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4 Artificial Intelligence Trends That Will Dominate 2018 - CXOtoday.com

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Every day a new headline is made with Artificial Intelligence (AI) that is well-poised to drastically change the way people use technology to get work done. With the suitable dataset behind it, AI can help ease many monotonous and redundant tasks, changing the way humans perform their tasks. AI has achieved a higher level of advancement this year, affecting certain aspects of life. But what is happening behind the scenes, in development facilities where researchers and techno heads are constantly striving to beat the levels achieved by previous AIs? In its latest blog, Infiniti Research, a market intelligence solutions provider, has listed the top AI trends that will dominate businesses this year.


4 Artificial Intelligence Trends That Will Dominate 2018 Infiniti Research

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Deep learning: By learning from images, audio, and text, data deep neural networks can mimic the human brain. They have been in use for more than a decade, but there's a lot still to be discovered and study how a neural network learns and how can they be made effective. Deep learning is getting smarter though, instead of feeding hundreds and thousands of data points, today's systems can give an accurate output by factoring only few hundred data points.Deep reinforcement learning: The developers of artificial intelligence are applying the principle of reinforced learning to their systems. This is the reason why the well-known AlphaGo was able to beat a human champion. Lately, it beat a DOTA champion in a very composite game by educating itself to play the game within two weeks.


4 Artificial Intelligence Trends That Will Dominate 2018 Infiniti Research

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LONDON--(BUSINESS WIRE)--Infiniti Research, a world-renowned market intelligence solutions provider, has announced the completion of their latest list blog on the 4 artificial intelligence trends that will dominate 2018. Artificial intelligence (AI) is well-poised to drastically change the way people use technology to get work done. With the suitable dataset behind it, AI can help ease many monotonous and redundant tasks, changing the way humans perform their tasks. AI has achieved a higher level of advancement this year. However, Google Duplex is just one demo amongst many other tech trends, areas where artificial intelligence has been making progress.


Artificial intelligence and 'upskilling': five workplace trends that will dominate 2018

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Artificial intelligence, upskilling, and an older workforce are a few of the workplace trends we're likely to see in 2018. With unemployment at a 42-year low of 4.3pc, the jobs market remains competitive: the Office for National Statistics recently revealed that UK businesses are struggling to find workers as the pool of potential staff dries up. As a result, employers are having to evolve and develop new strategies to attract top talent. Set against this, the broader outlook is relatively uncertain, with sluggish wages, rising inflation and concerns about Britain leaving the EU dominating the debate.


5 Artificial Intelligence Trends That Will Dominate 2018

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"There have been repeated predictions for several years that tout potential breakthroughs in the use of AI and machine learning, but the reality is that most enterprises have yet to see quantifiable benefits from their investments in these areas. The hype to date has been overblown, and most enterprises are reluctant to get started due to a combination of skepticism, lack of expertise, and most important of all, a lack of confidence in the reliability of their data sets," says Chen, "In fact, while the headlines will be mostly about AI, most enterprises will need to first focus on IA (information augmentation): getting their data organized in a manner that ensures it can be reconciled, refined, and related, to uncover relevant insights that support efficient business execution across all departments, while addressing the burden of regulatory compliance." - Ramon Chen, Chief Product Officer at Reltio, Inc.


7 Retail Trends That Will Dominate 2018

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How AI helped Walmart go from 700,000 to 60 million items online. Target shoppers can now use the AI-driven Pinterest Lens visual search tool to find products with ease, using Target's e-commerce site and mobile app.2O'Shea, Online homeware store Wayfair has also adopted AI and machine learning for image-based search.3Terrelong, What the future of retail will look like, according to Google. The power of voice: Voice-assisted ordering for browsing and buying will be big this year, led by tech titans Amazon, Google and Apple. Amazon Echo accounts for approximately 75% of the smart speaker market, and more than 25% of searches now take place using voice-enabled devices, making connected homes a priority for retail tech leaders Amazon, Google, and Apple.6Duggan,


5 artificial intelligence trends that will dominate 2018

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"Basic analytics are out; machine learning (and beyond) are in," says Kenneth Sanford, U.S. lead analytics architect for collaborative data science platform Dataiku, as he looks back on 2017. Sanford says practical applications of machine learning, deep learning, and AI are "everywhere and out in the open these days," pointing to the "super billboards" in London's Piccadilly Circus that leverage hidden cameras gathering data on foot and road traffic (including the make and model of passing cars) to deliver targeted advertisements. So where will these frameworks and tools take us in 2018? We spoke with a number of IT leaders and industry experts about what to expect in the coming year. AI is already here, whether we recognize it or not.


5 artificial intelligence trends that will dominate 2018

#artificialintelligence

"Basic analytics are out; machine learning (and beyond) are in," says Kenneth Sanford, U.S. lead analytics architect for collaborative data science platform Dataiku, as he looks back on 2017. Sanford says practical applications of machine learning, deep learning, and AI are "everywhere and out in the open these days," pointing to the "super billboards" in London's Piccadilly Circus that leverage hidden cameras gathering data on foot and road traffic (including the make and model of passing cars) to deliver targeted advertisements. So where will these frameworks and tools take us in 2018? We spoke with a number of IT leaders and industry experts about what to expect in the coming year. AI is already here, whether we recognize it or not.


6 internet of things trends that will dominate 2018

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The internet of things (IoT) and industrial internet of things (IIoT) will breakout in 2018, with organizations ramping up deployments and incorporating IoT technologies into their products, processes and workflows. Research firm Gartner predicts there will be nearly 20 billion devices connected to the IoT by 2020, and IoT product and service suppliers will generate more than $300 billion in revenue. We spoke with a number of IT leaders and industry experts about what to expect from IoT deployments in the coming year. Following are six IoT trends to watch in 2018. Scott Gnau, CTO of Hortonworks, predicts 2018 will be the year of consumer IoT.


AI, Big Data, Digitisation, Blockchain: The fintech that will dominate 2018

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Global technology consultancy DataArt expects to see a handful of financial technology (fintech) trends that emerged in 2017 to strengthen significantly in 2018. In particular, the growth of Artificial Intelligence (AI) in the industry will be exponential for three main reasons; hugely increased opportunities for improved customer centricity; ability to ease the regularity reporting burden through AI enabled'RegTech'; and massively improved cyber-security and data protection. DataArt also expects to see the same growth in blockchain as firms wake up to the huge cost savings and security benefits from distributed ledger technology, and performance problems associated with original Blockchain technology start to be solved. Here are DataArt's technology predictions in full: Artificial Intelligence (AI) will be the industry game changer, but it will not come without problems as the current industry wide skills gap turns into a'war for talent'. We are seeing that war already in one of the biggest users of AI: cyber-security.