As innovation professionals, we too often look for inspiration from organizations such as Apple, Amazon, Tesla, Spotify, Google, etc. Cultures within these businesses are encourage transparency, experimentation and autonomy resulting in engaged workforce of the best and brightest minds, pumping out game changing products on-schedule, on-budget and on-point. We want that for the organizations that we support. We want to drive those behaviors.
The business needs to define strategy, profitability, and relevance at any given time to break through bottlenecks and avoid pitfalls on the path to innovation.
A few years ago, big data was a brand new frontier for businesses, and few could afford to leverage the technology on a large scale. Today, it’s much more accessible for companies of all sizes, and the field of big data has begun to mature.
Innovation is crucial for our society. Technological developments in every area of life have completely transformed the way that we communicate, travel, work, eat, and so much more. Without realizing it, we count on inventors like Steve Jobs and Elon Musk to improve and transform our daily lives. What we also don’t realize is that one of the driving forces behind innovation is intellectual property (IP) protection.
What is information management when compared to computer science? The real difference is in application. While computer scientists are focused on science, mathematics, and a technical approach to computing, information systems is more focused on individual and organizational development. This typically involves using the programming created by computer scientists.
New technological advancements emerge every day. As this takes place, it's important to stay aware of changes and advancements.
In Brussels, the Research & Innovation Program Horizon Europe (FP9) is the talk of ‘EU town’. Horizon Europe is hoped to be the great leap forward of Europe to close the innovation gap to the US and stay ahead of the emerging innovation giant China in the coming years.
Education is a powerful vehicle for professional growth. It’s now more affordable, and recent technological innovations have made it easier for employees to acquire and advance their skillsets.
In our previous article we focused on some of the serious issues being faced by clients and vendors who are working with innovation / ideation platforms.
Measuring innovation is one of the most ambiguous tasks when engaging in innovation management. Because of the complex nature of innovation, finding the right metrics is far from being simple.
Innovation requires collaboration, but collaboration is stuck in a rut. Data science can help us climb out. It can increase the scale, the intentionality, and the nuance of how we collaborate. With the right data and algorithms, we can set our teams up to do something innovative.
Is there any word more fundamental to the modern business lexicon than ‘innovation’? To say that it forms an important part of enterprise is probably an understatement.
Innovation is an integral part of many organizations today, and for good reason: it helps companies stay agile, relevant, and evolving. However, innovation is often difficult to achieve—or is even met with resistance.
When leaders foster a culture of innovation, they enable their teams to be creative, flexible problem-solvers who thrive in the face of change. But what is a culture of innovation? And how does a leader begin to foster one? Building a culture of innovation originates with embracing The 3 Cs: critical thinking, curiosity, and customer-centric design.
It’s pretty much impossible to argue with Apple’s success. It’s one of the most valuable companies in the world, and has maintained dominance for its reputation as an innovative company that produces top-of-the-line hardware. Because of its products and brand reputation, Apple has gained a cult following that will buy nearly every new product that emerges, year after year. So why, even with the high price tag, are so many consumers willing to shell out for every new gadget that comes along?