Small businesses seemingly always need to take a long look at the way they do things because they need to be as efficient as possible to carve out a market share. This often means using technology to make everything work. There are many different types of technologies that can help any SMB build more efficient operations, but the two we will outline in today’s blog, are two technologies that are probably doing the most to help SMBs improve. 

By now, you’ve probably started hearing a lot about AI and how it’s doing a lot of things to disrupt the world. It seems like every modern software application boasts AI capabilities, social media feeds are plastered with generative AI content, and techy people everywhere are providing their two cents on this new technology. The main star of artificial intelligence right now is ChatGPT, so we figured we’d shed some light on exactly what it does in plain English, and how you might be able to take advantage of it.

Artificial Intelligence is beginning to sweep over modern computing and it can present some stark benefits for a business. AI has been deployed in various ways to help streamline your operations. Let’s look at five ways AI is helping businesses be their best.

Maintaining network security has proven to be more difficult for organizations as time has gone on. Like the people trying to keep them out of networks they don’t have access to, hackers are increasingly using artificial intelligence (AI) to enhance their cyberattacks and achieve various malicious objectives. Here are some ways in which hackers are using AI.

Technology can be a huge benefit or an annoying hindrance for a business. It really depends on how it is maintained or used. Just like the PC in the 1980s, Internet access in the 1990s, and the advent of social media over the past decade or so, there are a couple interesting technologies that, if properly used for business, can bring substantial value for workers, customers, and the organization as a whole. Let’s take a look at three of them.

In recent years, artificial intelligence (AI) has emerged as a powerful tool that can revolutionize small businesses. With its ability to analyze vast amounts of data and make intelligent decisions, AI has the potential to streamline operations, improve customer service, and drive growth. Let’s explore some practical applications of AI that can benefit small businesses and help them thrive in today's competitive landscape.

Artificial intelligence is becoming an integral technology for modern businesses, but you can’t just roll up to the AI store and get some AI. The machine learning algorithms that make up modern AI are integrated into the software that your business relies on. Microsoft, long known for being amongst the top business computing companies, has begun to integrate AI into their software. One place that most businesses will get first-hand experience with this technology is through their Microsoft 365 subscription. We will introduce you to Microsoft Copilot and what benefits it ultimately brings users. 

We get it: you’d expect to read the statement “AI is everywhere nowadays” as a science fiction story about the enslavement of humans by the very machines they’ve created. We aren’t quite there yet, but more and more humans are coming to rely on artificial intelligence to automate a lot of different tasks inside their businesses. Let’s take a look at what people are actually using AI for. 

Artificial intelligence, or AI, is just one way of describing the concept of machine learning technologies. AI has grown considerably over the past couple of years, so much that automation as we know it today wouldn’t exist without it. Throw in some data-driven insights and you have a technology that has cemented itself for use in a business environment, but there are some concerns with how fast it is growing and evolving.

To Identify Trends

The number one thing you need to know about data analysis is that the data you use needs to be structured in a way to allow you to get the most accurate information possible. This isn’t always easy. In order to put your business in the right position you can’t just rely on decision makers to go with their gut reaction, you need a definitive plan fueled by empirical data so that you avoid huge costs to solve small problems. The simplest way to do this is to identify trends inside and outside of your business. You can do this through a dedicated business analytics platform, using your organizational data to help you make sound business decisions. 

Improving Operational Effectiveness

Another part of the business that can be improved through the use of analysis is operations. Traditionally, the more efficient your business is, the more effective it is. This doesn’t change because you have data; but, with the data you can get a better perspective about how your business works, how your customers interact with your company, and a lot more. The better you understand the separate parts of your business the more you can confront its pain points and build effectiveness. 

Shifting Your Revenue Generation Strategies

Since you are in business to make money, it stands to reason that using any resources to help you do that is beneficial for the company. Combing through your operations and marketing data can provide opportunities that you didn’t know were there. It can make all the difference for the small business that needs to transition quickly in order to sustain operations. 

It’s been said that data is the new oil. That may or may not be true, but for the small business, drilling into your data to see the best way forward is a solid practice that will become commonplace before long. To get out in front of it, call the IT professionals at Coleman Technologies at (604) 513-9428 and we will help you get started using your data to benefit your business today.

