Goto

Collaborating Authors

Results


Global Big Data Conference

#artificialintelligence

The auto industry is currently experiencing a rapid shift to autonomous vehicles (AV). This evolution is spearheaded by new, innovative technology companies that are bringing cutting-edge automotive platforms to the market at an unprecedented pace. Currently, vehicles on the road are equipped with the ability to maneuver on their own on highways while in the presence of a human driver. The next logical step in the race to autonomy is self-driving capability in an urban setting -- first with a driver and eventually with humans acting solely as passengers. However, driving in cities is an exponentially more difficult problem to solve than maneuvering on highways.


Global Big Data Conference

#artificialintelligence

Artificial Intelligence (AI) was invented several decades ago. In the past, many people associated AI with robots. But, it plays a crucial role in our lives now. Personal gadgets, media streaming gadgets, smart cars, and home appliances use artificial intelligence. Also, businesses use it to improve customer experience and management functions.


ERP with IoT & Big Data for Actionable Intelligence

#artificialintelligence

Internet of Things (IoT), 3D printing, self-driving automobiles, nanotechnology, SMAC (Social, Mobile, Analytics and Cloud) and a lot more …businesses especially the manufacturing organisations are experiencing a downpour of disruptive tech trends in the business intelligence landscape. However, when it comes for manufacturing businesses to adopt these tech trends, there is a dire need for having a lucid understanding of the various tech trends in line with current gen's business ecosystem. IoT and Big data undoubtedly are enthralling tech concepts. The question is what do they have in store for manufacturing organisations? As digitisation takes the manufacturing arena by a storm, there seems to be an amazing potential to boost agility, responsiveness and embrace the quickly changing customers' demands.


27 Incredible Examples Of AI And Machine Learning In Practice

#artificialintelligence

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning. Using natural language processing, machine learning and advanced analytics, Hello Barbie listens and responds to a child. A microphone on Barbie's necklace records what is said and transmits it to the servers at ToyTalk. There, the recording is analyzed to determine the appropriate response from 8,000 lines of dialogue.


27 Incredible Examples Of AI And Machine Learning In Practice

#artificialintelligence

There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives and inform business decisions and optimize operations for some of the world's leading companies. Here are 27 amazing practical examples of AI and machine learning. Using natural language processing, machine learning and advanced analytics, Hello Barbie listens and responds to a child. A microphone on Barbie's necklace records what is said and transmits it to the servers at ToyTalk. There, the recording is analyzed to determine the appropriate response from 8,000 lines of dialogue.


Artificial Intelligence and Data Science in the Automotive Industry – Data Science Blog

#artificialintelligence

Each of these areas already features a significant level of complexity, so the following description of data mining and artificial intelligence applications has necessarily been restricted to an overview. Vehicle development has become a largely virtual process that is now the accepted state of the art for all manufacturers. CAD models and simulations (typically of physical processes, such as mechanics, flow, acoustics, vibration, etc., on the basis of finite element models) are used extensively in all stages of the development process. The subject of optimization (often with the use of evolution strategies[31] or genetic algorithms and related methods) is usually less well covered, even though it is precisely here in the development process that it can frequently yield impressive results. Multi-disciplinary optimization, in which multiple development disciplines (such as occupant safety and noise, vibration, and harshness (NVH)) are combined and optimized simultaneously, is still rarely used in many cases due to supposedly excessive computation time requirements.


Qualcomm Dives Into The Connected Car Market With Its Drive Data Platform

Forbes - Tech

At CES recently, Qualcomm introduced its Drive Data Platform, which the company claims is designed to intelligently collect and analyze information from vehicle's sensors. In addition, the Drive Data Platform can assist smart cars in accurately detecting location, monitoring and learning driving patterns, perceiving surroundings, and capturing and sharing this data. Clearly, the Drive Data Platform should help Qualcomm to tap into connected and autonomous car market, which has a huge growth potential. According to a research by Boston Consulting Group, the autonomous car market could be a $42 billion market by 2025, which could be around 12-13% of the total auto market. As more and more customers look for improved digital experience in the car, in addition to other parameters, car companies are banking on technological advancements in their interiors to compete with each other.