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%. That is what were attempting to solve with this agentic platform.

Optimization 65

Optimization Testing Manufacturing Finance 65

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Data teams and analysts start by creating common definitions of key performance indicators, which Sisu then utilizes to automatically test thousands of hypotheses to identify differences between groups. The product features fact boards, annotations and the ability to share facts and analysis across teams.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

DataKitchen

DECEMBER 9, 2024

data quality tests every day to support a cast of analysts and customers. DataKitchen loaded this data and implemented data tests to ensure integrity and data quality via statistical process control (SPC) from day one. The numbers speak for themselves: working towards the launch, an average of 1.5

Data Quality 173

Data Quality Data Lake Testing Statistics 173

Analytics Vidhya

NOVEMBER 19, 2021

In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples. If we use the same labeled examples for testing our model […]. This is article was published as a part of the Data Science Blogathon.

Machine Learning 361

Machine Learning Testing Data Science Publishing 361

O'Reilly on Data

DECEMBER 10, 2024

That seemed like something worth testing outor at least playing around withso when I heard that it very quickly became available in Ollama and wasnt too large to run on a moderately well-equipped laptop, I downloaded QwQ and tried it out. How do you test a reasoning model? But thats hardly a valid test.

Testing 240

Testing Modeling Software IT 240

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 158

Testing Data-driven Software Measurement 158

DataKitchen

APRIL 13, 2021

Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.

Testing 312

Testing Machine Learning Consulting Data Science 312

CIO Business Intelligence

NOVEMBER 19, 2024

Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed. In our real-world case study, we needed a system that would create test data. This data would be utilized for different types of application testing.

Testing 135

Testing Cost-Benefit Interactive ROI 135

O'Reilly on Data

OCTOBER 19, 2021

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. However, none of these layers help with modeling and optimization. We cannot expect data scientists to write modeling frameworks like PyTorch or optimizers like Adam from scratch!

IT 362

IT Testing Experimentation Software 362

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Having chosen Amazon S3 as our storage layer, a key decision is whether to access Parquet files directly or use an open table format like Iceberg.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

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 128

Optimization Testing Data-driven Strategy 128

DataKitchen

MARCH 20, 2025

Rather than concentrating on individual tables, these teams devote their resources to ensuring each pipeline, workflow, or DAG (Directed Acyclic Graph) is transparent, thoroughly tested, and easily deployable through automation. Their data tables become dependable by-products of meticulously crafted and managed workflows.

Data Quality 130

Data Quality Testing Metrics Management 130

AWS Big Data

DECEMBER 5, 2024

As the use of Hydro grows within REA, it’s crucial to perform capacity planning to meet user demands while maintaining optimal performance and cost-efficiency. To address this, we used the AWS performance testing framework for Apache Kafka to evaluate the theoretical performance limits.

Metrics 96

Metrics Dashboards Testing Optimization 96

CIO Business Intelligence

DECEMBER 3, 2024

CIOs and other executives identified familiar IT roles that will need to evolve to stay relevant, including traditional software development, network and database management, and application testing. In software development today, automated testing is already well established and accelerating.

IT 128

IT Testing Software Data-driven 128

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 105

Cost-Benefit Testing Metrics Optimization 105

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 130

Optimization Statistics Metadata Data Lake 130

CIO Business Intelligence

DECEMBER 18, 2024

Trading: GenAI optimizes quant finance, helps refine trading strategies, executes trades more effectively, and revolutionizes capital markets forecasting. Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

CIO Business Intelligence

FEBRUARY 4, 2025

And we gave each silo its own system of record to optimize how each group works, but also complicates any future for connecting the enterprise. We optimized. And its testing us all over again. Stop siloed thinking Each business unit and function aims to optimize operational efficiency. We automated.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric.

Marketing 363

Marketing Experimentation Metrics Testing 363

AWS Big Data

NOVEMBER 19, 2024

Customers maintain multiple MWAA environments to separate development stages, optimize resources, manage versions, enhance security, ensure redundancy, customize settings, improve scalability, and facilitate experimentation. micro, remember to monitor its performance using the recommended metrics to maintain optimal operation.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

JUNE 3, 2024

Let’s look at a few tests we performed in a stream with two shards to illustrate various scenarios. In the first test, we ran a producer to write batches of 30 records, each being 100 KB, using the PutRecords API. For our test scenario, we can only see each key being used one time because we used a new UUID for each record.

Optimization 126

Optimization Metrics Data Processing Testing 126

AWS Big Data

AUGUST 7, 2024

In this post, we examine the OR1 instance type, an OpenSearch optimized instance introduced on November 29, 2023. For this post, we’re going to consider an indexing-heavy workload and do some performance testing. OR1 is an instance type for Amazon OpenSearch Service that provides a cost-effective way to store large amounts of data.

Optimization 114

Optimization Testing Management IT 114

CIO Business Intelligence

JANUARY 15, 2025

With a political shift in the US that may be more friendly to mergers and acquisitions, 2025 may be a moment for tech companies to free up capital for high-growth opportunities like AI through optimization of their portfolio via targeted strategic divestitures, Brundage and his blog coauthors write.

Sales 130

Sales Data-driven Marketing Optimization 130

AWS Big Data

NOVEMBER 27, 2024

This enables the line of business (LOB) to better understand their core business drivers so they can maximize sales, reduce costs, and further grow and optimize their business. You’re now ready to sign in to both Aurora MySQL cluster and Amazon Redshift Serverless data warehouse and run some basic commands to test them.

Data Warehouse 109

Data Warehouse Analytics Testing Modeling 109

AWS Big Data

JULY 11, 2024

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1) , deliver price-performance improvement over existing instances. For more details about OR1 instances, refer to Amazon OpenSearch Service Under the Hood: OpenSearch Optimized Instances (OR1). OR1 instances use a local and a remote store.

Optimization 115

Optimization Metrics Data Processing Snapshot 115

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

JUNE 21, 2024

Strategies to Optimize Teams for AI and Cybersecurity 1. They are excellent for learning new skills, testing existing ones, and keeping up with the latest cybersecurity and AI technologies. These events challenge participants to solve complex problems with innovative solutions, often under time constraints.

Optimization 122

Optimization Gap analysis Strategy Data-driven 122

AWS Big Data

SEPTEMBER 10, 2024

With the launch of Amazon Redshift Serverless and the various provisioned instance deployment options , customers are looking for tools that help them determine the most optimal data warehouse configuration to support their Amazon Redshift workloads. Amazon Redshift is a widely used, fully managed, petabyte-scale data warehouse service.

Testing 111

Testing Snapshot Data Warehouse Metrics 111

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. You need to monitor it in ways you didn’t before and understand what they’re doing in ways you’ve never had before.

B2B 132

B2B Machine Learning Technology Marketing 132

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. Your Chance: Want to test a professional logistics analytics software? A testament to the rising role of optimization in logistics.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

O'Reilly on Data

FEBRUARY 16, 2023

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. Will it take weeks, months, or years to iron out the problems with Microsoft’s and Google’s beta tests? So it’s not surprising that things are wrong. What are the next steps?

Testing 276

Testing Statistics Modeling Optimization 276

AWS Big Data

NOVEMBER 8, 2024

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. One such optimization for reducing query runtime is to precompute query results in the form of a materialized view. The sample files are ‘|’ delimited text files.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105