Some of the best cybersecurity methods are practices developed over the past few years. This is because social engineering, specifically phishing, has become a major problem. There are billions of phishing emails sent each year, and some of those are so convincing that even people who have had some basic cybersecurity training fall victim to them. To fight this, security firms have started to look to tomorrow’s technologies to help them mitigate risk today. 

Artificial Intelligence - The Future of Cybersecurity 

One of the most effective ways of combating this rise in hacking is to use the most dynamic technology you have access to and make a tool that will help you mitigate the massive risks. One way is to reduce the effectiveness of these hacks. In this case the technology is artificial intelligence.

When we talk about artificial intelligence, we are talking about having a machine that learns as it is continually exposed to threats. This will work to solve common issues at first, but as these systems advance, and are exposed to user behaviors, they will be able to replace access management systems. Since the AI will be constantly monitoring systems, as well as user behaviors, workplace roles, and common actions, it will be able to recognize a person without, the need for password-protected accounts and creating ubiquitously secure endpoints. If the system recognized any deviations, an additional form of authentication such as biometrics would grant or deny access. 

Cost will initially be a factor for businesses, especially small and medium-sized businesses, but as large companies begin to truly trust these platforms, they will have viable endpoint-protection systems for small businesses. 

Cybercrime Accelerates with 5G

5G and beyond will bring a lot of changes to the user experience, of course, but it will also make huge changes to cybersecurity. Before long, the AI systems that are being developed to thwart today’s cyberthreats will become essential systems for the sustainability of mobile computing. Just think about how much cyberthreats have multiplied over the past decade after the jump from 3G to 4G. The jump to 5G isn’t going to any less dramatic.

It will be crucial for cybersecurity professionals to be able to leverage systems that are both ubiquitously available to search through large streams of data while also being capable of learning on the fly in order to ascertain what data is potentially malicious and what data is less so.

Luckily there are still years before these types of systems will be needed. Unfortunately, there are enough threats out there to be a major problem going forward. The IT professionals at Coleman Technologies can help you protect your hardware and data. Give us a call at (604) 513-9428 today!

Smarter Machines?
The first thing you have to understand about machine learning is that it is just a branch of A.I. As such, it basically describes a method of analyzing huge amounts of data in which prospective models of problem solving are automated. In layman’s terms, the computer solves basic problems without human intervention. This is significant for a few reasons, but the most glaring is that businesses today, and even small businesses, take in a lot of data. Traditionally, humans were paid to go through all this data, or it was archived and disregarded until there was a major question.

This shift is in the manner in which these machine learning systems analyze data, identify patterns, and make decisions from the analysis of those patterns.This seemingly advanced technology is being deployed at a dizzying rate and is beginning to surround us all, in our phones, on search engines, and in the systems that we manage our business data. For the small business, there are opportunities to utilize this technology to help carve out a larger market share.

Small Business Machine Learning
The philosophy behind utilizing machine learning for a business is just an extension of the overarching strategy of deploying automated systems to cut down on personnel and human resources costs. This strategy has worked in several sectors, albeit with automated systems that were more pre-programmed than “smart” like the machine learning systems.

An issue many small businesses will run into when deciding whether or not to try and innovate to the point where machine learning is an option, is where exactly it fits. Other questions persist as well. They include:

• What is the capital and operational investment of deploying this technology?
• How it will have to be utilized to provide a competitive advantage?
• What systems can be improved through the use of machine learning?
• How much time do you have until you would be at a competitive disadvantage if you didn’t invest in the technology?

Once you’ve ascertained how exactly to deploy machine learning, you can go ahead implementing it where you feel it is warranted.

Benefits of Machine Learning
A.I. and machine learning carry with it specific benefits. Some of them include:

• Forecasting business - What might be the most popular use of machine learning, the technology can be used to replace data and service analysis while being used to replace processes that were done manually or not done at all.
• Customer service - Chatbot technology essentially automates the customer service experience by directing customers to certain solutions based on query.
• E-commerce - Rolling out machine learning for your e-commerce site helps customers by adapting to customer behavior. Giving prospects and customers easy access to obtain the the products and services they are most interested in is sure to improve revenue generation.
• Reputation management - Machine learning can be set up to analyze internal and external data sources to monitor brand popularity. When it finds negative sentiment, you can use the information provided to smooth the situation over, fast.

