Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. These traditional tools are often more than sufficient for addressing the bread-and-butter analytics needs of most businesses. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. This allows us to excel in this space, and we can see some real-time ROI into those analytic solutions.”

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Smart Data Collective

JUNE 26, 2019

Big Data, when combined with new technology such as artificial intelligence and machine learning , can be used to help determine trends much quicker than if humans had to pore over all the data. However, modern technology offers insurance companies the option to look forward into the future and predict potential outcomes.

Insurance 110

Insurance Data Analytics Analytics Big Data 110

CIO Business Intelligence

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. P&G can now better predict finished paper towel sheet lengths.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

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 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Smart Data Collective

JULY 17, 2019

Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage. New IOT devices will facilitate in-home senior care. Cutting marketing costs.

Machine Learning 106

Machine Learning Cost-Benefit Advertising IoT 106

bridgei2i

FEBRUARY 21, 2020

With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1. Deep learning provides an edge over your competition. Forbes predicts that predictive analytics will ensure that companies get a much-needed edge this year.

IoT 83

IoT Analytics Deep Learning B2B 83

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 124

Big Data IoT Cost-Benefit Advertising 124

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 144

Digital Transformation IoT Data-driven KPI 144

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ). Step two: expand machine learning and AI.

Analytics 102

Analytics Insurance IoT Risk 102

Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. Hyperlocal Weather Forecasts Made Easy.

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

Cloudera

NOVEMBER 4, 2020

For instance: One of the earlier use cases of IOT data was in people protection, where sensors track workers in industrial or manufacturing workplaces such as oil platforms to monitor their location and ensure their safety. CDP manages the end-to end lifecycle including machine learning.

Insurance 116

Insurance Machine Learning Risk IoT 116

CIO Business Intelligence

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. But those are broad plans that involve several transportation agencies and multimillion-dollar capital expenditures. Lookman Fazal, chief information and digital officer, NJ Transit.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

Smart Data Collective

MAY 20, 2019

The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. Machine Learning Experience is a Must. Machine learning technology and its growing capability is a huge driver of that automation. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

CIO Business Intelligence

AUGUST 20, 2024

Implementing AI algorithms directly on local edge devices, such as sensors or Internet of Things (IoT) devices, enables local processing and analysis for real-time decision-making, and models can continue to function even when connectivity is lost. The ability to simplify management as operations scale is essential.

Manufacturing 117

Manufacturing IoT Internet of Things Optimization 117

Cloudera

MARCH 17, 2022

It is constantly generated – and always growing in volume – by an ever-growing range of sources, from IoT sensors and other connected devices at the edge to web and social media to video and more. It’s what enables rich data analytics that help agencies make faster, and more timely decisions. .

IoT 86

IoT Cost-Benefit Data-driven Data Strategy 86

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex. technologies.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. As organizations embrace the edge ecosystem it will unlock new possibilities for intelligent automation, predictive analytics, and personalized experiences at the edge.

Forecasting 105

Forecasting Optimization Advertising IoT 105

CIO Business Intelligence

APRIL 12, 2022

This includes contextual insights, predictive analytics, and anomaly detection for all your apps, along with a topology view of the infrastructure supporting these apps. Large volumes of such datasets are crucial for training machine learning models as well as for improving the accuracy of these models over time.

Digital Transformation 145

Digital Transformation B2B Enterprise IoT 145

Cloudera

JUNE 29, 2023

By addressing this lack, they can responsibly and cost-effectively apply machine learning (ML) and AI to processes like liquidity risk management and stress-testing, transforming their ability to manage risk of any kind. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

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 128

Data-driven Cost-Benefit Data mining Big Data 128

CIO Business Intelligence

MARCH 30, 2022

The advent of digital technologies has had a major impact on the business, in both what services it delivers and how it delivers them, including IoT (internet of things) technologies and predictive maintenance capabilities. When Irvin Bishop, Jr.

Modeling 98

Modeling IT IoT Internet of Things 98

IBM Big Data Hub

SEPTEMBER 11, 2023

enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics. It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts.

Machine Learning 85

Machine Learning Cost-Benefit IoT Data Warehouse 85

Smart Data Collective

AUGUST 14, 2019

Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. The healthcare sector is heavily dependent on advances in big data. Here are some changes on the horizon.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

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. Moreover, investing more time with a product increases their familiarity with your brand.

Technology 75

Technology Forecasting Advertising Machine Learning 75

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. to rapidly find and fix bugs faster, significantly lowering the software development rates.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

FineReport

JUNE 7, 2024

With a focus on scalability and collaboration, Dataiku’s key features encompass machine learning algorithms, automated workflows, and customizable reporting tools. In 2024, Dataiku remains at the forefront of innovation by introducing advanced techniques for predictive analytics.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 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 71

Manufacturing Technology Internet of Things Cost-Benefit 71

IBM Big Data Hub

JUNE 29, 2023

Sensors collect data in real-time that is then fed into an enterprise asset management (EAM) or computerized maintenance management system (CMMS), where AI-enhanced data analysis tools and processes like machine learning (ML) spot issues and help resolve them.

Cost-Benefit 80

Cost-Benefit Measurement Predictive Analytics Management 80

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

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Real-time tracking systems, often enabled by Internet of Things (IoT) devices, help companies monitor their supply chain accurately and immediately.

Strategy 81

Strategy Management Forecasting Internet of Things 81

Cloudera

JANUARY 14, 2021

Cloudera recognizes ten top retail IoT use cases that are transforming brick and mortar stores, as you can see below, and they are transforming all aspects of the retail experience. Traditional retailers now have access to an entirely new data monetization opportunity that many have been missing out on for years.

Cost-Benefit 72

Cost-Benefit Digital Transformation Sales IoT 72