2017 Big Data Internet of Things Visualization 
datapine
NOVEMBER 19, 2019
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).
Domino Data Lab
MAY 8, 2019
Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization.
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O'Reilly on Data
SEPTEMBER 11, 2019
Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.
Sisense
FEBRUARY 6, 2020
The problem is, there’s just a frankly humongous volume of data out there. Data’s great, but how do you deal with so much of it? The whole world’s being digitized and the Internet of Things means that infrastructure and machines are communicating with each other on a massive scale. billion by 2023.
datapine
NOVEMBER 27, 2019
Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.
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