Unsolicited use of personal data can cause great reputational damage. Some companies discover this the hard way. On top of that, new laws on data protection came into effect in May. How should a responsible company act? By now, many organizations that store and use personal data have taken the necessary steps to ensure compliance […]
Is your company fit for the future? What do you need to look out for to accelerate digitization and drive innovation? The Digital Ability Report 2018 by Basefarm provides well-founded answers and valuable insights. This summer, we did a survey to find out the current state of digital maturity of companies and the criteria that […]
How do we keep up with the pace of digitalization and take control over our own digital development? And how do we learn new skills and routines that lead to successful digitalization? It all starts with a modern way of thinking and acting. At Basefarm we call it Data Thinking.
To master digital transformation in your business and put data-driven business models into practice, a digital mindset and comprehensive empowerment originating with corporate management is required.
By Trond Bjerkvold.
For a long time the topic of artificial intelligence (AI) has been moving minds as it inspires fantasies and stokes fears. The step from machine intelligence to notably AI has caused the first entertaining and practical applications. This year, AI is starting to make an impact in entire companies, representing another significant leap: from individual to company-wide use.
The targeted, quick use of data in large volumes from various sources – Big Data – is becoming ever more commonplace within companies. As is the protection and security of this data, of course. But a crucial component has to be added, which addresses the responsibility of individuals and companies when dealing with data: data ethics.
Big Data and Cloud are central to pretty much all the technology topics of our time. From Industrial Internet and the Internet of Things to machine learning and deep learning to artificial and business intelligence – and beyond. Seems clear so far, right? To date, however, there have been few answers to the question of how everything will proceed. Answers are now due. It’s time for piecing together the bigger picture, which we will be doing in a small blog post series. Let’s start with Data Thinking.
The first Applied Artificial Intelligence Conference (AAIC) took place in Vienna at the end of May. Solution developers, prospects, and users from different industries came together to exchange views on the application of Artificial Intelligence (AI). Unbelievable Machine was present as partner and exhibitor. The *um Data Scientists Ingo Nader and Clemens Zauchner explain our contribution to the understanding and applicability of the technology.
Against the backdrop of new technologies and the ever-more demanding requirements of customers and/or employees, IT leaders in companies are constantly faced with new challenges.