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 103

IT Data Lake Strategy IoT 103

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 143

Data Strategy Strategy Data Lake Data-driven 143

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

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 108

Optimization Snapshot Data Lake Metadata 108

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 Digital Transformation 80

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 70

Analytics Data Warehouse Data Lake Metadata 70

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 85

Manufacturing Data Lake Digital Transformation Machine Learning 85

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

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

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

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 115

Reporting Analytics IT Data Lake 115

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 88

Data Lake IoT Internet of Things Data-driven 88

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 169

Internet of Things IoT Analytics Optimization 169

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

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 133

Digital Transformation IoT Data-driven KPI 133

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 75

Forecasting Management IoT Data-driven 75

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

Data Virtualization

MAY 21, 2019

The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the.

Data Warehouse 45

Data Warehouse Data Lake IoT Data Governance 45

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Azure Arc allows deployment and management of Azure services to any environment which can run Kubernetes.

Data Science 106

Data Science Machine Learning Data Lake IoT 106

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

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. But those are broad plans that involve several transportation agencies and multimillion-dollar capital expenditures. Lookman Fazal, chief information and digital officer, NJ Transit.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Cloudera

SEPTEMBER 23, 2020

Data Catalog helps you understand data across multiple clusters and across multiple environments (on-premises, cloud, and IOT). Activity monitoring is supported through a combination of audit data aggregation and summarization in Data Catalog. It can aggregate and summarize access patterns from multiple data lakes.

Data Lake 83

Data Lake Metadata IoT Enterprise 83

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. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JULY 12, 2023

A massive amount of data is already collected from sensors across all processes and from all supply chain partners. We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster. That information is now stored in a way that makes it useable to different tools. “We

Manufacturing 97

Manufacturing Cost-Benefit Data Lake Optimization 97

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

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 Optimization 52

Sanjeev Mohan

JANUARY 15, 2018

Somehow the data deluge barely leaves enough oxygen for a social media dopamine fix! Look forward to blogs spanning big data technologies, advanced analytics, data governance, IoT and blockchain. There is a renewed emphasis on data lakes and reversing the trends that caused them to turn into swamps.

Data Lake 45

Data Lake IoT Big Data Interactive 45

In(tegrate) the Clouds

DECEMBER 28, 2015

Gaurav Dhillon , the co-founder and CEO of SnapLogic , who also co-founded Informatica in the early ’90’s and was CEO of that company for 12 years, posted 4 data predictions and 1 market prediction this week on LinkedIn and the SnapLogic blog. Rising Data Lakes will Drown the Warehouse.

Data Lake 45

Data Lake IoT Digital Transformation Strategy 45

CIO Business Intelligence

APRIL 6, 2022

We are centered around co-creating with customers and promoting a systematic and scalable innovation approach to solve real-world customers problems—similar to Toyota leveraging Infosys Cobalt to modernize its vehicle data warehouse into a next-generation data lake on AWS. .

Experimentation 88

Experimentation Data Lake Uncertainty Enterprise 88

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

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 101

Internet of Things Data Lake Uncertainty IoT 101

Cloudera

MAY 15, 2019

Barbara Eckman from Comcast is another keynote speaker, and is also presenting a breakout session about Comcast’s streaming data platform. The platform comprises ingest, transformation, and storage services in the public cloud, and on-prem RDBMS’s, EDW’s, and a large, ungoverned legacy data lake. American Water.

Enterprise 49

Enterprise Data Lake Data mining IoT 49

CIO Business Intelligence

FEBRUARY 12, 2024

La trasformazione digitale implica il passaggio graduale alla nuova data platform per raccogliere e aggregare i dati dal data lake (con sistemi BIM, Business Information Modelling) e poi metterli su cruscotti e condurre le analisi con la business intelligence.

Digital Transformation 91

Digital Transformation Management Business Intelligence Internet of Things 91

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

Digital Transformation 69

Digital Transformation Machine Learning Optimization Data Lake 69