Artificial intelligence technologies, or otherwise more commonly known these days as AI, are empowering professionals to better make sense of the vast amounts of digital data that are being collected by modern information systems. More importantly, these technologies are increasingly being deployed in ways that help humans with routine tasks. That means as an enterprise tool, AI can be deployed in ways that increase service, decrease costs, expedite delivery, and improve accuracy.

As I have written about several times already, in a tight economy, companies that can differentiate themselves on service and reliability, while managing costs, will thrive, and even prosper.

There’s no question that there is a lot of speculation about how AI and AI-automated tasks will change the future of many industries. A new report from Technavio indicates the global AI market will climb $75.5 billion from today until 2023.

Technavio also says a lot of this growth will be driven in part by the need to boost employee productivity. And that means helping employees complete vital tasks more efficiently than humans can do so by themselves.

AI can also indirectly increase employee productivity by taking other tasks off their plates. It can help prevent fraud and cyberattacks. When employees aren’t dealing with the fallout from security incidents, they’re free to do their jobs.

In addition, we often think of how AI can be applied to workflows and tasks, but it can also boost employee productivity by generating data on human performance and providing customized insights to managers and human-resource departments.

Most managers recognize that a happy, healthy employee is the most productive employee, and therefore, leveraging technology to help companies track performance and encourage health-related goals can also indirectly improve the bottomline.

According to the American Psychological Assn., 61% of all Americans are stressed at work. Employees that are stressed out at their job have an opportunity to turn to AI to help them manage stress.

What can it do for people in the workplace? Companies need to think of ways to use AI beyond just automation. That means looking beyond how it’s going to automate away some of the jobs, but how it is going to help people too.

The workplace is changing thanks to technology, and the old model of work won’t necessarily apply in the future.

Employees will be no longer be working a typical 9-5 day. More and more companies will be encouraging employees to stop doing tasks that should be automated. And thus, if companies care about employee retention, they’ll be taking part in employee health and wellness programs that leverage technology.

The next area companies are facing is ethics in AI. More specifically, how can we make sure AI is human-centric and socially beneficial? Should AI augment human intelligence, or should it be able to develop its own style of thinking? How can we make sure AI systems are fair in their decisions?

Because we need to keep in mind where jobs are lost, jobs are created. How about the idea of human-to-human interaction with all of this?

Simply, companies are creating a new way of working in automation. Every time new technology comes out, it will displace; but it will always create. Employers have to look to the greater good. With AI, we can’t look behind. We always need to look forward. The more we do, the greater the good for the positive disruption.

The more we will see how AI will create positive digital disruption good things occurs. When we do that, we’ve created so much more for future generations because they are the ones who are going to create more connected things to make our lives better.

We always fear change until we see the good that comes from change. Initially, AI is going to force companies to reevaluate their technology path as jobs are disrupted. We do lose jobs, but we also gain jobs as well. And those are the ethical considerations we have to think about. We have to think about what kind of interference we’re creating, but then what positive change gets created.
When we’re looking at all of this machine intelligence that we’re gathering, we’re looking at everything. But then we have to look at all of these great companies from Amazon, Facebook, Google, Twitter, to whoever’s involved in all of this, even Uber and Lyft. Everybody that’s involved has to work openly, fairly, together, and figure out how all of this technology comes together.

Finally, it’s time to consider all the newcomers we haven’t even thought about who are going to take AI beyond our greatest imaginations.

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