AWS Big Data

SEPTEMBER 19, 2023

Chime’s Risk Analysis team constantly monitors trends in our data to find patterns that indicate fraudulent transactions. However, our legacy data warehouse-based solution was not equipped for this challenge. To make high-quality decisions, we need to collect user event data from various sources and update risk profiles in real time.

Analytics 77

Analytics Risk Big Data Machine Learning 77

datapine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Modernize data flows.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

Smart Data Collective

SEPTEMBER 7, 2022

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO.

Data mining 133

Data mining Strategy Marketing Optimization 133

Ontotext

FEBRUARY 1, 2024

For example, the method for managing multilingual taxonomies became massively simpler (once concept could now hold multiple language labels), resulting in huge cost savings compared with the previous data model. The widespread adoption of RDF as a semantic data model transformed simple taxonomies into extensible and expressive ontologies.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

IBM Big Data Hub

JUNE 20, 2023

Digital twin technology: A digital twin is a virtual representation of an asset a company intends to acquire that assists organizations in their decision-making process. One of the most important strategic decisions a business leader can make is how these assets are cared for over the course of their lifespans.

Strategy 74

Strategy Management Cost-Benefit IoT 74

IBM Big Data Hub

FEBRUARY 14, 2024

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. We’re all amazed by what AI can do.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. It requires rethinking the data lifecycle itself. .

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Ontotext

FEBRUARY 16, 2023

An area of AI that Ontotext has been working on for over 20 years is text analytics. This uses natural language processing (NLP) techniques to perform information extraction across unstructured content and store it in a structured form. This data can then be easily analyzed to provide insights or used to train machine learning models.

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance.

Data Lake 91

Data Lake Snapshot Metadata Optimization 91

AWS Big Data

MARCH 21, 2024

In this post, we provide step-by-step guidance on how to get started with near real-time operational analytics using this feature. This post is a continuation of the zero-ETL series that started with Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g., Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis. Why do we need a data catalog?

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

AWS Big Data

OCTOBER 4, 2023

This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant. Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. It comes with an intuitive user interface (UI).

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

Cloudera

DECEMBER 7, 2020

As the pandemic’s stress test of e-commerce, in-store insights, supply chain visibility, and fulfillment capabilities have revealed shortcomings, and long-lasting consumer experiences— it has also allowed many companies to pivot to very successful strategies built on enterprise data and the digitization efforts that accompany it.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

Smart Data Collective

SEPTEMBER 8, 2020

You can see how big data and AI are being utilized by the most astute CBD marketers. You can get a better sense of the role that big data plays in the changing direction of the market. So how can you stand out in a crowded marketplace by leveraging data analytics ? Big Data is Driving Major Changes in the CBD Industry.

Data-driven 108

Data-driven Marketing Big Data Advertising 108

erwin

AUGUST 6, 2020

How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. So, what is data literacy? What Is Data Literacy? Data Literacy Definition.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. The power of the data lake lies in the fact that it often is a cost-effective way to store data.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Ontotext

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. Data Fabric: Who and What?

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Data is both the enabler and the competitive advantage behind these experiences.” — Satyen Sangani, CEO and co-founder, Alation.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

Ontotext

NOVEMBER 5, 2019

Ontotext Platform synergizes knowledge graphs and text analysis as follows: Knowledge graphs can improve text analysis performance. Making such a list is a relatively straightforward, if time-consuming, process. Search and analytics are improved immediately. The knowledge graph also improves disambiguation.

IT 69

IT Technology Modeling Analytics 69

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. Click To Tweet How will LLM impact text analysis and content analytics?

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Mark Raskino

MAY 27, 2021

[Reminder: this blog is personal observation, not Gartner research. The Just Walk Out system uses up some space for the entry control gates just inside the doors – but really no more than the conventional electronic tag security arches and shopping basket stands would. I am a digital business generalist. Space Saving.

Technology 59

Technology Cost-Benefit IT Management 59

AWS Big Data

AUGUST 23, 2023

With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data.

Snapshot 93

Snapshot Dashboards Visualization Metrics 93

Alation

FEBRUARY 28, 2023

business users can access trusted data natively in an expanded suite of beloved products, as Alation Connected Sheets now works with Microsoft Excel and Alation Anywhere will work with Microsoft Teams. These new updates help teams collaborate more efficiently by connecting the data intelligence of Alation to the productivity tools they love.

Contextual Data 52

Contextual Data Metadata Data-driven Visualization 52

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements.

Testing 130

Testing Metadata Risk Data Science 130