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

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. What is the most exciting part for him? “To

IoT 104

IoT Internet of Things Digital Transformation Sales 104

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. How do I train my employees in all the new technologies coming?” Vagesh Dave.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

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. Gartner analyst Sid Nag says PepsiCo has adopted many of the technologies that are driving the next phase of enterprise digital transformation.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

IoT 56

IoT Internet of Things Big Data Data-driven 56

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 116

Data Transformation Machine Learning Data Lake Dashboards 116

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 98

Data-driven Data Lake Data Warehouse IT 98

AWS Big Data

JULY 17, 2024

As environmental concerns and the push for greener technologies have gained momentum, the adoption of EVs has surged, promising to reshape our mobility landscape. The surge in EVs brings with it a profound need for data acquisition and analysis to optimize their performance, reliability, and efficiency.

Analytics 115

Analytics IoT Dashboards Data Lake 115

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 96

Data Lake IoT Data Governance Data Strategy 96

Sisense

JUNE 11, 2019

Big Data isn’t just something that happens to other people or giant companies like Google and Amazon. our annual client conference, I presented on the evolution of Big Data technologies including the different approaches that support the complex and vast amount of data organizations are now dealing with. are all things.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

CIO Business Intelligence

DECEMBER 20, 2024

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

Data Architecture 98

Data Architecture Management Consulting Internet of Things 98

Cloudera

AUGUST 18, 2021

The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies. 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.

Data Lake 92

Data Lake IoT Internet of Things Data-driven 92

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 94

Analytics Data Warehouse Data Lake Metadata 94

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

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. Such messaging has its challenges.

IoT 110

IoT Experimentation Dashboards Data Lake 110

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. The portfolio and tasks also play a role, says Nalbant.

IT 105

IT Data Lake Strategy IoT 105

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics Studio uses Apache Zeppelin as the notebook, and uses Apache Flink as the stream processing engine. Kinesis Data Analytics Studio notebooks seamlessly combine these technologies to make advanced analytics on data streams accessible to developers of all skill sets. Choose Next. Choose Create stack.

Data Analytics 101

Data Analytics Analytics IoT Data Lake 101

CIO Business Intelligence

DECEMBER 6, 2023

Much of our digital agenda is around data. Before we were quite fragmented across different technologies. 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. As for No.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

CIO Business Intelligence

OCTOBER 30, 2024

We’ve rolled out the foundational version of digital manufacturing to all the plants, which is a single platform data lake with contextualization. All the equipment at the plants, including the P&IDs and drawings, are contextualized in this data lake. What approach are you taking to ensure ROI on these investments?

Digital Transformation 118

Digital Transformation Manufacturing IT Data Lake 118

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. However, analyzing large volumes of data can be a time-consuming and resource-intensive task. This is where Athena come in.

Forecasting 97

Forecasting Management IoT Data-driven 97

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. Quality: Use cases like visual inspection, yield optimization, fault detection, and classification are enhanced with AI technologies. Eliminate data silos.

Manufacturing 86

Manufacturing Contextual Data IoT Internet of Things 86

CIO Business Intelligence

APRIL 6, 2022

Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. The race to embrace digital technologies to compete and stay relevant in emerging business models is compelling organizations to shift focus.

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 75

IoT Prescriptive Analytics Internet of Things Digital Transformation 75

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. We want to see how they have been able to understand the value of data and the immediacy of its insights.

Internet of Things 108

Internet of Things Uncertainty Data Lake IoT 108

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 105

Statistics Data Warehouse Metadata Data Lake 105

IBM Big Data Hub

APRIL 15, 2024

Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. Technology and disruption are not new to manufacturers, but the primary problem is that what works well in theory often fails in practice. The manufacturing industry is in an unenviable position.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance.

Data Lake 52

Data Lake IoT Metadata Testing 52

CIO Business Intelligence

JULY 17, 2023

While several factors have contributed to its success, it is apparent that without a secure technological backbone, this business would not reach the magnitude that it has. I’ve witnessed technology evolve from primitive PCs like the Microsoft DOS to current advancements alongside my own growth.

IT 98

IT Digital Transformation IoT Internet of Things 98

Corinium

APRIL 25, 2019

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). In data-driven organizations, data is flowing. This stuff works.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

In(tegrate) the Clouds

DECEMBER 21, 2015

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. I can’t help it. Merv Adrian (@merv) December 19, 2015. platform.twitter.com/widgets.js.

Technology 45

Technology Internet of Things Digital Transformation Software 45

CIO Business Intelligence

JULY 12, 2023

AI improves diaper manufacturing “All areas of P&G’s business are being impacted by emerging technologies like automation, AI, and machine learning,” says Vittorio Cretella, CIO of Procter & Gamble. A massive amount of data is already collected from sensors across all processes and from all supply chain partners.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

CIO Business Intelligence

MAY 12, 2022

Greg Sly, Verizon’s senior vice president of infrastructure and platform services, oversees storage, compute, and networks related to data centers that serve Verizon, along with a set of CIO-level responsibilities, including supporting all the technology used by the company’s employees to run its corporate offices and retail operations.

Testing 98

Testing Advertising Data Lake Marketing 98

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. That’s excellent.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . Crucially, the data mesh links the fabric and the lakehouse to the highest levels of the business, to LOB leaders, and enables the deployment of data as a strategic asset rather than a mere cost. .

Data Architecture 89

Data Architecture Cost-Benefit Digital Transformation Business Driver 89