Every day we hear these words and sometimes they are used like everyone knows what they mean. Here you will find easy explanations for 25+ of the most used tech buzzwords.
The world has witnessed a huge technological leap in the last decade. From the rise of smartphones and tablets to 3D printing, artificial intelligence and blockchain. As the saying goes, these technologies are here to stay and have not only generated the occasional stir, but have permanently changed our daily lives and the way we work. These 10 innovations have the potential to shape our future.
Personalization in marketing leads to a better conversion rate. Marketing automation tools identify visitors online and serve them with personalized offers.
Due to the rapid digital change, even established companies have to think more and more about innovations and new ideas. We show from our experience the 5 most important elements for this corporate innovation.
AI clearly has a key role to play in the business world - now and in the future. It holds unprecedented potential for efficiency gains and new business models. Because AI is unlike any other technology, it also holds the potential for unexpected consequences and disruption on an unprecedented scale. No company should deploy AI blindly and without strategy, and no responsible board can afford not to engage with and understand its potential.
Many companies as well as banks are facing many challenges but also opportunities in this crisis. Continued rising customer expectations are juxtaposed with the need for efficiency improvements as well as the establishment of flexible operating models to ensure business continuity.
In each of these areas, Artificial Intelligence is a key component to establish tools and services that meet customer expectations while driving efficiencies and enabling dynamic and flexible operating models through automation or tailored information delivery to the advisor or service center agent.
How can you create added value for customers and your own company through customer centricity? We explain the difference to customer orientation and the path to customer centricity.
Artificial intelligence (AI) has many practical applications for businesses. Think of AI as a larger framework that provides different capabilities. Companies implementing AI should review their vision and develop an AI strategy that aligns with their larger goals and focus. To implement, data-driven use cases are the basic requirement. Also, a flexible and modular architecture should be chosen from the beginning, which can be expanded and improved as needed in the future.
In today's era of big data, Artificial Intelligence (AI) and cognitive technologies are becoming a powerful focal point for businesses. They are increasingly being used to intelligently automate and accelerate business processes, make valid predictions, create more engaging and personalized customer interactions, and ultimately recommend the best possible approach to assess a business problem. And in doing so, create an enterprise that is data-centric, agile, and future-focused: the Cognitive Enterprise.
In order to have a positive public perception, a company nowadays needs a common sense - the purpose. Closely related to this is corporate identity: it shapes the company's mission statement. The boundaries between corporate communications, community building, branding and design are fluid.
Welcome to the VUCA world: Companies experience many uncertainties to which they have to find permanent answers. And they often have to say goodbye to supposed certainties. This is easier in a corporate culture that sees change as a normal state and as an everyday task for each individual. The experiences from the Lockdown are a good starting point for working toward this goal.
Digital procurement is changing purchasing permanently and is shifting the procurement process in part to the departments in which the requirements arise. What influence does this digital transformation have on supplier management?