article thumbnail

The Rise of Unstructured Data

Cloudera

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

article thumbnail

Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Belcorp reimagines R&D with AI

CIO Business Intelligence

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. Furthermore, we succinctly conveyed the platform’s value and benefits to the end-users through a series of workshops and demos, thus ensuring the platform’s adoption.”

article thumbnail

Tech leaders weigh in on the upside and flipside of generative AI

CIO Business Intelligence

We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks. But overall, we see this as a huge opportunity. But CIOs are vocal about the importance of robots working in tandem with people.

Risk 98
article thumbnail

Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. To learn more about authoring dashboards in QuickSight, check out the QuickSight Author Workshop.

article thumbnail

Enhancing the Wimbledon fan experience with AI from watsonx

IBM Big Data Hub

Twice a year, the IBM iX and the Wimbledon team meet for workshops guided by the IBM Garage™ methodology, an enterprise design thinking collaboration that sets a roadmap for building and iterating the next generation of features that drive fan engagement.

article thumbnail

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.