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AI and machine learning are at the forefront of all cutting edge technology and because of this the worlds top technological minds have all had their say about how these technologies will shape our future. Here are our favourite quotes from the world's top minds.
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A recent Indeed report published really highlighted the talent gap within AI and machine learning with job postings are soaring butbthe number of searches is dropping. The report indicates that the drop is attributed to the lack of qualified professionals that are able to fill these roles.
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Deep Learning, has not yet earned the title of 'science fiction come to life.' However, It's had some influence on our world, particularly to those who are hearing or visually impaired. Here are 4 applications of Deep Learning which are already affecting our everyday lives.
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As the Data Science industry expands and evolves, there is also a growing need for more cross-functional data science teams with a wide range of disciplines in order for companies to realise the full impact of their data-driven initiatives.
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Data is a valuable resource but so are people and in the age of bigger and bigger data, the two must work in tandem. For executives, one of the biggest challenges they are facing right now is how to effectively transition to a more data-driven culture.
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Augmented reality has the unique ability to link our digital and physical world in variable and diverse ways. One of those functions which is now becoming more prominent is within social media and how brands are developing more immersive experiences that drive sales and improve customer engagement.
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There are approximately 2.8 billion active social media users, nearly four million blog posts and 500 million tweets every day. AI marketing has the amazing ability to empower your marketing team to shine through the overwhelming congestion that is rampant throughout the web and social media.
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Julia is an up and coming programming language due to its big data applications, cherry picking the best of C, Ruby, Python, R and Matlab.
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Trash is not only a problem we have created here on earth, but our footprint has also now reached space in the for of 'space debris'. Robots may hold the key to this problem
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Recent studies have shown that 85% of big data projects end in failure. Why is this and what can companies do to correct these staggering numbers? Alldus has you covered with some solutions to the most common problems.
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Solving real-world problems, generating insights and implementing results are all key factors in a successful machine learning project. Here are six helpful tips on how to do just that.
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Data literacy is set to become as vital a skill as IT. As levels of generated data continues to rise so must the workforces data literacy skills.
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