1. Articles in category: Cutting-Edge Tech

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    1. No robots required: AI will eliminate these jobs first

      AI is poised to shake up IT work, eliminating jobs and creating opportunities alike. RPA will be deployed to automate mundane and highly repeatable tasks, such as monitoring systems, distributing software, rerouting workloads, support, and provisioning. Gathering and analyzing massive amounts of data from disparate sources is a prime candidate for applying intelligent algorithms.  An area where AI will change the lives of IT pros is its ability to sift through petabytes of data, identifying patterns and looking for anomalies.

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    2. Blockchain’s hype exceeds its grasp – for now

      Blockchain has been touted by venture capitalists, technophiles and pundits as the Next Big Thing in computer science. The reality, however, is that the digital ledger software at the heart of Bitcoin and other cryptocurrencies has a long way to go before it gains mainstream adoption. Broad adoption of blockchain technology is likely years away as companies struggle to understand how to apply the digital ledger technology to practical scenarios amid regulatory, governance and standards obstacles.

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    3. Blockchain and the CIO: a new model for IT

      The most important emerging technology for the enterprise – and therefore the CIO – is not big data, the social web, artificial intelligence, robotics or the cloud – it’s blockchain. At its most basic, blockchain is a global database– an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions, but virtually everything of value and importance to humankind.

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    4. How ready is the Internet for IoT?

      We’re currently witnessing rapidly expanding product launches and sky-high elevated expectations from the emerging deployment of the Internet of Things in both personal and commercial domains. But, the public Internet, as a global networking medium for IoT solutions, does not come with a service-level agreement (SLA). The Internet currently provides little in terms of quality of service (QoS) guarantees, namely latency, reliability, security and availability. It is that observation that implies the rather fundamental question: Is the Internet ready for IoT?

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    5. AI and cognitive computing: how to distinguish the real value proposition

      There have been a number of accomplishments around AI and cognitive computing. How do these accomplishments translate into a real value proposition for businesses? Building applications that understand concepts is a very powerful enabler for your business. Think of the competitive advantage one can gain by delivering smart applications that can learn of the business user’s intent, and yet are flexible enough not to lock you into a vendor’s proprietary solution. 

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    6. No IoT without IPv6

      Do you think the Internet of Things (IoT) will be the Next Big Thing? It can’t be. Not until we get past the real Next Big Thing: IPv6. Without the extensive global adoption and successful deployment of IPv6 as the primary version of the Internet Protocol, the IoT won’t be possible. In fact, this article gives five reasons why the future of the Internet itself is at stake. 

       

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    7. Google's Tensor Processing Unit could advance Moore's Law 7 years into the future

      Forget the CPU, GPU, and FPGA, Google says its Tensor Processing Unit, or TPU, advances machine learning capability by a factor of three generations.“TPUs deliver an order of magnitude higher performance per watt than all commercially available GPUs and FPGA,” said Google CEO Sundar Pichai during the company’s I/O developer conference on Wednesday.

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    8. Digital manufacturing could eliminate warehouses, create on-demand production

      As manufacturing industries go digital, products that were once generated via a set of build plans are now created in digital files that can be exported anywhere in the world. When 3D printing is added to that equation, products are no longer produced in anticipation of orders, but on demand, as needed. There are, however, existing cultural industry biases -- engineers and designers who are entrenched in conventional manufacturing methods -- that limit the adoption of 3D printing, stifling its full potential.

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    9. The drone race is on

      We’ve seen an increase in drone investments on a huge scale, many new entrants into the field, and more mainstream companies getting into the marketplace. All the ingredients are in place to ensure that drones will continue to get better, faster, safer and cheaper, and there is a healthy marketplace to consume the drones. Silicon Valley is still leading the way  to create layers of companies to service the needs of these new consumers and commercial applications

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    10. Smart-home technology must work harder to create smarter consumers

      Attendees of the Consumer Electronics Show in Las Vegas this year were confronted with a head-spinning volume of smart-home devices. Really smart companies and entrepreneurs have built impressive pieces of the smart-home puzzle, but these pieces have not been connected yet in a way that has, to date, empowered a smarter consumer. To close the gap between availability and adoption, all stakeholders in the smart-home ecosystem — device manufacturers, technology providers, utilities, integrators and interoperability standards bodies — must expand the focus from creating a smart home to empowering a smarter consumer through actionable data. This can be achieved through several strategies.

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    11. Clarifying the uses of artificial intelligence in the enterprise

      Artificial intelligence. It’s dominating headlines with the promise of self-driving cars and virtual assistants becoming more real every day. But despite all the talk around AI, no one seems to really understand what it is or how companies can use it. The efforts of OpenAI and industry development around AI are exciting, but it’s important to accelerate understanding of the topic and terminology. With this in mind, here’s a primer on artificial intelligence and what it means for business.

