O'Reilly on Data

JUNE 18, 2024

In conversation with reporter Cade Metz, who broke the story, on the New York Times podcast The Daily , host Michael Barbaro called copyright violation “ AI’s Original Sin.” They were centralized and aimed to host everyone’s content as part of their service. This is helpful, but insufficient.

Advertising 353

Advertising Modeling Publishing Data Processing 353

Cloudera

NOVEMBER 13, 2024

Hosting Costs : Even if an organization wants to host one of these large generic models in their own data centers, they are often limited to the compute resources available for hosting these models. Build and test training and inference prompts. The Need for Fine Tuning Fine tuning solves these issues. Data Preparation.

Cost-Benefit 86

Cost-Benefit Data Processing Testing Machine Learning 86

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. After you review the cluster configuration, select the jump host as the target for the run command. zst`; do zstd -d $F; done rm *.zst

Data Processing 132

Data Processing Dashboards Machine Learning Metrics 132

DataRobot

JANUARY 15, 2020

Kaggle is a popular online forum that hosts machine learning competitions with real-world data, often provided by commercial or non-profit enterprises to crowd-source AI solutions to their problems. For every competition, the host provides a training and test set of data.

Data Processing 16

Data Processing Testing Metrics Machine Learning 16

CIO Business Intelligence

AUGUST 2, 2022

Fueled by enterprise demand for data analytics , machine learning , data center consolidation and cloud-native app developmen t, spending on cloud infrastructure services jumped 33% year on year to $62.3 billion in the second quarter, according to Canalys. billion out of $62.3 Cloud providers build out infrastructure.

Sales 116

Sales Data Processing Machine Learning Marketing 116

Smart Data Collective

MARCH 7, 2021

There are a lot of ways companies are using new advances in machine learning and other data technologies to mitigate the risks of cyberattacks. After educating the employees about cybersecurity & cyberattacks, your job is to test how they fare. VPN & Secured Hosting. Meticulous Audit.

Big Data 133

Big Data Insurance Data Processing Software 133

CIO Business Intelligence

APRIL 11, 2024

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner.

Enterprise 124

Enterprise IT Data Processing Strategy 124

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? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

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. To optimize these, you need to conduct numerous A/B tests. However, normal chatbots can’t understand complex user queries. They only answer based on the flows that you set up.

Marketing 123

Marketing Data Processing Optimization Strategy 123

AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. Choose Test Connection. Choose Next if the test succeeded.

Data Warehouse 108

Data Warehouse Analytics Testing Modeling 108

Domino Data Lab

MAY 8, 2019

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. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

APRIL 21, 2021

We did add some additional capacity to make parts of the testing and validation process easier, but many clusters can upgrade with no additional hardware. We went through multiple test upgrades on non-production environments to be as ready as possible for issues that might arise during the upgrade itself. . Lessons Learned.

Testing 122

Testing Data Processing Interactive Data Warehouse 122

CIO Business Intelligence

JUNE 16, 2022

The ability to tap into sophisticated machine learning, AI, and text-processing capabilities available through cloud platforms like AWS and through cloud-first enterprise applications can bolster an organization’s ability to capture data-driven insights. In short, it is a pathway to innovation.”. More data-driven insights.

Strategy 138

Strategy Enterprise Digital Transformation Data Processing 138

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. Users can deploy trained models, including GenAI models or predictive deep learning models, directly to the Cloudera AI Inference service. Why did we build it?

Metrics 78

Metrics Data Processing Machine Learning Deep Learning 78

Smart Data Collective

MARCH 30, 2022

As you think of new names, check their availability on web hosting sites. Some of the most popular web hosting sites with databases on registered domain names include: Google Domains GoDaddy Bluehost GreenGeeks HostGator. Once you have your company website set up, you can test it a few times before the official launch.

Analytics 126

Analytics Cost-Benefit Testing Dashboards 126

AWS Big Data

FEBRUARY 7, 2024

Create an Amazon Route 53 public hosted zone such as mydomain.com to be used for routing internet traffic to your domain. For instructions, refer to Creating a public hosted zone. Request an AWS Certificate Manager (ACM) public certificate for the hosted zone. hosted_zone_id – The Route 53 public hosted zone ID.

Dashboards 109

Dashboards Data Processing Metadata Consulting 109

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data.

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

CIO Business Intelligence

DECEMBER 16, 2022

There were also a host of other non-certified technical skills attracting pay premiums of 17% or more, way above those offered for certifications, and many of them centered on management, methodologies and processes or broad technology categories rather than on particular tools.

Testing 98

Testing Metadata Data Processing Machine Learning 98

Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. Cloudera Machine Learning Public or Private Cloud.

