CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

APRIL 25, 2022

While the partnership with AWS is focused on providing more data and analytics capabilities for the M&E sector, the Cognizant partnership is aimed at maintaining video quality for customers. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

AWS Big Data

JULY 29, 2024

They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources. Data lakes provide a unified repository for organizations to store and use large volumes of data. This ensures consistent and effective responses to all incidents.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Introducing the next generation of Amazon SageMaker AWS announces the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. enables you to develop, run, and scale your data integration workloads and get insights faster. With AWS Glue 5.0, AWS Glue 5.0 AWS Glue 5.0

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

erwin

MARCH 26, 2020

There are three technological advances driving this data consumption and, in turn, the ability for employees to leverage this data to deliver business value 1) exploding data production 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning (ML) and artificial intelligence (AI).

Data-driven 90

Data-driven Unstructured Data Enterprise Machine Learning 90

Ontotext

OCTOBER 19, 2023

We know very well that the FAIR principles are influenced by the Linked Data Principles, which play a significant role at the core of knowledge graphs. In particular, in situations where storing personal data in one place would be problematic, knowledge graphs enable easy linking and querying of data, taking a step in this direction.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load).

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

CIO Business Intelligence

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3.

Data Lake 111

Data Lake Big Data Data Warehouse Consulting 111

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. We create an S3 bucket to store data that exceeds the Lambda function’s response size limits.

Recreation/Entertainment 98

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 98

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

IBM Big Data Hub

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Cost-Benefit 95

Cost-Benefit Insurance Unstructured Data Consulting 95

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

Wayne Yaddow

MARCH 14, 2025

Instead of relying on one-off scripts or unstructured transformation logic, dbt Core structures transformations as models, linking them through a Directed Acyclic Graph (DAG) that automatically handles dependencies. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. .

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 98

Big Data Software Consulting Unstructured Data 98

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Machine Learning Technology. Other Technologies. Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. This is the power of Zenia Graph’s services and solution powered by Ontotext GraphDB.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

SEPTEMBER 6, 2018

Handle increases in data volume gracefully. Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Provide audit and data lineage information to facilitate regulatory reviews. Cloudera Enterprise.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

CIO Business Intelligence

NOVEMBER 18, 2022

This type of flexible, cloud-based data management allows 3M HIS to aggregate different data sets for different purposes, ensuring both data integrity and faster processing. This is a dynamic view on data that evolves over time,” said Koll. s legendary culture of innovation.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

Ontotext

SEPTEMBER 2, 2020

For efficient drug discovery, linked data is key. The actual process of data integration and the subsequent maintenance of knowledge requires a lot of time and effort. It is increasingly the case that AI is making the rote decisions such as Ontotext’s NLP plugins for automating semantic tagging.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Using machine learning, RED indicates the impact of events on stock prices.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

FEBRUARY 22, 2023

However, the data source for the dashboard still resided in an Aurora MySQL database and only covered a single data domain. The initial data warehouse design in Ruparupa only stored transactional data, and data from other systems including user interaction data wasn’t consolidated yet.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Cloudera

MAY 16, 2018

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot. Conclusion.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

FineReport

APRIL 26, 2023

Recently, Spark set a new record by processing 100 terabytes of data in just 23 minutes, surpassing Hadoop’s previous world record of 71 minutes. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? As your organization collects and uses more data, manual data classification becomes overwhelming for data owners.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

CIO Business Intelligence

APRIL 9, 2025

According to Gartner , lack of data management practices and rigor around governance can introduce risk and significantly impede data and analytics strategic readiness and ultimately AI readiness. This capability has become increasingly more critical as organizations incorporate more unstructured data into their data warehouses.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

CIO Business Intelligence

MAY 24, 2022

Today transactional data is the largest segment, which includes streaming and data flows. EXTRACTING VALUE FROM DATA. One of the biggest challenges presented by having massive volumes of disparate unstructured data is extracting useable information and insights. These challenges can be summarised as follows.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

MAY 9, 2024

Data Migration Pipelines : These pipelines move data from one system to another, often for the purpose of upgrading systems or consolidating data sources. For example, migrating customer data from an on-premises database to a cloud-based CRM system. structured, semi-structured, or unstructured data).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

David Menninger's Analyst Perspectives

JANUARY 29, 2025

The companys Data Intelligence Platform is now positioned as providing a lakehouse-based environment for data engineering, data warehousing, stream data processing, data governance, data sharing, business intelligence (BI), data science and AI.

IT 147

IT Dashboards Unstructured Data Big Data 147

CIO Business Intelligence

JANUARY 30, 2025

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. AI-driven platforms process vast datasets to identify patterns, automating tasks like metadata tagging, schema creation and data lineage mapping.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

JANUARY 29, 2025

Large language models (LLMs) are good at learning from unstructured data. Companies that need to bring data together typically do one-off data integration projects instead. LLMs are optimized for unstructured data, adds Sudhir Hasbe, COO at Neo4j.

Enterprise 134

Enterprise Unstructured Data Recreation/Entertainment Modeling 134