Artificial Intelligence

Artificial Intelligence have become much more widespread than ever before. They are often used interchangeably and promise all sorts of smarter home appliances to robots taking our jobs.

Artificial Intelligence

Artificial Intelligence have become much more widespread than ever before. They are often used interchangeably and promise all sorts of smarter home appliances to robots taking our jobs.

Over the past decade, machine learning and Artificial Intelligence has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.

Now a day most industries working with large amounts of data have recognized the value of machine learning technology. By gleaning insights from this data – often in real time – organizations are able to work more efficiently or gain an advantage over competitors.

Finding new energy sources. Analyzing minerals in the ground. Predicting refinery sensor failure. Streamlining oil distribution to make it more efficient and cost-effective. The number of machine learning use cases for this industry is vast – and still expanding.

Financial services

Banks and other businesses in the financial industry use machine learning technology for two key purposes: to identify important insights in data, and prevent fraud. The insights can identify investment opportunities, or help investors know when to trade. Data mining can also identify clients with high-risk profiles, or use cyber-surveillance to pinpoint warning signs of fraud. Machine learning is a fast-growing trend in the health care industry, thanks to the advent of wearable devices and sensors that can use data to assess a patient's health in real time. The technology can also help medical experts analyze data to identify trends or red flags that may lead to improved diagnoses and treatment.

Government agencies such as public safety and utilities have a particular need for machine learning since they have multiple sources of data that can be mined for insights. Analyzing sensor data, for example, identifies ways to increase efficiency and save money. Machine learning can also help detect fraud and minimize identity theft. Websites recommending items you might like based on previous purchases are using machine learning to analyze your buying history – and promote other items you'd be interested in.