If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with

With ecommerce sales skyrocketing, the options for online transactions are manifold. But what are the problems that come with these many choices to pay? Find out.  Global e-commerce sales hit $29 trillion in 2017 according to data released by the United Nations Conference on Trade and Development (UNCTAD) early this

In an increasingly competitive market, how are fintech companies adapting to improve their decision making? In industries such as insurance, capital markets, cryptocurrency, wealth and asset management — alternative data is proving to be a valuable source of insight. Like a broken leaf to a hunter or a change of

Banking as a Service (BaaS) is the democratisation of financial capabilities that have fiercely been protected, isolated and hidden in silos for hundreds of years by banks. The fact that BaaS opens up banks’ capabilities and essentially empowers anyone to be able to create their own financial products, goes against

When considering the growth and productivity of organizations in different fields, it doesn’t take too much time to see a pattern on how maintenance strategies are common throughout all consistently thriving operations. Predictive maintenance is amongst the most impactful of strategy plans because it centers itself on forecasting issues before

With a saturated analytics and business intelligence (A&BI) market, why are we still struggling to make analytics platforms work for Data Scientists? And perhaps more importantly, why are we failing to see a return on our expensive Data Science initiatives? It’s not for a lack of effort, a lack of

How are dynamic IT operations affecting company culture? What do businesses need to understand about data driven AI to successfully drive their operations into the future? Risks that previously stayed inside organizational units, such as IT Ops, now leak across domains, influencing decision-making for the entire company. These factors, including

What algorithms do dating apps use to find your next match? How is your personal data impacting your decision to go on a date? How is AI affecting your dating life?  Find out below. Technology has changed the way we communicate, the way we move, and the way we consume

Can you fight cancer with the help of Big Data and Machine Learning? How can these technologies help in the procedure of diagnosis, drug discovery and treating cancer? Cancer is an ailment with a long tail distribution. This implies there are different explanations for this condition to take place with

What is the future of AI in Europe and what does it take to build an AI solution that is attractive to investors and customers at the same time? How do we reimagine the battle of “AI vs Human Creativity” in Europe?  Is there any company that is not using