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6 real-world examples of AI implementation in diverse sectors

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Top 10 artificial intelligence stories of 2019

By: TechTarget ComputerWeekly.com

Type: eGuide

According to Gartner’s 2019 CIO Agenda survey, organisations that have deployed artificial intelligence (AI) grew from 4% to 14% between 2018 and 2019. Organisations are looking to take advantage of smart speakers such as Alexa and Google Home to provide another channel to market, and are rolling out chatbots as an alternative to call centre staff, to deal with common queries. These are Computer Weekly’s top 10 AI articles in 2019.

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    Maximize your data insights with AI

    By: Dell Technologies

    Type: eBook

    Unlock the full potential of your data with Dell Technologies’ innovative solutions. Dell’s 2023 Innovation Index highlights the crucial link between data-driven strategies and innovation success. With only 26% of IT decision-makers fully leveraging data insights for innovation, there’s a vast opportunity to gain a competitive edge. Embrace Dell’s cutting-edge infrastructure to collect, store, protect, and act on data effectively, driving strategic decisions and fostering innovation.

    Download the eBook to learn more.

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    Automating Data Lake Pipelines for AI

    By: Qlik

    Type: eBook

    Data engineers are facing increasing demands to deliver accurate, model-ready data to AI initiatives — fast. But traditional data integration tools require time-consuming coding by highly skilled staff. And these tools often lack the capabilities to fully prepare, cleanse, tag, and catalog the data.

    What’s the answer? Automated data pipelines driven by AI and ML. In this eBook, you’ll learn how to build AI- and ML-enabled data pipelines for delivering AI-ready data. Topics include:

    - Key considerations when you’re building data lakes for AI
    - 5 ways automation works across the data pipeline
    - A detailed checklist for success

    You’ll also learn how Qlik can help, with a series of integrated solutions for automating your entire data lake pipeline — from real-time ingestion to processing and refinement — without requiring writing code.

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