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

Top 5 Tools for Building an Interactive Analytics App

Smart Data Collective

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. hour (Engine:1 x c5d.4xlarge).

Insiders

Sign Up for our Newsletter

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

article thumbnail

Game on: The evolution of gaming through generative AI innovation

CIO Business Intelligence

Generative AI will take the gaming world from the current scripted and somewhat limited interactions to a vast selection of player-driven dynamic experiences. Expanding the universe of possibilities Gaming worlds are a major draw for gamers—and the ability to keep these worlds interesting and evolving is important to maintaining interaction.

article thumbnail

Data governance in the age of generative AI

AWS Big Data

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

article thumbnail

Real-time artificial intelligence and event processing  

IBM Big Data Hub

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

article thumbnail

Generative AI will profoundly change healthcare operations

CIO Business Intelligence

Plus, the implementation of cloud technology and the ability to use data at scale has markedly improved. Adding generative AI to this mix creates a catalyst to dramatically boost productivity and lower costs by assisting human interactions with automation.

article thumbnail

Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO Business Intelligence

The LLMs, algorithms, and structures that a healthcare payer or provider interacts with represent the visible part of the iceberg. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. The need for generative AI data management may seem daunting.