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

CIO Business Intelligence

OCTOBER 24, 2024

in 2025, one of the largest percentage increases in this century, and it’s only partially driven by AI. growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. Data center spending will increase again by 15.5% trillion, builds on its prediction of an 8.2%

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

Smart Data Collective

SEPTEMBER 5, 2021

The advances in AI—particularly machine learning (ML)—have made SMS marketing more attractive and accountable as an advertising technique. What’s machine learning? Machine learning is a computer program’s ability to extract information, analyze big data, and learn from it.

Machine Learning 140

Machine Learning Marketing Advertising Statistics 140

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

Also center stage were Infor’s advances in artificial intelligence and process mining as well as its environmental, social and governance application and supply chain optimization enhancements. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

Smart Data Collective

NOVEMBER 9, 2022

There are a number of great applications of machine learning. One of the biggest benefits is testing processes for optimal effectiveness. The main purpose of machine learning is to partially or completely replace manual testing. Machine learning is used in many industries. Top ML Companies.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). 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

CIO Business Intelligence

DECEMBER 30, 2024

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

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

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Science 304

AWS Big Data

OCTOBER 17, 2024

Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service. Learn how generative AI models can enhance your search solutions.

Analytics 115

Analytics Optimization Data-driven Data Architecture 115

Smart Data Collective

AUGUST 31, 2021

Big data has led to some remarkable changes in the field of marketing. Many marketers have used AI and data analytics to make more informed insights into a variety of campaigns. Data analytics tools have been especially useful with PPC marketing , media buying and other forms of paid traffic. Get the most out of your content.

Data-driven 144

Data-driven Marketing Big Data Advertising 144

CIO Business Intelligence

OCTOBER 30, 2024

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data.

Analytics 128

Analytics Metrics Optimization Interactive 128

O'Reilly on Data

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Two big things: They bring the messiness of the real world into your system through unstructured data.

Testing 174

Testing Data-driven Software Measurement 174

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

Smart Data Collective

SEPTEMBER 19, 2023

The proliferation of big data has had a huge impact on modern businesses. We have a post on some of the industries that have been most affected by big data. Of course, there are some reasons big data can help make our communities more sustainable. What makes them different from traditional data centers? from 2021 to 2027.

Data-driven 130

Data-driven Big Data Optimization Machine Learning 130

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

CIO Business Intelligence

NOVEMBER 4, 2024

Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. AI applications are evenly distributed across virtual machines and containers, showcasing their adaptability. AI applications rely heavily on secure data, models, and infrastructure.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses. large instances.

Data Lake 97

Data Lake Data Warehouse Data-driven Optimization 97

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

Optimization 108

Optimization Data Lake Data Warehouse Cost-Benefit 108

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

JANUARY 5, 2025

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1]

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. 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. Why: Data Makes It Different.

IT 364

IT Testing Experimentation Software 364

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

Rocket-Powered Data Science

AUGUST 22, 2021

CX has become increasingly data-informed and data-driven, with VoC data being one of the key data sources. Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics.

Data-driven 277

Data-driven Interactive Behavioral Analytics Machine Learning 277

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

AWS Big Data

JANUARY 9, 2025

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

Smart Data Collective

SEPTEMBER 30, 2021

It indicates that businesses should do everything they can to protect their critical data. This article will help you to understand how remote working has caused cybercrime, its consequences, and proactive measures focusing on AI-driven cybersecurity apps to handle this critical issue. Optimizing AI-Driven Cybersecurity Apps.

Optimization 135

Optimization IoT Data-driven Cost-Benefit 135

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. How will AI improve SaaS in 2020?

Software 314

Software Cost-Benefit Data-driven Data Processing 314

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. By systematically moving data through these layers, the Medallion architecture enhances the data structure in a data lakehouse environment.

Data Quality 198

Data Quality Testing Metrics Reporting 198

David Menninger's Analyst Perspectives

JANUARY 21, 2025

Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. This is especially true for mission-critical workloads.

Data Lake 130

Data Lake IoT Cost-Benefit Enterprise 130

CIO Business Intelligence

NOVEMBER 1, 2024

Re-platforming to reduce friction Marsh McLennan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. It’s a full-fledged platform … pre-engineered with the governance we needed, and cost-optimized. The biggest challenge is data.

IT 122

IT Insurance Consulting Risk 122

Cloudera

JANUARY 7, 2025

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. The terms hybrid and multi-cloud are often used interchangeably.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

CIO Business Intelligence

SEPTEMBER 6, 2024

As data continues to drive strategic decision-making for enterprises, IT professionals are tasked with managing and interpreting vast and complex datasets. The complexity of handling data—from writing intricate SQL queries to developing machine learning models—can be overwhelming and time-consuming.

Machine Learning 124

Machine Learning IT Dashboards Data-driven 124

Smart Data Collective

AUGUST 11, 2022

Data analytics technology has become very important for helping companies manage their financial strategies. There are many great benefits of using data analytics to improve financial management strategies. Many investors are using data analytics to invest in stocks. Many investors are using data analytics to invest in stocks.

Data Analytics 128

Data Analytics Optimization Analytics Cost-Benefit 128

AWS Big Data

NOVEMBER 22, 2024

Organizations run millions of Apache Spark applications each month on AWS, moving, processing, and preparing data for analytics and machine learning. Data practitioners need to upgrade to the latest Spark releases to benefit from performance improvements, new features, bug fixes, and security enhancements.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130