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15 Business Applications For Artificial Intelligence And Machine Learning

15 Business Applications For Artificial Intelligence And Machine Learning

Understanding how artificial intelligence () and machine () can benefit your business may seem like a daunting task. But there is a myriad of applications for these technologies that you can implement to make your life easier.

copyright by www.forbes.com

SwissCognitiveThrough and , your business will benefit as it becomes more efficient at its operations and eliminates those mundane tasks that seem to be slowing you down. Additionally, -powered tools and automated systems can help your company improve the use of its resources, with visible effects on your bottom line.

Fifteen members of Forbes Technology Council discuss some of the latest applications they’ve found for / at their companies. Here’s what they had to say:

1. Powering Infrastructure, Solutions and Services

We’re leveraging / in our collaboration solutions, security, services and network infrastructure. For example, we recently acquired an platform to build conversational interfaces to power the next generation of chat and voice assistants. We’re also adding / to new IT services and security, as well as hyper-converged infrastructure to balance the workloads of computing systems. – Maciej Kranz , Cisco Systems

2. Cybersecurity Defense

In addition to traditional security measures, we have adopted to assist with cybersecurity defense. The system constantly analyzes our network packets and maps out what is normal traffic. It is aware of over 102,000 patterns on our network. The wins over traditional firewall rules or AV data in that it works automatically without prior signature knowledge to find anomalies. – John Sanborn , RAA – Financial Advisors YOU MAY ALSO LIKE

3. Health Care Benefits

We are exploring / technology for health care. It can help doctors with diagnoses and tell when patients are deteriorating so medical intervention can occur sooner before the patient needs hospitalization. It’s a win-win for the healthcare industry, saving costs for both the hospitals and patients. The precision of machine can also detect diseases such as cancer sooner, thus saving lives. – Adam Bayaa, Heal

4. Recruiting Automation

With unemployment at historical lows, recruitment of qualified workers remains one of the most difficult challenges. By harnessing the power of recruiting automation, savvy employers are using -powered sourcing tools to find candidates who may not have been considered for roles in the past, not because they weren’t qualified, but because they weren’t surfaced in the first place. – Jon Bischke, Entelo […]

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  1. K4J

    @SwissCognitive “Recruiting automation” is not enough to improve looking for a job.… https://t.co/ry44SjM8KF

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