AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

Smart Data Collective

AUGUST 13, 2019

Machine learning is rewriting the rules of the gaming industry. One report showed that Caesars is investing $1 billion in big data. I still remember playing my favorite games growing up, before machine learning was a thing or big data was a household word. Other companies are following suit.

Machine Learning 72

Machine Learning Big Data Data Lake Strategy 72

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. “As

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

CIO Business Intelligence

DECEMBER 6, 2023

British multinational packaging giant DS Smith has committed itself to ambitious sustainability goals, and its IT strategy to standardize on a single cloud will be a key enabler. The single-cloud platform strategy will include SaaS partners used for automation of more than 40 enterprise applications, Dickson says.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

CIO Business Intelligence

APRIL 12, 2023

Real-time AI involves processing data for making decisions within a given time frame. Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data.

Snapshot 112

Snapshot Data Lake Metadata Recreation/Entertainment 112

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. Returning to the analogy, there have been significant changes to how we power cars.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

Management 87

Management IT Machine Learning Metrics 87

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 82

Data Lake Data Governance Data Architecture Machine Learning 82

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

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

IBM Big Data Hub

JANUARY 19, 2024

Expressing and communicating a mission-based strategy In recent years, organizations have embraced subjects like Diversity, Equity and Inclusion (DEI), environmental protection and other social justice topics. As such, future CX strategies will be more data-driven than ever before.

Data-driven 94

Data-driven Consulting Interactive Data Lake 94

Cloudera

OCTOBER 6, 2022

Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise. For example, we have some customers using their data platform originally established for compliance initiatives to drive new use cases.

Digital Transformation 84

Digital Transformation Cost-Benefit Data Lake Machine Learning 84

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Chipotle’s digital business in 2022 was $3.5

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

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 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. Reinterpreting the centralized strategy. 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

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.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. Newer methods can work with large amounts of data and are able to unearth latent interactions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

Jedox

DECEMBER 28, 2021

No matter the industry, whether in manufacturing, retail, or banking, automated processes offer the opportunity enhance resource allocation, allowing employees to spend more time on strategy and value creation that improves long-term business performance. Smart FP&A professionals will consider it a part of their overall 2022 strategy.

Digital Transformation 95

Digital Transformation Finance Machine Learning Forecasting 95

CIO Business Intelligence

DECEMBER 4, 2023

A modern information lifecycle management approach Today’s ILM approach recognizes the enterprise value of all digitized and enriched assets , avoiding the habituated, narrow reliance ontraditional structured data. When data is stored in a modern, accessible repository, organizations gain newfound capabilities. Connect/Activate.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

APRIL 26, 2023

This multinational production strategy follows an even more international and extensive supplier network. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. To learn more about the Cloud Data Hub, refer to BMW Group Uses AWS-Based Data Lake to Unlock the Power of Data.

Manufacturing 122

Manufacturing Forecasting Data Lake Big Data 122

Timo Elliott

JANUARY 3, 2022

It’s stored in corporate data warehouses, data lakes, and a myriad of other locations – and while some of it is put to good use, it’s estimated that around 73% of this data remains unexplored. Improving data quality. Unexamined and unused data is often of poor quality. Data augmentation.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

CIO Business Intelligence

DECEMBER 1, 2022

Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months. What we are trying to do is operationalize all our analytics and algorithmic libraries.”

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms.

Cost-Benefit 113

Cost-Benefit Data Lake Software Machine Learning 113

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model.

Metadata 78

Metadata Data Lake Optimization Modeling 78

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX).

Cost-Benefit 65

Cost-Benefit Data Warehouse Data Lake Machine Learning 65

Cloudera

SEPTEMBER 15, 2021

And that comes down to being able to act on data at the precise time it requires action. Deploying machine learning (ML) and analytics capabilities at the edge is what makes this possible. . With analytics at the edge, researchers can adjust their work as new data comes in. Real-time Demands. Scalability Requirements.

IoT 115

IoT Analytics Internet of Things Data Lake 115

CIO Business Intelligence

APRIL 29, 2022

Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle. The shift away from ‘Software 1.0’ era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

JUNE 1, 2022

Finally, make sure you understand your data, because no machine learning solution will work for you if you aren’t working with the right data. Data lakes have a new consumer in AI. If you miss what the market needs, you could wind up driving the wrong strategy. How do those roles work together?

IT 97

IT Interactive Marketing Consulting 97

CIO Business Intelligence

SEPTEMBER 12, 2022

Fazal and his team have moved most of NJ Transit’s data to the cloud, evolving from simple reports to advanced analytics and AI/ML models that generate insights that transportation business analysts could only dream about in the past, he says. “We NJ Transit will continue to evolve its cloud infrastructure in service of data innovations.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116