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The Future of AI in the Enterprise

Jet Global

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. With data visualization tools, critical insights are displayed in rich graphical representations that are vastly easier for the human brain to interpret.

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The Future of AI in the Enterprise

Jet Global

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. With data visualization tools, critical insights are displayed in rich graphical representations that are vastly easier for the human brain to interpret.

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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. Artificial Intelligence (AI). Connected Retail.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” 1) People and machines come together to create a more powerful and agile experience.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

Football teams rely on huge amounts of data drawn from countless sources to take their play to the next level: Internet of Things sensors and other devices connected to the internet use GPS to track players and the ball’s movement in real time. Gleaning actionable intelligence from disparate data sources.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

2018-06-21). On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. Business stakeholders cannot rely on visualizations to interpret the ML models that their data science teams produce.

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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.