CIO Business Intelligence

JANUARY 9, 2025

They struggle with ensuring consistency, accuracy, and relevance in their product information, which is critical for delivering exceptional shopping experiences, training reliable AI models, and building trust with their customers. The platform offers tailored solutions for different market segments.

B2B 105

B2B Cost-Benefit Data-driven Sales 105

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 94

Metadata Data Governance Data Quality Data-driven 94

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 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

JANUARY 15, 2025

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. To achieve this, EUROGATE designed an architecture that uses Amazon DataZone to publish specific digital twin data sets, enabling access to them with SageMaker in a separate AWS account.

IoT 101

IoT Machine Learning Metadata Data-driven 101

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 292

Business Intelligence Data Warehouse Data Processing Data mining 292

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 76

Data Quality Data Lake Visualization Data-driven 76

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 52

Data Quality Data Processing Measurement Metadata 52

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 128

Enterprise Technology Modeling Cost-Benefit 128

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 276

Business Intelligence Analytics Testing Dashboards 276

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 237

Risk Cost-Benefit Business Intelligence Data-driven 237

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 128

Data Governance Metadata Cost-Benefit Data-driven 128

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 139

Dashboards Visualization Data-driven Forecasting 139

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 111

Management Insurance ROI Cost-Benefit 111

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 75

Data Governance Strategy Enterprise Machine Learning 75

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 106

Data-driven Data Lake Data Quality Data Governance 106

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 124

Enterprise IT Data Processing Strategy 124

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 71

Enterprise Data Integration Data Quality Contextual Data 71

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 52

Risk Modeling Metrics Business Objectives 52

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 100

Risk Optimization Management Insurance 100

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 105

Strategy IT Digital Transformation Data Processing 105

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 52

Data Governance Publishing Data-driven Metadata 52

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 131

IT Consulting Modeling Enterprise 131

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 136

Enterprise Cost-Benefit Experimentation Modeling 136

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 87

Metadata Data Lake Data Processing Data-driven 87

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 168

Dashboards Management KPI Cost-Benefit 168

CIO Business Intelligence

JULY 31, 2024

We’ve built digital twins for several furnaces we operate across the globe, and we currently have 70 AI models running on those furnaces. These models allow us to predict failures early, and we forecast a 20% reduction in furnace unplanned events, improving repair times by at least two days. So AI helps us have fewer emergencies.

Manufacturing 122

Manufacturing Cost-Benefit Digital Transformation Forecasting 122

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 105

IT Internet of Things Digital Transformation Data Architecture 105

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 98

Informatics Modeling Deep Learning Testing 98

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 145

Data Science Machine Learning Deep Learning Statistics 145

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

IBM Big Data Hub

MAY 8, 2023

Should the parameters of an algorithm be leaked, a third party may be able to copy the model, causing economic and intellectual property loss to the owner of the model. This is to ensure the AI model captures data inputs and usage patterns, required validations and testing cycles, and expected outputs.

Insurance 68

Insurance Risk Testing Data Quality 68

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. The reality of LLMs and other “narrow” AI technologies is that none of them is turn-key.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 94

Data Lake Analytics Snapshot Data Quality 94

DataKitchen

FEBRUARY 21, 2023

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Ontotext

SEPTEMBER 15, 2020

There must be a representation of the low-level technical and operational metadata as well as the ‘real world’ metadata of the business model or ontologies. The multiple and varying ‘views’ of the data are now possible without modifying the data at its source or the host system.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Laminar Security

DECEMBER 1, 2023

DSPM is a term coined by Gartner to describe solutions that focus on discovering, classifying, and protecting sensitive data in cloud environments. DSPM solutions help organizations achieve data security compliance, reduce data breach risks, optimize cloud costs, and improve data quality, all while enabling data-driven innovation.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

DataRobot Blog

FEBRUARY 11, 2022

DataRobot’s MLOps product offers a host of features designed to transform organizations’ user experience, firstly, through its model-monitoring agents. These agents apply the concept familiar in the DevOps world—to run models in their preferred environments while monitoring all models centrally. Governance and Trust.

Machine Learning 52

Machine Learning Cost-Benefit ROI Data Processing 52