Cost-Benefit 88

Cost-Benefit Machine Learning Enterprise Data Processing 88

DataRobot

JULY 27, 2021

Algorithmia automates machine learning deployment, provides maximum tooling flexibility, optimizes collaboration between operations and development, and leverages existing software development lifecycle (SDLC) and continuous integration/continuous development (CI/CD) practices. We couldn’t agree more.

Optimization 98

Optimization Modeling Machine Learning Deep Learning 98

IBM Big Data Hub

NOVEMBER 13, 2023

Kubernetes can also run on bare metal servers and virtual machines (VMs) in private cloud, hybrid cloud and edge settings, provided the host OS is a version of Linux or Windows. Overall, Kubernetes provides the flexibility, portability and scalability needed to train, test, schedule and deploy ML and generative AI models.

Machine Learning 107

Machine Learning Data-driven Software Testing 107

AWS Big Data

DECEMBER 16, 2024

For each service, you need to learn the supported authorization and authentication methods, data access APIs, and framework to onboard and test data sources. This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives.

Visualization 88

Visualization Data Processing Testing Publishing 88

CIO Business Intelligence

OCTOBER 17, 2024

So, we aggregated all this data, applied some machine learning algorithms on top of it and then fed it into large language models (LLMs) and now use generative AI (genAI), which gives us an output of these care plans. You can host data anywhere — on-prem or in the cloud — but if your data quality is not good, it serves no purpose.

Management 111

Management Insurance ROI Cost-Benefit 111

Cloudera

MAY 3, 2024

With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications. This allows for seamless transitions, whether you’re running examples locally or deploying processes automatically in Cloudera Machine Learning. Best of all, every AMP is fully open source.

Data Processing 76

Data Processing Machine Learning Enterprise Risk 76

Cloudera

SEPTEMBER 21, 2021

Using provider operators that are tested by a community of users reduces the overhead of writing and maintaining custom code in bash or python, and simplifies the DAG configuration as well. conn-host '<CDE_JOBS_API_ENDPOINT>'. conn-host '<CDE_JOBS_API_ENDPOINT>'. They were already part of Airflow 1.x

Data Processing 105

Data Processing Testing Machine Learning Management 105

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. As part of the same process, it also generates and tests a whole host of new models and presents the top ones as recommended challengers.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

AWS Big Data

DECEMBER 5, 2024

This type of structure is foundational at REA for building microservices and timely data processing for real-time and batch use cases like time-sensitive outbound messaging, personalization, and machine learning (ML). We obtained a more comprehensive understanding of the cluster’s performance by conducting these various test scenarios.

Metrics 95

Metrics Dashboards Testing Optimization 95

Smart Data Collective

DECEMBER 6, 2022

A big part of what enables this constant deployment of new applications is a testing process known as static application security testing, or SAST. It is frequently referred to as “white box testing.” Companies are using AI technology to deal with a host of new cybersecurity threats.

Strategy 123

Strategy Testing Software Risk 123

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Pandemic “Pressure” Testing. However, through this real-time “pressure test”, they identified areas of weakness, dependencies, and opportunities. Challenges of implementing ML and AI at scale.

Risk 103

Risk Optimization Management Insurance 103

Smart Data Collective

FEBRUARY 20, 2022

With these tools, your SaaS can: Merge and improve the application code constantly Automate the development, testing, and release of software Integrate operations and developer workflows And much more. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Easy to use.

Cost-Benefit 125

Cost-Benefit Data Lake Software Machine Learning 125

CIO Business Intelligence

SEPTEMBER 9, 2024

A comprehensive regulatory reach DORA addresses a broad range of ICT risks, including incident response, resilience testing, third-party risk management, and information sharing. The regulation impacts a broad spectrum of financial institutions, including banks, brokers, credit institutions, insurance companies, and payments processors.

Risk Management 115

Risk Management Risk Management IT 115

AWS Big Data

JUNE 10, 2024

Consumer personas – Consumers include data analysts who run queries on the data lake, data scientists who prepare data for machine learning (ML) models and conduct exploratory analysis, as well as downstream systems that run batch jobs on the data within the data lake. Test access using Athena queries in the consumer account.

Data Lake 113

Data Lake Metadata Data Warehouse Data Processing 113

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. So end to end, our strategic priority has stood the test of time. AI and machine learning are mature today.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

OCTOBER 18, 2023

The context tests us and it’s necessary to reinvent ourselves every day.” So as a fundamental part of its goal to be data-driven, for example, the company is in the midst of implementing a platform that can host all analytical capabilities.

Digital Transformation 128

Digital Transformation Insurance Interactive Sales 128

Cloudera

JUNE 26, 2023

For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. NiFi’s data provenance capability makes it simple to enhance, test, and trust data that is in motion.

Testing 81

Testing Data Processing Visualization Data Science 81

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. In a multi-account environment, the governance account will host the Amazon DataZone domain and the remaining accounts will be associated to it.

Metadata 104

Metadata Data Lake Data Processing Data-driven 104