CIO Business Intelligence

MAY 5, 2022

The boom in data science continues unabated. The work of gathering and analyzing data was once just for a few scientists back in the lab. Now every enterprise wants to use the power of data science to streamline their organizations and make customers happy. Data scientists use them to swap ideas and deliver ideas.

Data Science 126

Data Science Analytics Machine Learning Optimization 126

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Data Science 47

Data Science Machine Learning Data Strategy Cost-Benefit 47

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. for the Oracle Big Data Appliance.) Learn more about how Cloudera Data Science Workbench makes your data science team more productive.

Data Science 40

Data Science Deep Learning Big Data Software 40

Cloudera

MAY 22, 2018

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. now extends the platform experience from research to production. Experiments. let the user document, test, and share the model.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

CIO Business Intelligence

JUNE 6, 2023

You might have briefly pondered transferring your data onto a second laptop instead of taking your own, but it’s more efficient to do your work on a machine that you know has everything you need easily accessed. They used Cloudera Distributed Hadoop (CDH) on-prem in two data centers and moved to CDP on Azure. What workloads do we have?

Insurance 52

Insurance Metadata Data Processing Machine Learning 52

Cloudera

JULY 10, 2019

Customers are entrusting their most valuable asset (their data) to our data management platform. They want to pay their platform vendor for added value, not out of fear of the cost of switching. Our platform is open to a wide range of tools, application and infrastructure providers. Freedom from vendor lock-in.

Software 106

Software Strategy Modeling Data Processing 106

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Sisense

JULY 3, 2019

Augmented Insights is how we refer to the area of our AI research that is dedicated to providing business users with a guided journey and deeper insights from their data. Analyze with Insight Miner surfaces difficult to see relationships in your data. AI Assisted Data Prep. Data Science Workbench.

IT 74

IT Machine Learning Dashboards Visualization 74

Cloudera

SEPTEMBER 17, 2018

However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. It also puts pressure on tooling and technology platforms to enable self-serve BI in an easy, yet secure and controlled way.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

Cloudera

AUGUST 6, 2021

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Strategy and culture are core components of a data driven organization .

Data-driven 103

Data-driven B2B Data Strategy Strategy 103

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Introduction.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

DataRobot Blog

JULY 27, 2022

In this technical post, we’ll focus on some changes we’ve made to allow custom models to operate as an algorithm on Algorithmia, while still feeding predictions, input, and other metrics back to the DataRobot MLOps platform —a true best of both worlds. Data Science Expertise Meets Scalability.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

Cloudera

JANUARY 19, 2018

“We (Mike Olson, Amr Awadallah, Christophe Bisciglia, and Jeff Hammerbacher) started Cloudera because we believe that data makes things that are impossible today, possible tomorrow. There’s more data coming, and there are plenty of impossible things to work on. Machine Learning in the Age of Big Data. Fast Forward!

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Testing 130

Testing Metadata Risk Data Science 130

Cloudera

SEPTEMBER 13, 2018

It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. Feature engineering, or the process of transforming raw data into a chosen representation of the underlying problem to be solved, is the data science process most ripe for automation.

Machine Learning 40

Machine Learning Enterprise Data Science Risk 40

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template . On-premises: CDP Private Cloud Base.

Interactive 101

Interactive Machine Learning Data Science IT 101

Cloudera

NOVEMBER 6, 2017

While cloud services do provide useful resources — such as compute instances and object storage on demand — Cloudera offers the unified platform to organize, process, analyze, and store data at large scale… anywhere. As cloud vendors continue to compete with ever lower costs, data and analytics remain portable.

Metadata 40

Metadata Enterprise Data Science Risk 40

Cloudera

JULY 18, 2018

The practice of medicine is not only a science, it is also an art. As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care. Security and compliance must be met, first and foremost.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

AWS Big Data

FEBRUARY 7, 2023

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development.

Data Lake 72

Data Lake Testing Big Data Structured Data 72

Ontotext

DECEMBER 9, 2020

Stop wasting time building data access code manually, let the Ontotext Platform auto-generate a fast, flexible, and scalable GraphQL APIs over your RDF knowledge graph. Let the platform handle the boring grunt work so that you can get on with rocket science. If so, STOP and give Ontotext platform a try.

Modeling 130

Modeling Management Optimization Metrics 130

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Cloud Innovation.

Data Lake 75

Data Lake Cost-Benefit Digital Transformation Risk 75

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. This year the DIA recognized the preeminent organizations using the Cloudera platform. We are delighted to officially publish this year’s Data Impact Award winners.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). The Open Data Lakehouse . Introduction.

Data Warehouse 81

Data Warehouse Data Transformation Testing Data Lake 81

O'Reilly on Data

MAY 14, 2020

Feature Development and Data Management: This phase focuses on the inputs to a machine learning product; defining the features in the data that are relevant, and building the data pipelines that fuel the machine learning engine powering the product. is that there is often a problem with data volume.

Management 363

Management Experimentation B2B Machine Learning 363

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. Snowflake ).

Data Science 145

Data Science Visualization Modeling Enterprise 145

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. You can identify data drift, missing information, and other issues, and take corrective action before bigger problems occur.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

Domino Data Lab

JULY 28, 2021

The data science lifecycle (DLSC) has been defined as an iterative process that leads from problem formulation to exploration, algorithmic analysis and data cleaning to obtaining a verifiable solution that can be used for decision making. The data science process in a business environment begins with the Manage stage.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

Cloudera

NOVEMBER 24, 2020

With the complexity of data growing across the enterprise and emerging approaches to machine learning and AI use cases, data scientists and machine learning engineers have needed more versatile and efficient ways of enabling data access, faster processing, and better, more customizable resource management across their machine learning projects.

Machine Learning 95

Machine Learning Data Science Management Enterprise 95

Domino Data Lab

JULY 28, 2021

For companies investing in data science, the stakes have never been so high. According to a recent survey from New Vantage Partners (NVP), 62 percent of firms have invested over $50 million in big data and AI, with 17 percent investing more than $500 million. The Challenges of Scaling Data Science.

Data Science 59

Data Science Enterprise Cost-Benefit Data-driven 59

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. The same steps are applicable for 1.10

Machine Learning 79

Machine Learning Metadata Testing Data Science 79

Cloudera

JULY 9, 2018

Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. Until now this was all very much science fiction.

Machine Learning 42

Machine Learning Data Science Testing Business Intelligence 42

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. But this has some well-known downsides, namely THROWING AWAY VALUABLE DATA. So what do you do?

Machine Learning 90

Machine Learning Dashboards Data Processing Data Science 90

Cloudera

DECEMBER 2, 2020

The Industry Transformation category at our Data Impact Awards celebrates these organizations— the ones that have looked digital transformation in the eye and said “bring it on!” . It serves more than 158 million customers, of which 104 million are users of data, creating more than 10 billion customer activities in a day.

Digital Transformation 64

Digital Transformation Cost-Benefit Data-driven Data Science 64

Cloudera

OCTOBER 17, 2017

Next, we introduce you to Cloudera’s unified platform for data and machine learning and show you four ways to implement deep learning. Today, data scientists use deep learning to a variety of practical problems: PayPal, a leading payment systems provider, uses deep learning to detect and prevent fraud.

Deep Learning 47

Deep Learning Data Science Machine Learning Modeling 47

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

IT 85

IT Data Warehouse Dashboards Visualization 85