IBM Big Data Hub

SEPTEMBER 12, 2023

Historical data and trends: Automated systems can efficiently store and analyze historical data, enabling trend analysis and pattern recognition. This information is vital for capacity planning and performance optimization.

Data-driven 67

Data-driven Cost-Benefit Predictive Analytics Machine Learning 67

Cloudera

OCTOBER 28, 2021

The German underwriters analyzed historical data such as weather, location, breed, type of crop, and a farmer’s experience to assess risk, underwrite and set price exposures. In this way, the Commercial Lines segment of insurance has really been a user of big data since its inception. Another example is fleet management.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

Cloudera

JUNE 18, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. If you want to learn more, join us on June 21 on our webinar with Ryan Blue, co-creator of Apache Iceberg and Anjali Norwood, Big Data Compute Lead at Netflix.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Here are three key areas where data adds value to the manufacturing process to give companies a competitive edge. How data enhances product development.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 75

Manufacturing Technology Internet of Things Cost-Benefit 75

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 60

OLAP Slice and Dice Cost-Benefit Data Warehouse 60

IBM Big Data Hub

AUGUST 11, 2023

MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing. By facilitating optimized production planning and scheduling, these systems ensure efficient resource allocation, workload balancing and on-time deliveries, leading to improved profitability.

Software 71

Software Manufacturing Cost-Benefit ROI 71

IBM Big Data Hub

DECEMBER 20, 2023

For instance, organizations can capitalize on a hybrid cloud environment to improve customer experience, comply with regulations, optimize costs, enhance data security and more. To create a successful cloud migration, organizations should create a workflow that includes comprehensive planning, execution and optimization.

Strategy 98

Strategy Cost-Benefit Digital Transformation Optimization 98

AWS Big Data

SEPTEMBER 29, 2023

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema. Choose Create.

Metadata 66

Metadata Visualization Data-driven Optimization 66

IBM Big Data Hub

APRIL 4, 2024

And while enterprise resource planning (ERP) integrates and manages all aspects of a business, BPM focuses on its individual functions—optimizing the organization’s existing, repeatable processes end-to-end. BPM uses workflow automation to automate repetitive tasks such as data entry, reconciliation and report generation.

Management 57

Management Cost-Benefit Metrics Consulting 57

IBM Big Data Hub

OCTOBER 20, 2023

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

IBM Big Data Hub

NOVEMBER 2, 2022

Meeting business goals with data insights. By building on our existing portfolio of business intelligence (BI) and planning analysis solutions, our clients are transcending manual and siloed analysis processes to optimize financial targets, sales goals, and operational capacity requirements.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

Data Warehouse 107

Data Warehouse Cost-Benefit Machine Learning Modeling 107

AWS Big Data

JUNE 19, 2023

We also walk you through how to use a series of prebuilt visualizations to view events across multiple AWS data sources provided by Security Lake. The documents are gathered and then sent to your OpenSearch Service domain, where index templates map the structure into a schema optimized for Security Lake logs in OCSF format.

Publishing 87

Publishing Dashboards Visualization Management 87

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Scott outlined how this change has driven a shift in the role of data teams , who now occupy strategic business positions.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

IBM Big Data Hub

JANUARY 9, 2024

Additionally, the retailer used IBM’s AI-driven summarization tools to efficiently analyze customer feedback and sales data, enabling swift and informed decision-making. The impact was significant: customer service efficiency improved, marketing strategies became more data-driven and inventory management was optimized.

Data-driven 104

Data-driven Risk Modeling Marketing 104