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

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 99

Machine Learning Data Science Enterprise Management 99

Insight

MAY 20, 2020

Distributed computing frameworks often require the creation of a set of machines that work with one another to perform some sort of large-scale data processing. In other cases, programmers might use tools, such as Terraform, to programmatically create and configure a set of machines that can communicate with one another.

Dashboards 98

Dashboards Data Processing IT Publishing 98

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Chris Bergh, CEO & Head Chef, DataKitchen.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

AWS Big Data

JULY 29, 2024

This enables more informed decision-making and innovative insights through various analytics and machine learning applications. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. It’s crucial for maintaining inter-operability between different engines.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

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 147

Metrics Marketing Optimization Modeling 147

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 111

Testing Modeling Management Machine Learning 111

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

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

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 98

Statistics Cost-Benefit Enterprise Machine Learning 98

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 108

Cost-Benefit Optimization Interactive Enterprise 108

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 115

Forecasting Data Science Statistics Uncertainty 115

Cloudera

FEBRUARY 25, 2021

While there are many factors that can contribute to this inefficiency, one of the most prevalent hurdles to overcome has to do with simply getting projects off the ground and selecting the right approaches, algorithms, and applications that will lead to fast results and trustworthy decision making. .

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

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 88

Data Lake Data Warehouse Data Architecture Metadata 88

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 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

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 93

Strategy Cost-Benefit Digital Transformation Optimization 93

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 75

Deep Learning Machine Learning Data Science Modeling 75

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Artificial intelligence (AI) is a transformative force. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

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 Warehouse 98

Data Warehouse Data Lake Sales Data-driven 98

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 85

Machine Learning Cost-Benefit IoT Data Warehouse 85

IBM Big Data Hub

OCTOBER 16, 2023

An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Foundation models can apply what they learn from one situation to another through self-supervised and transfer learning. Artificial intelligence (AI) adoption is still in its early stages.

Risk 70

Risk Modeling Management Metadata 70

AWS Big Data

JUNE 10, 2024

This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used. This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

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 87

Data Science Snapshot Data Processing Optimization 87

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 119

Metadata Data Lake Publishing Data Governance 119

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 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

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

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Apache Spark and Google Cloud Dataflow represent two alternatives as “next generation” data processing frameworks. Thus the ability to manipulate big data is essential to our notion of data science.

Data Science 68

Data Science Sales Optimization Cost-Benefit 68

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

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

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

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

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 54

Machine Learning Data Science Statistics Deep Learning 54

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

Alation

NOVEMBER 22, 2022

An active data governance framework includes: Assigning data stewards. A core challenge here involves delivering the right data to the right person within the right context to truly enable a successful self-service environment. What Is Data Governance In The Public Sector? Standardizing data formats. Privacy concerns.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Cloudera

JANUARY 11, 2021

In addition to the significant upfront costs of bringing a drug to market, competition between pharmaceutical companies to choose and launch the most impactful drugs is fierce. Requests to Central IT for data warehousing services can take weeks or months to deliver. At the same time, Central IT must juggle cost and risk. billion dollars.’.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Machine Learning 63

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 Data Collection 52

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