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. A new generation of digital-first companies emerged that reimagined operations, enterprise architecture, and work for what was becoming a digital-first world. We optimized.

Digital Transformation 144

Digital Transformation Optimization Sales Enterprise 144

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

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. Continue reading Managing machine learning in the enterprise: Lessons from banking and health care.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

CIO Business Intelligence

MARCH 25, 2025

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. 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.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

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

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. However, none of these layers help with modeling and optimization.

IT 364

IT Testing Experimentation Software 364

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

AWS Big Data

DECEMBER 5, 2024

Enterprises that need to share and access large amounts of data across multiple domains and services need to build a cloud infrastructure that scales as need changes. 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.

Metrics 98

Metrics Dashboards Testing Optimization 98

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

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. In a medium to large enterprise, many steps have to happen correctly to deliver perfect analytic insights. Start with just a few critical tests and build gradually.

Testing 246

Testing Metrics Measurement Dashboards 246

David Menninger's Analyst Perspectives

MAY 15, 2025

Our research shows that more than half of enterprises (58%) have the majority of data platforms in the cloud, but a substantial portion is deployed on premises. The software provider also claims to be working on other types of assistants, such as creating data integration and transformation pipelines, test data and generating schemas.

Data Lake 130

Data Lake Data Warehouse Machine Learning Software 130

CIO Business Intelligence

APRIL 30, 2025

These IT pros are tasked with overseeing the adoption of cloud-based AI solutions in an enterprise environment, further expanding the responsibility scope of the role. At organizations that have already completed their cloud adoption, cloud architects help maintain, oversee, troubleshoot, and optimize cloud architecture over time.

Testing 108

Testing Cost-Benefit Optimization Software 108

CIO Business Intelligence

OCTOBER 24, 2024

Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely. The expectation for immediate returns on AI investments will see many enterprises scaling back their efforts sooner than they should,” Chaurasia and Maheshwari said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

SEPTEMBER 26, 2024

Looking beyond existing infrastructures For a start, enterprises can leverage new technologies purpose-built for GenAI. Underpinning this is an AI-optimized infrastructure, the first layer (or the nuts and bolts) of the factory itself. This layer serves as the foundation for enterprises to elevate their GenAI strategy.

Enterprise 130

Enterprise Data-driven Risk Testing 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. 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

CIO Business Intelligence

MARCH 19, 2025

Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot. Then in November, the company revealed its Azure AI Agent Service, a fully-managed service that lets enterprises build, deploy and scale agents quickly.

Software 143

Software Risk Enterprise Cost-Benefit 143

Smart Data Collective

NOVEMBER 12, 2021

Designed to test the efficacy of existing security controls and improve them, BAS spots vulnerabilities in security environments by mimicking the possible attack paths and methods that will be employed by hackers and other bad actors. BAS is one of the top features in security posture management platforms for enterprises.

Strategy 143

Strategy Enterprise Testing Cost-Benefit 143

O'Reilly on Data

JUNE 19, 2019

In a previous post , we noted some key attributes that distinguish a machine learning project: Unlike traditional software where the goal is to meet a functional specification, in ML the goal is to optimize a metric. A catalog or a database that lists models, including when they were tested, trained, and deployed.

Modeling 258

Modeling Machine Learning Testing Metrics 258

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

CIO Business Intelligence

JUNE 18, 2024

Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. Now they merely review AI content and can get back to more strategic tasks,” he says.

Enterprise 134

Enterprise Forecasting Unstructured Data Reporting 134

IBM Big Data Hub

NOVEMBER 6, 2023

Enterprise businesses are continuing to move toward digitalized and cloud-based IT infrastructures. And with cybercriminals proliferating and gaining access to more sophisticated hacking technologies, implementing API security protocols will only become more crucial to enterprise data security. Security testing.

Optimization 113

Optimization Testing Software Risk 113

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

CIO Business Intelligence

FEBRUARY 1, 2024

The other side of the cost/benefit equation — what the software will cost the organization, and not just sticker price — may not be as captivating when it comes to achieving approval for a software purchase, but it’s just as vital in determining the expected return on any enterprise software investment. What is TCO and why is it important?

Software 131

Software Enterprise Cost-Benefit ROI 131

O'Reilly on Data

MAY 14, 2020

Because they are building an AI product that will be consumed by the masses, it’s possible (perhaps even desirable) to optimize for rapid experimentation and iteration over accuracy—especially at the beginning of the product cycle. However, it may not be easy to access or contextualize this data, especially in enterprises.

Management 364

Management Experimentation B2B Machine Learning 364

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift scales linearly with the number of users and volume of data, making it an ideal solution for both growing businesses and enterprises. First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have launched new RA3.large

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

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. We’re doing two things,” he says.

IT 141

IT Consulting ROI Cost-Benefit 141

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Build and test training and inference prompts.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

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. with over 15 years of experience in enterprise data strategy, governance and digital transformation. Ive seen this firsthand.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

AWS Big Data

OCTOBER 30, 2024

Collaborating closely with our partners, we have tested and validated Amazon DataZone authentication via the Athena JDBC connection, providing an intuitive and secure connection experience for users. Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability. Connect with him on LinkedIn.

Analytics 119

Analytics Visualization Data Governance Data-driven 119

CIO Business Intelligence

JANUARY 21, 2025

For example, companies can optimize time-to-value with standardized contracts and flexible payment options, allowing them to test software, pay as they go, negotiate custom terms, and save with volume pricing. Businesses can also optimize costs by consolidating third-party spending with AWS billing.

Cost-Benefit 98

Cost-Benefit Optimization Software Management 98

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If humans are no longer needed to write enterprise applications, what do we do? have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on.

Machine Learning 279

Machine Learning Software Metadata Testing 279

IBM Big Data Hub

FEBRUARY 13, 2024

The best option for an enterprise organization depends on its specific needs, resources and technical capabilities. It also plays a significant role in identifying and fixing bugs in the code and to automate the testing of code; helping ensure the code works as intended and meets quality standards without requiring extensive manual testing.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

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

Rocket-Powered Data Science

JUNE 17, 2022

tight coupling of cyber-physical systems, digital twinning of almost anything in the enterprise, and more. log analytics and anomaly detection) across distributed data sources and diverse enterprise IT infrastructure resources. Reference ) Splunk Enterprise 9.0 Reference ) Splunk Enterprise 9.0 is here, now! is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

CIO Business Intelligence

APRIL 11, 2024

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. Oracle is helped by the fact that it has two offerings for enterprise applications, says Thompson.

Enterprise 124

Enterprise IT Data Processing Strategy 124

DataKitchen

AUGUST 19, 2021

Data mesh and DataOps provide the organization, enterprise architecture, and workflow automation that together enable a relatively small data team to address the analytics needs of hundreds of active business users. A domain query provides information about builds, data, artifacts, and test results.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

MARCH 4, 2025

In fact, successful recovery from cyberattacks and other disasters hinges on an approach that integrates business impact assessments (BIA), business continuity planning (BCP), and disaster recovery planning (DRP) including rigorous testing. Download the AI Risk Management Enterprise Spotlight.)

Testing 64

Testing Risk Consulting Risk Management 64