article thumbnail

Large Language Models and Data Management

Ontotext

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. But there are also a host of other issues (and cautions) to take into consideration. LLM is by its very design a language model. The technology is very new and not well understood.

article thumbnail

The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. It is also agnostic to where the different domains are hosted.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

article thumbnail

Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

Finance 98
article thumbnail

Building resilient infrastructure: the key to cloud-native, real-time decision-making

CIO Business Intelligence

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

article thumbnail

4 paths to sustainable AI

CIO Business Intelligence

Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?”

article thumbnail

Public or On-Prem? Telco giants are optimizing the network with the Hybrid Cloud

Cloudera

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.