CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

CIO Business Intelligence

OCTOBER 25, 2022

Finally, the problem was shared by the enterprise at large. That insight told them what data they would need, which in turn allowed ChampionX’s IT and Commercial Digital teams to discern who and what they needed to capture it. They needed IoT sensors, for example, to extract relevant data from the sites.

Data Strategy 138

Data Strategy Strategy Data Lake Data-driven 138

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. Enterprises like PepsiCo are also battling for new digital recruits even as they develop digital talent from within. I expected more resistance,” she says. “I

Digital Transformation 124

Digital Transformation IoT Data-driven KPI 124

CIO Business Intelligence

DECEMBER 6, 2023

Laying the data foundation The four pillars of DS Smith’s digital plan revolved around the management and optimization of data generated by industrial machines, energy providers, its supply chain, and customer experience. In total, the company’s operations rely on 700 applications.

Manufacturing 76

Manufacturing Data Lake Digital Transformation Machine Learning 76

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 73

Forecasting Management IoT Data-driven 73

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 111

Analytics IoT Data-driven Snapshot 111

Cloudera

AUGUST 18, 2021

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

CIO Business Intelligence

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. 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.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

APRIL 11, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. This next manifestation of centralized data strategy emanates from past experiences with trying to coalesce the enterprise around a large-scale monolithic data lake. over last year.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

CIO Business Intelligence

APRIL 6, 2022

Enterprises are increasingly moving towards bringing together a human-centric experience with innovations led by cutting-edge technologies. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation. Navigate Your Next Innovation.

Experimentation 79

Experimentation Data Lake Uncertainty Enterprise 79

Cloudera

SEPTEMBER 23, 2020

We are going to talk about auditing, different security levels, security features of Data Catalog, and Client Considerations. Comprehensive auditing is provided to enable enterprises to effectively and efficiently meet their compliance requirements by auditing access and other types of operations across OpDB (through HBase).

Data Lake 81

Data Lake Metadata IoT Enterprise 81

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 97

Internet of Things Data Lake Uncertainty IoT 97

Boris Evelson

NOVEMBER 14, 2018

Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven.

Data-driven 96

Data-driven Data Lake Data Warehouse Business Intelligence 96

CIO Business Intelligence

JULY 12, 2023

Given this, we’re flexing our digital muscle across the enterprise and doubling down on AI to generate additional benefits for our business and our consumers. A massive amount of data is already collected from sensors across all processes and from all supply chain partners. This allows us to use AI in a multitude of fashions.

Manufacturing 93

Manufacturing Cost-Benefit Data Lake Optimization 93

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

In(tegrate) the Clouds

AUGUST 4, 2016

Also driving this trend is the fact that cloud data warehousing and analytics have moved from rogue departmental use cases to enterprise deployments. The third trend is the Internet of Things (IoT). It’s already happening today in some industries with data velocity, variety, and, of course, volume.

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

AWS Big Data

FEBRUARY 6, 2023

Have an AWS account with permission on AWS Lambda , QuickSight (Enterprise edition), and AWS CloudFormation. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. He has a specialty in big data services and technologies and an interest in building customer business outcomes together.

Dashboards 73

Dashboards Optimization Data Lake Cost-Benefit 73

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Sisense

JUNE 12, 2019

Soon after, we announced the release of Sisense Hunch which provides the ability to transform even the most massive data sets into a deep neural net which can be placed anywhere, even on an IoT device. Everyone is adding “Data” to their title. From Data to Data-Powered Apps. Building a Better Tomorrow.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Octopai

MAY 30, 2019

The Benefits of Structured Data Catalogs. At the most basic level, data catalogs help you organize your company’s massive datasets. Most enterprises have huge data lakes with millions of touchpoints all living in the dark. Choosing a Data Catalog. Consider your data sources here ( on prem , cloud, etc.)

Metadata 40

Metadata Data Governance Data Lake IoT 40

Andrew White

OCTOBER 25, 2019

Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. Platform questions: Data Management platform 15. Full (all the other three combined) data AND analytics Platform 1. Director Enterprise Business Systems 1.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. A big data implementation may even replace a data warehouse entirely with a data lake.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. For many enterprises, Microsoft Azure has become a central hub for analytics. Microsoft.

Data Lake 110

Data Lake Analytics Data Warehouse Machine Learning 110

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 89

Data Collection IoT Data Lake Unstructured Data 89

Cloudera

JANUARY 30, 2023

And this doesn’t even touch on the data generated by citizen services interfaces, machine or device-generated data such as video feeds, sensors, and communications data. Some examples include employee records, internal and external communications, photo, video, and audio files, IoT sensor data, and streamed data.

IoT 80

IoT Data Architecture Data Lake Machine Learning 80

In(tegrate) the Clouds

DECEMBER 21, 2015

On its most recent earnings call, financial analysts noted that, “cloud is the epicenter of the growth story,” which represents the ultimate tipping point for enterprise cloud computing adoption. 2016 will be the year of the data lake. Read all of the answers. Who was the biggest tech disruptor in 2015?

Technology 45

Technology Internet of Things Digital Transformation Software 45

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. Storing data is extremely expensive even with VMs during this time. Google announces Cloud IoT. billion by 2025.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 80

Data-driven Data Lake Data Warehouse Cost-Benefit 80

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Lake 87

Data Lake IoT Data Governance Data Strategy 87

DataKitchen

JULY 27, 2023

It provides data prep, management, and enterprise data warehousing tools. It has a data pipeline tool , as well. Azure Logic Apps: This service helps you schedule, automate, and orchestrate tasks, business processes, and workflows when integrating apps, data, systems, and services across enterprises or organizations.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Enhanced Fan-out offers dedicated read throughput and low latency for each data consumer.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI. So, what happens to HDF in the new Cloudera? What should customers expect?

IoT 72

IoT Prescriptive Analytics Digital Transformation Internet of Things 72