Remove Data Governance Remove Data Processing Remove Optimization
article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Monte Carlo DataData reliability delivered. Data breaks. Process Analytics. Meta-Orchestration .

Testing 304
article thumbnail

HEMA accelerates their data governance journey with Amazon DataZone

AWS Big Data

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Dell shares its vision of the AI factory powered by NVIDIA

CIO Business Intelligence

This is done through its broad portfolio of AI-optimized infrastructure, products, and services. Credit: Dell Technologies Fuel the AI factory with data : The success of any AI initiative begins with the quality of data. Behind the Dell AI Factory How does the Dell AI Factory support businesses’ growing AI ambitions?

IT 111
article thumbnail

How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Eliminate centralized bottlenecks and complex data pipelines. Lakshmi Nair is a Senior Specialist Solutions Architect for Data Analytics at AWS.

IoT 111
article thumbnail

7 types of tech debt that could cripple your business

CIO Business Intelligence

For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.

Risk 140
article thumbnail

Delivering better business outcomes for CIOs

CIO Business Intelligence

However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. Similarly, 12% of organizations use a mix of multiple cloud providers and private cloud, with 38% planning to adopt hybrid cloud next year.

Finance 89
article thumbnail

The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. Security is a distinct advantage of the PaaS model as the vast majority of such developments perform a host of automatic updates on a regular basis. 2) Vertical SaaS. 6) Micro-SaaS.

Software 314