AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate

I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the

No longer considered the “future of work,” AI is infiltrating industries and job roles at impactful rates. Across the U.S. economy, one-third of the U.S. workers are interacting with some form of AI in their jobs today – even if many of these interactions are still in a limited capacity.

Organizations implementing AI have increased by 270 per cent over the last four years, according to a recent survey by Gartner. Even though the implementation of AI is a growing trend, 63 per cent of organizations haven’t deployed this technology. What is holding them back: cost, talent shortage? For many

Last year, we set up a prediction model on crime in London. We had established the model already, grounded in open data, but updated it to make predictions about 2017. We took the data provided by the police in the greater London area, and by enriching this data with Points

In terms of pioneering data-based technology, IBM are the gold standard. Indeed, IBM has held the record for receiving the most patents every year for the past 25 years and has developed countless revolutionary technologies, from SQL to the world’s fastest supercomputer. It should come as no surprise that IBM

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains

Preparations are well underway for the 2018 edition of Data Natives– the data driven conference of the future, hosted in Dataconomy’s hometown of Berlin. Data Natives brings together a global community of data-driven pioneers to explore the technologies that are shaping our world- from big data to blockchain, from AI

Artificial intelligence (AI) has been around for decades, but only recently has it begun to emerge as a viable field with massive commercial opportunity. Why now? The proliferation of data. Data is the fuel that feeds AI and is opening opportunities that we can only have imagined until now. And,

Tech Open Air (TOA) Berlin took place over three days (July 13-July 15). With more than 150 speakers and 11,221 attendees, the event shaped up to be one of Europe’s leading interdisciplinary technology festivals. Attendees participated in a two day conference and more than 175 satellite events took place where