How machine learning APIs are impacting businesses?

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In this Digital age, every organization is trying to apply machine learning and artificial intelligence to their internal and external data to get actionable insights which will help them to be closer to today’s customer.

A few years back it was the field only for data scientists and statisticians, who used to analyze the data, apply several techniques and provide results.

Today many of the organizations are using APIs to access the ready-made algorithms available in the market as they make it easy to develop predictive applications. In fact, you don’t even need to have an in-depth knowledge of coding or computer science to introduce them into your apps.

APIs provide the abstraction layers for developers to integrate machine learning into real-world applications without worrying about which technique to use or how to scale the algorithm to their infrastructure.

These APIs can be categorized broadly into 5 groups:

  • Image and Face Recognition: It understands the content of the image, classifies the image into various categories, detects individual objects and faces, detects labels and logos from the images.
  • Language Translation: Translate text between thousands of languages, allows you to identify in which language any text that you need to analyze was written. Some APIs allows organizations to communicate with the customer in their language.
  • Speech Recognition and Conversion: Today most of the customer service is handled byChatbots with underlying APIs helping simple question and answer. Speech to text APIs are used to convert call center voice calls into text for further analysis.
  • Text /Sentiment Analytics using NLP: With the rise of Social Media, consumers easily express and share their opinions about companies, products, services, events etc. Companies are interested in monitoring what people say about their brands in order to get feedback or enhance their marketing efforts. These APIs can identify, analyze, and extract the main content and sections from any web page. They further help in to analyze unstructured text for sentiment analysis, key phrase extraction, language detection and topic detection. There are some tools also helps in spam detection.
  • Prediction: These APIs, as the name suggests helps to predict and find out patterns in the data. Typical examples are Fraud detection, customer churn, predictive maintenance, recommender systems and forecasting etc.

Google Cloud, Microsoft Cognitive Services, Amazon Machine Learning APIs & IBM Watson APIs are the leaders in the market.

With growing number of free/reasonably priced APIs and tsunami of data generated every day, the race is on as to which is the best Machine Learning API.

These machine learning APIs are not yet perfect or matured and they will take some time to learn and act accurately. But they allow faster time to market-based on ready availability, rather than asking data scientist to code the algorithms.

In future, machine learning will lead to revolutions that will intensify human capabilities, assist people in making good choices and help navigate through the world in powerful ways, like Iron Man’s Jarvis.

Sandeep Raut

7th Rank in Global Top 100 Digital Transformation Influencers Delivered speech at India Analytics & Big Data Summit at Bangalore on "How Machine Learning is helping in Digital Transformation" on 4th Feb 2016 Delivered Thought Leadership speech at Unicom - India Analytics & Big Data Summit on "Big Data Analytics disrupting industry" Delivered speech at IIT Mumbai on "Analysing Big data for disruptive innovation" Delivered a keynote speech at Rizvi College of Engineering on "Fraud Detection & Prevention using Analytics" • Director for Digital Transformation in Syntel. • Has more than 29 years of IT Services / Consulting / Off-shoring experience • Over 18 years in Business Intelligence space. • Had helped organizations in establishing the BI-Analytics Services CoEs. • Had spearheaded several marquee accounts and was significantly instrumental in building new business for the practice as well. • Had successfully initiated, mentored & deployed various strategic consulting services & solutions like Digital Transformation, BI Strategy Planning, BI Offshorization, BI Development/Deployment, Campaign Management, Inventory Optimization which resulted into multi-million dollar business. • Had developed & managed Customer relations with Global players across USA, UK & Asia Pacific. Specialties: Digital Transformation, BI & Big Data Analytics Banking and Financial Services, Healthcare LifeSciences, Insurance, Retail Manufacturing - Supply Chain Management

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