datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. Underwriters to spend more time in risk evaluation instead of capturing data from unstructured docs like tax, medical etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Rocket-Powered Data Science

MAY 21, 2024

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

IBM Big Data Hub

AUGUST 1, 2023

Organizations that utilize them correctly can see a myriad of benefits—from increased operational efficiency and improved decision-making to the rapid creation of marketing content. They can also quickly and accurately translate marketing collateral into multiple languages.

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Ontotext

MAY 22, 2023

Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. Get the inside scoop and learn all the new buzzwords in tech for 2020! Thus, deep nets can crunch unstructured data that was previously not available for unsupervised analysis.

Technology 279

Technology Internet of Things IT IoT 279

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. It’s used for developing deep learning models.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The global commercial drone market is projected to grow from USD 8.15 The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

CIO Business Intelligence

JANUARY 20, 2023

Modern compute infrastructures are designed to enhance business agility and time to market by supporting workloads for databases and analytics, AI and machine learning (ML), high performance computing (HPC) and more. Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Analytics 125

Analytics Key Performance Indicator Unstructured Data IoT 125