CIO Business Intelligence

JUNE 7, 2022

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

DECEMBER 21, 2020

Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. Customers are becoming more accustomed to interacting with AI in their day to day lives, even if they don’t always realize it. Are we close to AI reliance?

Insurance 142

Insurance Cost-Benefit Big Data Unstructured Data 142

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! In the past, data scientists had to rely on powerful computers to manage large volumes of data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

CIO Business Intelligence

AUGUST 21, 2024

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. The systems are fed the data, and trained, and then improve over time on their own.” According to Gartner, an agent doesn’t have to be an AI model.

Risk 136

Risk Insurance Cost-Benefit Software 136

Domino Data Lab

JULY 2, 2019

Scale the problem to handle complex data structures. Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14).

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

APRIL 27, 2022

These new advertiser challenges caused the company to develop AI models to find creators and influencers who provide more authentic, natural and non-disruptive brand-to-customer interactions. Initially, BEN Group’s data science teams used cloud computing to develop and experiment with their AI models.

Modeling 52

Modeling Advertising Unstructured Data Cost-Benefit 52

Ontotext

MAY 22, 2023

Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data. We use other deep learning techniques for such tasks. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Ontotext

FEBRUARY 26, 2024

It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Domino Data Lab

AUGUST 10, 2021

PyTorch: used for deep learning models, like natural language processing and computer vision. It’s used for developing deep learning models. Horovod: is a distributed deep learning training framework that can be used with PyTorch, TensorFlow, Keras, and other tools.

Modeling 64

Modeling IT Deep Learning Risk Management 64