize many common threats including ransomware and malware.

Every avenue of technology in our society is growing and evolving. The impact of these technologies is changing all of the time. The near future holds a lot of possibility and machine learning is just one of the technologies that is making a widespread global impact. In the next decade machine learning is expected to be a part of almost every industry. The question isn’t “if” but “how” will your industry use it?

Three reasons why the cloud is more secure than your legacy systems.

New things can be scary. Especially with the way we handle our data. Before embracing a new platform, feature or technology we tend to worry at first. When it comes to cloud computing it isn’t any shock that the same thing seems to be true. Despite the fact that more than half of small to medium sized businesses use the cloud for storage there is still a good amount of confusion and even some uneasiness.

Security

This is the first of a few concerns people often have. A legacy system can be historically hard to access and because of its limited access, often hackers were blocked from getting into the system unless they were specifically on site. Today many companies use them in tandem with cloud infrastructure and backup services. This means that those systems which were previously secure because of their limited access are now often easily accessible. Its flaw was once its best feature and today that feature has vanished out from under you. A locked door is no longer the only access point to these systems.

Cloud providers like ASPnix have physical data centers with armed security, redundant backup systems, cameras, and more. All activity is monitored and only authorized personnel come and go.

Limited Access

Cloud data is stored at a data center which keeps it geo-located separately from the data you have at your office. This means its more difficult to get all of the pieces of a puzzle and makes mission critical data harder to put together with stored cloud data. Human risk decreases and its harder for anyone to stumble onto data that can be used negatively.

Cyber Security

Due to the nature of things, obviously your information is more secure when you have professionals watching over it. ASPnix provides free antivirus, hardware firewall and other nice security features that can help keep you safe.

Backup

Redundancy is key and backups, power systems, accessibility all need to be 100%. Trusting professionals in a datacenter is a great way to have your cake and eat it too. Limiting the amount of responsibility on your part while also getting a better way to store your data, more accessibility without costing you more money.

To sum up what I am saying. Migrating to a cloud option with a company like ASPnix is a great way to save money, get more out of your data, have better access to your data, control how it can be accessed easily, increase your security and to make sure it stays backed up without dealing with the hassles and issues and threats you may have with your legacy systems.

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