Our Blog Posts
Embracing digitalization’s limits: The future is hybrid
Are robots slowly but surely taking over the world, leaving only people who can develop algorithms in employment? At least in areas where face-to-face interaction is still essential, the added value of AI lies in a hybrid approach.
Fake news may be compromising the quality of social intelligence
Advances in the field of opinion mining and sentiment analysis has opened up unprecedented access to insights into what people think. On Facebook alone, the most widely used social media platform, 510,000 comments are posted, 293,000 statuses are updated, and 136,000 photos are uploaded every minute.
How technology is changing established advisory jobs
The trend towards digital advice is sweeping across all sectors. In the investment management business, Robo-advisors, online platforms that use algorithms to recommend investment portfolios, are already widely in use, gaining acceptance and growing rapidly.
Analytics - Does your business need descriptive, diagnostic, predictive or prescriptive capabilities?
The questions you want to answer determine which type of analytics to use
A widely acknowledged, purpose-based classification divides analytics it into four different types: descriptive, diagnostic, predictive or prescriptive analytics.
Analyzing unstructured data – the next new trend in predictive analysis that can even predict the stock market?
A widespread view is that structured and semi-structured data constitute only about 10% of the data aggregated by companies. The remaining 90% of all data available is unstructured. Structured data breaks down well into fields and can be stored for example in a data warehouse.
Why investing into big data analytics is not enough
Big data analytics has achieved wide acceptance as a means to generate insights into what clients want and to derive good, evidence-based business decisions from it. However, while confidence in analytic decision-making is growing, there is also evidence to suggest that investments into big data analytics are not yet paying off.
Coping with all the content you need to create?
As consumers spread their attention across more and more channels and screen types, content producers are struggling to keep up. Some respond by topping up their content creation capabilities, others try to optimize them.
The evolution of search
Many of us might not have noticed the quiet revolution taking place in the world of search. Rather than examining search query terms and matching them to keywords it finds on websites, search engines are now trying to “understand” users’ queries and offer links that provide answers to them.
Who knows best where to find what online? Future trends in search
The internet is often referred to as a massive archive of “human knowledge”. It’s become universally possible to access information on virtually anything – or so it seems. For the average user, finding information can still be a weary process, unless you know how to refine your search queries or have the patience to click through endless links provided by search engines.
Staying relevant in the age of mobile finance
Mobile finance is permeating every aspect of our lives. According to a survey Google conducted in the UK, 75% of those surveyed had 1-2 financial apps installed on their phones. 44% used their apps daily whereas the most common activities were checking balances and making payments.
How content creators can prepare for AI
Search engines are becoming increasingly sophisticated. There is also a lot of advanced artificial intelligence (AI) behind personalization, i.e. recommending content to specific users or user groups. Both serve the same purpose: to deliver the right information to the right user at the right time. This goal has also been at the center of many recent changes to search engine algorithms.
Will algorithms ever understand human language?
The next frontier of artificial intelligence is natural language processing. A lot of effort is now going into improving how machines understand human writing and speech. Anyone who has ever tried Google Translate knows how difficult processing human language can be.