CIO Business Intelligence

JANUARY 24, 2024

It’s the culmination of a decade of work on deep learning AI. Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. You probably know that ChatGPT wasn’t built overnight.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

bridgei2i

OCTOBER 7, 2020

Sometimes due to excessive volume of data, an underwriter can get confused and is unable to measure risk appropriately. Importance of capturing market data for optimized pricing models. The more data an underwriter has at his disposal, the more accurately he will be able to assess risk. The way ahead for insurers.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

DataKitchen

APRIL 13, 2021

Monte Carlo Data — Data reliability delivered. Data breaks. Observe, optimize, and scale enterprise data pipelines. . Validio — Automated real-time data validation and quality monitoring. . DataMo – Datmo tools help you seamlessly deploy and manage models in a scalable, reliable, and cost-optimized way.

Testing 307

Testing Machine Learning Consulting Data Quality 307

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

MAY 17, 2023

The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Data Collection 82

Data Collection Visualization Data-driven Unstructured Data 82

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137