Data science and AI are two powerful tools that can help decision makers in many different ways.
AI can be used to predict future outcomes, which is very useful for decision makers. It can also be used to optimize the process of making decisions, by reducing the time it takes to make a decision and improving the accuracy of those decisions.
Data science can also be used for decision-making purposes. It is often applied in marketing, where it is used to study customers’ preferences and make predictions about their behavior.
Data science rules the world It’s impossible these days to be in the world of tech and not hear about data, AI and machine learning. Everyone is talking about things like data science, using data to drive their decisions, improving their efficiencies and increasing their sales using insights generated from Read more…
This year I had the chance to teach Social Media Analytics at the Cyprus International Institute of Management. Social media analytics is not really recognised as an independent field. It is more of a collection of techniques applied to data gathered from social media. However, I believe that we should Read more…
Visiting the city of Pittsburgh Recently, I had the opportunity to become a YTILI (Young Transatlantic Leader’s Initiative) fellow. YTILI is a program run by the German Marshall Fund and the State Department and cultivates relationships between Europe and the U.S. As part of my placement I stayed for 2 weeks Read more…
Rise of the data science architect I believe there is a new role in data that businesses need to start taking into account, that of the data science architect. What is a data science architect? It is a mix between a data scientist and a data engineer. Data science is (according Read more…
Election forecasting: Trump and brexit In 2016, Donald Trump became the new president of the United States, and what was once improbable, according to election forecasts, became reality. As it happened with Brexit most polls got it completely wrong. The graph below shows the poll history for the 2016 US presidential election. Read more…
Team Data Science Process I have talked in the past in this blog about the need for standardisation of data science and data science processes. Microsoft has made progress on that front. It has released a particular methodology called TDSP (Team Data Science Process). This is an attempt to formalise the way Read more…
What is a data strategy? Data strategy is the one thing many companies need, especially startups, even if they don’t know it. So, what is a data strategy? How can we define it? A data strategy is defined as the strategy around the collection, storage and usage of a data, in a Read more…
Today’s blog post comes by guest blogger Dr. Theodosis Mourouzis. Theodosis is a lecturer of information management at CIIM, with extensive industrial and academic experience in the UK. His research interests lie in cybersecurity and data analysis. Financial Technology (FinTech) is an economic ecosystem or industry consisting of companies, mainly Read more…
The importance of a data-driven culture With the world around us being more and more data-driven, organizations are trying to catch-up. One of the most interesting challenges for organizations which have been running long before the data revolution is how to create a data-driven culture. I have lots of experience Read more…
AI and the new economy A topic that has come up quite recently in public discussion is the changes that Artificial Intelligence (AI) is bringing to the global economy. Increased automation is overtaking jobs and this trend is only going to go up. An interesting article on the Economist already discussed about this, while Read more…
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