Smart Data Collective

APRIL 2, 2019

Machine learning is having a major impact on countless industries across the globe. According to an analysis by CB Insights, machine learning and AI are having a large impact on this industry in many ways. Machine Learning is Driving the Evolution of the Energy Industry. Machine Learning Leads to Visibility.

Machine Learning 106

Machine Learning Internet of Things Digital Transformation IoT 106

CIO Business Intelligence

JANUARY 20, 2023

At the end of the day, it’s all about patient outcomes and how to improve the delivery of care, so this kind of IoT adoption in healthcare brings opportunities that can be life-changing, as well as simply being operationally sound. But ransomware isn’t the only risk. Many connected devices ship with inherent vulnerabilities.

IoT 100

IoT Risk Insurance Machine Learning 100

CIO Business Intelligence

APRIL 12, 2022

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Traditional supply chain analytics and decision-making focused on risk avoidance and control. The future of the supply chain is IoT-driven. Setting them up is a byzantine, time-consuming process.

IoT 105

IoT Analytics Manufacturing Internet of Things 105

Smart Data Collective

AUGUST 19, 2019

All types of business use IoT very actively now, by 2022 the expenses in this sphere will reach $1 trillion. If someone had created an IoT security indicator, this device would have long been flashing red. A couple of years ago, Kaspersky Lab set up IoT traps (honeypots) that mimicked various gadgets running Linux.

IoT 89

IoT Manufacturing Internet of Things Machine Learning 89

Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

Digital Transformation 129

Digital Transformation Risk Strategy Testing 129

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

IoT 93

IoT Machine Learning Optimization Insurance 93

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. The fact is that it is and will affect our lives, whether we like it or not.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. Progressing AI based solutions from proof of concept or minimum viable product (MVP) to production.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

MARCH 6, 2024

continues to roll out, the internet of things (IoT) is expanding, and manufacturing organizations are using the latest technologies to scale. Attacks against OT systems pose risks beyond financial losses. investments because they deal with the security barriers that tend to slow down IoT, 5G, and SD-WAN adoption. As Industry 4.0

Manufacturing 126

Manufacturing Cost-Benefit ROI IoT 126

Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Rocket-Powered Data Science

JULY 21, 2023

From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. ” Model-Assisted Threat Hunts , also known as Splunk M-ATH , is Splunk’s brand name for machine learning-assisted threat hunting and mitigation. “Don’t be a SOAR loser!

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The in-depth analysis of historical data gives insurers a platform to base their determination of risk. Seeing Into the Future.

Insurance 110

Insurance Data Analytics Analytics Big Data 110

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. We’re doing a lot on AI and machine learning and robotics. The benefits of a solid cloud foundation.

Insurance 145

Insurance Machine Learning Digital Transformation Cost-Benefit 145

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. For instance, suppose a new dataset from an IoT device is meant to be ingested daily into the Bronze layer.

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Have business leaders defined realistic success criteria and areas of low-risk experimentation? Are data science teams set up for success?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

CIO Business Intelligence

OCTOBER 18, 2023

The procedure, often called kidney dialysis, cleansing a patient’s blood, substituting for the function of the kidneys, and is not without risk, however. Fresenius’s machine learning model uses electronic health records comprising intradialytic blood pressure measurements and multiple treatment- and patient-level variables.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step two: expand machine learning and AI.

Analytics 102

Analytics Insurance IoT Risk 102

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. Worst case, they let security teams limit the damage of a successful attack to something determined to be an acceptable level of risk. They are: Innovations in automation.

Machine Learning 145

Machine Learning Software Behavioral Analytics Deep Learning 145

Rocket-Powered Data Science

OCTOBER 6, 2023

In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. These may not be high-risk discoveries, but they could be high-reward discoveries.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

John Wheeler

DECEMBER 18, 2018

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks.

