Sir Michael Barber on getting ready for 21st century government


The last time I sat down to interview Sir Michael Barber, the world looked and felt a very different place. Even a few years ago, Donald Trump's tweets were making international headlines, Brexit had its supporters and detractors, and North Korea was an unpredictable rogue state harbouring nuclear ambitions. And just like today, governments the world over were striving to gain control over a fast-changing environment pock-marked by new technologies, diverse policy approaches and different ways to improve public impact. But of course, some changes are hard to miss. Artificial intelligence (AI), for example, is fast moving from concept to reality.

Four startups that are poised to revolutionize e-commerce in 2018


Robotics and big data have already revolutionized e-commerce. These companies are helping to distribute that revolution evenly. Drone delivery is already available, albeit in limited markets. Flytrex, a drone logistics company, is well on the way to changing that. The company launched the world's first fully autonomous drone delivery system in Iceland this year, cutting average delivery times for e-commerce company AHA by over 75 percent on certain items while saving 60 percent in delivery costs.

Machine Learning: The hot technology keeping products cool Chain Store Age


With retail undergoing a massive transformation, machine learning has become an innovative asset, changing the way organizations deliver customer experiences. As companies adopt advanced technologies that are easily implemented and show worthwhile return on investment, there is a massive opportunity to help customers take and complete this digital journey – not just to innovate, but to scale as a digital business. With artificial intelligence (AI) and machine learning platforms, organizations' front and back-office processes are evolving. Many food and beverage companies are using AI, machine learning, and automation to revolutionize critical aspects of their businesses. Food and beverage retailers who stand out are leveraging a suite of machine learning platforms to guarantee products are maintained properly.

Baedal Minjok raised USD 32M from Naver to enhance its food ordering AI technology


It is expected that, through this investment, cooperation between two companies will be improved in the field of future technology, such as artificial intelligence (AI) and a support system for small business owners. Woowa Bros will focus on securing and strengthening future industry competitiveness, such as artificial intelligence technology and autonomous navigation robot technology. Naver is testing the process of ordering food through AI speakers using the voice recognition function. Besides its commission-free delivery app, Baedal Minjok, Woowa Bros is also running the premium dining delivery service, Baemin Riders, and side dish delivery service, Baeminchan. In the beginning of this year, Woowa Bros launched its own AI Project called Baemin David, and is being recognized as an industry leader who is actively responding to future technologies.

Amazon makes Cambridge heart of Alexa and drone innovation with new offices

The Guardian

Amazon has reiterated its commitment to the UK by opening a new so-called Development Centre in the heart of Cambridge – three storeys of premium office space housing 400 employees dedicated to research for products from Amazon's AI-assistant Alexa to the brave new field of Prime Air drone deliveries. The new development joins Amazon's original Castle Park building in Cambridge to house an interdisciplinary team of engineers, scientists and researchers – dubbed Amazon Research Cambridge – dedicated to "pure innovation", according to Amazon's UK boss, Doug Gurr. "The UK has fantastic history of innovation, with hundreds of years at the absolute cutting edge of innovation, and that continues to be true today," said Gurr. "When picking a site for a development centre you have to start with where you find the world's best scientists, engineers and technologists. But it also has to be somewhere that people want to come and live. Cambridge is a fabulous town where people want to live and work."

No more Uber, Hertz, or even car owners: How Amazon and Apple will take us all for a ride


Driven to distraction: Why IBM's Watson is getting onboard with self-driving vehicles and impatient passengers IBM has teamed up with Local Motors for a new autonomous vehicle. Here's how it will handle difficult passengers - and why you won't be able to buy one. I am, as a product of Generation X, perhaps one of the final generations to be obsessed with the notion of car ownership. I love the different body designs. I love how each one drives differently.

AI and blockchain: Solving supply chain's transparency problem Technology


Marco Polo, Columbus, and Afonso de Albuquerque were more than explorers. They didn't merely seek silk and spices, but looked to develop new markets, pioneer the best routes to reach them, and gather vast volumes of information on winds and tides, languages, people and local customs to aid the merchants who followed in their wake. They were, in their own way, the data scientists of their time. Data has always been a fundamental component of international trade and transportation, but never has so much information been available as today. Remote sensing, telematics, connected devices and vehicles all generate huge volumes of valuable data – the only challenge for organisations in the logistics and supply chain industry is how to harness this information and turn it into insight.

NASA Is Working On Making Drones A Part Of Every City

International Business Times

When you think of NASA you probably think of the missions to the moon or the International Space Station but the agency has plans to start conducting some work closer to the Earth's surface soon. The agency's Aeronautics Research Mission Directorate is working on research and implementation of Urban Air Mobility or UAM for the coming years. NASA defines UAM as "a safe and efficient system for air passenger and cargo transportation within an urban area," said a release from NASA. These include small package delivery, like drone or Unmanned Aerial Systems (UAS) deliveries, and other services that could be controlled from onboard, on the ground or could potentially be autonomous. NASA is helping companies looking to add urban air mobility to cities. Photo: NASA Not only is NASA working on developing these technologies as it has for the past six or so years, but it's also working to create more successful management of those technologies.

Go Beyond Spare Parts with 3D Printing and Machine Learning


This type of approach is extremely versatile, and allows manufacturing teams to visualize large design projects through miniature scale models, design and create small runs of custom parts and equipment for customers and prototype new products. As 3D printing speeds increase, Gartner predicts the 3D printing industry will be a $4.6 billion market by 2019. Until now, the primary application for 3D printing in discrete industries has been prototyping new parts and equipment, but there's significant room for expansion, especially in the efficient fabrication of spare parts. Most discrete manufacturers are already producing spare parts, but few have adopted tactical 3D printing as an update to their process. The lead time currently required to create many spare parts can be both long and expensive, so the only way to ensure these parts are available to the customer in a timely fashion is to create and store them in advance.

How to derive actionable insights from raw data and then use AI to optimize your operations Access AI


Posted: 29 August 2017 By Syed Ahmed, CTO of Have you wondered how much of your data can provide actual actionable insights? I constantly get asked about how companies can better use their data for insights and create machine learning learning programs around it. I typically ask them these questions which are relatively simple and you can find them in every statistics book. Below are just a few samples of what is typically expected from a non technical conversation around data.