AI News, A.I. Offers Jobs Beyond Data Science artificial intelligence

A.I. Offers Jobs Beyond Data Science

Tech professionals almost reflexively associate artificial intelligence (A.I.) jobs with data, and with good reason.

100,000 American employees for a more tech-based workplace, the company said that over the last five years its fastest-growing jobs have been spawned by systems that gather, process and analyze data.

of data mapping specialists Amazon employs increased by 832 percent during that

the number of data scientists grew 505 percent, and the number of business

class of products that will require humans to build, maintain and deploy,”

require a human to interpret, challenge and distribute results in the human

of the best opportunities lie not in data science or the software development

functional systems are driving demand for new types of expertise.

to grow on all fronts, the data model farms he describes are sure to expand

alternative data models while the current ones are running, so when the tire

Now they use 40.” Businessexecutives, Willaman points out, usually think in terms of problems to solve rather

should be pieced together to “get the job done that we’re trying to do,” he

That’s why more solutions providers are producing technologies to make complex information and sophisticated computing capabilities more accessible.

For example, said Omer Biran, SAP’s head of conversational A.I., customers want “‘conversational UX experts’ who understand their business and can ‘conversationalize’ the interactions users have with services and products the customer creates for their [own] users.” And, Berjikly adds, many

Webinar Wrap-up: How to Build a Career in AI and Machine Learning

AI is getting even more traction lately because of recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding.

But AI has been a sound career choice for a while now because of the growing adoption of the technology across industries and the need for trained professionals to do the jobs created by this growth.

However, it is also forecasted that this technology will wipe outover 1.7 million jobs, resulting in about half a million new jobs worldwide.

It’s software that learns similar to how humans learn, mimicking human learning so it can take over some of our jobs for us and do other jobs better and faster than we humans ever could.

Consumers use AI daily to find their destinations using navigation and ride-sharing apps, as smart home devices or personal assistants, or for streaming services.

In addition to the development of machine learning that leads to new capabilities, we have subsets within the domain of machine learning, each of which offers a potential area of specialization for those interested in a career in AI.

If you’re intrigued by this career field and wondering how to get started, Van Loon described the learning paths for three different types of professionals;

He also points out that different skill sets are required by different industries, but all working in AI should have good communication skills before addressing the math and computing skills needed.

To cross that bridge from data scientist to machine learning, you should know how to prepare data, as well as have good communication skills and business knowledge, and be proficient at model building and visualization.

With the innovation we will see in the coming years, we can’t even imagine what will develop, but we do know we already have a shortage of trained AI and machine learning professionals, and that gap will only grow until we get people trained and placed in the millions of AI jobs.

You found a home in the military. We think you’ll feel the same way about us.

At Bank of America, our commitment to diversity and inclusion is helping us to create not only a great place to work, but also an environment where our employees, our customers and our communities around the world can reach their goals and connect with each other.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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