O'Reilly on Data

MAY 18, 2020

While incident response is a field that’s well developed in the traditional cybersecurity world, it has no clear analogue in the world of AI. And last is the probabilistic nature of statistics and machine learning (ML). 1 And, of course, the risks of model decay are exacerbated in times of rapid change.

Risk 359

Risk Modeling Data Processing Software 359

IBM Big Data Hub

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

CIO Business Intelligence

JANUARY 11, 2024

To get back in front, IT leaders will have to transform lessons learned from 2023 into actionable, adaptable processes, as veteran technology pros have been remarkably consistent in identifying global and economic uncertainties as key challenges for IT leaders to anticipate in 2024 as well.

IT 133

IT Uncertainty Cost-Benefit Strategy 133

Smart Data Collective

JUNE 7, 2019

Task management applications are changing the way we manage teams. Here are some of the primary benefits of these task management applications : Task management tools improve team productivity. Task management tools make sure that teams operate more efficiently. Task management tools minimize worker stress.

Machine Learning 77

Machine Learning Software Management Data-driven 77

CIO Business Intelligence

NOVEMBER 23, 2022

Goals of enterprise architecture EA is guided by the organization’s business requirements — it helps lay out how information, business, and technology flow together. EA is also used in systems development, IT management and decision-making, and IT risk management to eliminate errors, system failures, and security breaches.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

Cloudera

DECEMBER 21, 2020

You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks. This demo-guided blog aims to inspire further curiosity and learning, as well as fuel a fruitful, interactive dialogue – we welcome you to reach out to us if any particular part piques your interest. .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Smart Data Collective

DECEMBER 9, 2020

Some of them have made mistakes that they had to learn from to use data more effectively. This individual must have the ability to fulfill the Product Manager’s dream, by creating an elegant model that reduces the burden on consumers. They should use machine learning and other data analytics tools to create more effective tools.

Data Analytics 122

Data Analytics Analytics Data-driven Big Data 122

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Choose Create bucket.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

FineReport

DECEMBER 19, 2019

I know novices are very concerned about the learning process of data analysis. There are so many things to learn, which one should I learn? How do I learn, and to what extent? Second, learn SQL and understand the concept of database. You may be full of doubts and yearnings for SQL, Python, R, etc.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Insight

AUGUST 8, 2019

But for those who haven’t been through it, the program’s unique model can be hard to grasp. It’s true that Insight provides training in an environment that promotes fast-paced learning, but it’s not a bootcamp. for example, coding bootcamps, which are typically targeted towards those who have never coded before and want to learn.

Data Science 66

Data Science Cost-Benefit Big Data Management 66

Sisense

JUNE 12, 2019

we gave attendees a sneak preview into AI Exploration Paths which provide an AI-guided experience for business users to dig deeper and explore their analytics. In most of the cases, these plans turned into dark lakes of ever accumulating files that went unused due to the lack of skills, tools, or resources for analytics implementation.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. This month, let’s explore learning data science. What are the foundational parts of our field?”.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

Management 246

Management Metrics Machine Learning Modeling 246

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Managing data in its full scope is not an easy task, especially when it comes to system design.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. You can customize these resources as per your organization’s rules.

Data Analytics 91

Data Analytics Analytics Data Warehouse Data Lake 91

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Andrew White

JANUARY 9, 2022

– This is a question for our data management team. But in general I believe our tam would suggest that a data mesh is like a data fabric but without the self-learning add. – Here is a very popular data fabric resources: Data Fabric Architecture is Key to Modernizing Data Management and Integration. .

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. and dig into details about where science meets rhetoric in data science. Here’s our CFP , open through February 26.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In any case, Knuth’s description of literate programming has served to guide lots of subsequent work, including Project Jupyter. This field is guaranteed to get interesting. Introduction. That’s impressive.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Amazon SageMaker is used to build, train, and deploy a range of ML models.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Even for organizations engaged in markedly different verticals, there is much to learn from them on how to approach data practices.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Jet Global

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. These tasks include up-front analysis, design, and modeling. They also need the ability to access and parse that data faster and in more creative ways.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Jet Global

FEBRUARY 6, 2024

Logi Symphony’s core now leverages the power of artificial intelligence (AI) and machine learning, propelling you into a realm of instant discovery. We’ve poured our resources and focus into crafting an unparalleled analytics experience – and it shows. This isn’t just an upgrade; it’s a paradigm shift.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. Using this diagram as our guide, this blog will deep-dive into each layer of the data fabric, starting with the data catalog. What can we learn from these hidden systems? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.

Metadata 52

Metadata IT Metrics Data-driven 52

Cloudera

AUGUST 26, 2020

Learn more about their solutions here. Talend’s data management environment running on Cloudera Data Platform enables you to create and execute Hadoop and Spark integration jobs, process and reconcile Big Data, and implement data governance processes using an intuitive drag-and-drop interface. Certified Machine Learning Partners.

Machine Learning 79

Machine Learning Big Data Data Warehouse Data-driven 79

Timo Elliott

JANUARY 3, 2020

If any lessons were learned over the last decade, one of them is undoubtedly that technology innovation has leveled the playing field for businesses of all sizes. Larger enterprises indeed have more access to resources, notably the latest technologies and teams of people, to deliver on these promises.

Key Performance Indicator 68

Key Performance Indicator Machine Learning Digital Transformation Strategy 68

FineReport

APRIL 3, 2024

Simplifying the deployment and usage of self-service BI applications for analysts, managers, and workers. Intuitive interfaces that facilitate quick learning and efficient tool use can greatly boost productivity. Unified data permission control and sharing for enhanced collaboration and fine-grained permission management.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

erwin

NOVEMBER 6, 2020

Industry analysts and other people who write about data governance and automation define it narrowly, with an emphasis on artificial intelligence (AI) and machine learning (ML). Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Alation

NOVEMBER 22, 2022

This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. Setting data management policies, like tagging data. Further, the public sector also manages high-value classified information. Securing Data.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Jet Global

OCTOBER 25, 2023

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. This historical data is fed into a mathematical model that considers key trends and patterns in the data.

Analytics 52

Analytics Predictive Analytics Machine Learning Software 52

Jet Global

FEBRUARY 1, 2024

Embedded AI and machine learning models give your customers the foresight they need to make informed decisions, optimize resources, and gain a competitive edge. Check out our new buyer’s guide to see if Logi Symphony delivers the analytics your customers need to grow their businesses.

Analytics 52

Analytics Dashboards Reporting Marketing 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. We hope this guide will transform how you build value for your products with embedded analytics. CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

SEPTEMBER 1, 2023

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

APRIL 5, 2021

Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. What Is Financial Modeling?

Modeling 98

Modeling Forecasting Metrics Finance 98