CIO Business Intelligence

NOVEMBER 16, 2023

The most popular LLMs in the enterprise today are ChatGPT and other OpenAI GPT models, Anthropic’s Claude, Meta’s Llama 2, and Falcon, an open-source model from the Technology Innovation Institute in Abu Dhabi best known for its support for languages other than English. Things are changing week by week. We have every model working,” he adds.

Modeling 139

Modeling Enterprise Sales Marketing 139

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

SEPTEMBER 12, 2024

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). The LLMs are hosted on Amazon Elastic Kubernetes Service (Amazon EKS) with GPU-enabled node groups to ensure rapid inference processing.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Real-Time Data Processing and Delivery.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

Ontotext

MAY 25, 2023

The conference positioning focused on knowledge graphs as a mature, enterprise-ready technology for long-term and mission-critical use cases that require security, resilience and scalability. This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Alation

JULY 13, 2021

We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Accompanying this acceleration is the increasing complexity of data. Complex data management is on the rise.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. So we bet big on Flink in 2020 and started developing tooling to bring it to the enterprise, and have a mature Flink product used by customers in banking, telco, manufacturing, and IT, (link here).

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

CIO Business Intelligence

JUNE 14, 2023

Enterprises can handle much higher data volumes on a unified platform spanning multiple use cases with the scalability to handle the storage and processing of large volumes of data – far beyond petabytes. Consider data types. This is why Cloudera’s single platform solution is so effective.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Ontotext

SEPTEMBER 15, 2020

Connecting the data in a graph allows concepts and entities to complement each other’s description. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data. Ontotext’s Platform for Enterprise Knowledge Graphs.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

IBM Big Data Hub

NOVEMBER 3, 2023

SATA (Serial Advanced Technology Attachment) is a protocol that prescribes how data is moved between a computer and a storage device, such as a hard disk drive (HDD ). According to a recent Gartner report (link resides outside ibm.com), SSDs are currently surpassing HDDs as the preferred industry standard for structured data workloads.

Cost-Benefit 72

Cost-Benefit Internet of Things Enterprise Technology 72

Ontotext

NOVEMBER 2, 2023

While relational databases are the best fit for managing structured data workloads, they are not good for ad hoc inquiry and scenario-based analysis. Data has become isolated and mismatched across repositories and silos due to technology fragmentation and the rigidity of the relational paradigm.

IT 69

IT Cost-Benefit Data-driven Technology 69

AWS Big Data

MARCH 13, 2024

Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 122

Analytics IoT Metadata Internet of Things 122

AWS Big Data

MARCH 26, 2024

With QuickSight, you can embed dashboards to external websites and applications , and the SPICE engine enables rapid, interactive data visualization at scale. Data warehouse Data warehouses are efficient in consolidating structured data from multifarious sources and serving analytics queries from a large number of concurrent users.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

CDW Research Hub

JULY 31, 2019

Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. NLU is able to do two things?—?intent

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Alation

OCTOBER 28, 2021

Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity. Multiple data structures: different departments use distinct technologies and data structures. Data governance is the solution to these challenges.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

AWS Big Data

FEBRUARY 25, 2025

These intricate solutions, while powerful, often come with a significant financial burden, particularly for small and medium enterprise customers. Amazon EC2 to host and run a Jenkins build server. Based on the configuration file, the input data is fetched and technical validations are applied.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

AWS Big Data

OCTOBER 30, 2024

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

Data Lake 92

Data Lake Machine Learning Data Architecture Data-driven 92