3rd August 2015

DeepFace, Apple Pay and information lifecycle management… These are some of our top news stories from last week:

Machine learning is a hot topic in the analytics sector. One of the more innovative developments has been the emergence of 'Deep Learning' and its application to facial recognition technology. Earlier this week David Di Domenico shared his thoughts on Facebook's DeepFace facial recognition technology, that can detect faces with 97.25% accuracy, and what possibilities there are for security:

Facebook's new facial recognition: accurate as a human?

Apple Pay has finally come to the UK and with it, countless possibilities for innovations across financial services and retail through omni-channel marketing. In his second blog this week David Di Domenico, Managing Director of IQ Analytics discusses the future for Apple Pay - Is this the next disruptive technology to transform our daily lives?

Is Apple Pay & NFC Ushering in a New Dawn in Omnichannel Marketing?

Growth in IoT is set to drive development across megatrend technologies and social is no exception. Social networks, forged in data, are the perfect platform to deliver the value of smart devices and the data they generate to consumers. However, as privacy concerns grow, do consumers want social to manage this type of private data?

Why the IoT will be at the heart of the next social innovation

With 25 billion devices connected to this internet this year, IoT will provide hackers with more opportunities than ever before. How do companies protect themselves amidst the mobilisation of cybercrime and what will the impact be for a more connected world?

The Security of Things: information security and IoT

And finally…

In the advent of social media messaging services, we are continually increasing the amount of communications that we send throughout our daily lives, from Facebook and Twitter that store these messages to growing platforms such as snapchat that provide disposable communication. But what is the future for these services and how will information lifecycle trends shift in the future?

Ephemeral v.s. perpetual messaging: thinking outside the timeline

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