We researched the necessary/must-have and desirable/nice-to-have skills Fortune 500 companies look for when hiring engineers to work on solutions requiring expertise in Machine Learning, Data Science, Big Data etc. Our motive is to keep this list updated so it's relevant.

New research from Adobe and Goldsmiths University of London has looked at the future of customer experience, with some surprising findings on machine-learning, IoT, Artificial Intelligence (AI) and Virtual Reality (VR). 'The Future of Experience' report was published yesterday, with its findings revealed at Adobe's Cross-Channel Marketing Forum in London. IoB attended the event to learn more about the report. The report reveals new rules of engagement when it comes to brands creating great experiences using a range of emerging technologies, such as VR, AR, AI, wearables and the IoT. Goldsmiths University of London worked with Adobe on qualitative online research with over 2,000 adults in the UK, as well as workshops with technology experts, and the resulting report identifies five new dimensions for brands to think about when creating experiences for the future.

Speaking very prospectively about IT, in 10-15 years, being firm at a computer like device and being able to speak a computer language (know how to code) will be more or less basic education. In foreseeable future IT will have such an extraordinary importance and impact, that this fact will be mirrored in the organizational framework of every company. An increasing number of comprehensive set of different Director and C-Roles all with regard to IT will appear. Even the small and middle-sized businesses will need a CIO/CTO as well as a Chief Security Officer. Furthermore, business success will largely depend on the goodness of the IT backbone of a company.

Ever imagined that one day a social networking website like Facebook will automatically start describing the content of photos especially to the blind and visually impaired users? Also, wondered how Google predicts what you are looking for the moment you type'Goa' and starts showing results in the form of air tickets and destinations in Goa to visit? Or how Apple can analyse your facial expressions and read your emotions besides recognising your speech? These phenomena are nothing but virtually advanced solutions that global tech giants are investing in using Artificial Intelligence and machine learning techniques to make our lives better. These major driving forces of the new generation of the web have the potential to disrupt a lot beyond the offerings by these corporate giants.

A high British entrepreneur thinks he is solved the issue of our over-stretched NHS – a private robotic physician you'll be able to entry with the press of a button. Babylon is being hailed because the world's first synthetic intelligence triage nurse and may be accessed on a smartphone at any time. On the app's launch in London yesterday, Ali stated his machine outperforms the well being service and is a "phenomenal step" in the way forward for each the NHS and world healthcare. "Within the final three weeks, 20,000 folks used our symptom checker and in the identical time interval 600,000 folks used the 111 helpline – that is three% of individuals already," he mentioned at Babylon's HQ in West London. In response to Babylon's calculations, in 102 medical eventualities the well being app outperforms medical doctors by 21.5% and nurses by 23.5%.

She paints and writes poetry. She's also an artificial intelligence from the movie Her, which imagines how a juiced-up Siri will change our lives. Now, tech companies large and small are racing to make this a reality. You've heard the jargon: AI, machine learning, deep learning, neural networks, natural language processing. AI, simply put, is an attempt to make computers as smart, or even smarter than human beings.

In March, Microsoft revealed that it was using the open-world game Minecraft to train AI agents to learn how to do things like climbing a hill. The company also promised to make it available to the public so they could work on their own artificial intelligence projects and research, and it's finally available today. Project Malmo (formerly known as Project AIX) is a Minecraft mod that works on Windows, Mac and Linux, and supports just about any programming language you might want to use. So yes, that means you will need to know how to code – but Microsoft says that even novice programmers can get in on the action. You can learn more about Project Malmo here and grab the mod from this GitHub repository to try it for yourself.

Artificial Intelligence and the Internet of Things Everyone knows that the Internet of Things is big, really big. It's so big, in fact, that trying to manage even a small slice of it will challenge the savviest of tech professionals. That's what artificial intelligence (AI) can play a valuable role. By using AI, companies can tackle and otherwise insurmountable task, namely getting a handle on IoT in order to get value from it. Register for this episode of DM Radio to hear Host Eric Kavanagh interview Leo Sadovy of SAS, Dan Graham of Teradata and Eric Hewitt of Understoryweather.

In Personalization at Amazon, we use neural networks to generate personalized product recommendations for our customers. Amazon's product catalog is huge compared to the number of products that a customer has purchased, making our datasets extremely sparse. And with hundreds of millions of customers and products, our neural network models often have to be distributed across multiple GPUs to meet space and time constraints. For this reason, we have created and open-sourced DSSTNE, the Deep Scalable Sparse Tensor Neural Engine, which runs entirely on the GPU. We use DSSTNE to train neural networks and generate recommendations that power various personalized experiences on the retail website and Amazon devices.

The Roll is a new smart app that can help you organize the thousands of photos you take with your mobile phone. The app scans a photo library, analyzes each image and tries to detect the ones that are similar. It then sorts the images into groups so copies can be deleted. The app also gives each image a score as a measure of its quality. It doesn't always get it right: a professional fashion image taken in a studio obtained a quality score of 50%, although it may help the user to know which photos are better or worse before sharing them.