Additive manufacturing (AM) once was called “rapid prototyping.” Its earliest forms made prototype parts—and nothing else. However, manufacturers were intrigued by the prospect of using it to make cost-effective metal parts in production. That day is here.
What do you think of when you hear the word factory? Probably some huge space, with machines humming and personnel walking around with notepads in their hands.
What is tribal knowledge and why should a company care? It is valuable, exclusive information stored only inside someone’s mind and communicated only verbally (if at all). The “someone” may have played an important role in an organization for decades and knows a thing or two that the company treasures yet cannot duplicate.
The value-add of blockchain for businesses is estimated to grow into the trillions by 2030. Experts believe product recalls alone—estimated to cost $8 million today—could be practically eliminated through improved track and traceability enabled by blockchain.
Convergence-enabled cyberattacks—where criminals exploit traditionally isolated operational technology (OT) devices through their new connections to the IT network—may be motivated by the desire to hijack and demand ransom for services, steal trade secrets through industrial or national cyberespionage, or commit cyberterrorism or engage in cyberwarfare.
Reducing the risk of automotive defects is one of the most critical issues facing manufacturers today – to protect the well-being of consumers, as well as their own reputations and financial health.
Several years ago, a global commercial vehicle maker asked my firm to develop a remote fleet management, health and performance portal that would open a new revenue stream.
Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.
The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.
Companies like ABB, Balluff and Sick would be within their rights to film a commercial with exuberant sensor product managers breaking out in a song of cheer.
