Here is what a recent whitepaper by Dataiku reveals about Artificial Intelligence and Machine Learning emphasising the role of data scientists. Let’s find out. The year 2018 was supposed to be the one where companies made revolutionary strides in the area of artificial intelligence (AI). But did this happen till

How AI and Machine Learning is transforming healthcare technology. How will emerging technologies improve your health outcomes and life expectancy? One word: Fast. Technological innovations are helping health care providers advance and improve the medical field at an alarming pace. And it’s not just quick. It’s also efficient. Some technologies

Over the last several years, the global database market has made significant strides toward leveraging real-time information. As telcos and other industries prepare for the transition to 5G, it’s apparent that real-time data analytics are key for organizations looking to capitalize on the promise of 5G.   Although the current

Great tech events often feature a stunt or two that attendees will be talking about long after the conference hall has closed its doors; on this front, CUBE Tech Fair 2018 certainly delivered. Attendees got to witness an audience member pilot a drone with his mind (thanks to Emotiv’s President

Big data these days is a lot like the Wild West – an untamed, vast vista with untold resources ripe for the plucking. More of it keeps coming; this year, more data will be created than has ever existed before – much of it unstructured. By 2020, forty-four times more

In the 1990s, anthropologist Robin Dunbar hypothesized that the maximum number of people an individual can personally know and remember is 150 — Dunbar’s number. The specific figure is debated, but it is common sense that the human cognitive capacity to understand relationships at scale has a limit. The larger

For those companies who have been collecting machine data for years, an incredible opportunity exists in making this data actionable. Utilizing actionable data can offer an invaluable competitive advantage by enabling companies to streamline operational processes, optimize demand forecasting and better understand their customers’ propensity to buy. In particular, predictive

Recommendation systems are ever-present in our lives today. The largest web giants – such as Google, Facebook and Amazon – use algorithms to help you find search results most relevant to you, based on your previous searches and similar data from other users. In fact, pretty much any platform that has

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses. Yes, it’s true – enterprises worldwide have

GDP forecasting for the world’s major economies is no easy task, but new tools and ideas are always offering us ever more pragmatic insights.  For that reason, I am very optimistic about the possibilities that machine learning opens up for us in macroeconomic forecasting. In my work, I try to