Digital Transformation 96

Digital Transformation Risk Management Internet of Things Risk 96

CIO Business Intelligence

NOVEMBER 15, 2022

Resilient cybersecurity Despite the clamour for new digital investments, Gartner’s analysts did recognise that this would represent a new cybersecurity risk, with some attributing the increased spending in security over the next year down to ongoing uncertainty regarding Russia’s invasion of Ukraine.

Digital Transformation 143

Digital Transformation Machine Learning Experimentation Data-driven 143

Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs). These may not be high risk. They might actually be high-reward discoveries.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. A critical component of smarter data-driven operations is commercial IoT or IIoT, which allows for consistent and instantaneous fleet tracking. The global IoT fleet management market is expected to reach $17.5

Big Data 132

Big Data Cost-Benefit IoT Machine Learning 132

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Machine Learning Internet of Things Cost-Benefit 47

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. Addressing specific health risks facing seniors.

Machine Learning 106

Machine Learning Cost-Benefit Advertising IoT 106

AWS Big Data

MAY 28, 2024

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 115

IoT Analytics Dashboards Data-driven 115

CIO Business Intelligence

SEPTEMBER 24, 2024

Organizationally, Wiedenbeck is a member of Ameritas’ AI steering committee, called the “mission team,” which includes the legal and risk officers, along with the CIO. Previously, he had led Ameritas’ efforts in AI, which included using machine learning (ML) to interpret dental x-rays in order to verify coverage.

IT 130

IT Insurance Cost-Benefit Risk 130

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. AI tries to imitate natural human intelligence or the cognitive functions that humans perform using their mind such as learning and problem-solving.

IoT 56

IoT Internet of Things Big Data Data-driven 56

DataKitchen

JULY 27, 2023

You can use it for big data analytics and machine learning workloads. Machine learning workflows with Azure Machine Learning and Azure Databricks: Azure Databricks can be used to preprocess and clean data, then the transformed data can be stored in Azure Blob Storage. Azure Machine Learning).

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Cloudera

DECEMBER 18, 2018

Defining these is, therefore, a crucial element, and Cloudera is now taking part in just that for the biggest revolution we’ve seen in business and society: the Internet of Things (IoT). Standards for IoT. Architecture for IoT. Connectivity is a pretty well-defined part of the IoT puzzle. Open source for IoT.

IoT 43

IoT Internet of Things Machine Learning Insurance 43

CIO Business Intelligence

DECEMBER 7, 2023

In 2017, the university created its Education and Research Center for Disaster Risk Reduction and Redesign that focuses on disaster relief – including disaster medicine, prevention education, and reconstruction design. So far, the solution has increased details about disaster-response risk by 40% over traditional methods.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

Cloudera

NOVEMBER 4, 2020

Customers, especially in personal lines, tend not to focus on risk and exposure changes at renewals, but their agents or brokers do. The best price that can be offered is based on providing only the insurance that is needed and appropriate to the specific needs and risks of the customer at that point in time or during the policy period.

Insurance 116

Insurance Machine Learning Risk IoT 116

CIO Business Intelligence

JUNE 22, 2022

At the same time, 5G adoption accelerates the Internet of Things (IoT). Japan and South Korea are expected to see 150 million IoT connections by 2025 , which will include the manufacturing and logistics sectors.

IoT 98

IoT IT Manufacturing Internet of Things 98

Timo Elliott

MAY 8, 2023

It monitors sensors and indicators powered by IoT, machine learning, and digital twin technology in real-time, in the form of graphs, geographical maps, and advanced analytics of equipment and systems. Any incidents can impact workers safety, reliability, operational efficiencies, or environmental requirements.

IoT 104

IoT Cost-Benefit Machine Learning Risk 104

Cloudera

APRIL 27, 2022

At the same time, 5G adoption accelerates the Internet of Things (IoT). Japan and South Korea are expected to see 150 million IoT connections by 2025 , which will include the manufacturing and logistics sectors.

IoT 99

IoT IT Manufacturing Internet of Things 99