Smart Data Collective

OCTOBER 16, 2023

IoT Sensors generate IoT data. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. This allows them to predict the goods that customers wish to see and target customers with more relevant and personalized marketing. Spotify is a good example.

Big Data 103

Big Data IoT Cost-Benefit Advertising 103

CIO Business Intelligence

JULY 20, 2023

These solutions leverage the latest advances in IoT and weighing scale and camera technologies to minimize or even eliminate friction, as they can precisely track the items customers add to their baskets and bill them when they exit the store. From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027.

Technology 75

Technology Forecasting Advertising Machine Learning 75

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Digital Transformation 141

Digital Transformation IoT Data-driven KPI 141

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Open source solutions reduce risk.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. While still in its early stages, the use of blockchain in EAM is a trend worth watching.

Cost-Benefit 62

Cost-Benefit IoT Internet of Things Enterprise 62

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. We talked about the benefits of outsourcing IoT and other data science obligations. One of the other benefits of data analytics is that it can help forecast future business activity.

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 108

Enterprise Interactive Data-driven Key Performance Indicator 108

Cloudera

JUNE 29, 2023

Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Apply emerging technology to intraday liquidity management.

Data Architecture 83

Data Architecture Risk Management Risk Management 83

BizAcuity

JUNE 3, 2022

As a result, retailers are eyeing leveraging Artificial Intelligence and Machine Learning for highly accurate predictions and studying market behavior. Current trends show retailers experimenting with emerging technologies like Predictive Analytics and IoT. Business decisions depend on the demand.

Data Analytics 59

Data Analytics Analytics Forecasting Predictive Analytics 59

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

BizAcuity

MARCH 31, 2022

Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. What’s the biggest challenge manufacturers face right now?

Manufacturing 80

Manufacturing Technology Internet of Things Cost-Benefit 80

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361