Cloudera

JANUARY 7, 2021

Text classification is a ubiquitous capability with a wealth of use cases. While dozens of techniques now exist for the fundamental task of text classification, many of them require massive amounts of labeled data in order to prove useful. Another fact of real-world use cases is the uneven distribution of data.

Machine Learning 107

Machine Learning Deep Learning IT 107

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. One big use case is with sensor data.

Machine Learning 115

Machine Learning Modeling Data Science Big Data 115

Domino Data Lab

MAY 20, 2021

When we say that a classification dataset is imbalanced, we usually mean that the different classes included in the dataset are not evenly represented. For example, high-energy physics classification problems can feature a 100,000:1 background to signal ratio (Clearwater and Stern, 1991).

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

DataRobot

AUGUST 30, 2021

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. The purpose of this blog post is to discuss one dimension of trust in the category of Operations: Humility.

Uncertainty 90

Uncertainty Measurement Modeling Software 90

Laminar Security

OCTOBER 17, 2023

Mapping, classifying, and reporting on data in the cloud is challenging for many companies, and the more cloud-centric the company, the greater the challenge. They are dealing with massive amounts of data and are subject to new and changing regulations. And unfortunately, you can’t protect or manage data you don’t know exists.

IT 94

IT Risk Cost-Benefit Dashboards 94

Cloudera

JULY 27, 2021

We believe the best way to learn what a technology is capable of is to build things with it. Understanding the technologies underlying these examples – both what they can do, and how they work – relied heavily on exploration and visualization. This is fortunate, because few data scientists are web developers on the side.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 118

Data Lake Data Warehouse Management Risk 118

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS on the Cloudera Data Platform comes pre-configured with all the necessary libraries and dependencies to bring the power of RAPIDS to your projects. What is RAPIDS.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

Ontotext

DECEMBER 30, 2019

In 2019 we have published many engaging blog posts on various topics and now, at the end of this exciting year, we have analyzed your interest in them and would like to present the top 5 most fascinating blog posts for 2019. Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Knowledge Discovery 52

Knowledge Discovery Publishing Technology Enterprise 52

DataRobot Blog

APRIL 22, 2022

If not, take a look at the recording where we also cover a few of the points we’ll describe in this blog post. D, as in size of “Data” More data normally increases accuracy, but the marginal contribution decreases quite quickly, (i.e., For classification or zero-inflated regression: Downsample the majority cases.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Can it also help write SQL queries? The answer is yes. Table metadata is fetched from AWS Glue.

Metadata 99

Metadata Data Lake Modeling Data Warehouse 99

Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data. Multi-tenant data access.

IT 119

IT Unstructured Data Data-driven Data Governance 119

Cloudera

FEBRUARY 11, 2022

However, to understand what Ethical AI is, we need to have at least a basic understanding of ML, ML models and the data science lifecycle and how they are related. This blog post hopes to provide this foundational understanding. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 97

Machine Learning Sales Data Science Deep Learning 97

Cloudera

NOVEMBER 17, 2021

It’s no secret that Data Scientists have a difficult job. It feels like a lifetime ago that everyone was talking about data science as the sexiest job of the 21st century. There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012.

Machine Learning 124

Machine Learning Visualization Data Science Dashboards 124

Cloudera

SEPTEMBER 15, 2020

Cloudera Data Platform 7.2.1 introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera Data Platform 7.2.1 Cloudera Data Platform 7.2.1 Now let’s try to access data in another user’s home directory. Use case #1: authorize users to access their home directory.

Data Lake 79

Data Lake Interactive Management Modeling 79

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 105

Data-driven B2B Data Strategy Strategy 105

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Data governance: three steps to success. Know what data you have.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

IBM Big Data Hub

MARCH 25, 2022

To simplify data access and empower users to leverage trusted information, organizations need a better approach that provides better insights and business outcomes faster, without sacrificing data access controls. There are many different approaches, but you’ll want an architecture that can be used regardless of your data estate.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

AWS Big Data

FEBRUARY 27, 2023

Data sharing is becoming an important element of an enterprise data strategy. AWS services like AWS Data Exchange provide an avenue for companies to share or monetize their value-added data with other companies. They also need to ensure that data is of high quality.

Enterprise 109

Enterprise Publishing Data Lake Management 109

erwin

OCTOBER 31, 2019

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. What Are Modeling Tools? In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

CIO Business Intelligence

SEPTEMBER 29, 2023

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

Deep Learning 143

Deep Learning Machine Learning Consulting Modeling 143

Domino Data Lab

OCTOBER 7, 2020

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Statistical methods for analyzing this two-dimensional data exist.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

Domino Data Lab

AUGUST 12, 2021

We all have heard how data is the new oil. For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. The purpose of Data Exploration. Data exploration is a very important step before jumping onto the machine learning wagon.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

erwin

MARCH 19, 2020

What Makes Up An Enterprise Architecture Framework? An enterprise architecture framework is a standardized methodology that organizations use to create, describe and change their enterprise architectures. Enterprise architecture (EA) itself describes the blueprint and structure of an organization’s systems and assets.

Enterprise 145

Enterprise Visualization Digital Transformation Management 145

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistical techniques to handle nontrivial data. Statistics and programming go hand in hand. Linear regression.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Dataiku

MARCH 25, 2024

M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on. M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on.

Visualization 132

Visualization Modeling Experimentation Testing 132

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. You might be thinking what is model risk, and how can it be mitigated? What is a model? When business decisions are made based on bad models, the consequences can be severe.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

OCTOBER 24, 2023

First, there’s the internal demand to understand how your organization is going to adopt these new tools and what you need to do to avoid falling behind your competitors. Before you can dive into the details of what to do with the answers or art your GenAI is creating, you need a robust foundation to ensure it’s operating well.

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? Assure an Unshakable Data Supply Chain to Drive Better Business Outcomes in Turbulent Times. Strong data management practices can have: Financial impact (revenue, cash flow, cost structures, etc.).

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction. In my case, I have selected 4 cores / 8GB RAM and 1 GPU.

Deep Learning 75

Deep Learning Machine Learning Data Science Modeling 75

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. The Role of the CISO in Data Governance and Security.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases.

Analytics 95

Analytics Unstructured Data IoT Visualization 95

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86

Laminar Security

DECEMBER 22, 2023

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124