AWS Big Data

MARCH 10, 2025

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. Consider using AI-driven scaling and optimization if your current workload requires 32 to 512 base RPUs.

Optimization 68

Optimization Data Warehouse Data-driven Testing 68

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 363

Management Machine Learning Experimentation Metrics 363

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. Testing and Data Observability. Meta-Orchestration.

Testing 300

Testing Machine Learning Consulting Data Quality 300

O'Reilly on Data

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?

Testing 174

Testing Data-driven Software Measurement 174

datapine

OCTOBER 11, 2023

This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others. Let’s dive in with the definition. What Is A Warehouse KPI? Making the use of warehousing metrics a huge competitive advantage.

Metrics 217

Metrics KPI Management Cost-Benefit 217

O'Reilly on Data

OCTOBER 19, 2021

Since software engineers manage to build ordinary software without experiencing as much pain as their counterparts in the ML department, it begs the question: should we just start treating ML projects as software engineering projects as usual, maybe educating ML practitioners about the existing best practices? Why did something break?

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

FEBRUARY 26, 2025

Opkey, a startup with roots in ERP test automation, today unveiled its agentic AI-powered ERP Lifecycle Optimization Platform, saying it will simplify ERP management, reduce costs by up to 50%, and reduce testing time by as much as 85%. Training agent: This agent is for change management and end-user enablement.

Optimization 64

Optimization Testing Manufacturing Finance 64

AWS Big Data

OCTOBER 24, 2024

Amazon OpenSearch Service is a fully managed service for search and analytics. With its scalability, reliability, and ease of use, Amazon OpenSearch Service helps businesses optimize data-driven decisions and improve operational efficiency. Jenkins retrieves JSON files from the GitHub repository and performs validation.

Visualization 92

Visualization Management Data Processing Testing 92

AWS Big Data

JANUARY 9, 2025

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata 107

Metadata Snapshot Cost-Benefit Optimization 107

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Model risk management.

Machine Learning 51

Machine Learning Management Enterprise Risk Management 51

CIO Business Intelligence

MARCH 25, 2025

Even modest investments in database tooling and paying down some data management debt can relieve database administrators of the tedium of manual updates or reactive monitoring, says Graham McMillan, CTO of Redgate. Another concern is if regulations force holistic model retraining, forcing CIOs to switch to alternatives to remain compliant.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

datapine

FEBRUARY 9, 2024

Table of Contents 1) What Is KPI Management? 4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs.

KPI 221

KPI Management Key Performance Indicator Measurement 221

CIO Business Intelligence

NOVEMBER 19, 2024

You can use these agents through a process called chaining, where you break down complex tasks into manageable tasks that agents can perform as part of an automated workflow. Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed.

Testing 135

Testing Cost-Benefit Interactive ROI 135

AWS Big Data

NOVEMBER 19, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA), is a managed Apache Airflow service used to extract business insights across an organization by combining, enriching, and transforming data through a series of tasks called a workflow. This approach offers greater flexibility and control over workflow management.

Metadata 106

Metadata Cost-Benefit Metrics Optimization 106

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

Optimization 123

Optimization Testing Data-driven Strategy 123

CIO Business Intelligence

JANUARY 15, 2025

Nine of 10 CIOs surveyed by Gartner late last year expressed concerns that managing AI costs was limiting their ability to get value from AI. In May, electronic design automation firm Synopsys announced a sale of its security testing software business for $2.1

Sales 130

Sales Data-driven Marketing Optimization 130

CIO Business Intelligence

JANUARY 14, 2025

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. Most importantly, architects make difficult problems manageable. The stakes have never been higher.

Enterprise 119

Enterprise Technology Metrics Measurement 119

O'Reilly on Data

JUNE 15, 2023

They were not imposed from without, but were adopted because they allowed merchants to track and manage their own trading ventures. So, what better place to start with developing regulations for AI than with the management and control frameworks used by the companies that are developing and deploying advanced AI systems?

Metrics 359

Metrics Reporting Measurement Finance 359

CIO Business Intelligence

NOVEMBER 5, 2024

We have a new tool called Authorization Optimizer, an AI-based system using some generative techniques but also a lot of machine learning. Companies and teams need to continue testing and learning. Ed McLaughlin is the president and chief technology officer of Mastercard and a member of the company’s management committee.

