Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Data Science 92

Data Science Statistics Data-driven Machine Learning 92

Rocket-Powered Data Science

MARCH 19, 2021

Each panelist will share an overview of their data & analytics journey, and how they are building a self-service, data-driven culture that scales. Join us on Wednesday, March 31, 2021 (11:00am PT | 2:00pm ET). Save your spot here: [link]. I hope that you find this event useful. And I hope to see you there!

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

MARCH 31, 2022

billion by the end of 2021. Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. The fill report is here: Leadership Vision for 2021: Data and Analytics.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Smart Data Collective

JANUARY 27, 2022

More researchers are using predictive analytics and AI to anticipate the outcomes of various food engineering processes, so big data will be even more important to this field in the future. Many programmers specialize in data science these days, which is playing a role in the growth of programming jobs.

Big Data 128

Big Data Advertising Internet of Things Marketing 128

O'Reilly on Data

MARCH 18, 2020

In 2019, 57% of respondents cited a lack of ML modeling and data science expertise as an impediment to ML adoption; this year, slightly more—close to 58%—did so. This is consistent with the results of our data quality survey. This is true of other in-demand skills, too. or function-as-a-service designs.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311