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Artificial Intelligence / Data Science

After a number of false starts, artificial intelligence has finally taken off. The recent popularity of machine learning has resulted in the mushrooming of successful and popular AI technologies that are being used in almost every industry. In recent past, there have been a number of occasions where machines have outperformed humans in tasks that were considered to belong to the exclusive domain of human intelligence.

Modern day industry
use cases of Artificial Intelligence

AI in Agriculture

Farmers are entrepreneurs with acres of land that need to be farmed or a livestock that needs to be kept healthy and productive. With artificial intelligence, farmers are now able to grow better crops and look after their animals while saving time and energy. Drones monitor the condition of the soil and determine

whether it needs watering or seeding, while sensors in and around cows check their health and nutrition. All of this data can be used to predict the perfect time to harvest, or to estimate total milk production in the long term. All these savings translate into cost reduction in energy, cattle feed, lighting and water.

AI in Healthcare

When it comes to AI, the healthcare sector has proven to be a forerunner. This is not surprising, as the people working in this sector are expected to save lives as fast and as efficient as possible. Medical companies are training machine learning algorithms to improve the accuracy of patient scans to better detect disease.

Machine learning is being used to predict the risk of cardiovascular disease and related impact. Machine learning is being used to help automate the process of atrial fibrillation (AFib), the most common abnormal heart rhythm. All this data could be used and analyzed to predict disease outcomes based on information about symptoms, patterns and lifestyle.

AI in Transportation

Transportation sector faces the challenge of transporting billions of people per day while reducing delays and improving commuter experience. Transporters have been using AI to predict wear and tear in their trains, trams and buses in order to avoid accidents for a long time. Seat availability, wheel chair accessibility, alternate routes, road blocks,

traffic jams, weather conditions and estimated time of arrival have been in use for a while as well. According to a study, by 2020, it is expected that 10 million self-driving cars will be on the road while there will be more than 250 million smart cars sharing the road with them. Daimler Trucks has launched an 18-wheel, fully autonomous truck last year.


Manufacturing is one of the pioneer industries in AI adoption. Capital investments are high in manufacturing and profits heavily hinge on economies of scale. This trend drove away a lot of manufacturing to low-wage countries, where the human-resource costs are marginal, and capital investment in AI and related automation was hard to justify.

China is already making significant investments in AI for manufacturing and e-commerce. Factories are autonomously being run by robots and world’s largest e-commerce business is relying on a fleet of robots for receiving, stacking and dispatching goods worth $ 23 billion per year. This is phenomenal.


Artificial intelligence, big data and analytics is increasing businesses’ access to data, broadening the types of data that can be analyzed, and raising the level of sophistication of the resulting insight. By the end of 2018, AI investments are going to triple. AI is providing access to powerful insights to businesses through the use of cognitive interfaces in complex systems,

advanced analytics and machine learning technology. AI is helping retailers with predictive selling, better customer engagement, increasing foot traffic resulting in increased sales and predicting customer choice using facial recognition and tone of voice.

Security Surveillance

Industrial operations face constant safety and security threats, which require real-time response with precise, prompt and reliable situational awareness. Security operations are simplified with pre-defined missions, and emergency response is enhanced through on-demand and autonomous availability.

Drones are also being used for highly advanced surveillance, and for carrying various types of equipment including live-feed video cameras, infrared cameras, heat sensors, and radar. These drones can stay in the air for hours or days at a time, and their high-tech cameras can scan entire cities, or alternatively, zoom in and read a milk carton from 60,000 feet.

Smart Home Devices

A lot of smart home devices now are able to learn your behavior patterns and help you save money by adjusting the settings on your thermostat or other appliances to increase convenience and help save energy. A thermostat that knows when you’re home and adjusts the temperature accordingly can help you save money by not heating the house when you’re out.

Lighting is another place where you might see basic artificial intelligence; by setting defaults and preferences, the lights around your house (both inside and outside) might adjust based on where you are and what you’re doing; dimmer for watching TV, brighter for cooking, and somewhere in the middle for eating,

Visual and Audio Neural Network Processing


Connected Cameras

Home Hub

Drone & Robotics


Industrial IoT

AI on IoT devices bring visual intelligence to personal, community and enterprise

  • Video summarization
  • Scene classification
  • Text or license plate recognition
  • Face detection and recognition
  • Object detection and classification, with depth and location tracking

AI Supported Audio Intelligence

  • baby crying
  • breaking glass
  • identifying gunshots

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