Tenable

FEBRUARY 22, 2024

Taking a proactive approach to cybersecurity through continuous monitoring of exposures helps organizations reduce their attack surface and, in some cases, their cyber insurance premiums, so the vulnerability management solution pays for itself." IDC Recommendation: Utilize machine learning for identifying unusual configurations.

Marketing 121

Marketing Machine Learning Artificial Inteligence IoT 121

TechCrunch

JULY 27, 2022

Others, like Lime , have started integrating camera-based computer vision systems that rely on AI and machine learning to accurately detect where a rider is. Drover, which was founded in May 2020, closed out a $5.4 million Series A Wednesday. ” But that’s way down the line.

IoT 220

IoT Transportation Artificial Inteligence Infrastructure 220

Cloudera

SEPTEMBER 22, 2022

Insurance carriers are always looking to improve operational efficiency. 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. It’s not easy, but it can be done in pragmatic steps to yield results.

Analytics 95

Analytics Data Insurance eBook 95

UruIT

JULY 28, 2021

IoT is changing the healthcare landscape for the better. Here are the top 5 examples of how IoT is impacting the healthcare industry: Remote Patient Monitoring . Perhaps the most well-known benefit of IoT in healthcare is remote patient monitoring. Well, the use of IoT devices and tools reduces the need for unnecessary visits.

IoT 52

IoT Healthcare Examples Industry 52

Hacker Earth

MARCH 29, 2018

Like every other industry, the global insurance sector, worth over $5 trillion, has undergone an immense overhaul because of disruptive technologies in recent years. According to PwC’s 2017 Global InsurTech Report, the challenges the insurance industry faces in their ability to innovate are. Talent (87%). IT security (53%). Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

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 42

IoT Open Source Architecture Machine Learning 42

OTS Solutions

NOVEMBER 14, 2023

Machine Learning and Real-time Analysis Machine learning algorithms can detect patterns and make accurate predictions, fostering early detection and diagnosis of oral diseases. Machine learning enables personalized treatment plans by analyzing patient records and historical data, optimizing dental care outcomes.

Technical Review 130

Technical Review Technology 3D Healthcare 130

AWS Machine Learning - AI

FEBRUARY 29, 2024

About the Authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build AI/ML solutions. Mark’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. Dr. Baichuan Sun , currently serving as a Sr.

Knowledge Base 107

Knowledge Base Artificial Inteligence Generative AI AWS 107

Trigent

JUNE 28, 2022

Robotic process automation, AI, and machine learning are helping healthcare organizations manage vast amounts of data and optimize routine tasks. AI advancements like machine learning (ML) and optical character recognition (OCR) enable efficient data processing and accurate information retrieval. Billion by 2032.

Healthcare 91

Healthcare Artificial Inteligence IoT Strategy 91

Coforge

AUGUST 31, 2020

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Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Cloudera

MAY 4, 2022

In a retail operation, for instance, AI-driven smart shelf systems use Internet of Things (IoT) and cloud-based applications to alert the back room to replenish items. Insurance and finance companies leverage this speed to review claims, loan requests, and credit checks. Efficiency is a continual goal for any organization.

Artificial Inteligence 128

Artificial Inteligence Off-The-Shelf Systems Review Artificial Intelligence 128

Capgemini

APRIL 21, 2021

Prior to the ongoing COVID-19 pandemic, the insurance industry was working hard to overcome the perception of being antiquated and out of touch. Today, the challenges presented by a global health and economic crisis have insurance organizations scrambling to fully support a monumental shift in customer risk needs, demands, and expectations.

Innovation 52

Innovation Insurance Artificial Inteligence Artificial Intelligence 52

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. Machine learning and AI: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. Machine learning and AI: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Cutter Consortium

MARCH 13, 2018

Many, including Cutter Consortium Senior Consultant Curt Hall , think AI has the potential to disrupt lots of industries, including banking/financial services, healthcare, automotive, retail, Internet of Things (IoT), IT security, government, and the military. We’re in the midst of conducting a study on AI and machine learning.

Artificial Inteligence 56

Artificial Inteligence Machine Learning Automotive Survey 56

Sunflower Lab

FEBRUARY 8, 2024

Actionable Insights Driving Improvements Power BI dashboards utilize advanced analytics and machine learning algorithms to transform raw healthcare data into actionable insights. It includes metrics related to employee well-being, health insurance utilization, and workplace safety.

Healthcare 40

Healthcare Metrics Analytics IoT 40

Apiumhub

AUGUST 28, 2018

Currently, technological advancements offer the insurance industry a tremendous opportunity to meet growing customer needs. These startups came up with interesting projects that make the insurance industry much more pleasant for the end users. It was founded to provide cyber risk intelligence to the insurance industry.

Insurance 95

Insurance Technical Review Artificial Inteligence Policies 95

Altexsoft

SEPTEMBER 17, 2019

Or spend weeks, being suffocated by the bureaucracy of your insurance company just to get a refund after a minor car accident. An insurance company receives thousands of claims every day, which means that an insurance agent has to study each one of them, digitize, and distinguish real claims from the fake ones. Personalization.

Artificial Inteligence 15

Artificial Inteligence Machine Learning Insurance Banking 15

Cloudera

JANUARY 19, 2018

Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. The Power of Machine Learning in Insurance. Fast Forward!

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

Palo Alto Networks

OCTOBER 10, 2019

Today, internet of things (IoT) devices are present in nearly every organization, whether they can be seen on the network or not. Most of these IoT devices are connected to the network but not managed. To mitigate risk, many organizations choose to work with cybersecurity insurers as part of their overall security strategy.

