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The life of a sales rep? Lead generation, profiling and scoring - sales representatives spend the majority of their time on repetitive and time-consuming tasks. Time, in a way, wasted. Instead, they should be focusing on building genuine relationships with prospects and cutting deals.
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AI and the big data revolution have already made a huge impact in sectors such as retail, healthcare, education, and autonomous driving. Now, manufacturing is experiencing rapid transformation thanks to a combination of AI and advanced technologies like the Internet of Things.
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Python has enjoyed a steady rise to fame over recent years and is now jostling for the position of one of the most popular programming languages in the world. Favoured for applications ranging from web development to scripting and process automation, Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects.
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The new surge in Artificial Intelligence development has a strong impact on the InfoSec sector. However, there is much more nuance to it than you may think. Machine learning algorithms are not ready to take over on both sides of the fence. They are just a powerful tool that both security specialists and their adversaries use in their arms race.
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AI and machine learning have moved from the fringes to the very centre of the technology debate. But which industry has the huge datasets, along with the capital and staffing resources, to make the most of AI? As recently reported by both PwC and Gartner, it is the financial sector.
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Both artificial intelligence and machine learning are hot buzzwords right now. It's not surprising at all, since that’s exactly what modern technologies, such as: virtual agents, decision management, and even content creation, are starting to rely on.
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