How To Use Artificial Intelligence In Blockchain Technology

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Artificial intelligence has been fascinating to the human imagination since the term was first used by the first science fiction writers. The roots of the concept of "artificial intelligence" must be sought deep in the ancient world, where folklore, legends and myths in almost every culture spoke of artificially created creatures endowed with supernatural intelligence, consciousness or other human qualities. The only factor uniting the myths of the whole world is that artificial intelligence was always created by a man so passionate about his work that his brainchild went beyond the boundaries of matter and turned into life, sometimes surpassing man. Now we are standing at the crossroads of history, where two progressive technologies are beginning to merge and produce an absolutely new phenomenon. At first glance, the apparent antithesis of AI, the blockchain technology, exploded on the global technology arena as progress in technological constraints; a revolution that announced the creation of completely new industries and new perspectives.


10 Technologies & Trends That Will Dominate In 2018

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A successful startup is associated with a brilliant idea accompanied by brilliant execution. Startups oftentimes base their innovations on the latest technologies and trends. In fact, the innovations they come up with are sometimes so incredible that it is received very well by the market. Technology changes at a fast pace but gives enough opportunities for innovation. So, those planning to build a startup or aiming to update their business models can base it on the technologies described below.


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An increasingly multi-layered digital mesh and new channels such as chatbots, AR, VR and mixed reality means our data is used in new ways that goes beyond what we now call the internet and digital or mobile influence. Forget the information or digital economy, the automation economy increasingly scales machine learning, algorithms and AI to the point where many of our jobs are affected. As mobile devices continue to replace PCs and secretaries, the device mesh, smarter apps and innovation in IoT and new more powerful wearable devices means sensors in the IoT device mesh become more accessible. Facial recognition, drones, wearables and new kinds of VR, AR and mixed reality mix with video to create new modes of expression and social interaction.


Most Disruptive Tech Trends of 2017

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As an amateur futurist I'm always watching the trends of innovation, here are some technology trends I'm keeping a close eye on as we approach 2017. Now we are entering a period where the convergence of multiple technologies and integrations results in an exponentially increasing potential for disruption in the future of work, commerce, manufacturing, Bigdata and AI. Distributed ledger technology that are decentralized databases that are hacker and fraud proof don't just have the potential to impact Banking and FinTech, but transform how our digital identity and customer reviews work. In an era where trust in at an all-time low between citizens and institutions, the blockchain can give the fallen credibility of various institutions a new measure of legitimacy. You would not have thought Amazon's 9-inch tall cylinder speaker controlled by a cloud-based voice assistant that goes by the name Alexa would change the world, but it's becoming increasingly apparent this product is a deal-breaker that not only tap into chatbots, product search and ecommerce but the future of how apps work together via a personal assistant.


AI, Intelligent Apps and Intelligent Things Top Gartner's 10 Trends to Watch

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AI imbued throughout the enterprise is the major technology trend for 2017, according industry watcher Gartner Group. The company announced its prognostications today at the annual Gartner Symposium/ITxpo in Orlando. "Gartner's top 10 strategic technology trends for 2017 set the stage for the Intelligent Digital Mesh," said David Cearley, vice president and Gartner Fellow. "The first three embrace'Intelligence Everywhere,' how data science technologies and approaches are evolving to include advanced machine learning and artificial intelligence allowing the creation of intelligent physical and software-based systems that are programmed to learn and adapt. The next three trends focus on the digital world and how the physical and digital worlds are becoming more intertwined.