CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Despite being primarily an AWS shop, Rocket has taken a model-agnostic approach to generative AI platforms.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 78

Risk Modeling Management Metadata 78

CIO Business Intelligence

AUGUST 4, 2022

That’s typically due to the exponential growth in dataset size and complexity of AI models. “In In an early phase, you might submit a job to the cloud where a training run would execute and the AI model would converge quickly,” says Tony Paikeday, senior director of AI systems at NVIDIA.

Modeling 97

Modeling Cost-Benefit ROI Data Lake 97

CDW Research Hub

JULY 18, 2022

One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform. Sirius has created a lightweight development tool to rapidly build and deploy best-practice data models. Security Data Lake. Learn more about our Security Data Lake Solution.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

APRIL 1, 2024

Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. You’ll also institute guardrails for data governance, data quality, data integrity, and data security.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Smart Data Collective

AUGUST 17, 2022

A hybrid cloud system is a cloud deployment model combining different cloud types, using both an on-premise hardware solution and a public cloud. You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others.

Data Lake 107

Data Lake Insurance Data-driven Data Processing 107

CIO Business Intelligence

DECEMBER 6, 2023

Enabling consistency in the data sets from these varied sites is integral to DS Smith’s analytics strategy, as well as for anticipated changes in the company’s technology and business models, Dickson says. Here, Dickson sees data generated from its industrial machines being very productive.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

CIO Business Intelligence

MAY 12, 2022

Driverless AI offers automated pipeline; AI adapts to incoming data. Drag-and-drop Modeler for creating pipelines, IBM integrations. Full IDE for data scientists, automation for non-coding users, drag-and-drop designer. SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

MARCH 18, 2024

By leveraging data replication and synchronization, businesses can effectively integrate vast amounts of fragmented data from a variety of environments into a more cohesive data experience for its users. That data also only needs to be replicated once and can then subsequently be applied to multiple targets.

Cost-Benefit 98

Cost-Benefit Data Lake Machine Learning Data Integration 98

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data.

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle’s digital business in 2022 was $3.5 billion — magnitudes bigger than the $100 million to $200 million annual average before digital ordering processes were implemented in the business. It allows us to build models and applications very quickly and with transparency.

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

CIO Business Intelligence

MAY 5, 2023

The combination of CarMax’s revolutionary digital business model applied to the used-car business with revolutionary AI tools available to all makes for powerful and profitable business outcomes. s enhanced “iteration on prompts” to feed scrubbed and formatted data for thousands of used cars into a DaVinci model.

Digital Transformation 145

Digital Transformation Cost-Benefit Business Driver Data Lake 145

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light.

Experimentation 137

Experimentation Cost-Benefit Data Lake Data Science 137

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. Reem Alaya Lebhar. Talal Mufti.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

CIO Business Intelligence

APRIL 4, 2024

The developing client-centered system Al Rawi is proud of the office’s use of the cloud and the creation of what might be the first indigent defense data lake ever established, on Azure. Another model transcribes video into natural language processing to save time for defenders.

Digital Transformation 112

Digital Transformation Data Lake ROI Modeling 112

CIO Business Intelligence

MAY 23, 2022

McDermott’s sustainability innovation would not have been possible without key advancements in the cloud, analytics, and, in particular, data lakes, Dave notes. But for Dave, the key ingredient for innovation at McDermott is data. Vagesh Dave. McDermott International. The structures for mining this fuel?

Data Lake 106

Data Lake Data mining IoT Digital Transformation 106

CIO Business Intelligence

APRIL 11, 2022

Although centralized data models and architectures, including data lakes and data-center-based warehouses and repositories, may no longer be the leading data strategy, elements of a centralized approach remain a critical part of the mix. over last year. In many cases, this created a mostly unusable swamp.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

CIO Business Intelligence

FEBRUARY 12, 2024

Infine, il flusso delle segnalazioni e delle attività di AMA genera una gran mole di dati per il sistema SAP e, per essere più efficaci, cominceremo a gestirlo con una data platform e la business intelligence”. Uniformare i processi significa uniformare la lettura del business e aprire il terreno a crescita organica e non”.

Digital Transformation 98

Digital Transformation Management Business Intelligence Internet of Things 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 120

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 120

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

OCTOBER 8, 2020

Companies everywhere are building innovative business applications to support their customers, partners and employees and are increasingly migrating from legacy to cloud environments. But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

FEBRUARY 16, 2023

“It gives a lot of power to our providers in selling their services and at the same time gets more NPS [net promoter score] for us from the patient,” says Iyengar, who believes AI will play a critical role in Straumann’s image processing and lab treatments businesses. For now, it operates under a centralized “hub and spokes” model.

Unstructured Data 106

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 106

CIO Business Intelligence

APRIL 12, 2023

All of this needs to work cohesively in a real-time ecosystem and support the speed and scale necessary to realize the business benefits of real-time AI. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

APRIL 25, 2024

Follow an agile model to iterate and deliver value over time. At a minimum, your DIY cloud cost optimization team will require an enterprise architect who understands the technology, says Garcia, who also recommends a financial developer or somebody with financial and data science experience. Assign a product owner.

Management 125

Management Optimization Strategy Enterprise 125

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CDW Research Hub

JULY 27, 2021

Reduce the total cost of ownership of the data infrastructure. Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools. Mitigate risks with a seamless cloud migration.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Jen Stirrup

MAY 5, 2020

Azure allows you to protect your enterprise data assets, using Azure Active Directory and setting up your virtual network. Other technologies, such as Azure Data Factory, can help process large amounts of data around in the cloud. The data is also distributed. So, Azure Databricks connects to many different data sources.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

CIO Business Intelligence

SEPTEMBER 6, 2022

It was very fragmented, and I brought it together into a hub-and-spoke model.”. The new model enables Very to design once and deploy everywhere, while maintaining a product focus. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Where do we store it?

IT 98

IT Forecasting Data Lake Enterprise 98

AWS Big Data

APRIL 11, 2023

By collecting data from store sensors using AWS IoT Core , ingesting it using AWS Lambda to Amazon Aurora Serverless , and transforming it using AWS Glue from a database to an Amazon Simple Storage Service (Amazon S3) data lake, retailers can gain deep insights into their inventory and customer behavior.

Forecasting 72

Forecasting Management IoT Data-driven 72

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

CIO Business Intelligence

MARCH 18, 2024

We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We We have been developing our own internal AI capability over the last few years using open-source models. AI tools rely on the data in use in these solutions. Nafde agrees.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122