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 123

Analytics Key Performance Indicator Unstructured Data IoT 123

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. For businesses looking to improve their consumer marketing communications, finding relevant images in real-time is a time-consuming venture. The solution?

Technology 279

Technology Internet of Things IT IoT 279

bridgei2i

MAY 7, 2019

Most enterprises and heavyweight financial companies are acquiring start-ups with the motive to analyze the massive amounts of unstructured data automatically. AI automates various financial processes of wealth management to offer tax-optimized and personalized investment experiences to their clients. Author: Prabhash Bachhuwan.

IoT 40

IoT Unstructured Data Finance Data-driven 40

bridgei2i

NOVEMBER 25, 2020

One of the major repercussions of the COVID-19 pandemic in financial sectors has been the increase in awareness about insurable risks across categories and markets. The automated process can then be used to parse structured and unstructured data sources such as IoT data, claims data, physical proofs, social data, life health data, etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance.

Data Lake 105

Data Lake Analytics Data Warehouse Machine Learning 105

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 78

Data Collection Visualization Data-driven Unstructured Data 78

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. Retail Service: Using real-time analytics to help brands, marketers, and retailers understand and learn how customers behave while they shop in the store.

Analytics 94

Analytics Unstructured Data IoT Visualization 94

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

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.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. It’s hard for CIOs and CDOs to keep up and make the right technology decisions in a rapidly changing and disruptive, yet innovative, market. Tough decisions. Complex scenarios.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

AWS Big Data

FEBRUARY 21, 2023

We dive deep into a hybrid approach that aims to circumvent the issues posed by these two and also provide recommendations to take advantage of this approach for healthcare data warehouses using Amazon Redshift. What is a dimensional data model? It optimizes the database for faster data retrieval. What is a hybrid model?

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20