CIO Business Intelligence

MAY 7, 2024

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. There remains an enormous amount of value to be harvested from basic data blocking and tackling. Gutman, Jordan Goldmeier.

Big Data 129

Big Data Statistics Machine Learning Data Science 129

Smart Data Collective

APRIL 8, 2020

In the modern era, big data and data science are significantly disrupting the way enterprises conduct business as well as their decision-making processes. With such large amounts of data available across industries, the need for efficient big data analytics becomes paramount.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

CIO Business Intelligence

SEPTEMBER 14, 2023

Nasdaq, which went public in 2005, employs 7,000, roughly 3,000 of which are devoted to its massive IT organization, which develops an expanding range of technology products, including the trading system, security and surveillance software, and, increasingly, SaaS. We’ve become the Salesforce or Workday for the financial industry,” he says.

Risk Management 113

Risk Management Risk Marketing Cost-Benefit 113

Smart Data Collective

FEBRUARY 4, 2021

Big data is changing the future of video marketing forever. YouTube was launched in 2005, when big data was just a blip on the horizon. However, data analytics and AI have made video technology more versatile than ever. Clever video marketers know how to use AI and big data to their full advantage.

Data-driven 83

Data-driven Marketing Big Data Data mining 83

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

BizAcuity

MAY 10, 2022

2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. To be continued.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52