Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 82

Data Processing IoT Cost-Benefit Digital Transformation 82

CDW Research Hub

FEBRUARY 25, 2019

Can your outdated infrastructure compete in the age of digital transformation, where unprecedented data growth is driving the business economy? Decade-old servers can’t keep pace with the mechanisms propelling today’s business outcomes, like big data, virtualization, cloud, the Internet of Things (IoT) and AI.

Internet of Things 40

Internet of Things IoT Digital Transformation Big Data 40

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world.

Technology 279

Technology Internet of Things IT IoT 279

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

SEPTEMBER 30, 2021

It indicates that businesses should do everything they can to protect their critical data. This article will help you to understand how remote working has caused cybercrime, its consequences, and proactive measures focusing on AI-driven cybersecurity apps to handle this critical issue. Cybercrime and IoT devices.

Optimization 112

Optimization IoT Cost-Benefit Data-driven 112

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. 2019 was a particularly major year for the business intelligence industry.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361