Connected Car Security: Real Threat or Media Hysteria?

Jeep Uconnnect Infotainment

With the growing popularity of Internet-connected features in cars, they become attractive targets for remote hacking. While as far as I know no malicious hacking has been reported, there have been multiple demonstrations of serious software vulnerabilities and breaches of vehicles software. A recent Wired magazine article was particularly damming. With Wired support, experienced “white hat” … continue reading →

Autonomous Cars: From Driver Errors to Software Errors

Continental connected car

To Crash is Human

It has been established that humans, not cars, nor the environment are responsible for auto accidents. The data from the National Motor Vehicle Crash Causation Survey (NMVCCS) conducted by the National Highway Traffic Safety Administration makes this abundantly clear. Automakers and their suppliers invest heavily in improving crash survivability and in … continue reading →

The Internet of Things and Humans as Sensors

Humans as IoT Sensors

The Internet of Things is the orchestration of multiple connected ecosystems that enable tight value chain integration and synthesis of multidisciplinary data that provide context for high-fidelity decision making. We tend to think of the IoT in terms of monolithic network of connected “things” and the data they generate. This is a correct but very … continue reading →

Virtual Reality is Awaiting its iPhone Moment

Virtual reality and augmented reality display

I have been involved in developing, evaluating and selecting tools and methods for field service and failure diagnostics in complex equipment for many years. Among the many technologies, virtual reality (VR), the technology that was heralded and then flopped in the 90s, seems to stage a comeback, thanks to significant improvement in hardware and visualization … continue reading →

Who Will Lead the Internet of Things Industry in Five Years?

Internet of Things

I met a business acquaintance the other day. He asked me who I thought was leading the Internet of Things (IoT) industry. It was easy to dismiss the question by pointing out the large number of companies—many very young and quite small—that occupy this nascent space. But what about in the future? Who will lead … continue reading →

To Reuse or Not To Reuse Parts, That is the Question

CAD Model

Design Reuse

For years I have been critical of the automotive industry and its overzealous and careless tendency to design new parts instead of reusing existing designs, inventory parts and suppliers.  The Rationale to resist the temptation to innovate and reuse tried and proven parts is broad and multifaceted. Among the chief arguments: Accelerate time … continue reading →

Field Service Excellence: Right Technician, Right Information

Field Service

Lackluster Service Performance

For product companies and service organizations, field service continues to be a critical element in the quest for greater profitability and improved customer satisfaction. Field service excellence is determined to a great extent by the effectiveness and efficiency of the service visit, as well as by the experience delivered to the customer. … continue reading →

Airbus: “Oops, We Did It Again”

Airbus A380

Airbus-Aras Strategic Partnership

When it comes to changing enterprise software vendors, the aerospace industry isn’t exactly known as a fast moving bunch. While aerospace companies push the envelope of the most advanced CAD and CAE tools available in the market, they tend to select and stick for the long haul with one of three PLM … continue reading →

PTC’s IoT Strategy: Realizing the Connected World

Jim Heppelmann PTC IoT strategy

PTC’s IoT Journey

Since James Heppelmann took the helm at PTC in October of 2010, he has been hard at work, challenging the status quo among top-tier PLM vendors and seeking to redefine PLM and expand its influence beyond its traditional engineering boundaries. The comprehensive strategy has had multiple threads and terms, starting with service … continue reading →

Computer Vision For Autonomous Cars

Computer vision: Zuckerberg or a cardigan?

What’s the Difference between Zuckerberg and a Cardigan?

Computer vision and machine learning for intelligent autonomous systems are among the hottest—and most complex—technologies under development today. It is the holy grail that will allow autonomous vehicles detect and avoid obstacle and support general autonomous behavior and planning. An image recognition engine is trained to classify … continue reading →