DataKitchen

NOVEMBER 29, 2021

The global AI market is projected to grow at a compound annual growth rate (CAGR) of 33% through 2027 , drawing upon strength in cloud-computing applications and the rise in connected smart devices. Many in the data industry recognize the serious impact of AI bias and seek to take active steps to mitigate it.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices.

Data Warehouse 95

Data Warehouse Analytics Cost-Benefit Modeling 95

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

Cloudera

NOVEMBER 25, 2021

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud . Key advantages to leveraging a hybrid approach include include: .

Machine Learning 88

Machine Learning IoT Risk Digital Transformation 88

Cloudera

SEPTEMBER 15, 2022

July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms.

Data Lake 80

Data Lake Data Architecture Data-driven Data Warehouse 80

BI-Survey

FEBRUARY 6, 2020

Today’s data-literate users want governed and scalable self-service BI functions to answer critical business questions and to get the most out of their data assets. ML helps users prepare data to enhance reports and to select appropriate data visualizations in visual analysis and dashboards.

Reporting 59

Reporting Optimization Enterprise Data Quality 59