In machine learning, computers use their data inputs to learn to identify relevant insights and perform tasks on their own, rather than acting on explicitly programmed instructions.
As data gets bigger and more complex and enterprises increasingly rely on that data to make fundamental strategic and tactical decisions and accomplish operational goals, machine learning is playing an increasingly[…]
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Challenges are an inevitable part of life, but it is our responsibility to react and respond to them strongly. Those who are determined to overcome their challenges have the ability to turn them into valuable learning opportunities and even long-term benefits.
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The next generation of enterprise resource planning (ERP) is “intelligent” ERP, and one of the areas in which these powerful new tools will provide very visible value to agile businesses is in the design and management of delivery processes.
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In recent years, big data analytics powered by artificial intelligence and machine learning have moved from a luxury affordable only for giant corporations to a business-critical capability that virtually any business can afford.
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With the growth of microservices – essentially, designing applications as a collection of individual services rather than One Big Thing – some developers are turning to a development methodology known as “twelve-factor app development” to inform their architecture strategy.
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