Artificial Intelligence (AI), Machine Learning (ML), Robotics and even Augmented Reality (AR) and Virtual Reality (VR) may all have a role to play in the data centre of the future. However, what are the demands being made on the data centre itself when it comes to supporting the development and use of these intelligent automation systems across all industry sectors?
Amazon's cloud platform - Amazon Web Services or AWS - has been operational for the past 13 years and over this time, has over 165 features as offeringss for computer storage, database, networking, analytics, robotics, machine learning (ML), Artificial Intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management. Also read: Tech for good: Here's why AWS' Andy Jassy is betting big on AI and Blockchain YourStory: How are new technologies at AWS helping clients' businesses? Olivier Klein: When we talk about technologies, it is not a specific list, it is about technologies that help redefine customer experiences or just improve overall operational efficiency. A big chunk of customer experience goes into data analytics - artificial intelligence (AI) and machine learning (ML) space. This in turn is used in, for example, understanding voice or speech better.
Twenty-five percent of customer service and support operations will integrate virtual customer assistant (VCA) or chatbot technology across engagement channels by 2020, up from less than two percent in 2017, according to Gartner, Inc. Speaking at the Gartner Customer Experience Summit in Tokyo today, Gene Alvarez, managing vice president at Gartner, said more than half of organizations have already invested in VCAs for customer service, as they realize the advantages of automated self-service, together with the ability to escalate to a human agent in complex situations. "As more customers engage on digital channels, VCAs are being implemented for handling customer requests on websites, mobile apps, consumer messaging apps and social networks," Mr. Alvarez said. "This is underpinned by improvements in natural-language processing, machine learning and intent-matching capabilities." Organizations report a reduction of up to 70 percent in call, chat and/or email inquiries after implementing a VCA, according to Gartner research. They also report increased customer satisfaction and a 33 percent saving per voice engagement.
It's important to note that most of these ideas aren't new. Roboticists, for example, have long studied human-computer interaction. And the field of science, technology, and society have what's known as the "actor-network theory," a framework for describing everything in the social and natural worlds--both humans and algorithms--as actors that somehow relate to one another. But for the most part, each of these efforts have been siloed in separate disciplines. Bringing them together under one umbrella helps align their goals, formalize a common language, and foster interdisciplinary collaborations.
Stakeholders of this ecosystem are on a continuous drive to discover innovative and cost-effective ways to make this environment more patientcentric, secure and efficient. The stakeholders of healthcare are being pushed to identify ways to move from'volume' to'value', engage with patients and improve experiences, increase access, and improve care. Creating a positive margin, improving financial performance and operating margins become other areas of concern in a changing and dynamic health economy. We are moving into a world where information abounds, and patients are no longer passive receivers of care. Driven by their experiences in other industries, the consumers of healthcare, i.e. the patients, want similar, if not better, healthcare experiences.
AI Artificial Intelligence concept about finding searching or scan system problem. One of the key drivers of the AI (Artificial Intelligence) revolution is open source software. With languages like Python and platforms such as TensorFlow, anybody can create sophisticated models. Yet this does not mean the applications will be useful. They may wind up doing more harm than good, as we've seen with cases involving bias.
Will it printed on paper or projected in 3D? Prophesying the future is hard. But, like fortune telling with tea leaves, sometimes the future can be glimpsed in what's here right now. Last year, Charlie Brooker's Black Mirror: Bandersnatch – a nihilistic choose-your-own-adventure style film with five main endings – introduced Netflix viewers to a term that has only recently entered the TV lexicon: interactive storytelling. Following up-and-coming developer Stefan as he works tirelessly to create the most complex video game of 1984, Bandersnatch calls on the viewer to make his choices. Do you angrily douse your computer in tea or yell at your dad to blow off steam?
Next-generation wheelchairs could incorporate brain-controlled robotic arms and rentable add-on motors in order to help people with disabilities more easily carry out daily tasks or get around a city. Professor Nicolás García-Aracil from the Universidad Miguel Hernández (UMH) in Elche, Spain, has developed an automated wheelchair with an exoskeleton robotic arm to use at home, as part of a project called AIDE. It uses artificial intelligence to extract relevant information from the user, such as their behaviour, intentions and emotional state, and also analyses its environmental surroundings, he says. The system, which is based on an arm exoskeleton attached to a robotised wheelchair, is designed to help people living with various degrees and forms of disabilities carry out daily functions such as eating, drinking, and washing up, on their own and at home. While the user sits in the wheelchair, they wear the robotised arm to help them grasp objects and bring them close -- or as the whole system is connected to the home automation system they can ask the wheelchair to move in a specific direction or go into a particular room.
If you believe tech optimists, 10 years from now self-driving cars will be ubiquitous, drones will deliver our parcels, and robots will bring us our groceries. And one day soon, our cities will be painted with augmented reality that feels as if it belongs to the street corner where it was placed. Whether or not any of that comes to pass, one piece of the puzzle will be crucial to this future: ultra-precise location technology. GPS and the wandering blue dot on smartphone mapping apps are useful for a human navigating an unfamiliar city, but that just won't cut it for machines. They will need to know where things are down to the centimeter.
Artificial intelligence (AI) changes the way we go about our everyday lives. Consider Apple's line of mobile devices with Siri. And think about Amazon's smart home products featuring Alexa. They make us comfortable interacting with a virtual assistant. These forms of AI make our lives easier and help us perform hands-free tasks.