To truly scout emerging technology, stop thinking like an executive
Inspiration for your next innovation might just be found in the movies.
Scouting emerging tech: the advantages of university relationships
Looking within universities for innovation is win-win.
How to use accelerators and incubators as a tech scouting tool
Engage in the VC ecosystem to stay on top of emerging tech.
Investing in innovation? Here’s how to make the biggest impact
It’s not the number of dollars you spend. It’s how you spend them.
Artificial intelligence: A tipping point for digital business
Is AI the shot in the arm that today’s transformation efforts need?
Sportifying STEM through robotics to stimulate learning
What can businesses learn from programs that use robotics and gamification to spark kids’ interest in math and science?
Digital haystacks: Extracting insight from enterprise data
How big data innovation helped PwC transform enterprise search to deliver key data and increase employee effectiveness.
3 approaches to emerging technology experimentation
The key to effectively experimenting with emerging technology is to link innovations to specific business goals.
Forest or trees: Navigating the emerging technology wilderness
How to stay informed about emerging technologies without becoming overwhelmed by the endless possibilities.
Not quite ready for the (fourth industrial) revolution
With few businesses prepared for Industry 4.0, it’s time to hone your strategy for emerging technology.
Exploring the possibilities of virtual reality across industries
Six industries that can benefit from virtual reality applications—will your business be prepared?
Demystifying machine learning part 2: Supervised, unsupervised, and reinforcement learning
What do all technology innovators have in common? These three guiding principles.
Agile coding in enterprise IT: Code small and local
Big SOA was overkill. In its place, a more agile form of services is taking hold.
The power of picking the right prototype
How to overcome some common challenges of using prototypes to test out product ideas.
Sensors and analytics creating a competitive edge in retail
What retailers need to consider before implementing sensors and data analytics to gain a competitive edge.
Eight reasons innovators should pay attention to SXSW
SXSW Interactive can be a doorway to fresh ideas and knowledge sharing to fuel innovation initiatives.
6 technology innovation sources for outside-in learning
How to stoke the flames of innovation in your company by bringing the outside in.
What is microservices architecture? Think ant colonies, beehives, or termite mounds
Microservices architecture explained: What they are and what they’re food for.
Digital spaghetti: What happens when emerging technology meets the hype cycle
How to separate hype from reality about emerging technologies: internet if things, wearables, and context-aware computing.
The end of data standardization
We can no longer deny the drive to diversify data management technology that began in the mid-90s. The aspiration to achieve one single and simple database management system has died. I grew up with the advent of commercial relational databases in the late 80s and early 90s. At the time, the promise was clear: you could store everything in a relational database that was carefully modeled and expandable. And in doing so, you acquired the ability to access, govern and securely manage every bit of data in a single technology environment. Most companies decided on a relational database standard and ported some or all of their applications towards that single database backend. All the principles of good architecture – including cost and skill optimization played out – until they didn’t. All seemed swimming until one of my clients – a major European railway operator – wanted to geo code every bit of equipment and every centimeter of their railway network. As hard as we tried, we couldn’t meet the client’s demands well with a relational database. The advent of spatial data management systems came to the rescue. Questions like ‘What is the total book value of all assets deployed within …
Businesses Banking on Breakthrough Innovation
Post co-authored by Rob Shelton, Global Innovation Strategy Lead. Last year if you asked a CEO what he or she is doing to achieve growth, the answer would have been investing in China. This year the answer is innovation. Business executives are banking on bold innovation to meet aggressive growth targets, so they are taking innovation more seriously than ever before. In the spirit of Peter Drucker who said, “innovation is work,” business executives are focusing less on informal processes that produce incremental improvements to internal operations and more on formal innovation approaches that generate “breakthrough” and “radical” innovation. In our latest innovation study, 69% of 1,757 senior executives contend having a well-defined innovation process is important to establishing a culture of innovation. This rigor is necessary to improve the chances of innovation success. To make headline-worthy innovations happen, a significant percentage of companies are looking to new innovation models such as open innovation (collaboration with outside partners), design thinking (looking at the need from an anthropologist’s perspective), corporate venturing (investing in startups), and incubators (small groups of intrapreneurs that use rapid prototyping). Corporate venturing is the most popular approach among technology companies. To meet tenacious growth targets, established technology companies …
The discipline of digital disruption
Nowadays, virtually every time I turn around my wife is watching some home improvement show on TV. I must confess that I get glued to the house remodels. After watching quite a few of them, I’ve begun to notice a pattern. Invariably, demolitions unearth unexpected issues that cost extra time and money. Knob and tube wiring, ancient leaks, and termites, oh my. It reminds me of the problems enterprises face as they start swinging the hammer of disruption when pursuing emerging technology. If you think about it, houses are a lot like enterprises. If you want to tear down a wall to make an enhancement, you better carefully examine the blueprints and devise a plan that ensures success, minimizes costs and reduces risk. The last thing you want to do is rock the stability of your structure by removing a load-bearing wall. Or, in the case of an enterprise, abandon a critical legacy system or disable a critical business process. Yet, senior executives are barreling into emerging technology implementations without consulting business designers with a bird’s eye view of the organization’s operations. They just know in their gut that a particular technology is going to give them an edge and …
Enterprise architecture for emerging technology: build, buy, or open source
As companies transition to more flexible IT platforms, they are searching for guidance on how to determine whether they should build their own application, use packaged applications from an ERP vendor, adopt an open source platform, or leverage a SaaS solution. It’s not an easy decision to make. Whether custom-built or vendor-based, projects can fail. Before making the transition, you should carefully consider the following differences surrounding support, customization and deployment. All things being equal, the primary difference between open source and vendor products is the source of support. Open source support options are “do it yourself.” If you’re not equipped for DIY, you’ll need to reach out to a forum or community involved with that project. In contrast, vendor products provide you a number to call when you need help, which can be either good or bad depending on the responsiveness of your vendor. When an open source platform/product has reached critical mass, you will usually find companies that provide professional support (e.g Redhat, Hadoop and Oracle VirtualBox.) Open source enhancements are usually quicker if you have a vibrant community. If you choose the vendor route, you’ll have better luck if your company is large. Vendors tend to listen to …
The potential of context aware computing
Companies now have a powerful tool to notify, enhance, extend, and rationalize situations to augment our human decision-making capability. It not only helps us to make better, more informed decisions, but it truly becomes an extension of us.
The Next Phase of Agile Development
It’s human nature for people to build sturdy structures to shield themselves from the unpredictability of the elements. But, if you are too sheltered for too long, you weaken your ability to continuously confront change. That’s the dilemma facing IT departments. Change is raining down on them, and they are having trouble continuously adapting. A term is gaining momentum in the IT community to describe an ideal state of being for IT systems: antifragility. Coined by Nassim Nicholas Taleb in his book Antifragile: Things That Gain from Disorder, the antifragile system grows stronger when exposed to disorder in the same way the human body’s immune system gains strength when attacked by disease. In contrast, fragile systems are easily injured and suffer from volatility. Most enterprises today fall into the “robust” category somewhere in between antifragile and fragile. They are anchored to legacy systems and run by IT departments that are hard-wired to deflect disruption. These IT systems are like immovable barricades that are increasingly incapable of flexing alongside tech-empowered consumers. New mindsets and governance models are needed in today’s digitally dynamic marketplace. The notion of antifragility and its associated biological metaphors are serving as inspiration for enterprises to migrate away …