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 104

Machine Learning Deep Learning IT 104

erwin

OCTOBER 16, 2020

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

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

Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Amazon Comprehend launches real-time classification Amazon Comprehend is a service which uses Natural Language Processing (NLP) to examine documents. Document classification no longer needs to be performed in batch processes. We will have to wait and see. Announcements.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

Ontotext

AUGUST 31, 2023

Have you ever been in a conversation where someone mentioned a “knowledge graph,” only to realize that their description was completely different from what you had in mind? What is a knowledge graph? An ontology enriches data within a knowledge graph with context and meaning that humans and computers can interpret.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

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 75

Data Lake Interactive Management Modeling 75

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 93

Machine Learning Sales Data Science Modeling 93

IBM Big Data Hub

DECEMBER 5, 2022

DSCE works seamlessly for both data scientist and machine learning operations (ML-Ops) engineers’ personas. For example, data scientist, Miles wants to customize an emotion classification model to discover what makes customers happiest. Medium Blog: What are Watson Libraries? Embark on a task-based journey.

Modeling 57

Modeling Digital Transformation Interactive Software 57

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 114

Metadata Data Quality Data Governance Data Integration 114

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 112

Machine Learning Modeling Data Science Big Data 112

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 113

Data Science Enterprise Experimentation Machine Learning 113

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? But let’s see in more detail what experts say and how can we connect and differentiate the both. What Do The Experts Say? Table of Contents.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Ontotext

FEBRUARY 1, 2024

For example, the method for managing multilingual taxonomies became massively simpler (once concept could now hold multiple language labels), resulting in huge cost savings compared with the previous data model. The widespread adoption of RDF as a semantic data model transformed simple taxonomies into extensible and expressive ontologies.

Enterprise 59

Enterprise Management Metadata Modeling 59

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 86

Enterprise Publishing Data Lake Management 86

Laminar Security

JULY 11, 2023

Launches Full Data Security Platform with Enhanced DAG and DDR Capabilities Laminar has unveiled groundbreaking advancements to its agile data security platform for multi-cloud. Because you can’t protect what you don’t know about. Because you can’t protect what you don’t know about.

Risk 87

Risk Strategy Measurement Visualization 87

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 Modeling Consulting 143

Laminar Security

NOVEMBER 9, 2023

Data breaches increased by 156% between Q1 and Q2 alone. The numbers speak for themselves: today’s approach to data security isn’t working. Today’s data security strategies need new solutions, but unfortunately, many existing tools can only manage one piece of that much bigger and more complex puzzle. as the U.S.

Strategy 88

Strategy Risk Testing Recreation/Entertainment 88

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

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 71

Deep Learning Machine Learning Data Science Modeling 71

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 104

Data-driven B2B Data Strategy Strategy 104

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 121

Cost-Benefit Modeling Data Quality Statistics 121

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 77

Manufacturing Contextual Data IoT Digital Transformation 77

Ontotext

MAY 5, 2023

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) and product (What?). These two key data elements are used in approximately 80% of the use cases in the sector. This is illustrated in the following two instances.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Laminar Security

MAY 25, 2023

However, without rethinking your security and controls, these benefits can come with an increased risk of cyber attacks, data breaches, and other security threats. It involves a set of practices, tools, and technologies that help protect cloud native applications and data from threats and vulnerabilities.

Cost-Benefit 96

Cost-Benefit Risk Technology Software 96

Cloudera

OCTOBER 13, 2021

Quite often, the digital natives of the family — you — have to explain to the analog fans of the family what PDFs are, how to use a hashtag, a phone camera, or a remote. Imagine if you had to explain what machine learning is and how to use it. What’s data analytics and why is everyone talking about it?”.

Machine Learning 74

Machine Learning Internet of Things IoT Modeling 74

Cloudera

DECEMBER 19, 2023

AI-based procurement that uses natural language processing to process RFIs, RFPs, and RFQs, as well as text classification to streamline and automate processes such as supplier evaluation, contract analysis, and spend management, can streamline the procurement process and improve transparency and efficiency. Make sure to audit data regularly.

Optimization 86

Optimization Cost-Benefit Unstructured Data Risk 86

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. RED answers key questions such as: “What happened?”, “Who was involved?”, and “What is the financial impact?”. , and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

FEBRUARY 16, 2022

classification problem. What if the spacing between blueberries in a muffin is reduced? What if a muffin is well-baked? What if it is an irregular shape? Each project consists of a declarative series of steps or operations that define the data science workflow. Figure 01: Is this a chihuahua or a muffin?

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

CIO Business Intelligence

APRIL 19, 2022

It has just become very topical due to a changing geopolitical landscape and new regulations that affect control of data. In practice, this is all about data: where does it reside, where is it flowing, and who has control over it? These questions are critical for a modern data economy, where data means power.

Metadata 59

Metadata Risk Data-driven Strategy 59

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

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

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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 116

IT Unstructured Data Data-driven Data Governance 116

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 Risk Metadata 106

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Identify Resources.

Management 52

Management Data Quality Metadata Testing 52