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.
What is Artificial Intelligence
Today’s world is filled with data. All the experiences and thoughts humans have produced over centuries have provided somewhat of a record of what is expected from A.I. After all, if humans are going to replace workers with machines, ensuring they can do the jobs as (or more) efficiently is going to be important. For now, however, A.I. is being utilized in conjunction with people--trying to make our world better by making the applications and services we depend on more intuitive and efficient.
At one time there were the American Titans of Industry. Today we have Titans of Technology, and not one of them isn’t completely fascinated by the practical applications that artificial intelligence (in some fashion) can have for humanity. The thing standing in the way from all this glorious A.I.-fueled innovation, of course, is humanity. It seems every so often there is a report that is written suggesting that millions of workers can now be replaced with machines, and in the interest of shareholder profits, any business that has been able to leverage A.I. and increase its profitability has gone ahead and done so, often against public sentiment.
One study predicted that 47 percent of all jobs could be automated by 2033. That’s only 15 years off. If you’re looking for some current statistics, another report found in 2016 that up to nine percent of all workers are now unnecessary. Yet another suggested that 800+ of the largest businesses in the world, will cut between four and seven percent of their workforce and replace them with more efficient and less costly artificially intelligent machines.
How Your Business Could Use A.I.
You use A.I. every day without even thinking about it. Every time you use Google. Every time you use Uber or Lyft. Every time your email sends an incoming email to spam. Even as people all look forward to an inevitable permanent vacation as a result of A.I., it can be extraordinarily useful for the smaller business. Here are three ways even the smallest of businesses can take advantage of the growing A.I. market.
How has your business been able to utilize artificial intelligence? Do you foresee using A.I. in any capacity going forward? Leave your thoughts below and return to our blog for more great technology-related information.
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.