Technology is transforming every industry across the globe, and its effectively driving the business world forward as a whole. At the center of all of this is, of course, the bottom line, or the consumers, and how they benefit from the integration of tech solutions into the processes of their favorite brands.
This paper was originally published on smartinsights.com, the 11th of September, 2018. Republished here with permission from the author.
Technological changes are one of the leading advocators to shape customer value. They are characterized by a process of social technological variations, rooted in different disciplines e.g., economics, sociology, and psychology.
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.