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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. billion in 2017 to $190.61 Artificial Intelligence (AI).

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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

The second layer, Data Hub, can ingest data from a variety of sources including on-farm devices, drones, IoT devices and satellites. New Zealand-based startup Onfarm Data, which was founded in 2017, offers a cloud-based platform for farmers to control, monitor, and manage irrigation systems remotely.

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When Private Cloud is the Right Fit for Public Sector Missions

Cloudera

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Microsoft also releases Power BI, a data visualization and business intelligence tool. 2017: AWS releases Translate and Transcribe, both AI tools. 2018: IoT and edge computing open up new opportunities for organizations. Microsoft starts to offer Azure IoT Central and IoT Edge. Google announces Cloud IoT.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Other common use cases include customer/social analysis , predictive maintenance, clickstream analytics, fraud detection, and IoT. Despite being a nascent technology, natural language analysis has increased in priority by 23% from 2017 to 2018, according to Dresner’s survey.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. It’s up two places from 2017 and up six places from 2016. (A

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