CIO Business Intelligence

NOVEMBER 11, 2024

For example, for its railway equipment business, Escorts Kubota produces IoT-based devices such as brakes and couplers. How can we make those products smarter by generating a lot of data? This initiative currently uses static data, but Kakkar has bolder ambitions for its agronomic advisory.

IoT 78

IoT Experimentation Dashboards Data Lake 78

Cloudera

JUNE 9, 2022

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

CIO Business Intelligence

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery.

IoT 104

IoT Internet of Things Digital Transformation Sales 104

CIO Business Intelligence

JUNE 29, 2022

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

AUGUST 9, 2024

The original proof of concept was to have one data repository ingesting data from 11 sources, including flat files and data stored via APIs on premises and in the cloud, Pruitt says. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

Data Transformation 110

Data Transformation Machine Learning Data Lake Dashboards 110

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality.

IoT 119

IoT Analytics Internet of Things Data Lake 119

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Statistics 82

Statistics Data Warehouse Metadata Data Lake 82

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 90

Data Lake IoT Data Governance Data Strategy 90

AWS Big Data

JULY 17, 2024

Of the prerequisites that follow, the IOT topic rule and the Amazon Managed Streaming for Apache Kafka ( Amazon MSK ) cluster can be set up by following How to integrate AWS IoT Core with Amazon MSK. OpenSearch Ingestion provides a fully managed serverless integration to tap into these data streams.

Analytics 98

Analytics IoT Dashboards Data Lake 98

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. In this example, we use Amazon MSK as the streaming source for IoT telemetry data. The materialized view will automatically refresh as new data arrives in the Kafka topic.

IoT 101

IoT Data Warehouse Cost-Benefit Reporting 101

Cloudera

JANUARY 30, 2023

Gartner defines dark data as “The information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing).”

IoT 83

IoT Data Architecture Data Lake Machine Learning 83

CIO Business Intelligence

OCTOBER 25, 2022

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. So, they built a data-lake. The data lake, too, took on new purpose.

Data Strategy 145

Data Strategy Strategy Data Lake Data-driven 145

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 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

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 105

Data Lake Data mining IoT Digital Transformation 105

CIO Business Intelligence

MAY 21, 2024

Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft. You can monitor and act on the data and you can set thresholds.”

Broadcasting 125

Broadcasting Recreation/Entertainment Manufacturing Data Lake 125

CIO Business Intelligence

NOVEMBER 29, 2023

At the same time, Gerresheimer is building an IoT platform. “In In the future, we’ll connect all production and application servers to this and build our own data lake,” he says, adding that the next step will be to use AI there to learn from their own data.

IT 105

IT Data Lake Strategy IoT 105

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 117

Optimization Snapshot Data Lake Metadata 117

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. But seriously, reporting?

Reporting 134

Reporting Analytics IT Data Lake 134

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Internet of Things 208

Internet of Things IoT Analytics Optimization 208

CIO Business Intelligence

SEPTEMBER 16, 2024

Inoltre, il software si lega all’uso di dispositivi IoT e AI per raccogliere e analizzare i dati nei data lake per fare monitoraggio, efficientamento e forecasting.

IoT 111

IoT Software Data Lake Forecasting 111

AWS Big Data

JUNE 29, 2023

In our solution, we create a notebook to access automotive sensor data, enrich the data, and send the enriched output from the Kinesis Data Analytics Studio notebook to an Amazon Kinesis Data Firehose delivery stream for delivery to an Amazon Simple Storage Service (Amazon S3) data lake. Choose Next.

Data Analytics 78

Data Analytics Analytics IoT Data Lake 78

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 Machine Learning 105

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

CIO Business Intelligence

DECEMBER 6, 2023

We collect lots of sensor data on machine performance, vibration data, temperature data, chemical data, and we like to have performative combinations of those datasets,” Dickson says.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

Sisense

JUNE 11, 2019

If this sounds intense, that’s because companies of all shapes and sizes who don’t reckon with the trends changing the data world will be in trouble. Trends Changing Big Data. First off, IoT, the Internet of Things. The IoT is everywhere and there are more pieces of technology connected to it every day. are all things.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

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

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. We expect within the next three years, the majority of our applications will be moved to the cloud.”

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

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 117

Analytics IoT Data-driven Snapshot 117

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 145

Manufacturing Digital Transformation IoT Internet of Things 145

Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Manufacturers now have unprecedented capacity to collect, utilize, and manage massive amounts of data. Eliminate data silos.

Manufacturing 80

Manufacturing Contextual Data IoT Internet of Things 80

CIO Business Intelligence

FEBRUARY 28, 2024

It also requires a rethink of your business strategy to embrace advances in cloud computing, analytics, AI, IoT and automation. Or, you may have begun migrating to the cloud but now need edge computing and IoT to streamline your operations, or you may want to use AI to supercharge your business analytics.

Digital Transformation 52

Digital Transformation IoT Cost-Benefit Data Lake 52

CIO Business Intelligence

APRIL 18, 2023

2] AIOps can help identify areas for optimization using existing hardware by combing through a tsunami of data faster than any human ever could. Start using APs as an IoT gateway. Zigbee, or USB ports, IT can securely onboard IoT devices and streamline management. Adopt AI to better leverage existing hardware investments.

IoT 52

IoT Internet of Things Data Lake Optimization 52

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. Before I pick top tools later in this post, here’s what you should be knowing.

Data Warehouse 132

Data Warehouse Data Lake Visualization Big Data 132

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data fabric and data mesh as concepts have overlaps.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52