Cloudera

AUGUST 31, 2021

If you do not have answers to the above questions with your existing data warehouse, then you might prefer choosing a Cloudera Data Platform Data Warehouse (CDW) solution. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. All rights reserved. Copyright © 2021 Accenture.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? While it can be tedious, it’s critical to get it right.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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. Follow along with the code here.

Deep Learning 70

Deep Learning Machine Learning Data Science Modeling 70

Sisense

JANUARY 6, 2021

You get to provide them with top-tier reporting power, just by choosing the right platform and integrating it with your product. The right platform will give you total control over the widgets in your data visualizations, ideally in a user-friendly UI editor (like in Sisense’s Embedded Playground ).

Dashboards 119

Dashboards Reporting Snapshot Visualization 119

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. This is why data also needs to be compliant.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Sisense

FEBRUARY 1, 2021

The functionality referred to as a product data management framework is more accurately a subset of a product life cycle management framework. In particular, buying a standalone PDM framework may leave the enterprise without the broader functionality of a PLM. We’ll begin by defining PDM as an integral part of PLM.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Alation

SEPTEMBER 14, 2021

This will enable you to choose exactly the right mix of data catalog plus apps that best meet your business needs. Governance Workflow: Create and configure governance workflows right from within the app — all without coding or invoking other applications. Contributed by Matt Sullivant and Kartik Hansen.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

CDW Research Hub

NOVEMBER 25, 2019

When traditional anti-virus solutions fail to stop most modern attacks, then the answer lies in technologies using behavior-based and machine-learning detection. Machine learning can analyze millions of data points using mathematical models to address malware and fileless attack methods. So, problem solved, right?

Testing 52

Testing Machine Learning Consulting Technology 52

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data.

Data Lake 74

Data Lake Data Warehouse Sales Data-driven 74

Alation

FEBRUARY 2, 2023

Successful Product Managers Use the Right Tools & Technologies The right tools and tech stack can make or break a project. Successful data product managers understand this and look to use the right ones for their data-driven projects. They know how to choose the best tools for the job and use them effectively.

Management 52

Management Data-driven Visualization Strategy 52

IBM Big Data Hub

MAY 23, 2023

Every day, people encounter multiple obstacles while traveling to their intended destinations. Sitting in traffic, waiting for the bus to arrive 15 minutes later than scheduled, driving around for 30 minutes to find a parking spot—the modern world is full of inconveniences due to underlying inefficiencies in our transportation systems.

Internet of Things 74

Internet of Things IoT Broadcasting Cost-Benefit 74

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

DataKitchen

JULY 27, 2023

Or the right tool for the right job? You can use it for big data analytics and machine learning workloads. We just learned of this too. It can use open-source frameworks like Hadoop, Apache Spark, etc. The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. Is it overkill? It does the job.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.

Management 244

Management Metrics Machine Learning Modeling 244

AWS Big Data

NOVEMBER 8, 2023

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. No customer data is required.

Testing 83

Testing Modeling Management Machine Learning 83

IBM Big Data Hub

SEPTEMBER 19, 2023

Generative AI can go beyond basic Q&A, and can also train to identify negative sentiment and triage the ticket to the right agent, reducing further escalation and enabling agents to respond quickly and appropriately. Chatbot technology can also be applied to phone interactions, driving additional refinement to the customer care process.

Cost-Benefit 115

Cost-Benefit Optimization Interactive Enterprise 115

CIO Business Intelligence

FEBRUARY 14, 2023

We know that the Contact Center-as-a-Service (CCaaS) market is growing; an increasing number of companies are choosing this flexible model to support their CX operations, and this will continue through 2023. Vendors are also increasingly expanding the capabilities of their CCaaS solutions and evolving them at speed.

Statistics 93

Statistics Cost-Benefit Enterprise Modeling 93

IBM Big Data Hub

DECEMBER 20, 2023

AWS, Google Cloud Services, IBM Cloud, Microsoft Azure) makes computing resources—like ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms—available to users over the public internet.

