The year of the graph: Getting graphic, going native, reshaping the landscape
The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?
Read More →Big data, crystal balls, and looking glasses: Reviewing 2017, predicting 2018
It's this time of year again, when crystal balls meet data. Here's what's kept the data world busy in 2017, and will most likely continue to do so in 2018.
Read More →Welcome to the data-driven machine: Digital transformation in the construction industry
IoT is an enabler for unabridged data collection, which in turn enables new applications and business models. In the construction industry, some like Caterpillar have been doing it for years, others like Volvo CE are late into this game but catching up.
Read More →Machine Learning: The cloud is the new battlefield
There's a reason why every major cloud provider is backing its own machine learning framework. What's that and how do you get to choose?
Read More →A better blockchain: Bitcoin for nothing and transactions for free?
Imagine a blockchain-like protocol that promises to remove what is seen as the two biggest deficiencies in blockchain: inefficient mining and soaring transaction fees. IOTA is working on a fix.
Read More →Who’s automating the enterprise? Meet Amelia and the future of work
Imagine all enterprise functions automated by software and performed through a single point of access, which happens to be a virtual agent with cognitive capabilities. You can stop imagining and start thinking about the repercussions, because this is much closer than you may think.
Read More →The future of the future: Spark, big data insights, streaming and deep learning in the cloud
Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its positioning in the market has never been more timely.
Read More →Alice, the making of: Behind the scenes with the new AI assistant from Yandex
Did you ever wonder what it's like to build an AI personal assistant, or to bridge the language gap? Hint: There's big data and machine learning involved.
Read More →Insight platforms as a service: What they are and why they matter
The convergence of cloud, automation and collaboration has created a new class of offerings for data driven insights. We take a look at their defining characteristics, featuring analysis from Forrester and commentary from Qubole.
Read More →Raiders of the storm: The data science behind weather prediction
What kind of data and techniques are used to model and predict weather and climate? How do you reduce uncertainty and communicate complexity? Are Harvey and Irma signs of climate change, and is it going to get worse?
Read More →