IoT 8

IoT Insurance Artificial Inteligence Programming 8

Openxcell

MARCH 15, 2019

IoT (Internet of Things) Creating Buzz Globally. IoT has become a noteworthy part of our life not only as an individual but as a whole society. Smart TV, Smart Refrigerator, Smart City, everything has become smart, and the credit for that goes to IoT technology. Video Source: theverge.com ). Allows cross-border transactions.

Mobile 80

Mobile Trends Artificial Inteligence Blockchain 80

Openxcell

NOVEMBER 27, 2023

Some of the up-and-coming trends are : Artificial Intelligence (AI) & Machine Learning (ML) Big data, virtual reality, artificial intelligence, machine learning, and chatbots for pharmaceutical firms are no longer futuristic concepts but rather an integral part of our reality.

Development 52

Development Healthcare Artificial Inteligence VR 52

iTexico

OCTOBER 11, 2019

Over the last few years, we have seen an exponential upthrust in the number of platforms, applications, and tools based on machine learning and AI technologies. Scientists and developers have designed intelligent machines that can simulate reasoning and develop knowledge, moving closer to mimicking how humans work. Biased Data.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Trends Machine Learning 67

Kaseya

FEBRUARY 9, 2022

Endpoints include laptops, desktops, tablets, mobile devices, servers, medical devices and IoT devices. The proliferation of smartphones and a growing number of IoT devices being used at work has increased not only the number of endpoints connecting to a company’s network, but also the type of endpoints.

Technical Review 98

Technical Review Technology Disaster Recovery Malware 98

Altexsoft

SEPTEMBER 19, 2023

Demand forecasting with machine learning allows companies to spot the slightest shifts in consumer behavior and predict a probable future demand for a product or service. Read our dedicated article to learn more about demand forecasting methods. That’s where modern analytical methods can help you out.

Travel 52

Travel Analytics Examples Airlines 52

TIBCO - Connected Intelligence

DECEMBER 14, 2021

In its Market Update , Bloor examined several important features to consider when selecting a streaming analytics solution, among them: Support for AI-driven analytics APIs and IoT connectivity Self-service and collaborative capabilities Customer support. Evaluating Streaming Analytics Solutions.

Analytics 26

Analytics Research Technical Review IoT 26

Zensar

JUNE 28, 2019

Connected Intelligence includes all emerging technologies such as Blockchain, IoT, Drones, Mobility, Apps, Cloud, Augmented Reality , Virtual Reality, and Analytics. With the RoD NeXT platform and Connected Intelligence, insurance companies can realize the benefits of the modern assembly line. Application of Connected Intelligence.

Industry 45

Industry Artificial Inteligence Insurance IoT 45

CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

CTOvision

JUNE 15, 2016

Need a primer on marketing terms for Machine Learning? You may want to check this out: Machine Learning for Marketing: Cheat Sheet. Machine Learning for Marketing: Cheat Sheet. Autodesk looks to future with investments in 3D robotic drones and IoT as a service. Charles Hall.

Technology 62

Technology Machine Learning Artificial Inteligence 3D 62

Openxcell

MARCH 15, 2019

IoT (Internet of Things) Creating Buzz Globally. IoT has become a noteworthy part of our life not only as an individual but as a whole society. Smart TV, Smart Refrigerator, Smart City, everything has become smart, and the credit for that goes to IoT technology. Video Source: theverge.com ). Allows cross-border transactions.

Mobile 40

Mobile Trends Artificial Inteligence Blockchain 40

Altexsoft

NOVEMBER 2, 2018

Banks, accounting firms, and insurance companies already utilize this type of technology to streamline the processing of client data. This is all possible through the IoT (Internet of Things) – the concept by which “smart” objects with different capabilities can exchange data among themselves via built-in web connections.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87

Xicom

MAY 15, 2019

When we look at the top app development trends 2019 then we find IoT or Internet of Things to be at the top as this connected device industry is booming right now. But the important things to note here is that all of these IoT devices are controlled and managed by using mobile apps installed on smartphones. Internet of Things.

Mobile 74

Mobile Trends Applications Development 74

Altexsoft

FEBRUARY 24, 2021

Primary use cases: health insurance software, telemedicine platforms, pharmacy management systems. One by one, they’ve launched APIs that help healthcare organizations manage their data and draw insights using the power of analytics, NLP, and machine learning. Public health content APIs. Amazon Comprehend Medical APIs.

Study 75

Study Survey Data Healthcare 75

iTexico

AUGUST 21, 2020

The IoT contributes to vitals tracking, treatment suggestions, built-in emergency response systems, and more. The blend of software and hardware leads to better patient care with IoT app solutions. Using language processing, chatbots, voice recognition, and machine learning present a new unique experience to the healthcare services.

Artificial Inteligence 52

Artificial Inteligence Healthcare Artificial Intelligence Technical Review 52

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. Cloud-enabled use cases like IoT and ML/AI are being used at scale by customers across APAC. . It keeps me going. .

Cloud 103

Cloud Artificial Inteligence CTO Coach Strategy 103

The Parallax

JANUARY 16, 2020

It’s a patented , cloud-based machine-learning system dubbed Raydar that connects to the riders’ phone, and takes input from mobile apps, GPS signals, and traffic cameras to inform riders in real time about current road conditions through color-coded, in-helmet LEDs. 5 questions to ask before buying an IOT device.

Company 49

Company IoT Fractional CTO Telecommunications 49

Datica

OCTOBER 30, 2018

There are other pieces to the data puzzle including genomics, images, and IoT. Today it is a lot of buzzwords like machine learning and precision medicine. Data-driven healthcare is enabled by putting these four pieces of data together: Clinical. What is data-driven healthcare? It is a promise without much practical impact.

Healthcare 40

Healthcare Data IoT Testing 40