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Everything is heading towards digitisation. Every business process, every technology, everything done with information — from storing, transmitting, and processing it —-it’s all in digital form. Now, a lot of countries are recognising that their citizens’ personal data needs to be protected. Also, they’re recognising that users have to opt-in to these digital relationships, and they have to know the reason their personal data is being provided to a data process or data consumer and know what the consumer will do with their data. Tighter data protection laws are designed to secure their citizens’ privacy as well as prevent data abuse and outright criminal activity such as fraud or theft. Most recent example of this is Europe’s General Data Protection Regulation (GDPR). While some countries like India are also coming up with data protection frameworks, others will enhance their current data protection framework.
refference: https://yourstory.com/2017/12/top-technology-trends-predictions-will-dominate-2018/
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Over the past few years, chatbots — the automated, human-like chat responders — have been more of an experiment, with limited adoption. Now, chatbots are becoming more mainstream as people see the benefits of those experiments, especially in customer service and support. Unlike human customer service and support reps, chatbots don’t have the physical and mental inconsistencies that can degrade service levels. Moreover, AI-powered chatbots are learning how to respond to customers and predict what they want. Based on customer history or questions customers ask during a chat session, AI-powered chatbots can ask users what they need and even ask leading questions, all to improve the support experience.
refference: https://yourstory.com/2017/12/top-technology-trends-predictions-will-dominate-2018/
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Get ready to throw out the conventional road safety rule book. You might not have to check skywards just yet when you cross the road, but flying cars are getting ready to ruffle some feathers (and it’s not just birds we are talking about!). Numerous competitors laid the groundwork in 2017, testing their flying vehicle models, with more expected in 2018. The biggest leap forward in this space, and in the public’s popular imagination, will be the much anticipated launch of a flying taxi service in Dubai this summer. Expect more buzz worthy investments as awareness becomes more widespread.
refference: https://www.forbes.com/sites/sarwantsingh/2018/02/01/top-10-trends-for-2018/#ccf00237cb33
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Intelligent things refer to physical things that go beyond the execution of rigid programming models to exploit applied AI and machine learning to deliver advanced behaviors and interact more naturally with their surroundings and with people. As intelligent things, such as drones, autonomous vehicles and smart appliances, permeate the environment, Gartner anticipates a shift from stand-alone intelligent things to a collaborative intelligent things model.
refference: https://www.itbusinessedge.com/slideshows/top-10-strategic-technology-trends-for-2017-11.html
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Intelligent apps such as VPAs perform some of the functions of a human assistant, making everyday tasks easier (by prioritizing emails, for example), and its users more effective (by highlighting the most important content and interactions). Other intelligent apps such as virtual customer assistants (VCAs) are more specialized for tasks in areas such as sales and customer service. As such, these intelligent apps have the potential to transform the nature of work and structure of the workplace.
"Over the next 10 years, virtually every app, application and service will incorporate some level of AI," said Mr. Cearley. "This will form a long-term trend that will continually evolve and expand the application of AI and machine learning for apps and services."
refference: https://www.itbusinessedge.com/slideshows/top-10-strategic-technology-trends-for-2017-11.html
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Artificial intelligence (AI) and advanced machine learning (ML) are composed of many technologies and techniques ( deep learning, neural networks, natural-language processing [NLP]). The more advanced techniques move beyond traditional rule-based algorithms to create systems that understand, learn, predict, adapt and potentially operate autonomously. This is what makes smart machines appear "intelligent."
"Applied AI and advanced machine learning give rise to a spectrum of intelligent implementations, including physical devices (robots, autonomous vehicles, consumer electronics) as well as apps and services (virtual personal assistants [VPAs], smart advisors)," said Mr. Cearley. "These implementations will be delivered as a new class of obviously intelligent apps and things as well as provide embedded intelligence for a wide range of mesh devices and existing software and service solutions."
refference: https://www.itbusinessedge.com/slideshows/top-10-strategic-technology-trends-for-2017-11.html