2017 Analytics Big Data Internet of Things 
Smart Data Collective
FEBRUARY 1, 2023
Big data technology is driving major changes in the healthcare profession. In particular, big data is changing the state of nursing. Nursing professionals will need to appreciate the importance of big data and know how to use it effectively. Big data is especially important for the nursing sector.
Smart Data Collective
JULY 19, 2019
The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company.
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datapine
NOVEMBER 27, 2019
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. Suddenly advanced analytics wasn’t just for the analysts. 1) Data Quality Management (DQM).
datapine
NOVEMBER 19, 2019
Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. billion in 2017 to $190.61 billion by 2025.
Cloudera
APRIL 7, 2021
A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” Finally, the connected car, connected home, and connected self are generating an enormous amount of data. Data — Too much and Too little.
Sisense
FEBRUARY 6, 2020
It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions. We’re more than just believers in the power of data. 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?
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. The term “ML” is No.
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