An artificial intelligence engineer is an individual who works with traditional machine learning techniques like natural language processing and neural networks to build models that power AI–based applications.
Data analytics applications or, more specifically, predictive analysis has also helped in dropping crime rates in certain areas. In a few major cities like Los Angeles and Chicago, historical and geographical data has been used to isolate specific areas where crime rates could surge. On that basis, while arrests could not be made on a whim, police patrols could be increased. Thus, using applications of data analytics, crime rates dropped in these areas.
Some of the different data analytics applications that are currently being used in several organizations across the globe are:
1.Security
2.Transportation
3.Risk detection
4.Risk Management
5.Delivery
6.Fast internet allocation
7.Reasonable Expenditure
8.Interaction with customers
Now let's see Cybersecurity in Data analytics
Big Data Security Analytics: A Weapon Against Rising Cyber Security Attacks?
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Flippy is the robot that is an expert at flipping burgers in hamburger restaurant CaliBurger and put them on the bun. It can grill 150-300 patties with excellence in one hour. It's a robot that doesn't need to wear a hairnet while working in the kitchen. Flippy can also change the sides of patties and can select spatulas that are needed at a specific time. David Zito, the CEO of Miso and manufacturer of Flippy shared his thoughts:
''Flippy is the world’s first autonomous robotic kitchen assistant that can learn from its surrounding and acquire new skills over time.''
Machine learning algorithms make it possible for self-driving cars to exist. They allow a car to collect data on its surroundings from cameras and other sensors, interpret it, and decide what actions to take. Machine learning even allows cars to learn how to perform these tasks as well as (or even better than) humans.
11 Facts about Data Science, more details:
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Cancer is an aggressive disease with a low median survival rate.
Artificial intelligence (AI) has reached new heights in clinical cancer research in recent years.
AI is applied to assist cancer diagnosis and prognosis, given its unprecedented accuracy level, which is even higher than that of a general statistical expert.
An overview of how AI applied in clinical cancer could be leveraged in this area and thereby contribute to improved human health.
And also include How AI cure Cancer
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Data science is a concept used to tackle big data and includes preparation, and analysis. A data scientist gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract critical information from the collected data sets.
A data analyst is usually the person who can do basic descriptive statistics, visualize data, and communicate data points for conclusions. They must have a basic understanding of statistics, a perfect sense of databases, the ability to create new views, and the perception to visualize the data.
