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The danger in using artificial intelligence to expedite inefficient legacy processes is that the technology may prolong the life of systems that limit competitive advantage.
A key takeaway of our exploration of the digital thread is that continuous learning and performance enhancement via technology are all based on the feedback that real-world experience provides.
In Part 8 of our eight-part video series, we examine how the digital thread — and its companion, the digital twin — could revolutionize not only the way we design and develop products, but the way we manufacture and service them as well.
In Part 7 of our eight-part video series, we take a big-picture perspective on the steps involved with the digital thread.
In Part 6 of our eight-part video series, we detail the quality assurance and inspection of a digitally manufactured component.
In Part 5 of our eight-part video series, we look at production steps in digital additive manufacturing.
Mature companies often lack the vision and the commitment to fully commit to new technologies — even when consumers are ready for them. This leads firms to develop watered down products with limited capabilities and leaves them exposed to upstart competitors.
In Part 4 of our eight-part video series, we look at how digital simulation technologies like finite element analysis (FEA) make product testing more efficient and cost-effective in both short- and long-term contexts.
In Part 3 of our eight-part video series, we explore the technologies used for topology optimization and the role they can play in improving component and product performance.
In Part 2 of our eight-part video series, we explore how technology affects product and component design. The digital thread not only streamlines product design via the ability to digitally scan an existing part or design a new one using computer-aided design (CAD) software, it can also accelerate the development process by affording previously unattainable levels of transparency and input.
In Part 1 of our eight-part video series, we explore the real power of the digital thread, which lies not just in a “cradle-to-grave” virtual rendering of the manufacturing process, but also in the possibility of taking the lessons learned from analyzing product performance and applying them to future generations of the manufacturing process and product design.
Our eight-part video series explores how integrated digital technologies can transform business.
Researchers are exploring how to create intelligent machines that work with us better as opposed to taking our place. Robots that can express human body language can have a positive effect on their human colleagues, enabling them to be more effective at their jobs, take on higher-level tasks, and realize psychological benefits. The overall result is a more productive human-robot team.
According to a 2018 NewVantage Partners survey, executives now see a direct correlation between big data capabilities and AI initiatives. For the first time, large corporations report having direct access to meaningful volumes and sources of data that can feed AI algorithms to produce a range of business benefits from real-time consumer credit approval to new product offers.
New emotion-sensing technologies can help employees make better decisions, improve concentration, alleviate stress, and adopt healthier and more productive work styles. But companies must address important privacy issues.
It’s possible that humankind has created complex, systemic problems that exceed our human capacity to solve them. Some companies, particularly the tech giants, are recognizing this possibility and looking to AI as a tool for solving environmental and social problems. One of these companies is Microsoft. In December 2017, it committed $50 million to its new “AI for Earth” program to fund innovators who are making progress in four critical areas — climate change, water, agriculture, and biodiversity.
AI’s most potent, long-term economic value may lie not in the thousands of new startups, but in the ability of AI to augment the discovery and pursuit of basic scientific advances that could be the foundations of new industry.
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