The auto industry has had a challenging couple of years. Demand is shifting, key components have been hard to get and workers are leaving the sector. Thankfully, AI in car manufacturing could provide a solution to all of these problems. AI has been steadily rising in manufacturing -- and after recent disruptions, it'll likely grow even faster. Here's a look at some of the ways this technology is improving auto manufacturing today and tomorrow.

A senior data engineer who is excited to work on challenging Data infrastructure problems. You'll be a key contributor to EvolutionIQ's Data Platform working closely with the Analytics and ML Team to understand their workflows and build a scalable, robust and developer friendly platform that can support multiple different products and use cases.

Job Description We live in a moment of remarkable change and opportunity. Data and technology are transforming industries, society, and even the workplace–by creating professions that did not exist before the emergence of data, cloud, social, and mobile. As the largest technology and consulting employer in the world, IBM is a leader in this global transformation and just the place to continue your career. Global Chief Data Office (GCDO) is responsible for providing governed, regulated, secure, and efficient access to enterprise data for consumption by business units, AI centric applications and researchers. The Deep Learning (DL) groups, within the GCDO, are responsible for providing effective use of platform and infrastructure for computationally expensive workloads and to decrease the time data scientist personas spend preparing data and computational pipelines.

Job Description We live in a moment of remarkable change and opportunity. Data and technology are transforming industries, society, and even the workplace–by creating professions that did not exist before the emergence of data, cloud, social, and mobile. As the largest technology and consulting employer in the world, IBM is a leader in this global transformation and just the place to continue your career. Global Chief Data Office (GCDO) is responsible for providing governed, regulated, secure, and efficient access to enterprise data for consumption by business units, AI centric applications and researchers. The Deep Learning (DL) groups, within the GCDO, are responsible for providing effective use of platform and infrastructure for computationally expensive workloads and to decrease the time data scientist personas spend preparing data and computational pipelines.

At its heart, AI is computer programming that learns and adapts. It can't solve every problem, but its potential to improve our lives is profound. At Google, we use AI to make products more useful--from email that's spam-free and easier to compose, to a digital assistant you can speak to naturally, to photos that pop the fun stuff out for you to enjoy. Beyond our products, we're using AI to help people tackle urgent problems. A pair of high school students are building AI-powered sensors to predict the risk of wildfires.

Google's collaboration with the Department of Defense to develop AI system's for the US military's fleet of war drones, dubbed Project Maven, proved a double-edged sword for the technology company. On one hand, the DoD contract was quite lucrative, worth as much as $250 million annually. On the other hand, public backlash to the news that the company was helping the government build more efficient killing machines was immediate, unwavering and utterly ruthless. A dozen employees quit the company in protest, another 4,000 petitioned management to terminate the contract outright. The uproar was so deafening that Google had to come out and promise to not renew the deal upon its completion next year.

At its heart, AI is computer programming that learns and adapts. It can't solve every problem, but its potential to improve our lives is profound. At Google, we use AI to make products more useful--from email that's spam-free and easier to compose, to a digital assistant you can speak to naturally, to photos that pop the fun stuff out for you to enjoy. Beyond our products, we're using AI to help people tackle urgent problems. A pair of high school students are building AI-powered sensors to predict the risk of wildfires.

Amazon.com CEO Jeff Bezos tours the facility at the grand opening of the Amazon Spheres in Seattle on Jan. 29, 2018. Amazon's Jeff Bezos said it counts more than 100 million paying members for Amazon Prime, the delivery and content business that's at the heart of its sales growth. The CEO and founder, in his annual letter to shareholders, said last year more members joined Prime than in any previous year. Prime subscribers spend a lot more on Amazon -- $1,300 per year on average -- compared to about $700 for non-Prime members, according to Consumer Intelligence Research Partners. "One thing I love about customers is that they are divinely discontent. Their expectations are never static – they go up," said Bezos. We didn't ascend from our hunter-gatherer days by being satisfied. People have a voracious appetite for a better way, and yesterday's'wow' quickly becomes today's'ordinary'. I see that cycle of improvement happening at a faster rate than ever before. It may be because customers have such easy access to more information than ever before – in only a few seconds and with a couple taps on their phones, customers can read reviews, compare prices from multiple retailers, see whether something's in stock, find out how fast it will ship or be available for pick-up, and more. These examples are from retail, but I sense that the same customer empowerment phenomenon is happening broadly across everything we do at Amazon and most other industries as well.