CIO Business Intelligence

APRIL 30, 2025

Were not just automating a handful of manual tasks and processes across a department or two, says Kellie Romack, CDIO at ServiceNow. Many organizations are in the process of moving AI hype into calculated action. Another area is democratizing data analysis and reporting.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

OCTOBER 30, 2024

Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. Traditional analytics tools often fall short when it comes to delivering a complete, real-time understanding of customer behavior. That’s where Gen AI comes in.

Analytics 128

Analytics Metrics Optimization Interactive 128

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

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 360

Big Data Data Science Publishing Data Processing 360

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 361

Machine Learning Data Science Publishing Analytics 361

Analytics Vidhya

SEPTEMBER 19, 2021

This article was published as a part of the Data Science Blogathon Introduction OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. using which real-time computer vision applications are developed.

Machine Learning 367

Machine Learning Data Science Publishing Analytics 367

O'Reilly on Data

MARCH 25, 2025

Lets be real: building LLM applications today feels like purgatory. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real. Two big things: They bring the messiness of the real world into your system through unstructured data.

Testing 168

Testing Data-driven Software Measurement 168

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

DECEMBER 10, 2024

The sheer number of options and configurations, not to mention the costs associated with these underlying technologies, is multiplying so quickly that its creating some very real challenges for businesses that have been investing heavily to incorporate AI-powered capabilities into their workflows.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

CIO Business Intelligence

DECEMBER 5, 2024

New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions. Mabrucco first explained that AI will put exponentially higher demands on networks to move large data sets. How does it work?

Finance 131

Finance Consulting Technology Data Processing 131

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Analytics Vidhya

AUGUST 7, 2024

Introduction Apache Airflow is a crucial component in data orchestration and is known for its capability to handle intricate workflows and automate data pipelines. Many organizations have chosen it due to its flexibility and strong scheduling capabilities.

Analytics 285

Analytics IT 285

CIO Business Intelligence

NOVEMBER 26, 2024

Data is the lifeblood of the modern insurance business. It is the central ingredient needed to drive underwriting processes, determine accurate pricing, manage claims, and drive customer engagement. The fact is, even the world’s most powerful large language models (LLMs) are only as good as the data foundations on which they are built.

Insurance 131

Insurance Data-driven Data Architecture Technology 131

O'Reilly on Data

OCTOBER 11, 2022

Is it a real trend, or just a collection of buzzwords? There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. We’ll see it in the processing of the thousands of documents businesses handle every day. Automating Office Processes. Automating this process is simple.

Data Integration 351

Data Integration Insurance Dashboards Data-driven 351

AWS Big Data

NOVEMBER 11, 2024

In this post, we show how to use Amazon Kinesis Data Streams to buffer and aggregate real-time streaming data for delivery into Amazon OpenSearch Service domains and collections using Amazon OpenSearch Ingestion. This decoupling provides advantages over traditional architectures.

Metadata 122

Metadata Metrics Analytics Data Processing 122

CIO Business Intelligence

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

AWS Big Data

DECEMBER 23, 2024

Real-time data streaming and event processing are critical components of modern distributed systems architectures. Apache Kafka has emerged as a leading platform for building real-time data pipelines and enabling asynchronous communication between microservices and applications.

Data-driven 97

Data-driven Management Risk Big Data 97

Analytics Vidhya

FEBRUARY 28, 2024

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis.

Data Science 291

Data Science Analytics IT Unstructured Data 291

CIO Business Intelligence

JANUARY 15, 2025

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1] The foundation of the solution is also important.

Cost-Benefit 124

Cost-Benefit Data-driven Enterprise Risk 124

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. AI products are automated systems that collect and learn from data to make user-facing decisions. Why AI software development is different.

Management 363

Management Machine Learning Experimentation Metrics 363

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What does a modern technology stack for streamlined ML processes look like? Why: Data Makes It Different. All ML projects are software projects.

IT 364

IT Testing Experimentation Software 364

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 289

Publishing Data Processing Analytics IT 289

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 268

Data-driven Visualization Optimization Modeling 268

CIO Business Intelligence

APRIL 24, 2025

Enterprises worldwide are harboring massive amounts of data. Although data has always accumulated naturally, the result of ever-growing consumer and business activity, data growth is expanding exponentially, opening opportunities for organizations to monetize unprecedented amounts of information.

Data-driven 134

Data-driven Marketing Risk Sales 134

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 262

Analytics Business Intelligence Optimization IT 262

CIO Business Intelligence

FEBRUARY 21, 2025

At the end of 2023, Chicago-based Article Student Living was acquired by a global real estate investment company, which allowed the business to expand, and enabled it to make key investments in the high-demand student housing market. Unite caningestdata from myriad sources in real-time to quickly make the best decisions.

Data-driven 116

Data-driven Measurement Reporting Technology 116

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational? Re-analyzing existing data is often very bad.”

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. It appears that it’s AI everywhere all the time.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

NOVEMBER 1, 2024

In the past, creating a new AI model required data scientists to custom-build systems from a frustrating parade of moving parts, but Z by HP has made it easy with tools like Data Science Stack Manager and AI Studio. In some cases, the data ingestion comes from cameras or recording devices connected to the model.

Recreation/Entertainment 119

Recreation/Entertainment Machine Learning Modeling Data Science 119