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. The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. Generally, there’s optimism and a positive mindset when heading into AI.”

IT 141

IT Consulting ROI Cost-Benefit 141

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. Hmm, interesting.

Testing 256

Testing Modeling Software IT 256

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 66

Optimization Data Warehouse Data-driven Testing 66

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. What is it, how does it work, what can it do, and what are the risks of using it? Or a text adventure game.

IT 344

IT Modeling Testing Risk 344

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

Analytics Vidhya

JULY 10, 2024

It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch.

Testing 364

Testing Optimization Analytics IT 364

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. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

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 164

Data Quality Data Lake Testing Statistics 164

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 164

Data Quality Testing Metrics Management 164

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 64

Optimization Testing Manufacturing Finance 64

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 304

Testing Machine Learning Consulting Data Quality 304

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. However, they are used as a prominent component of agentic AI. Agents will play different roles as part of a complex workflow, automating tasks more efficiently.

Testing 135

Testing Cost-Benefit Interactive ROI 135

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis. Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

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

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. The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. Identifying the problem.

Marketing 364

Marketing Experimentation Metrics Testing 364

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

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 97

Metrics Dashboards Testing Optimization 97

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

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. We have a new tool called Authorization Optimizer, an AI-based system using some generative techniques but also a lot of machine learning. We live in an age of miracles. Is AI a problem-solver?

B2B 132

B2B Machine Learning Technology Marketing 132

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. It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price.

Testing 299

Testing Statistics Modeling Optimization 299

CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. Theyre impressive, no doubt.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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. It enhances infrastructure security and availability while reducing operational overhead. The introduction of mw1.micro

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

CIO Business Intelligence

MARCH 19, 2025

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. The next evolution of AI has arrived, and its agentic. The technology is relatively new, but all the major players are already on board. But its not all smooth sailing since gen AI itself isnt anywhere near perfect.

Software 143

Software Risk Enterprise Cost-Benefit 143

CIO Business Intelligence

MARCH 25, 2025

What CIOs can do: To make transitions to new AI capabilities less costly, invest in regression testing and change management practices around AI-enabled large-scale workflows. Forrester reports that 30% of IT leaders struggle with high or critical debt, while 49% more face moderate levels.

Risk 123

Risk Cost-Benefit Data-driven Digital Transformation 123

O'Reilly on Data

JANUARY 9, 2024

They had bugs, particularly if they were optimizing your code (were optimizing compilers a forerunner of AI?). Specifically, could ChatGPT N (for large N) quit the game of generating code in a high-level language like Python, and produce executable machine code directly, like compilers do today? It’s not really an academic question.

Modeling 347

Modeling Software Testing Optimization 347

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 110

Data Warehouse Analytics Testing Modeling 110

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

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

O'Reilly on Data

SEPTEMBER 19, 2023

.” That came to mind when a friend raised a point about emerging technology’s fractal nature. Across one story arc, they said, we often see several structural evolutions —smaller-scale versions of that wider phenomenon. Cloud computing? All they needed was a tool that could handle the massive workload. And Hadoop rolled in.

Machine Learning 335

Machine Learning Testing Modeling Cost-Benefit 335

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. When an application attempts to write more data than what is allowed, it will receive write throughput exceeded errors.

Optimization 126

Optimization Metrics Data Processing Testing 126

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? These applications are designed to benefit logistics and shipping companies alike.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use. Highlight how ESG metrics can enhance risk management, regulatory compliance and brand reputation.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

APRIL 10, 2024

The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure it would need to build and train its huge AI models and quickly determined that buying and maintaining the hardware would be prohibitively expensive. Clark says.

IT 119

IT Testing Optimization Modeling 119

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 115

Optimization Testing Management IT 115

CIO Business Intelligence

MARCH 4, 2025

Operational efficiency: Logistics firms employ AI route optimization, cutting fuel costs and improving delivery times. Through the Zimin Institutes , which I helped establish, were translating academic research into commercial solutions. It was hard to imagine this pace 5-10 years ago. Some companies just dont know where to begin.

Technology 118

Technology ROI Cost-Benefit Manufacturing 118