Computer controls are continuing to make a mark on entertainment applications. The platform has a long history of providing performance and flexibility, but is now also evolving to bring additional technology for productions such as Hamilton, lobby theaters for resorts, and controls used in the 2017 America’s Cup. Link to article
The manufacturing plant of the future will produce not products but experience. If you take the new the robots for mobility – self-driving cars – they’re connected machines. Where does the value come from – the chassis and four wheels – or does it come from the connected services? Those connected services are what we call the experience.
The customer seeks the service, not the product. The value to the customer is coming from the experience of using the car, not from the car itself. Those who succeed in the 21st Century will be those who provide change by offering a new type of experience. This is what makes the 21st Century different from the 20th Century. Millennials Are Ready for a Post-Product World.To some extent, the post-product world is a generational issue. Millennials get the notion that products are essentially experience. For Gen Xers and Boomers, the concept takes some getting used to. Many Millennials used shared rides during their college years. They understand the positive economics of not owning a car.The diminishing sales of CDs is another example of experience over products. My Millennial kids are perfectly content not owning any of the music they listen to, and they’ve taught their Boomer old man that CDs are a clunky way to consume music. I now have countless albums in my Amazon Prime collection. I pay a monthly fee for access, it’s far less than I used spend buying CDs. full article
There’s a fear that AI is going to take over our jobs – and with the advent of everything from self-driving cars to artificial customer service agents, it’s a valid concern. It’s especially fair when McKinsey, one of the most trusted global management consulting firms, predicts that as many as 800 million full-time employees could have their work displaced by 2030 due to automation
Yet, that data point alone is not reality. In fact, with the following statistics next to it, we can paint a much better picture for the future of work. According to the same McKinsey report:
- Less than 5 percent of occupations consist of activities that can be fully automated
- In about 60 percent of occupations, only one-third of tasks could be automated
IT professionals are certainly up for it. Because while their jobs are becoming more complex and time consuming, their numbers in business are not increasing to balance this growth. The principal value of AI in IT is that it can help predict problems rather than just react to them – i.e. prevent problems rather than just attempt to mitigate them. more at Forbes
Companies can ensure successful deployment of automation by getting buy-in from the workforce and offering retraining. Without the buy-in, workers won’t use the technology.
Companies can reduce the friction of new technology deployment by using collaborative approaches that can produce an abundance of opportunities for the existing workforce. The solution involves a number of strategies, including, gaining buy-in from the company’s workforce, making the new technology familiar, repositioning the workforce infrastructure, and creating retraining programs.
Craig Salvalaggio, VP of Applied Manufacturing Technologies will discuss these strategies in the session, Leading the Change: Digital Transformation & the Workforce of the Future, at the Pacific Design and Manufacturing show in Anaheim on Feb. 5, 2019.
From programmable pills to power-generating boots, here are some of the most unusual technological innovations of 2018 – including electric planes with no moving parts, programmable pills, seeing through walls with Wi-Fi and edible electronics. more
AI Now is a research institute examining the social implications of artificial intelligence.
Link to their website
The AI Now 2018 Report: Link
After a Year of Tech Scandals, AI Now’s 10 Recommendations for Artificial Intelligence Let’s begin with better regulation, protecting workers, and applying “truth in advertising” rules to AI: Link