Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Chatbots cannot hold long, continuing human interaction. Examples: (1) Games. (2)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

SEPTEMBER 20, 2023

And they won’t be able to interact with customers. One of the most exciting aspects of generative AI for organizations is its capacity for putting unstructured data to work, quickly culling information that thus far has been elusive through traditional machine learning techniques. For now, at least. May I help you? That’s huge.”

Insurance 127

Insurance Unstructured Data Cost-Benefit Interactive 127

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). That’s how we got here.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

CIO Business Intelligence

MAY 10, 2024

Each service is broken down and then categorized by its own specific set of functions into a standardized interface, enabling those services to interact with and access one another. Introduced in the late 1990s as the Big Data era emerged, NoSQL remains a key way for organizations to handle large swaths of data.

IT 129

IT Unstructured Data Software Reporting 129

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. It’s designed for business users, particularly ecommerce teams. Segment CDP.

Advertising 111

Advertising Interactive Marketing Data Integration 111

Smart Data Collective

JANUARY 25, 2023

Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective. From there, business intelligence and insight will become a breeze.

Strategy 87

Strategy Interactive Data Collection Management 87

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

MAY 24, 2022

It needs an enterprise data platform that can ingest raw data from its source and manage that data throughout its journey, a platform that incorporates analytic capabilities across hybrid and multi-cloud environments, and with the security and governance policies required for sensitive customer data.

Enterprise 93

Enterprise Cost-Benefit Structured Data Data-driven 93

AWS Big Data

FEBRUARY 20, 2024

With this zero-ETL approach, Amazon Redshift Streaming Ingestion enables you to connect to multiple Kinesis data streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK) data streams and pull data directly to Amazon Redshift without staging data in Amazon Simple Storage Service (Amazon S3).

Visualization 102

Visualization Cost-Benefit Optimization B2B 102

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Jet Global

FEBRUARY 6, 2024

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. Logi Symphony’s core now leverages the power of artificial intelligence (AI) and machine learning, propelling you into a realm of instant discovery.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

Smarten

MAY 17, 2017

If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. What is the difference between viewing structured data and compiling and analyzing unstructured data?

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

CDW Research Hub

DECEMBER 4, 2019

Cloud-based data warehouses can also perform complex analytical queries much faster due to the use of massively parallel processing (MPP), which uses multiple processors—each with its own operating system and memory—to simultaneously perform a set of coordinated computations.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

AWS Big Data

NOVEMBER 9, 2023

Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Finally, the data is aggregated into specific data products oriented to a specific business line.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

CIO Business Intelligence

JUNE 14, 2023

Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 63

Unstructured Data IT Manufacturing Visualization 63

Ontotext

JULY 26, 2019

By ingesting and fusing data, the knowledge graph enhances the work of systems, apps, bots and search engines alike, giving this “machinery” (and us) the needed structured data to spin automation and increase the scale of the processes. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 75

Technology Enterprise Data Integration Management 75

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

JULY 26, 2019

By ingesting and fusing data, the knowledge graph enhances the work of systems, apps, bots and search engines alike, giving this “machinery” (and us) the needed structured data to spin automation and increase the scale of the processes. Take, for instance, the domain of business intelligence and the problem of discoverability.

Technology 40

Technology Data Integration Enterprise Structured Data 40

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 83

IT Data Architecture Unstructured Data Big Data 83

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. It provides business analysts and managers with a visualization of the business’s past and current state, helping leaders make strategic decisions that dictate the future.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52