datapine

SEPTEMBER 27, 2022

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. Originally published in 2018, the book has a second edition that was released in January of 2022. 4) “SQL Performance Explained” by Markus Winand.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Machine learning. Use Kaggle.

Data mining 143

Data mining Data Science Informatics Statistics 143

bridgei2i

NOVEMBER 13, 2019

A global financial information provider – publisher of one of world’s largest business news and financial information in a variety of media. Data Engineering Machine Learning AI Accelerators Data Engineering. Machine Learning. Case study: Improved customer satisfaction for global financial information provider.

Machine Learning 78

Machine Learning Data Processing Interactive Consulting 78

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. Solution overview Each day, the UK Met Office produces up to 300 TB of weather and climate data, a portion of which is published to ASDI. These datasets are distributed across the world and hosted for public use.

Data Processing 93

Data Processing Metadata Informatics Interactive 93

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Smart Data Collective

JANUARY 14, 2021

Armed with the power of machine learning (ML) and natural language processing (NLP), these AI-powered chatbots can understand user queries with ease. However, all of this can get in the way of publishing videos regularly. . However, normal chatbots can’t understand complex user queries. That’s where AI chatbots shine.

Marketing 115

Marketing Data Processing Optimization Strategy 115

Cloudera

FEBRUARY 1, 2024

In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises. Cloudera offers a multi-faceted approach to health checks, monitoring, and troubleshooting, including: Environment health checks, host-level health checks, data backup, and proactive monitoring and alerting.

Optimization 81

Optimization Measurement Testing Publishing 81

O'Reilly on Data

MAY 18, 2020

And last is the probabilistic nature of statistics and machine learning (ML). Most AI models decay overtime: This phenomenon, known more widely as model decay , refers to the declining quality of AI system results over time, as patterns in new data drift away from patterns learned in training data.

Risk 359

Risk Modeling Data Processing Software 359

CIO Business Intelligence

JUNE 12, 2023

VAs make use of automation and a host of AI technologies like machine learning (ML), natural language processing (NLP), sentiment analysis, language translation, speech-to-text, intent recognition, and robotic process automation (RPA). What is a VA?

Interactive 93

Interactive Cost-Benefit Reporting Enterprise 93

AWS Big Data

JANUARY 9, 2024

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. To foster an open ecosystem, we created a framework to empower partners to easily build and publish AI connectors.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

Cloudera

SEPTEMBER 8, 2022

for machine learning), and other enterprise policies. Combined with the characteristics of the infrastructure itself (location, cost, performance) should be workload profiles, including access controls and collaboration, workload optimization features (e.g.

Data Governance 76

Data Governance B2B Data Architecture IoT 76

Insight

AUGUST 29, 2019

We recently held a night of Lightning Chats, hosted in our Seaport District office, to catch up with our alumni and see what they’ve been up to since participating in Insight. At the Lightning Chat event, she walked us through her approach to unifying high-dimensional clinical data by combining schema mapping and machine learning.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Smart Data Collective

FEBRUARY 20, 2022

Rather, AWS offers a variety of data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, and machine learning (ML) services to suit any need. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Artificial intelligence (AI).

Cost-Benefit 115

Cost-Benefit Data Lake Software Machine Learning 115

DataRobot Blog

JUNE 16, 2022

Airflow is a perfect tool to orchestrate stages of the DataRobot machine learning (ML) pipeline, because it provides an easy but powerful solution to integrate DataRobot capabilities into bigger pipelines, combine it with other services, as well as to clean your data, and store or publish the results. References. * Download now.

Machine Learning 59

Machine Learning Modeling Testing Publishing 59

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Digital Transformation 63

Digital Transformation Consulting Machine Learning IoT 63

CIO Business Intelligence

JANUARY 4, 2023

A team of researchers from Lancaster University, along with sustainability consultancy Small World Consulting, published a 2021 report indicating that IT contributes to as much as 1.2% Cloud migrations have been on the rise in recent years for a host of business reasons, but CIOs serious about sustainability are pulling out all the stops.

IT 121

IT Internet of Things Reporting Cost-Benefit 121

Cloudera

APRIL 30, 2021

Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. Install Python dependencies on a shared NFS mount and make it available on all node manager hosts. Build the custom container and publish it to a container registry. Login to the Cloudera Docker Repo.

Management 62

Management Data Processing Machine Learning Enterprise 62

bridgei2i

APRIL 16, 2021

So welcome to our podcast series Beyond Theory with AI Labs, and I’m your host, Divyansh. He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. He has published over eight papers on computer vision. And my guest today is indeed a very special person too.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Insight

MAY 8, 2020

The things that may be invisible to you are not invisible to other people,” Shani Offen, Head of Machine Learning Engineering at Spotify , said during a panel we hosted for hiring managers discussing ways to bolster the ranks of women engineers. Interested in seeing more resources like this?