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    12. New Siri sibling Viv may be next step in A.I. evolution

      With the creators of Siri offering up a new personal assistant that won't just tell you what pizza is but can order one for you, artificial intelligence is showing a huge leap forward. Viv is an artificial intelligence (AI) platform built by Dag Kittlaus and Adam Cheyer, the creators of the AI behind Apple's Siri, the most well-known digital assistant in the world. If Viv works as well as expected, it won't just be a challenger for Siri. It will also take on, and some say overshadow, other digital assistants like Microsoft's Cortana

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    13. The next AI is no AI

      Artificial Intelligence is starting to turn invisible from the outside in — and vice versa. The exact effects and workings of AI technologies are becoming more challenging to perceive and comprehend for humans. Even the experts themselves don’t always fully understand how an AI system operates. Effectively, as the impact of AI technologies increases, the more limited becomes our ability to understand their impact. What does this mean for human agency and the future of artificial intelligence?

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    14. Are you ready for a fourth generation of enterprise flash storage?

      Flash has outstripped Moore’s Law. Flash can be used not just to accelerate IT, but to transform it – and in the process to enable whole new ways of building applications and give IT the agility it needs to keep up with today’s business. A move to the fourth generation of flash is about teaching developers and systems analysts new ways of thinking that make use of flash’s unique properties, and then using those properties to re-engineer business processes

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    15. From tacos to HR, chatbots make it personal

      Chatbots are emerging as a shiny new tool for enterprises. These virtual assistants can differentiate themselves by personalizing the software with contextual information such as location. ADP is building bots that automate HR tasks such as sending a job to a prospective hire to alerting employees to use their accrued vacation time. Bots will alter the workflow of enterprise software from the dreaded "pull mode," where you scour your HR apps for information, to a "push mode," delivering relevant information at the right time.

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    16. Why image recognition is about to transform business

      From programs that help the visually impaired and safety features in cars that detect large animals to auto-organizing untagged photo collections and extracting business insights from socially shared pictures, the benefits of image recognition, or computer vision, are only just beginning to make their way into the world — but they’re doing so with increasing frequency and depth. As with other forms of AI — natural language procession, bioinformatics, gaming — the field of computer vision has benefited greatly from the expansion of open-source, deep learning technology, user-friendly programming tools and faster and more affordable computing.

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    17. The necessary evil: Enterprise IoT needs a new middleware

      The emergence of enterprise IoT has brought together a new set of integration challenges connecting the new world of smart devices with existing line of business systems. The integration challenges created by enterprise IoT topologies have been unprecedented in the enterprise. Never before have companies encountered integration scenarios involving such a large number of endpoints, such large volumes of data, and such heterogeneous environments. Quickly, enterprises are discovering a new reality: IoT requires a new type of middleware

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    18. The consumerisation of machine intelligence

      Machine intelligence is improving fast and IT leaders need to plan for its effect on enterprise IT. Today, the giants of the industry – Google, Apple, Facebook, Amazon, Microsoft, Samsung, Alibaba – are all rooted in various consumer marketplaces, and consumerisation has become the conventional industry wisdom. But this doesn’t mean consumerisation has matured, or even that it is fully understood. Consumerisation is still gaining momentum, and is now expanding into areas that few of us imagined in 2004.

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    19. Cognitive automation gives employees the freedom to innovate

      Cognitive automation is not just a component of technology implementation, but part of a holistic strategy that reaches across the enterprise, potentially improving the performance of every employee. CIOs and the enterprises they lead are now at an inflection point in the way that humans and technology work together in the business ecosystem, with companies utilizing cognitive automation as a way to shift workflow dynamics and unleash the potential for every employee to be an innovator.

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    20. What companies need to know when considering automation

      As the hype continues around Robotic Process Automation (RPA) and Artificial Intelligence (AI), organizations are looking to invest additional efforts to better understand potential benefits and risks associated with these. The fact of the matter: RPA and AI are already a reality and many service providers are taking an active role in the lookout for opportunities to maximize their service delivery models, profits and increased client satisfaction. This article consists of some ideas and considerations for organizations prior to determine a course of action

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    21. Nvidia announces a supercomputer aimed at deep learning and AI

      The sophisticated neural networks underlying systems like Google’s Deep Dream and all manner of interesting experiments require a great deal of computing power. Nvidia proposes to put all that horsepower in a single box, specially engineered to meet the needs of AI researchers. There are 8 Tesla P100 cards in there with 16 GB of RAM each, plus 7 TB of storage for all the raw data you’ll be training your networks on. 

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