These are only four of the many processes that can really help improve your business. As the technology improves, more A.I. and machine learning applications will be used to manage, maintain, and streamline a lot of your business’ slow-moving manual processes.

Machine Stupidity
These technologies are extremely advanced and are programmed to learn for themselves, so oversight of them may be difficult. If you are one of the many business owners that have a difficult time trusting technology, machine learning may not be for you. These constructs tend to be less predictable than typical analysis, because it is so thorough. Also, you may run into problems getting all of the data that needs to be analyzed into the system, providing results that may not be accurate for your entire business.

One could see how a small business owner can be in ‘wait and see” mode, but the problem with that strategy, however, is that your competitors may be using it now to improve their business. If you are interested in learning more about how this emerging technology can be used to make your business better, contact the professionals at Coleman Technologies today at (604) 513-9428.

Part of the problem for many healthcare institutions is that there is a staggering amount of physical documents that are used to keep track of patients, processes, and procedures. As reported by SiliconAngle, Dr. Vasi Philomin of Amazon Web Services claims there are 1.2 billion medical documents created every day in the healthcare industry, in the United States alone. With so many documents, it’s no surprise that it’s difficult for people to manage them.

And what’s a way to take out the menial tasks done throughout the workday, or organize countless documents accumulated in a collection that is impossible for humans to go through on their own? That’s right--artificial intelligence. While it might seem like a weird way to use A.I., it is certainly a viable option, and one that industry professionals are considering to boost efficiency of care and ease of use.

The Health Insurance Portability and Accountability Act (HIPAA) complicates this issue, but Amazon Web Services is hoping to challenge this with new initiatives. A service called Academic Comprehend Medical aims to help narrow down candidates for clinical trials--something that is impossible without the help of computers and artificial intelligence. Of course, this is only a small amount of what could be accomplished through the use of A.I. in the medical industry, so the future could potentially be very bright for any organizations that utilize this technology.

You can count on Coleman Technologies to keep our fingers on the pulse of any interesting technology developments in the industry. For more information about healthcare solutions, call us today at (604) 513-9428.

To get the most out of A.I., we first need to understand why A.I. seems to be the likely answer to a lot of troubles surrounding network security.

What Makes A.I. So Helpful?
Automated systems might be able to help organizations protect a network to a certain degree, but there are a lot of reasons to be cautiously optimistic about their inclusion in modern network security. Considering the lack of technology education in today’s business environment, it can be difficult to acquire the skills needed to protect against high-level threats and implement necessary security solutions. This doesn’t change the fact that security is more important than ever before, though, as more devices are being introduced to networks every day. The more devices, the more likely threats are to surface, and the more difficult it is to protect networks. A.I., backed by algorithms to detect threats, has the potential to improve network security, as well as make the jobs of internal IT departments much easier.

Of course, there are several reasons why A.I. for network security isn’t the best solution. Here are a few of them.

Considering How Threats Are Detected by Artificial Intelligence
How does A.I. detect threats? Even if machine learning gives these solutions the ability to learn over time, it has to start somewhere. A.I. initially identifies threats based on algorithms assigned to them. According to the MIT Technology Review, A.I. is essentially “trained” to detect threats based on tags assigned to specific data sets. The unfortunate side-effect of this is that the programs can essentially be reverse-engineered by hackers if they get ahold of them, effectively giving malware developers the ability to create threats that aren’t identifiable by the majority of automated systems.

Overreliance on a Single Method
With only one way to detect threats, A.I. is quite vulnerable to being exploited, as hackers can simply turn that into their own advantage. This is why it’s so important to have multiple algorithms to detect threats, as only one isn’t going to be enough to keep all threats out of your network. Consider this hypothetical scenario: your office hires a single security guard that keeps watch over the front door of your building. There are no other guards on-site to protect the building, and you don’t have security cameras. While nobody is getting in the front door, what about the other entry points? It’s a simple fact that one algorithm is easily exploitable and far from an ideal security situation.

Coleman Technologies can help your business determine the best security solutions on the market, and they can be combined with our expertise and active monitoring to ensure data security from a variety of threats. To learn more, reach out to us at (604) 513-9428.