IBM Big Data Hub

FEBRUARY 27, 2018

Whether you’re a developer, manager of an IT department or almost any other kind of business intelligence professional, Think 2018 has something for you.

Business Analytics 59

Business Analytics Business Intelligence Analytics Management 59

Sanjeev Mohan

MARCH 18, 2018

Ladies and Gentlemen, we have a new buzz word for 2018: Operationalization ! I attended this year’s edition of Strata Data show last week in San Jose. BI vendors are moving deeper into the stack while data management companies are moving towards BI and data science.

Big Data 62

Big Data Data Science Data Governance Software 62

Cloudera

SEPTEMBER 8, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics, and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

IoT 67

IoT Internet of Things B2B Data-driven 67

Sisense

MARCH 12, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. We live in an era of startups.

Enterprise 83

Enterprise Data-driven Digital Transformation Contextual Data 83

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Peter James Thomas

AUGUST 12, 2018

Let’s cover what can go wrong (note: this section is not intended to be exhaustive, links are provided to more in-depth articles where appropriate): Accuracy of Data that is captured. A number of factors can play into the accuracy of data capture. Especially for all Business Analytics professionals out there (2009). [7].

Metrics 49

Metrics Statistics Data Quality Measurement 49