With the attention for AI growing, also the call for ethical AI is growing. This is not surprising seeing the many problems we have encountered already. The problems can arise when we rely too much on unaccountable AI. These problems exist due to biased algorithms that are trained using biased data and developed by biased developers. High-quality, unbiased data combined with the right processes to ensure ethical behaviour within a digital environment could significantly contribute to AI that can behave ethically. Since this is difficult to achieve, the European Union published a set of guidelines on how to develop ethical.
For blockchain technology to achieve wide-scale adoption, a decentralised ecosystem has to be developed. To achieve a decentralised society, many more components need to be built, requiring global standards and large investments. Apart from the different industry layers that need to be developed, we will also continue to see new distributed ledger technologies and more exciting decentralised applications. With the blockchain ecosystem evolving, new applications and technologies come into play as well. Therefore, here are five blockchain trends that you should consider in the coming year.
Organisations that want to prepare for an automated future should have a thorough understanding of AI. However, AI is an umbrella term that covers multiple disciplines, each affecting the business in a slightly different way. Artificial intelligence can be divided into three different domains consisting of the seamless integration of robotics, cognitive systems, and machine learning. The objective of machine learning is to derive meaning from data. Therefore, data is the key to unlock machine learning. There are seven steps to machine learning, and each step revolves around data.
AI will enable organisations to leverage data and embed smartness in every process and customer touchpoint. When you put smartness to work, it will empower your employees and customers and make your organisation more humane. In today’s organisations, a lot of employees have to deal with a lot of administrative tasks and bureaucratic processes. However, in the organisation of tomorrow, such tasks and processes will be managed by AI. Within the organisation of tomorrow, humans and AI will work together.
The term Big Data has been around 2005, when it was launched by O’Reilly Media in 2005. However, the usage of Big Data and the need to understand all available data has been around much longer. While it looks like Big Data is around for a long time already, in fact Big Data is as far as the internet was in 1993. The large Big Data revolution is still ahead of us so a lot will change in the coming years. Let the Big Data era begin!
The coming year will be exciting as ever when it comes to technology. We live in exponential times and the more various technologies converge, the more exciting the opportunities become. The Internet of Things will drive the data deluge, which will help train artificial intelligence, which will result in better applications and more personalisation. New developments in chip design will continue Moore's law and result in more powerful machine learning algorithms, while decentralised solutions will bring back control to the consumer. 2020 will be the Year of Convergence. Here are the top seven technology trends for 2020.
AI is going to become a very important aspect of the organisation of tomorrow. Although it is unsure what AI will bring us in the future, it is safe to say that there will be many more missteps before we manage to build Responsible AI. Such is the nature of humans. AI can bring a lot of advantages to organisations, but it requires the right regulation and control methods to prevent bad actors from creating bad AI and to prevent well-intentioned AI from going rogue. A daunting task, but one we cannot ignore.
The organisation of tomorrow brings great opportunities but also comes with great responsibilities. Only when organisations ensure data security, data governance, data privacy, and works with unbiased algorithms, can they expect long-lasting, loyal customers. In the future, switching costs are likely to reduce dramatically and, it, therefore, comes down to offering the best possible service/product for the best price. And if you do so, and take care of your customers, your customers will take care of your shareholders.