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 92

Data Science Data Lake Cost-Benefit Digital Transformation 92

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 95

Digital Transformation Machine Learning Data Lake Software 95

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 77

Manufacturing Contextual Data IoT Digital Transformation 77

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 86

Data Lake Unstructured Data Management Modeling 86

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

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 89

Digital Transformation Sales Forecasting Data Lake 89

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 Digital Transformation 105

Jedox

JANUARY 13, 2023

Increasing efficiency in an organization’s planning, budgeting, and forecasting processes is a key component of financial planning software, according to Gartner. 1 That means the solution should be able to handle extensive data sets, simultaneous users, and artificial intelligence (AI) functions to add meaningful business value.

Software 52

Software Finance Forecasting Data Lake 52

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

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 81

Data Warehouse Management Snapshot Data Lake 81

IBM Big Data Hub

SEPTEMBER 19, 2023

Those who work in the field of data science are known as data scientists. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

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

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. With this cluster design, we can get the hourly workload resource usage forecast.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

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 95

Digital Transformation Finance Machine Learning Forecasting 95

IBM Big Data Hub

MAY 19, 2023

TDC Digital struggled with operational costs due to the unpredictability of the billing system TDC Digital encountered difficulties in accurately forecasting their monthly bills due to hidden charges in the billing process.

Unstructured Data 78

Unstructured Data Data Processing Manufacturing Data Lake 78

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 87

IT Forecasting Data Lake Enterprise 87

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 132

Digital Transformation IoT Data-driven KPI 132

AWS Big Data

MARCH 29, 2024

His team focuses on building distributed systems to enable customers with interactive and simple to use interfaces to efficiently manage and transform petabytes of data seamlessly across data lakes on Amazon S3, databases and data-warehouses on cloud.

Metrics 101

Metrics Visualization Dashboards Interactive 101

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

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.

Metrics 80

Metrics Data Quality Data Lake Statistics 80

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.

Digital Transformation 88

Digital Transformation Internet of Things Data Lake Enterprise 88

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

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 78

Cost-Benefit Data Lake Data Warehouse Enterprise 78

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 115

Cost-Benefit Internet of Things Data-driven Data Lake 115

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Data quality rulesets We categorize some of the built-in AWS Glue Data Quality rule types to define the benchmark structure.

Data Quality 85

Data Quality Measurement Testing Visualization 85

CIO Business Intelligence

JANUARY 10, 2024

But while McMasters’ forecasts are now more accurate, he still likes to have a cushion: he gives himself a 10 to 20% margin when pre-booking capacity, he says. “Understand your licensing schemes and usage policies, which can be very complicated,” says McMasters. What exactly happens if you go over and what will they charge you?”

Cost-Benefit 118

Cost-Benefit Measurement Optimization Metrics 118

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 138

Risk Manufacturing Enterprise Technology 138

CIO Business Intelligence

FEBRUARY 19, 2024

Al tempo stesso, il meccanismo predittivo dell’IA produce un forecast che mette in luce lo scostamento da quanto previsto e facilita le azioni correttive per rimediare, tutto in tempo quasi reale”.

IT 97

IT KPI Data Lake Digital Transformation 97

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. AI and ML use decades of stock market data to forecast trends and suggest whether to buy or sell. Many stock market transactions use ML.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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

AWS Big Data

JUNE 20, 2023

It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Data labeling is required for various use cases, including forecasting, computer vision, natural language processing, and speech recognition.

Data Lake 70

Data Lake Data Science Recreation/Entertainment Experimentation 70

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 114

Data Lake Analytics Data Warehouse Machine Learning 114

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 142

Data Lake Forecasting B2B Optimization 142

DataKitchen

DECEMBER 9, 2022

Observability in DataOps refers to the ability to monitor and understand the performance and behavior of data-related systems and processes, and to use that information to improve the quality and speed of data-driven decision making.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Cloudera

NOVEMBER 12, 2020

For example, the bank from our example might have separate destination data lakes for their perpetual and periodic workloads to support addressing these VIP workloads separately. These are VIP users who perpetually need data center resources so they can perform mission-critical work for the organization on a routine basis.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

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 55

Data Warehouse Data Lake Unstructured Data Optimization 55