Software 59

Software Data-driven Data Processing Machine Learning 59

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Taken together, those points warranted a much deeper review of the field.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JULY 14, 2023

The UI captures the business capabilities and associated APIs, and publishes the service information through a DevOps process. Build a serverless web application with Amplify The open-source Amplify provides a CLI, libraries, UI components and Amplify hosting to build full stack iOS, Android, Flutter, Web, and React Native apps.

Modeling 68

Modeling Visualization Reporting Measurement 68

AWS Big Data

JULY 26, 2023

At the time of publishing of this post, the AWS CDK has two versions of the AWS Glue module: @aws-cdk/aws-glue and @aws-cdk/aws-glue-alpha , containing L1 constructs and L2 constructs , respectively. Solution overview Typically, you have multiple accounts to manage and provision resources for your data pipeline.

Data Integration 70

Data Integration Snapshot Testing Visualization 70

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC. Technical Impact. Societal Impact: .

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

AWS Big Data

MARCH 2, 2023

Install wscat: $ npm install -g wscat On the console, connect to your published API endpoint by running the following command. He works with AWS enterprise customers to develop systems to extract value from large volumes of data using AWS data, analytics, and machine learning services. Install NPM. wscat -c wss://{YOUR-API-ID}.execute-api.

Data Lake 73

Data Lake Testing Interactive Unstructured Data 73

AWS Big Data

MAY 7, 2024

This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

Ontotext

NOVEMBER 22, 2020

The resulting detailed and structured description of content serves as a basis for semantic indexing, search and exploration as well as the ability to create dynamic and automated content publishing. Multiple and varying ‘views’ of the data are now possible without modifying the data at its source and or the host system.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

APRIL 25, 2023

AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. Let’s take an example.

Sales 69

Sales Visualization Software Marketing 69

Smart Data Collective

JULY 5, 2021

A lot of low-code platform vendors also offer self-hosting. It allows you to publish your app to a custom secure environment. According to Forrester , you can ensure sufficient security in a low-code application. It’s only essential to protect all the third-party endpoints connected to your app. Out-of-the-box solutions.

Data-driven 95

Data-driven Big Data Software Data Processing 95

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. Data can be organized into three different zones, as shown in the following figure.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Insight

AUGUST 16, 2019

it also highlights how to build a platform that hosts both streaming and batch applications. Framework-specific Articles You have an understanding of the big picture and you have learned about examples of cutting edge projects?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

AWS Big Data

MARCH 30, 2023

An event-driven architecture is a software design pattern in which decoupled applications can asynchronously publish and subscribe to events via an event broker. Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads.

Data-driven 70

Data-driven Metadata Testing Management 70

Cloudera

SEPTEMBER 20, 2022

Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet. Moreover, collecting large data sets from the internet raises a host of ethical issues centered around privacy, consent, acknowledgement, and remuneration.

Deep Learning 85

Deep Learning Cost-Benefit Risk Data-driven 85

Howard Dresner

FEBRUARY 11, 2014

It was keyboard based and turned up a lot of false positives.” • “This needs more machine learning algorithms than most tools use today. He hosts a weekly tweet chat (#BIWisdom) on Twitter each Friday. Vendors need to automate and decrease that effort.” • “I tested a social analytics tool; I was less than impressed.

Analytics 45

Analytics Business Intelligence Data Processing Marketing 45

Insight

SEPTEMBER 20, 2019

The model was a modified U-Net and trained on GPU hosted by Amazon Web Services (AWS) EC2 instances. Sign up to learn more about the Insight Fellows programs and start your application today.

Deep Learning 53

Deep Learning Cost-Benefit Testing Modeling 53

datapine

DECEMBER 11, 2019

Within business scenarios, artificial intelligence (as well as machine learning, in many cases) provides an advanced degree of responsiveness and interaction between businesses, customers, and technology, driving AI-based SaaS trends 2020 onto a new level. At present, only 24% of SaaS businesses publish content to educate or enlighten.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

IBM Big Data Hub

APRIL 8, 2024

  Db2 Warehouse , our cloud-native data warehouse for real-time operational analytics, business intelligence (BI), reporting and machine learning (ML), is also available as a fully managed service on AWS to support customer’s data warehousing needs.    Scalability 5.

Snapshot 76

Snapshot Data Warehouse Data Processing Management 76