B2B 132

B2B Machine Learning Technology Marketing 132

AWS Big Data

DECEMBER 5, 2024

REA Group, a digital business that specializes in real estate property, solved this problem using Amazon Managed Streaming for Apache Kafka (Amazon MSK) and a data streaming platform called Hydro. In each environment, Hydro manages a single MSK cluster that hosts multiple tenants with differing workload requirements.

Metrics 79

Metrics Dashboards Testing Optimization 79

O'Reilly on Data

JUNE 19, 2019

One sure sign that companies are getting serious about machine learning is the growing popularity of tools designed specifically for managing the ML model development lifecycle, such as MLflow and Comet.ml. hyperparameter tuning, NAS ) while emphasizing the ease with which one can manage, track, and reproduce such experiments.

Modeling 249

Modeling Machine Learning Testing Metrics 249

CIO Business Intelligence

NOVEMBER 13, 2024

The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. It gets beyond what we can manage.”

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

MARCH 19, 2025

Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly. Before that, though, ServiceNow announced its AI Agents offering in September, with the first use cases for customer service management and IT service management, available in November.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

JANUARY 30, 2025

Today, underthe brand name Guzmn Minerals, the company, with headquarters in Valencia, is focused on managing its more than 4,000 clients in 53 countries by adhering to its sustainable and human vision for continued growth and international expansion. But that would only go so far without a commitment to technology and digitalization.

Management 59

Management Digital Transformation Consulting Sales 59

AWS Big Data

OCTOBER 3, 2023

Systems of this nature generate a huge number of small objects and need attention to compact them to a more optimal size for faster reading, such as 128 MB, 256 MB, or 512 MB. As of this writing, only the optimize-data optimization is supported. For our testing, we generated about 58,176 small objects with total size of 2 GB.

Optimization 122

Optimization Snapshot Data Lake Metadata 122

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Financial efficiency: One of the key benefits of big data in supply chain and logistics management is the reduction of unnecessary costs.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

DataKitchen

SEPTEMBER 20, 2021

Figure 2: The DataKitchen Platform helps you reduce time spent managing errors and executing manual processes from about half to 15%. The other 78% of their time is devoted to managing errors, manually executing production pipelines and other supporting activities. Start with just a few critical tests and build gradually.

Testing 246

Testing Metrics Measurement Dashboards 246

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

FEBRUARY 16, 2023

It might be easy to dismiss these stories as anecdotal at best, fraudulent at worst, but I’ve seen many reports from beta testers who managed to duplicate them. That’s what beta tests are for. You can train models that are optimized to be correct—but that’s a different kind of model. What are the next steps?

Testing 302

Testing Statistics Modeling Optimization 302

CIO Business Intelligence

JANUARY 21, 2025

In todays fast-paced digital landscape, organizations are under constant pressure to adopt new technologies quickly, manage costs effectively, and maintain robust security and compliance standards. Theyre also under tremendous pressure to build, manage, and scale IT automation across the organization.

Cost-Benefit 98

Cost-Benefit Optimization Software Management 98

AWS Big Data

DECEMBER 27, 2024

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. This is a further 32% increase from the optimizations shipped in Amazon EMR 7.1 Benchmark tests for the EMR runtime for Spark and Iceberg were conducted on Amazon EMR 7.5 on EC2 clusters.

Cost-Benefit 102

Cost-Benefit Testing Metrics Optimization 102

CIO Business Intelligence

SEPTEMBER 7, 2023

That’s because the current generation of AI is already very good at two things needed in supply chain management. Ultimately, AI will optimize supply chains to meet specific customer needs for any given situation. A case in point is how Intel helps their OEM customers by providing software tools that test for malware.

Management 138

Management Forecasting Manufacturing Cost-Benefit 138

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. or a later version) database. Create dbt models in dbt Cloud.

Data Warehouse 94

Data Warehouse Analytics Testing Modeling 94

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, it also offers additional optimizations that you can use to further improve this performance and achieve even faster query response times from your data warehouse.

Data Lake 97

Data Lake Data Warehouse Optimization Testing 97

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

Optimization 125

Optimization Statistics Metadata Data Lake 125

datapine

MAY 20, 2020

To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital. With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture.

Dashboards 265

Dashboards Reporting KPI Visualization 265

AWS Big Data

NOVEMBER 22, 2024

This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. This enables you to extract insights from your data without the complexity of managing infrastructure.

Data Lake 84

Data Lake Data Warehouse Cost-Benefit Data Transformation 84