Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Ontotext

SEPTEMBER 7, 2023

But the use cases that it’s very good at have really exploded, particularly around digital transformation. Doug : The reason I bring up ChatGPT and Large Language Models (LLM) is because they are helping graphs to get into mainstream adoption and for people to understand them. Would you agree? Doug : Definitely. Malcolm : Okay.

Technology 59

Technology Visualization Digital Transformation Management 59

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Fairness : AI models should treat all groups equitably.

Consulting 59

Consulting Machine Learning Manufacturing Optimization 59

Sisense

JUNE 8, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Ontotext

JULY 13, 2023

Semantic Web Company’s PoolParty Semantic Suite allows you to model your business domain through controlled vocabularies and build rich relationships between them to provide more context to your data. Field rangers take notations about the wildlife and surrounding areas using a taxonomy of activities and observations.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

AWS Big Data

MARCH 13, 2024

You can modify the Lambda function to fetch additional vehicle information from a separate data store (for example, a DynamoDB table or a Customer Relationship Management system) to enrich the data, before storing the results in an S3 bucket. In this model, the Lambda function is invoked for each incoming event.

Analytics 95

Analytics IoT Metadata Internet of Things 95

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. For getting data from Amazon Redshift, we use the Anthropic Claude 2.0

Unstructured Data 89

Unstructured Data Structured Data Data Warehouse Testing 89

BizAcuity

MARCH 1, 2019

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. IoT, Artificial Intelligence and Healthcare.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

IBM Big Data Hub

JUNE 26, 2023

Facing challenges, Yanfeng Auto’s approach is to work with companies like IBM with advanced technology, industry experience and technical expertise to accelerate its own data-driven digital transformation to reduce cost, improve efficiency and scale for company-wide innovation.

Software 62

Software Manufacturing Optimization Digital Transformation 62

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. Flexibility would also allow to meet the requirements of a niche market segment that only a specific deployment model addresses.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

Alation

OCTOBER 28, 2021

Leaders in healthcare seek to improve patient outcomes, meet changing business models (including value-based care ), and ensure compliance while creating better experiences. Data & analytics represents a major opportunity to tackle these challenges. In other words, they use data to heal more people and save more lives.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? There are essentially four types encountered: image/video, audio, text, and structured data.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 68

Big Data Data Warehouse Advertising OLAP 68

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 75

IT Data Governance Modeling Cost-Benefit 75

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Sisense

JULY 23, 2021

“While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The Raw Vault describes objects loaded directly from the data sources and represents a copy of the landing stage in the data lake.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90