Machine Learning Needs Care Too!
We agree, machine learning is a powerful technology. But before the technology can unleash its potential in your business, taking care of machine learning is your duty! We have been hearing about tons of machine learning applications for quite some time now. But, machine learning algorithms fail to offer optimized results... Read more
How AI Can Unlock the Intelligent Internet of Things
The algorithmic organisation is an organisation built around smart algorithms. Algorithms that define company processes, that deliver customer services, that take action when necessary and as such define the way the world works. Thanks to machine learning and deep learning, these algorithms will be able to understand user and/or device behaviour, learn... Read more
Great Power, Great Responsibility: The 2018 Big Data & AI Landscape
It’s been an exciting, but complex year in the data world. Just as last year, the data tech ecosystem has continued to “fire on all cylinders”.  If nothing else, data is probably even more front and center in 2018, in both business and personal conversations.  Some of the reasons, however,... Read more
Startup Watch: Automating Administration with x.ai
In our increasingly ‘smart’ age, the business world remains bogged down by administrative tasks. That’s according to a 2016 Accenture study, which found that managers ranging from the frontlines to executive level spend an average of 54% of their working time on administrative duties like scheduling meetings and writing... Read more
Think Cybersecurity? Think Machine Learning!
Due to the growing risk of hackers, companies need advanced technology for cybersecurity. Now, machine learning for cybersecurity could help companies to secure all digital assets efficiently. Organizations generate and collect a large volume of data- structured and unstructured- to improve their services. However, the disorganized data is left... Read more
Beyond IoT: Building Decentralized, Intelligent Infrastructure
As I wrote recently, the Internet of Things (IoT) has been experiencing, at a minimum, some serious growing pains.  This is particularly true for consumer IoT where a lot of old issues (interoperability) remain, while others (security) are becoming more concerning.  With a few bright exceptions, many consumer IoT products solve... Read more
When the Bubble Bursts…
Consider the following facts: NIPS submission are up 50% this year to ~4800 papers. There is significant evidence that the process of reviewing papers in machine learning is creaking under several years of exponentiating growth. Public figures often overclaim the state of AI. Money rains from the sky on ambitious... Read more
Google Announces New AI Ethos Following Project Maven Debacle
Google will cease work on the US Defense Department’s Project Maven when its contract expires next year, ending a controversial partnership between the tech giant and the military. The ensuing controversy has captivated data scientists and the public, embroiling the company in the ongoing debate about the ethics of... Read more
Visualizing IoT
Anyone who considers protocol unimportant has never dealt with a cat. — Robert Heinlein Those of you who know me from my technical, nerdy life know that I love protocols. It’s true. I simply adore bits, bytes, request messages, responses, ACKs, and message bodies. I take great pleasure from looking... Read more
GDPR: What data scientists and CIOs need to know
Tomorrow, the General Data Protection Regulation (GDPR) goes into effect in the member states of the European Union, in what may be the most extensive piece of data privacy legislation thus far in the history of data legislation. Aimed at empowering EU citizens with greater control over their digital... Read more