Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale.

Data Lake 253

Data Lake Unstructured Data Big Data Dashboards 253

CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 138

Digital Transformation Unstructured Data Machine Learning Risk Management 138

Smart Data Collective

FEBRUARY 2, 2021

In general, Big Data can help businesses in all fields – it’s not something reserved for tech companies. However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. Healthcare.

Big Data 85

Big Data Recreation/Entertainment Cost-Benefit Finance 85

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

bridgei2i

APRIL 23, 2020

One of the specific AI use case in FS has been Fraud Management, which triggers alerts when seemingly contradictory spending patterns are observed. AI can assess quantitative data, as well as unstructured data systems, for better risk management of financial and reputational losses. Learn MORE. “We

Risk 52

Risk Management Scorecard Forecasting 52

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. This comes down to model risk management.

Modeling 64

Modeling IT Risk Management Deep Learning 64

bridgei2i

FEBRUARY 28, 2020

Today, with AI, more sophisticated rules can be developed which address the sparse data problems by factoring in alternate and behavioural data such as smart phone usage and payment behaviour. With AI, apart from the quantitative data, unstructured data systems can be assessed for risk management.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78