Artificial Intelligence

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Artificial intelligence isn’t taking your job

With data, artificial intelligence, machine learning, and automation may improve your job

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AI disruptions and the power of intelligent data

The combination of artificial intelligence and inductive machine learning using training data sets can bring significant impact on enterprise productivity and enhancements

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What is deep reinforcement learning: The next step in AI and deep learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job

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TensorFlow review: The best deep learning library gets better

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use

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How AI is being used in images and video?

Image and video recognition, or computer vision, has become a broad category encompassing many different use cases

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AI: the challenge of data

While AI has been getting all the press, the elephant in the room is training data

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6 reasons why chatbots are taking over customer service

The key to chatbot success is the continued learning that enables them to leverage relevant data to truly connect with specific customers and augment the role of people

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7 technology trends to watch in 2018

As we say goodbye to 2017, here’s my take on important tech trends worth keeping your eye on in the year ahead

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In 2018, can cloud, big data, and AI stand more turmoil?

We'll see several trends emerge in 2018 whose key focus will be on making new technology easy and consumable

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Your company is getting pumped about AI—but is your data ready?

Before you can implement AI, it’s important to get your data in order. Here are some steps to effectively accomplish that goal

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Generative AI: The new power tool for creative pros

Generative AI will drive the next generation of apps for autoprogramming, content development, visual arts, and other creative, design, and engineering activities

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In a world of pervasive AI, testing will be a nightmare and metrics will be key

The sheer amount of data available today demands enterprises automate and make more decisions with artificial intelligence

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How containers can bring AI and blockchain to your apps

The case for containers is clear. The question is how

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The human-first approach to AI workplace adoption

Very few companies have any idea as how to best introduce AI technology into the workplace

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What AI can really do for your business (and what it can’t)

Artificial intelligence, machine learning, and deep learning are no silver bullets. A CIO explains what every business should know before investing in AI

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Two common threads tying together 2018 tech trends

Maybe 2018 is the year where we think of AI not as artificial intelligence, but as “assistive information” technology

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Is there a future for off-the-shelf AI?

There plenty of great off-the-shelf applications for a variety of tasks, and by using them, companies can get up and running with best-of breed solutions quickly and without spending a lot. But can you really expect OTS apps to be...

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What to know before you get started with TensorFlow machine learning

Machine learning isn’t something you buy but something you do. Use TensorFlow to experiment now with machine learning so you can build it into your DNA

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When millennials meet AI: the future of work in the gig economy

The confluence of these two forces—the rising tide of AI, and the departure from lifelong single-focus careers—is creating an environment in which change is the new constant

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Use the cloud to create open, connected data lakes for AI, not data swamps

There needs to be a material change in the way people think of solving complex data problems

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