Cloudera

AUGUST 22, 2024

The Indian Talent Prowess Over nearly a decade, the Bangalore CoE has grown into a robust hub, housing over 600 employees, primarily in engineering roles, which form the backbone of product innovation and customer support together with the team in Chennai.

Innovation 70

Innovation Machine Learning Artificial Inteligence Technical Review 70

CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 269

Strategy Technical Review Data Software Review 269

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Capgemini

APRIL 20, 2022

This article first appeared on Capgemini’s Data-powered Innovation Review | Wave 3. In today’s data-driven economy, artificial intelligence (AI) and machine learning (ML) are powering digital transformation in every industry around the world. Accelerate engineering. Boost efficiency.

Data 98

Data Artificial Inteligence Systems Review Technical Review 98

Kentik

APRIL 12, 2023

Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

DECEMBER 20, 2022

McKinsey estimates that the use of data-driven technologies can drive operating and maintenance cost savings of more than 12%. For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs.

Energy 84

Energy Analytics Data Machine Learning 84

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Trigent

NOVEMBER 3, 2022

AI and machine learning are already playing a significant role in shaping new initiatives for the logistics industry. With data analytics at the helm, organizations are now bringing their predictive and prescriptive learnings to the fore while harvesting descriptive data to get a competitive edge.

Analytics 52

Analytics Data IoT Trends 52

Cloudera

JUNE 7, 2022

Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

Data 115

Data Architecture Analytics Big Data 115

Coforge

AUGUST 31, 2020

The drastic shift from traditional and orthodox system frameworks and operations can be unarguably attributed to the influx of intelligent technologies such as Artificial Intelligence, Machine Learning, Big Data, Blockchain/DLT led smart contracts, and widespread usage of cloud systems. .

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Cloudera

MARCH 6, 2018

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. This clearly defines the data context even for transient compute applications. Soon we’ll have Altus Data Science, too!

Analytics 40

Analytics Cloud Big Data AWS 40

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 98

Data Engineering Engineering Data Cloud 98

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Cloud 109

Cloud Artificial Inteligence Generative AI Analytics 109

Cloudera

MAY 18, 2021

Operational efficiency and risk reduction by automating most of the manual upgrade and configuration tasks being implemented manually in IaaS deployments. that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. . Machine Learning Prototypes. Operational efficiency.

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

FEBRUARY 22, 2021

The valuation framework consists of four dimensions: 1) business value acceleration, 2) technology cost reduction and / or avoidance, 3) infrastructure cost optimization and 4) operational efficiency. Operational efficiency. In the following sections I present the approach for quantifying each of these dimensions. .

Data 83

Data Analytics Government Technical Review 83

TIBCO - Connected Intelligence

NOVEMBER 13, 2019

TIBCO’s analytics and data management solutions help companies speed time to insight from data, and drive actions that impact the business. With artificial intelligence (AI) that automates the mundane grunt work and fosters innovation at a higher level, our analytics platform helps businesses get insights into operation.

Data 4

Data Artificial Inteligence Analytics Healthcare 4

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. different analytical frameworks) for complex use cases that span different stages across the data lifecycle? Operational Scalability. CRM platforms).

Scalability 97

Scalability Technical Review Data Analytics 97