Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Amazon Kinesis is one of the best-managed services that scale particularly flexibly, especially for processing real-time data at a massive site. This Amazon […].

Data Science 367

Data Science Publishing Management Analytics 367

Analytics Vidhya

OCTOBER 4, 2022

This article was published as a part of the Data Science Blogathon. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are […].

Machine Learning 348

Machine Learning Data Science Publishing IT 348

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases. It is ideal for real-time data processing or […].

Big Data 340

Big Data Data Science Publishing Data Processing 340

Analytics Vidhya

APRIL 28, 2023

It is a famous Scala-coded data processing tool that offers low latency, extensive throughput, and a unified platform to handle the data in real-time. Introduction Apache Kafka is an open-source publish-subscribe messaging application initially developed by LinkedIn in early 2011.

Publishing 270

Publishing Data Processing Analytics IT 270

David Menninger's Analyst Perspectives

DECEMBER 7, 2022

Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions.

Analytics 259

Analytics Business Intelligence Optimization IT 259

David Menninger's Analyst Perspectives

OCTOBER 14, 2022

As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files.

Data-driven 263

Data-driven Visualization Optimization Modeling 263

CIO Business Intelligence

APRIL 16, 2024

Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc.

Manufacturing 141

Manufacturing Digital Transformation Risk Dashboards 141

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This process is critical as it ensures data quality from the onset. Will I Create A Failed Deploy?

Testing 100

Testing Cost-Benefit Data Quality Dashboards 100

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. In applications where real-time responsiveness is critical, minimizing latency is paramount.

Forecasting 98

Forecasting Optimization Advertising IoT 98

CIO Business Intelligence

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Digital Transformation 91

Digital Transformation Enterprise Data-driven Software 91

IBM Big Data Hub

MAY 10, 2024

It is primarily used for tasks like speech recognition, image processing and complex decision-making, where it can “read” and process a large amount of data to perform complex computations efficiently. GPUs can rapidly process large datasets and greatly decrease time spent training machine learning models.

Deep Learning 96

Deep Learning Cost-Benefit Manufacturing Optimization 96

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 108

Analytics IoT Data-driven Snapshot 108

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Refer to Real-time analytics with Amazon Redshift streaming ingestion for information about configuring streaming ingestion. version cluster.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 138

Machine Learning Cost-Benefit Data-driven Strategy 138

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. Batch processing is not the best fit in this scenario.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

CIO Business Intelligence

OCTOBER 20, 2023

But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

Data Integration 128

Data Integration Management Testing Software 128

IBM Big Data Hub

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming.

Data-driven 84

Data-driven Cost-Benefit Uncertainty Technology 84

CIO Business Intelligence

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Digital Transformation 62

Digital Transformation Enterprise Data-driven Software 62

IBM Big Data Hub

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Unstructured Data 90

Unstructured Data Data-driven ROI Machine Learning 90

IBM Big Data Hub

SEPTEMBER 29, 2023

.” [1] Real-time intelligence helps improve responsiveness To accelerate the speed of business, organizations should acquire the ability to access, interpret and act on real-time information about unique situations arising across the entire organization.

Data-driven 107

Data-driven Uncertainty Cost-Benefit Marketing 107

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 93

Data Architecture Data Governance Big Data Marketing 93

Smart Data Collective

SEPTEMBER 20, 2023

This synergy between IoT and cloud platforms is transforming industries, innovating solutions, and simplifying processes. Endless Scalability: Cloud’s Biggest Offering To IoT IoT devices produce an enormous amount of data every second. Processing, storing, and analyzing this data is a monumental task.

IoT 121

IoT Internet of Things Cost-Benefit Manufacturing 121

CIO Business Intelligence

FEBRUARY 27, 2024

Cloud exit’ became a big theme in 2023 and there’s good odds it’ll turn into a real trend for 2024. For CIOs who need real-time access to data, such as for manufacturing or industrial controls, loading data on the edge is a better solution than the public cloud.

Strategy 144

Strategy Cost-Benefit Data Processing Data-driven 144

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 137

Manufacturing Cost-Benefit Unstructured Data Optimization 137

CIO Business Intelligence

MAY 8, 2024

Alex Gay, Senior Director of Product Marketing, Adobe Document Cloud Most business today can be described as MORE—more technology, more meetings, more projects, more data, and more documents. Most of the data in those documents ( 80-90% ) is unstructured, making it especially difficult to analyze and action.

Enterprise 105

Enterprise Sales Finance Reporting 105

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 114

Data Strategy Strategy Machine Learning Data-driven 114

IBM Big Data Hub

MARCH 27, 2024

EclipseStore, a groundbreaking data storage platform from MicroStream , is revolutionizing the development of cutting-edge software applications. Exciting new innovations such as advanced robotics, real-world gaming, neuronal interface technology and AI require three fundamental elements: High-performance solutions.

Cost-Benefit 101

Cost-Benefit Data Processing Optimization Modeling 101

CIO Business Intelligence

MAY 14, 2024

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. In many cases, additional documents are involved in the process, such as toxicology reports. Step by step The new process involves three steps.

Deep Learning 69

Deep Learning Machine Learning Reporting Experimentation 69

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Customers have too many options.

Cost-Benefit 116

Cost-Benefit Internet of Things Data-driven Data Lake 116

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

CIO Business Intelligence

DECEMBER 19, 2023

Though traveling by public transportation is generally considered to be safer— 10 times safer per mile when compared to traveling by personal vehicle—public safety remains a priority for passengers. Real time response systems Inaccurate or incomplete information can slow down and hinder public safety efforts.

Technology 119

Technology Internet of Things Risk Reporting 119