Strategy 101

Strategy Cost-Benefit Digital Transformation Optimization 101

datapine

NOVEMBER 19, 2019

Get the inside scoop and learn all the new buzzwords in tech for 2020! The modern world is changing more and more quickly with each passing year. If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? Computer Vision.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

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 94

Machine Learning Data Science Management Enterprise 94

DataRobot Blog

FEBRUARY 2, 2023

Large language models, also known as foundation models, have gained significant traction in the field of machine learning. Learn how you can easily deploy a pre-trained foundation model using the DataRobot MLOps capabilities, then put the model into production. Once installed, you can choose a model that suits your needs.

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

DataRobot Blog

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. Data Analysis Must Include Business Value.

Data Analytics 52

Data Analytics Analytics Machine Learning Metrics 52

AWS Big Data

OCTOBER 4, 2023

In this blog post, we share what we heard from our customers that led us to create Amazon DataZone and discuss specific customer use cases and quotes from customers who tried Amazon DataZone during our public preview. We are excited to announce the general availability of Amazon DataZone. Govern data access across organizational boundaries.

Metadata 97

Metadata Data Lake Publishing Data Governance 97

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). This allows our customers the freedom to choose their preferred analytic tool.

Data Lake 83

Data Lake Data Architecture Metadata Data Warehouse 83

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Over the past 40 years, Db2 has been on an exciting and transformational journey. In 1969, retired IBM Fellow Edgar F. ” His paper and research went on to inspire Donald D.

Machine Learning 89

Machine Learning Cost-Benefit IoT Data Warehouse 89

Alation

MARCH 29, 2021

In this blog, we will discuss how data catalogs accelerate search & discovery. With more data than ever before, the ability to find the right data has become harder than ever. With more data than ever before, the ability to find the right data has become harder than ever. Finding that data is often half the battle.

Metadata 59

Metadata Data-driven Enterprise Machine Learning 59

Alation

OCTOBER 12, 2022

When choosing between qualitative and quantitative data, think about what you want to learn. You might choose to use quantitative analysis to determine what happened. This blog post will break down how to use quantitative and qualitative data, as well as some common methods for analyzing the data to uncover quality insights.

Statistics 52

Statistics Sales Testing Marketing 52

The Unofficial Google Data Science Blog

JULY 17, 2018

Often such decisions are the responsibility of a separate machine learning (ML) system. In this blog post we describe one of these instances — Google search deciding when to check if web pages have changed. by BILL RICHOUX Critical decisions are being made continuously within large software systems.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

DataRobot

SEPTEMBER 14, 2021

All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle. AI is a generation-defining technology with the potential to reshape every industry , every business service, every customer interaction. .

Machine Learning 52

Machine Learning Marketing Modeling Interactive 52

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. Whatever a company does, how it uses data is a key differentiator in its success or failure.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up against. This blog post does not discuss objectives. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Ontotext

FEBRUARY 26, 2024

The goal is to capture data, convert it into the right insights, and integrate those insights quickly and efficiently into your business decisions and processes. Several years ago, the idea of reusable rockets was viewed as non-feasible. NASA and other aerospace organizations would build a rocket, fly it once, and that was it.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Occam's Razor

OCTOBER 24, 2016

Do so at the fastest pace you can put in place for transformation of the left-side of the above equation, and use the same pace to evolve the right-side of the above equation. Yet, it is so fantastically true. At least for now. At least until AGI takes over. Why is this formula material? Maybe this metaphor will help make this real.

Metrics 146

Metrics Marketing Optimization Modeling 146

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

It also owns Google’s internal time series forecasting platform described in an earlier blog post. In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Alation

JANUARY 25, 2022

In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail. The Power of Social Metadata.

Metadata 52

Metadata IT Metrics Data-driven 52