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Finance is probably one of the first fields to adopt innovations. These days, IoT, AI, and blockchain are the technologies reshaping multiple industries, especially FinTech. AI solutions attract immense investments and for the right reasons. Analysts have counted that Artificial Intelligence is going to save the industry more than a trillion dollars (!) through the year 2030.

How exactly are financial institutions planning to leverage AI? Is it already a part of the processes? Skelia dug into this issue.


Source de l’article sur DZONE (AI)

Have you ever thought about how your mail inbox is so smart that it can filter Spams, label important emails or conversations, and segregate promotional, social, and primary messages? There is a complex algorithm in place for this kind of prediction and this algorithm comes under the wide umbrella of Machine Learning. The formula looks at the words in the subject line, the links included in the mail, and/or patterns in the recipient’s list. Now, this method is definitely helping the business of email providers and such predictive (as well as prescriptive) algorithms can help all kinds of businesses. But first, let’s define exactly what Machine Learning (ML) is.

What Is Machine Learning?

Simply put, ML is all about understanding, mostly hidden, data and statistics and then mining meaningful insights from this raw dataset. The analytical method that uses algorithms can help solve intricate data-rich business problems.


Source de l’article sur DZONE (AI)

Chatbots are obtaining appeal in all the industries of Service Industry. A chatbot is a computer system program that mimics human discussions and is powered by Artificial Intelligence. Organizations are adopting chatbots to provide customer support and jobs as understanding assistants as well as organization experts. The insurance policy sector and chatbots work together. Chatbots are aiding companies to streamline communication processes and also market products and services.

Chatbots supply a basic platform to access information related to an insurance policy and also get to millennials with the medium they are most accustomed to. Nowadays, products are complex and have numerous variations. Solutions are frequently customized in accordance with an individual’s demands, and chatbots get rid of human participation as well as secure the procedure. Chatbots lower the workforce in phone call centers, which assists the company to reduce overhead costs.


Source de l’article sur DZONE (AI)

2017 has been a remarkable year for digital transformation. Machine learning, AI and Big Data are some of the technologies that dominated 2017. Advancements and enhancements in these technologies will continue for coming years – but what can we predict for the IT industry in 2018? Will AI prove to be a job creator or a destroyer? Will global tech-giants have to self-disrupt to shape their new leadership opportunity? Will 2018 prove to be a slow death for IT specialists?

Today, tech innovations arrive faster than most of the enterprises can cope up with. All too often, before one innovation is embraced and implemented, other two appear on the horizon. To cope with these endless innovations, CIO’s of the enterprises must pursue and excel the role of a business strategist first and secondly as a technologist, thereby developing an appropriate pace for the digital transformation.

Source de l’article sur DZone