CIO Business Intelligence

AUGUST 3, 2022

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

Finance 145

Finance IoT Digital Transformation Sales 145

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

JUNE 29, 2022

Taking the broadest possible interpretation of data analytics , Azure offers more than a dozen services — and that’s before you include Power BI, with its AI-powered analysis and new datamart option , or governance-oriented approaches such as Microsoft Purview. Azure Data Factory. Azure Data Lake Analytics.

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 126

Data Transformation Machine Learning Data Lake Dashboards 126

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

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

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

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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

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 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

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 Visualization 106

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.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

Cloudera

AUGUST 18, 2021

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. That way, the data can continue generating actionable insights. .

Data Lake 88

Data Lake Internet of Things IoT Data-driven 88

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

CIO Business Intelligence

DECEMBER 6, 2023

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. Here, Dickson sees data generated from its industrial machines being very productive.

Manufacturing 97

Manufacturing Data Lake Machine Learning Digital Transformation 97

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

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

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 83

Forecasting Management IoT Data-driven 83

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. Or we create a data lake, which quickly degenerates to a data swamp. Generative AI can create foundation models for assets. Foundation models are very handy if failure data is scarce.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

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. The events require data transformation, cleansing, and preprocessing to extract insights, generate reports, or build ML models. example.com:9092,broker-2.example.com:9092'

IoT 106

IoT Data Warehouse Cost-Benefit Reporting 106

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 78

Analytics Data Warehouse Data Lake Metadata 78

erwin

DECEMBER 13, 2018

Data operations (DataOps) gains traction/will be fully optimized: Much like how DevOps has taken hold over the past decade, 2019 will see a similar push for DataOps. Data is no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IOT, ML, etc.),

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

CIO Business Intelligence

JULY 1, 2024

Già oggi, con l’avvento dell’Internet of Things (IoT), molte applicazioni che precedentemente erano ospitate sul cloud si stanno spostando verso l’edge, dove i dati vengono elaborati e gestiti localmente dai server vicino alla fonte del dato stesso. Ma non lo sostituirà, perché i due paradigmi hanno due posizionamenti diversi”.

IoT 102

IoT Software Machine Learning Data Lake 102

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

CIO Business Intelligence

APRIL 6, 2022

The race to embrace digital technologies to compete and stay relevant in emerging business models is compelling organizations to shift focus. This model helps iterate rapid innovation, failing fast and learning from those failures by sourcing direct feedback from end users.

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103

Cloudera

SEPTEMBER 23, 2020

Rich user groups are provided in the security model which supports grouping by functional departments or other organizations. . The security model allows to create tenant admins which have restricted access compared to the global admins for the system. Data Catalog . Sensitive data identification. Activity monitoring.

Data Lake 84

Data Lake Metadata IoT Enterprise 84

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data. says Cretella.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

Cloudera

AUGUST 9, 2022

It’s essential to understand the difference between terms like Recovery Point Objective (RPO) and Recovery Time Objective (RTO), or the functional impact of point-in-time recovery (Tier 4) and two-site commit transaction integrity (Tier 5) in the Seven Tiers of Disaster Recovery model. . Conclusion.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Strategy 80

Strategy Advertising IoT B2B 80

Cloudera

JANUARY 30, 2024

The universal industrial data challenge Data — as the foundation of trusted AI — can lead the way to transform business processes and help manufacturers innovate, define new business models, and establish new revenue streams. Eliminate data silos.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

AWS Big Data

MAY 16, 2024

H3 can also help create location-based profiling features for predictive machine learning (ML) models such as risk-mitigation models. About Amazon Redshift Thousands of customers rely on Amazon Redshift to analyze data from terabytes to petabytes and run complex analytical queries.

Data Warehouse 118

Data Warehouse Visualization Cost-Benefit Data-driven 118

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. It also deals with the volumes of training data, model ensemble performance, and dependencies on the external libraries and toolkits.

Analytics 75

Analytics Data-driven Dashboards IoT 75

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 lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

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 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

FEBRUARY 21, 2023

Data warehouses are mostly built using the dimensional model approach, which has consistently met business needs. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues. What is a dimensional data model?

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70

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. Amazon Kinesis Data Streams is a foundational data strategy pillar for tens of thousands of customers.

IoT 59

IoT Data-driven Data Lake Data Strategy 59