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IBM retrains Watson AI for IT operations

IBM is relying on technology from its Red Hat acquisition to deploy a new AIOps tool and help it deliver new edge-of-cloud computing services to support 5G networks

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12 tips for machine learning training

To make the most of machine learning you have to train your models right. Here’s how to get reliable results from your data.

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Is your business about to be disrupted by data?

The challenge of dealing with COVID-19 comes on top of recent trends in data-driven innovation and presents challenges and opportunities for companies across all sectors.

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Bayer Crop Science leverages image analytics for precision agriculture

Images captured by drones and processed by artificial intelligence help Bayer Crop Science better serve its customers and develop crops that are more resistant to insects, disease, and storm damage.

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Career roadmap: Machine learning engineer

Machine learning is one of the most in-demand skills in today’s technology job market. Kyle Hamlin, principal machine learning engineer at Sailthru, discusses what it takes to travel on that career path.

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Legal analytics: Accenture applies NLP to analyze contracts and liabilities

To find specific information in a million-plus contracts, the global professional services company turned to natural language processing and AI, launching a legal analytics hub in the process.

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How AI is transforming retail

Retailers looking to develop new customer experiences need to make artificial intelligence part of their digital transformation plans or risk falling further behind.

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IT automation shakes up the entry-level career path

The advent of IT automation — and the desire for more meaningful work — is transforming how CIOs think about internal talent pipelines and entry-level IT work.

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Intelligent automation: The future of RPA

RPA is great for streamlining tedious tasks, but the software takes on a new dimension when combined with AI and ML, say its top sellers, who are eager to usher in a new era of ‘hyperautomation.’

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5 hurdles to AI value — and how to overcome them

AI experimentation is high, but deriving value from deployments is challenging, say experts from BCG and Gartner, who recommend IT-business collaborate as a solution.

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What makes a great chatbot? Laser focus on customers

Chatbot success hinges on the right NLP algorithms and regular upkeep, experts say. Here’s how to ensure your chatbot initiative pays off.

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Data ahead! How smart products are changing the traditional sales cycle

Smart and connected products are changing the traditional sales funnel and customer lifecycle and presenting new challenges and opportunities for CIOs.

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What is a chief automation officer? And do you need one?

Companies are creating a new C-suite position, chief automation officer, to oversee RPA, indicating how important automation has become in the age of digital transformation.

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What is natural language processing? The business benefits of NLP explained

Natural language processing is a branch of AI that enables computers to understand, process, and generate language just as people do — and its use in business is rapidly growing.

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Is AI ready to fly solo in your data center?

Server vendors, particularly Oracle, are pushing harder on automated, AI-driven server technologies. Are we ready to take our hands off the wheel?

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Is RPA really an AI process or much less?

Does robotic process automation eliminate mundane tasks or just perpetuate a marginally productive process that should be redesigned in the first place?

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What is AIOps? Injecting intelligence into IT operations

Organizations seeking to better monitor IT assets are turning to artificial intelligence to get ahead of performance issues and to automate fixes before negative impacts are felt.

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Bank of America brings AI to equity capital markets

Machine learning and artificial intelligence is helping Bank of America's bankers more accurately identify investors for IPOs.

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Why AI as a service is poised to take off

Like SaaS before it, AIaaS is a boon for businesses that want tap into the power of AI — without the time and expense of developing their own AI-based systems.

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How to future-proof your IT career in the age of AI

Worried that artificial intelligence will eliminate tech jobs -- your job specifically? Here’s what you should and shouldn’t focus on in a world of AI.

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