Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.
Narrative Science has been a regular feature on Dataconomy over the past year, from Chief Scientist Kris Hammond’s post about the impact of artificial intelligence on banking, to the launch of their Quill Connect application for processing unstructured text data from social media. I think for AI in general, the goal is not to
Whether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube
“I strongly prefer looking forward. There’s so much to build!”: An Interview With AI Researcher Trent McConaghy
Trent McConaghy has been doing AI and ML research since the mid 90s. He co-founded ascribe GmbH, which enables copyright protection via internet-scale ML and the blockchain. Before that, he co-founded Solido where he applied ML to circuit design; the majority of big semis now use Solido. Before that, he
Powering real-time applications involves scaling not only existing enterprise applications, but also new applications that have emerged from the web, social media, and mobile devices. Overwhelmed by massive data growth, businesses must carefully select cost-effective technologies that can enable applications to easily manage both the data volumes of today and
For the first time in hundreds of years, writing is set for an evolution. Certainly, throughout the past several centuries, how people write has changed. From etching on stone and metal tablets and quill pens to movable type and the art of the swipe, the instruments enabling humans to write
Predictive Machine Learning — Behind The Scenes at Fliptop (and Predictions for the Future of MarTech)
Big data is a big deal. Unfortunately, due to the sheer volume and velocity at which its created, many organizations still struggle to make sense of their data. Furthermore, because data is dispersed across so many disparate platforms (e.g. marketing automation, CRMs, Google Analytics, etc.), it’s become increasingly difficult to
The collision between people and big data has caused an explosion of machine learning innovations, with one natural home being in modern data preparation – the steps of understanding, cleaning, shaping, and correlating data prior to it being ready for analytics. For thirty years, there have really only been two
Everyone likes to save money–and when you’re running a huge business like Zalando, saving money by making your systems more efficient can mean saving millions of Euros. That’s why I’m excited to tell you that the Zalando Data Intelligence team recently found a way to save us piles of money.
Word is that Snapchat, the Los Angeles based photo messaging application, is preparing a foray into a very hot branch of artificial intellligence – deep learning. Citing a knowledgeable source, VentureBeat reveals that the popular app, with an interest in deep learning has been developing a research team “to run
The second day at F8, Facebook’s annual developer conference, saw quite a few updates from the social networking giant. Facebook’s Chief Technology Officer, Mike Schroepfer, addressed their “long-term technology investments” in Connectivity Lab, Facebook AI Research and Oculus. Speaking about Facebook’s AI endeavour, Schroepfer said demonstrated how they have progressed