Science fiction shows artificial intelligence to be an entity compelled purely by logic, driven only by objective facts. AI tools used by businesses and in the real world, however, are a far cry from this perception. AI systems have some biases in their operations. Let’s take a look at some of them and how you can resolve these issues.
Artificial intelligence, or AI, is a technology that many industries have found themselves benefiting greatly from, especially in the domains of cybersecurity and automation. Unfortunately, for every one great use of something, hackers will find two bad uses for it. AI has dramatically changed the landscape of cybersecurity and, more interestingly, cybercrime. Let’s take a look at why these threats are so concerning.
Businesses need all of the advantages they can get against threats, especially considering the fact that many of them adapt and evolve in response to advances in security measures. Some security researchers are seeing great success with artificial intelligence measures, a concept that could eventually become the future of network security in the business world.
If you are concerned about your business’ ability to keep its network secure and data protected, you're not alone. More businesses than ever are utilizing modern strategies to ensure that their networks are safe, their hardware is stable, and that their data stays secure. With the continual shifts we are seeing in the threat landscape it is essential that cybersecurity continues to evolve. Today, we take a look at some of the innovations being made in cybersecurity, and what to expect out of future cybersecurity tools.
Today, large companies typically use their data to help them make more educated business decisions. This strategy can actually benefit smaller businesses as well. However, they often don’t think they have enough data to facilitate analytics or BI (Business Intelligence) platform. Let’s take a look at how small businesses can use their big data.
A.I. is one of those technologies that captivates the imagination with endless possibilities. You can’t turn your head these days without using something integrated with early artificial intelligence. Machine learning platforms, which are very rudimentary forms of A.I. are now being used to improve many of the tools a small business uses. Today, we will briefly go into what machine learning is and how small businesses are using it to their advantage.
Virtual assistants are some of the most common technologies out there, which is kind of a strange thing to say. With mobile devices taking over the personal and professional lives of users, we suppose it’s natural that virtual assistants have flourished in today’s workplace. What are these assistants, and what are they capable of?
Figuring out how to utilize platforms that depend on machine learning to boost an organization’s bottom line is one of the biggest puzzles for every modern business owner. After all, seemingly every new technology concept can be leveraged into enhanced profitability if it is rolled out right. In this case, many organizations have found ways to use human-created machines to learn how to do tasks that would be deemed too expensive if humans were to do them.
The notion of artificial intelligence has played out in fiction, on the silver screen, and on the small screen for decades. Instead of having sentient cyborgs that enslave humanity, people are using A.I for our benefit. Today, we take a look at the A.I. of 2018 and how your business can leverage it for your benefit.
2017 saw the rise of many great technology solutions for small business, including an explosion of popularity in business intelligence, artificial intelligence applications, and machine learning. Meanwhile, other established technologies have continued their domination of the industry. What can your organization look forward to seeing on the forefront of the small business technology race in 2018?
Man matching wits with computer isn’t new territory. In 1830, a locomotive raced a horse to see which was superior in terms of speed and distance. 1956 saw the first time a human played chess against a computer. Today, the time has come when an artificial intelligence has begun to break into a new territory that was dominated by humans for thousands of years: crime.
When it comes to cybersecurity, maintenance is key. Whether you choose human-based security or an automated security solution, running into shortcomings is still possible. Human security tends to rely on the word of experts, and anything that doesn’t fit into the guidelines is missed and may therefore get through and wreak havoc. Network security can be a touch overzealous, in a way “crying wolf,” with an excess of false positives that ultimately require human analysis, leading to human frustration.