CIO Business Intelligence

MAY 16, 2024

The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. Equipping the fleet with advanced IoT sensors and tracking devices will improve customer engagement time and reduce food waste, Parameswaran says.

IoT 89

IoT Internet of Things Digital Transformation Sales 89

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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. That has to be the most boring term in all of analytics. But seriously, reporting?

Reporting 115

Reporting Analytics IT Data Lake 115

CIO Business Intelligence

MAY 21, 2024

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time.

Broadcasting 106

Broadcasting Recreation/Entertainment Manufacturing Data Lake 106

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 92

Data Collection IoT Data Lake Unstructured Data 92

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

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

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 89

Data Lake IoT Data Governance Data Strategy 89

Cloudera

JANUARY 30, 2023

With these massive volumes of data, it’s common for agencies and enterprises to determine the data that is readily accessible and essential to mission success and prioritize for analytics. The purpose of this blog isn’t to emphasize the cyber risk of dark data but to spotlight its implications.

IoT 82

IoT Data Architecture Data Lake Machine Learning 82

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. options(**additional_options).mode("append").save(s3_output_folder)

Data Lake 83

Data Lake Data Analytics Analytics Data Processing 83

CIO Business Intelligence

MAY 23, 2022

Global Vice President and CIO Vagesh Dave says IT advancements in the cloud, analytics, and data management have transformed McDermott – and its industry – into an innovation engine. The company’s data lakes in the cloud, which, along with associated tools such as analytics and AI, is what has facilitated McDermott’s IT transformation.

Data Lake 104

Data Lake Data mining IoT Digital Transformation 104

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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 88

Data-driven Data Lake Data Warehouse Cost-Benefit 88

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 112

Optimization Snapshot Data Lake Metadata 112

CIO Business Intelligence

OCTOBER 25, 2022

Data & Analytics is delivering on its promise. Every day, it helps countless organizations do everything from measure their ESG impact to create new streams of revenue, and consequently, companies without strong data cultures or concrete plans to build one are feeling the pressure. So, they built a data-lake.

Data Strategy 143

Data Strategy Strategy Data Lake Data-driven 143

CIO Business Intelligence

DECEMBER 6, 2023

The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade.

Manufacturing 84

Manufacturing Data Lake Digital Transformation Machine Learning 84

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

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 Data Lake 105

CIO Business Intelligence

DECEMBER 1, 2022

The $247 billion conglomerate, one of the largest food and beverage companies in the world, is developing a modernized data and cloud infrastructure replete with automated processes and workflows. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation.

Digital Transformation 132

Digital Transformation IoT Data-driven KPI 132

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. The manufacturing industry is in an unenviable position.

Manufacturing 97

Manufacturing Contextual Data Knowledge Discovery Data Lake 97

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

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Finance 138

Finance IoT Digital Transformation Sales 138

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

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. In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services.

Forecasting 78

Forecasting Management IoT Data-driven 78

Sisense

JUNE 11, 2019

Does your data come in at high speeds and change rapidly? Those are all Big Data challenges that traditional analytics and BI platforms just can’t adequately handle. 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.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

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. The lack of universal industrial data has been one of the major obstacles slowing the adoption of AI among mainstream manufacturers.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

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

AWS Big Data

MAY 16, 2024

H3 indexing and related H3 spatial functions are now available for Amazon Redshift spatial analytics. For more information or to get started with Amazon Redshift spatial analytics, see the documentation for querying spatial data , spatial functions , and the spatial tutorial.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

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

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

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 79

Strategy Advertising IoT B2B 79

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. Next, let’s go back to the NHL use case where they combine IoT, data streaming, and machine learning.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Sisense

JUNE 12, 2019

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. From Data to Data-Powered Apps.

Analytics 75

Analytics Data-driven Dashboards IoT 75

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. As a result, NJ Transit’s data maturity as an organization has grown. IDC analyst Sandeep Mukunda says NJ Transit’s approach to data analytics has been very advanced.

Data Warehouse 115

Data Warehouse Predictive Analytics Data Lake IoT 115

Cloudera

AUGUST 9, 2022

Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation. Everyday, we see the Cloudera Data Platform (CDP) becoming that business-critical analytics platform that customers must have running in an available, reliable, and resilient way. Conclusion.

Data Lake 77

Data Lake Data Warehouse Data-driven IoT 77