Goto

Collaborating Authors

How Cloud, Big Data and AI Are Driving the Auto Industry Toward Personalization

#artificialintelligence

In order for OEMs to stay competitive, it is becoming necessary to build new business models that leverage the continually evolving "platform economy." Current examples of this include Uber, AirBnB and Spotify, which have embraced internet technologies to re-envision long-established service models into bold, convenient personalized platforms. As consumers get more comfortable with services delivered via web-enabled platforms, manufacturers are now looking to adapt and even perhaps introduce new platforms inside their products across various consumer engagement dimensions. Such changes are already impacting how consumers shop for cars, select financing, and, with the advent of alternative eco-friendly motors, refuel them. As this trend continues, it has the potential to open a new world of competition driven by innovations designed to enhance the digital consumer experience as much as the driving one.


Automotive: Accelerating disruption through creative destruction

#artificialintelligence

Thanks to the rise of electric vehicles, digital and new ownership models, the automotive market was already facing unprecedented disruption. As this article explains, the impact of COVID-19 on newcar sales accelerates the need for radical change – now is the time to turbocharge transformation efforts and seize opportunities to thrive in a post-ICE era. Manufacturers (OEMs) had to react immediately to secure their financial liquidity, their operations, the health of their employees, and the value of basic capital assets to guarantee their immediate survival. As the broader crisis stabilizes, they face the pressing question of how to stay competitive and successful during and after the recovery, against the backdrop of a transforming market. Unlike in previous recoveries, when buyers start returning to the market in greater numbers in two to three years, ongoing industry disruption will have advanced sufficiently to change their buying behavior.


Industry 4.0: How digitization makes the supply chain more efficient, agile, and customer-focused

#artificialintelligence

If the vision of Industry 4.0 is to be realized, most enterprise processes must become more digitized. A critical element will be the evolution of traditional supply chains toward a connected, smart, and highly efficient supply chain ecosystem. The supply chain today is a series of largely discrete, siloed steps taken through marketing, product development, manufacturing, and distribution, and finally into the hands of the customer. Digitization brings down those walls, and the chain becomes a completely integrated ecosystem that is fully transparent to all the players involved -- from the suppliers of raw materials, components, and parts, to the transporters of those supplies and finished goods, and finally to the customers demanding fulfillment. This network will depend on a number of key technologies: integrated planning and execution systems, logistics visibility, autonomous logistics, smart procurement and warehousing, spare parts management, and advanced analytics. The result will enable companies to react to disruptions in the supply chain, and even anticipate them, by fully modeling the network, creating "what-if" scenarios, and adjusting the supply chain in real time as conditions change. Once built -- and the components are starting to be developed today -- the digital supply "network" will offer a new degree of resiliency and responsiveness enabling companies that get there first to beat the competition in the effort to provide customers with the most efficient and transparent service delivery. At most companies, products are delivered to customers through a very standardized process. Marketing analyzes customer demand and tries to predict sales for the coming period. With that information, manufacturing orders raw materials, components, and parts for the anticipated capacity.


AI & Automotive -- 8 Disruptive Use-Cases

#artificialintelligence

A driverless car running on roads may sound like a screen taken from a sci-fi movie. However, fiction is turning into reality, and we thank Artificial Intelligence (AI) for the same. AI technology complements the very concept of self-driving cars. Elon Musk had predicted in 2017 that all the cars will be autonomous in 10 years without any steering wheel. We are quite close to bringing this prediction into reality in just a short time frame of 4 years.


Complete guide: 10 smart factory trends to watch in 2019 Internet of Business

#artificialintelligence

Internet of Business's comprehensive guide to where Industry 4.0 will lead manufacturers in the year ahead. Most manufacturers believe they are leading their markets in Industry 4.0 technologies, despite evidence to the contrary. There is a huge gap between the many companies that are exploring digital manufacturing strategies – via technologies such as automation, robotics, AI, and the Internet of Things – and those that are implementing them successfully. With Brexit looming, many manufacturers and solutions providers fear what this will mean for the wider European industrial community, which depends on the free movement of people and confident investment. The UK Budget recently sought to soften this blow by reinforcing the UK's commitment to a strong environment for international scientific collaboration. As part of this investment in R&D, the government will increase the Industrial Strategy Challenge Fund by £1.1 billion, supporting technologies of the future. This includes up to £121 million for the Made Smarter initiative to support the transformation of manufacturing through digitally enabled technologies, such as the Internet of Things and virtual reality.