CIO Business Intelligence

OCTOBER 23, 2024

That means creating custom models, fine-tuning existing models, or using retrieval augmented generation (RAG) embedding to give gen AI systems access to up-to-date and accurate corporate information. We didn’t want our data going into a public model,” says Matt Bostrom, Spirent’s VP of enterprise technology and strategy.

Cost-Benefit

Jen Stirrup

JULY 13, 2025

The Solution: Data Strategy as well as AI It is tempting to think that the answer to succesful AI is to implement more AI! Instead, organizations must prioritize: Cohesive data governance Rigorous data quality controls Effective integration frameworks A strong data strategy is the foundation of sustainable AI success.

Digital Transformation

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure.

Data Governance

AWS Big Data

JULY 7, 2025

This approach showed limitations as the data complexity increased, data volumes grew, and demand for quick, business-driven insights rose. These challenges are encountered by financial institutions worldwide, leading to a reassessment of traditional data management practices.

Data-driven

AWS Big Data

JUNE 24, 2025

SageMaker brings together AWS artificial intelligence and machine learning (AI/ML) and analytics capabilities and delivers an integrated experience for analytics and AI with unified access to data. The SageMaker compatibility with OpenLineage can help simplify governance of your data assets and increase trust in your data.

Testing

AWS Big Data

DECEMBER 4, 2024

Domain ownership recognizes that the teams generating the data have the deepest understanding of it and are therefore best suited to manage, govern, and share it effectively. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata

Teradata

MAY 30, 2025

Data domains In the data mesh architecture, data domains represent distinct business areas or use cases within an organization. Each data domain is owned and managed by a dedicated team responsible for its data quality, governance, and accessibility.

Machine Learning

Ontotext

DECEMBER 6, 2024

Though vector embedding and high dimensional mapping to the Vector Space Model (VSM) has recently gained prominence, headspace, and usage with the advent of GenAI, it has been used as a key information retrieval technique for over two decades. Popular full-text search engines have been leveraging VSM for years. GraphDBs v 10.8

Modeling

CIO Business Intelligence

FEBRUARY 18, 2025

My journey started by looking at the AI opportunity landscape in terms of business and technology maturity models, patterns, risk, reward and the path to business value. Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy.

Machine Learning

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. OwlDQ — Predictive data quality.

Testing

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality

O'Reilly on Data

MARCH 31, 2020

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. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Viescas, Douglas J.

Business Intelligence

erwin

SEPTEMBER 2, 2024

Added data quality capability ready for an AI era Data quality has never been more important than as we head into this next AI-focused era. erwin Data Quality is the data quality heart of erwin Data Intelligence. erwin Data Quality is the data quality heart of erwin Data Intelligence.

Data Quality

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. We stand on the frontier of an AI revolution.

Enterprise

datapine

APRIL 15, 2020

Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. In the traditional model communication between developers and business users is not a priority. You need to determine if you are going with an on-premise or cloud-hosted strategy.

Business Intelligence

datapine

MAY 31, 2022

Instead of installing software on your own servers, SaaS companies enable you to rent software that’s hosted, this is typically the case for a monthly or yearly subscription fee. More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model.

Risk

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Click here to read our success story on how E.ON

Data Governance

Timo Elliott

JANUARY 4, 2021

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. The key takeaways.

Dashboards

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. This enables data-driven decision-making across the organization.

Data-driven

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. We created our data model in a way that satisfied the requirements of what we had a vision of.

Management

Cloudera

OCTOBER 1, 2022

Adam Wood, director of data governance and data quality at a financial services institution (FSI). Sam Charrington, founder and host of the TWIML AI Podcast. Sam Charrington, founder and host of the TWIML AI Podcast. Common data governance challenges for global enterprises: Setting up a multidisciplinary data team.

Data Governance

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. The inherent risk is trust.

Enterprise

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. 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.

Metadata

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

Enterprise

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Across the industry, the pandemic caused a huge breakdown in model performance due to the change in macroeconomic conditions and government stimulus packages. Mental health of employees is a critical area to monitor .

Risk

CIO Business Intelligence

JUNE 14, 2022

The mission also sets forward a target of 50% of high-priority data quality issues to be resolved within a period defined by a cross-government framework. These systems will also be hosted – or are planned to be hosted – in appropriate environments aligned to the cross-government cloud and technology infrastructure strategy.

Strategy

CIO Business Intelligence

FEBRUARY 28, 2024

However, getting into the more difficult types of implementations — the fine-tuned models, vector databases to provide context and up-to-date information to the AI systems, and APIs to integrate gen AI into workflows — is where problems might crop up. That’s fine, but language models are great for language. They need stability.

IT

CIO Business Intelligence

AUGUST 14, 2024

It’s embedded in the applications we use every day and the security model overall is pretty airtight. Microsoft has also made investments beyond OpenAI, for example in Mistral and Meta’s LLAMA models, in its own small language models like Phi, and by partnering with providers like Cohere, Hugging Face, and Nvidia. That’s risky.”

Enterprise

datapine

AUGUST 7, 2019

If you’re part of a growing SaaS company and are looking to accelerate your success, leveraging the power of data is the way to gain a real competitive edge. A SaaS dashboard is a powerful business intelligence tool that offers a host of benefits for ambitious tech businesses. That’s where SaaS dashboards enter the fold.

Dashboards

CIO Business Intelligence

MAY 20, 2022

National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.

IT

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. .

Informatics

CIO Business Intelligence

APRIL 25, 2022

It culminates with a capstone project that requires creating a machine learning model. Data Science Dojo. Due to the short nature of the course, it’s tailored to those already in the industry who want to learn more about data science or brush up on the latest skills. Switchup rating: 5.0 (out Cost: $1,099.

Data Science