Faster, Smarter and Efficient

Eighty percent of enterprises are investing in AI today. Sixty-two percent expect to hire a chief AI officer in the future, according to the latest research by Vanson Bourne.

Gartner projects that by 2021, 40% of new enterprise applications will include AI technologies like neural networks, and predictive and machine learning models.

Most importantly, the rise of AI is not just another trend. The reason for it is deeply rooted in the market’s need and its boundless potential to improve customer experiences and organizational profitability and efficiency.

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Use Cases

Recommendation Engine

Suggesting products and services based on purchase history, experiences, location, promotions and context.

Natural Language Processing

Cognitive assistance based on social, work networking. Analysing large volumes of numerical data and presenting them in a readable manner.

Image Recognition

Creating city guides. Boosting augmented reality applications and gaming. Organizing visual memory. Improving iris recognition.

Zillow

The website has used machine learning to improve accuracy of its price estimate tool. Now with 110 million homes, they’ve driven the accuracy down 
to about 5%.

Deep Learning

Voice Recognition, Voice Search, Skilled Robotics & Labor Automation, Predictive Deep Learning.

“Every day, new examples are coming out of new problems being solved and old markets being disrupted by what is collectively called “Artificial Intelligence.” Enterprises that do not have an AI strategy would be wise to start working on one straight away.”

CIO Magazine, Nov. 3, 2017

What is Artificial Intelligence?

AI-based software solutions, like machine learning models, can help your organization automate the operations of virtually any department.

It includes streamlining your customer service with chatbots, boosting loyalty rates, maximizing your revenues with sales intelligence and predictive analytics to improve your marketing ROI. Then there’s brand management, data insights, fraud detection and so on.

“AI has become even more mainstream in the past 18 months. People realize it’s real. The things people have talked about for decades are here and are now available for anyone who wants to embrace them.”

Chris Williams, Chief Architect, IBM Watson

How Can AI Transform Your Organization?

AI-based software solutions, like machine learning models, can help your organization automate the operations of virtually any department.
It includes streamlining your customer service with chatbots, boosting loyalty rates, maximizing your revenues with sales intelligence and predictive analytics to improve your marketing ROI. Then there’s brand management, data insights, fraud detection and so on.
Some more concrete examples include:
Under Armour

The company improved sales dramatically by combining user data from its Record app with third-party data and research to deliver personalized training plans.

PayPal

The payment company has eliminated an average loss of $10 million a month worth of fraud by using advanced machine learning algorithms to identify fraudsters.

Bank of America

BoA chatbot helps customers perform routine banking transactions while offering simple insights on improving finance management.

Zillow

The website has used machine learning to improve accuracy of its price estimate tool. Now with 110 million homes, they’ve driven the accuracy down 
to about 5%.

Cleveland Clinic

The hospital has used machine learning to monitor patients and prevent patient emergencies before they occur, by analyzing data for key indicators.

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