CIO Business Intelligence

MARCH 2, 2023

Plus, Adani Electricity this year is continuing with advancements in the areas of distribution management, customer experience, the metering ecosystem, and consumer data analytics, says Tandon. We’ve implemented SAS’ AI/ML-based energy forecasting solution to improve our forecasting performance,” he says. million consumers.

Data Lake 143

Data Lake Forecasting B2B Optimization 143

AWS Big Data

APRIL 26, 2023

The main requirement is to have an automated, transparent, and long-term semiconductor demand forecast. Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group.

Forecasting 131

Forecasting Manufacturing Data Lake Big Data 131

CIO Business Intelligence

JULY 29, 2024

They also built an Azure-based data lake to provide global visibility of the company’s data to its 13,000-strong workforce. Digital transformation projects have always been about creating a data-driven business. Previously, each Mosaic location operated its own digital infrastructure.

Digital Transformation 118

Digital Transformation IT Data Lake Sales 118

DataKitchen

AUGUST 27, 2021

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

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 126

Data Transformation Machine Learning Data Lake Dashboards 126

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Smart Data Collective

DECEMBER 13, 2022

There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Data lakes hold raw data that has not yet been altered to meet a specific purpose.

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. Reem Alaya Lebhar. Martin Hammer.

Data Science 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

CIO Business Intelligence

MAY 12, 2022

Companies that need forecasting can produce forward-looking reports that depend on any mixture of statistics and machine learning algorithms, something SAS calls “composite AI.” The product line is broken into tools for basic exploration such as Visual Data Mining or Visual Forecasting.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

JULY 31, 2024

These models allow us to predict failures early, and we forecast a 20% reduction in furnace unplanned events, improving repair times by at least two days. We’ve also leveraged AI in the supply chain to revolutionize our demand forecasting and supply network planning. So AI helps us have fewer emergencies.

Manufacturing 122

Manufacturing Cost-Benefit Digital Transformation Forecasting 122

CIO Business Intelligence

DECEMBER 1, 2022

PepsiCo’s migration to the cloud has paid off in in many ways, Kanioura says — in speed, flexibility, and agility, reducing on-demand forecasting from weeks to days or hours, and in feeding its supply chain more accurately and frequently. “We

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. New data scientists can then be onboarded more easily and efficiently. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

MARCH 10, 2023

Ventura points to examples like ingredient traceability and using machine learning (ML) to automate forecasting, which in turn helps the company minimize waste. Co-creation key to AI success Beyond the consumer relationship, analytics and AI are also key to making CPG companies more sustainable.

Forecasting 105

Forecasting Machine Learning Data Lake Digital Transformation 105

AWS Big Data

MARCH 21, 2024

You want real-time access to this data so you can monitor performance in real time, and detect and mitigate issues quickly. You also need longer-term access to this data for machine learning (ML) models to run predictive maintenance assessments, find optimization opportunities, and forecast demand.

Data Lake 112

Data Lake Management Modeling Optimization 112

IBM Big Data Hub

OCTOBER 4, 2023

With an open data lakehouse architecture approach, your teams can maximize value from their data to successfully adopt AI and enable better, faster insights. Why does AI need an open data lakehouse architecture? from 2022 to 2026.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

Jedox

DECEMBER 28, 2021

In other words, the Office of Finance will increase its collaboration with rest of the enterprise through new tools and more efficient processes that allow for better cross-departmental data management. According to a late 2021 report from PWC, 86% of those surveyed claimed AI is now viewed as a “mainstream” technology.

Digital Transformation 97

Digital Transformation Finance Machine Learning Forecasting 97

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 117

Data Lake Visualization Optimization Interactive 117

CIO Business Intelligence

APRIL 9, 2024

Melby pushed machine learning models into production very early at Dairyland, improving the cooperative’s weather forecasting capabilities and creating load management applications that “bent the curve” to best manage the company’s power load on peak days, the CIO says.

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. In Cost Explorer, you can visualize daily, monthly, and forecasted spend by combining an array of available filters. The following screenshot shows the preconfigured reports in Cost Explorer.

Data Warehouse 93

Data Warehouse Management Snapshot Data Lake 93

Sisense

JANUARY 8, 2021

How could Yik Yak have used data and analytics to avert disaster? Luma Health showed how message data can be analyzed for mood and meaning by using AI/ML methods on a data lake of chat messages. Forecasting and modeling business costs.

Cost-Benefit 98

Cost-Benefit Forecasting Data Lake Data-driven 98

CIO Business Intelligence

SEPTEMBER 6, 2022

One of the early projects on which he was able to add value through a partnership between his data hub and one of the business unit spokes was in building a new demand forecasting tool. Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there.

IT 98

IT Forecasting Data Lake Data Warehouse 98

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 106

Data Lake Unstructured Data Management Snapshot 106

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

Jedox

JANUARY 19, 2023

A great real-life example of this is Fiat , which initially used legacy reporting and Excel for its quarterly forecasts. Sixty users at Fiat from different departments can now access high-quality data in one place. With Jedox, the carmaker went from what we call “Excel hell” to unified planning and reporting.

IT 86

IT Forecasting Data Lake Marketing 86

Jet Global

JANUARY 15, 2021

As Microsoft focuses its reporting strategy around Power BI and Azure Data Lake services, Dynamics partners should carefully consider the implications of starting down the path that Microsoft is recommending. We work with you to deliver high levels of customer satisfaction.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

CIO Business Intelligence

FEBRUARY 28, 2023

IDC forecasts global cloud spending to exceed US$1.3 Giving businesses a head start in the AI space is the cloud-native database GaussDB, which offers high-performance, high-availability, and secure real-time data lake capability to maximise enterprises’ data value.

Internet of Things 98

Internet of Things Digital Transformation Data Lake Enterprise 98

Cloudera

JANUARY 30, 2024

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. Add appropriate contextual data (IT/business data), which is critical in AI analysis of manufacturing data.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

CIO Business Intelligence

DECEMBER 21, 2022

Jim Hare, distinguished VP and analyst at Gartner, says that some people think they need to take all the data siloed in systems in various business units and dump it into a data lake. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

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

CIO Business Intelligence

MARCH 14, 2024

A strengthening role in IT “Real-time analytics, forecasting, and alerting capabilities enable us to intervene when problems arise and prevent disruptions,” says Deligia. At the same time, the AI’s predictive mechanism generates a forecast that highlights the deviation between what was predicted and facilitating the action to correct it.”

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

Cloudera

DECEMBER 1, 2022

For example, historically the process of acquiring data from the source systems to populate the data lake was plagued by schema drift. As the schema of the source data changed, it caused the traditional extract, transform, and load (ETL) processes to fail.

Data Quality 84

Data Quality Metrics Data Lake Statistics 84

CIO Business Intelligence

OCTOBER 18, 2023

According to C3, sugar producer Pantaleon is using C3 Gen AI to supplement sales forecasting, while Georgia-Pacific is using it for manufacturing process knowledge. Lastly, we tapped into our data lake to enrich and tailor specific customer emails to drive the conviction of our products and ultimately increased sales.

Risk 141

Risk Manufacturing Enterprise Technology 141