Big Data & Analytics - What is it and How does it matter to Insurance?
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This document discusses how big data analytics can help build strategic intelligence in the insurance industry. It provides an overview of big data characteristics, the rise of devices connected to the internet of things, and how ingestible sensors can collect health data from individuals. The document then discusses how insurance companies can collect large amounts of customer, driver, and home usage data from these sources. It introduces concepts of data science, the data value chain, and different types of data analytics including descriptive, diagnostic, predictive, and prescriptive analytics. Examples are given of how predictive policing and claim fraud analysis use big data. The document advocates that insurers apply analytics across various functions and adopt a digital, data-driven organizational model with computer science programs focused
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Future Scenarios by Harish “The Singapore Futurist” Shah, describing outcomes in the health and medicine environment resulting from currently emerging technologies reaching their potential.
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Trends in Information Management
This document contains an annotated bibliography on trends in information security with summaries of 6 sources. The sources discuss topics including biometric authentication alternatives, network integration design, and green computing in the cloud. Each annotation provides a brief summary of the source content and strengths/weaknesses.
DIFFERENCES OF CLOUD-BASED SERVICES AND THEIR SAFETY RENEWAL IN THE HEALTH CA...
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DIFFERENCES OF CLOUD-BASED SERVICES AND THEIR SAFETY RENEWAL IN THE HEALTH CA...
The document discusses the benefits and risks of cloud-based services for healthcare systems. It begins by outlining how cloud computing has enabled new diagnostic technologies and easy access to patient data. However, it also notes security and privacy risks, such as data breaches and unauthorized access. The document then reviews existing literature on revolutionary impacts of cloud solutions, predictive threat analysis using big data, and risk analysis of cloud models. It proposes a methodology for categorizing cloud benefits and risks to help healthcare workers and IT professionals. The methodology aims to securely manage data exchange while addressing challenges like cyberattacks and lack of technical knowledge.
Smart Portal: A Platform for Student's Profile Creation, Evaluation and Clust...
In today's era where almost everything is digitized, even then at the end of the day we have to come across the paperwork when it comes to document submission and verification for any process. As a result, with increased advancement in the technology, easy availability and access of data and documents is the main concern. This project is intended to develop an application based system where student data and documents will be stored on a server and create a smart profile on the basis of student data. Student can also use that data and document anywhere anytime. The main aim is to provide a common application for all parts of education. Where each necessary details and document of a student will be available on one single portal also can be accessible by other higher authorities. Additionally, evaluating the profile and clustering of students can be done for better recommendation.
The Smart Portal system will be useful in document extraction during the admission process as well as it will be used for requirement of details and document of a candidate during interview. Students can upload their data and documents on the server after registration. Then their data will be analysed by the system by evaluating and clustering. This data is retrieved using QR code scanning system or Email verification/ OTP.
January_2024 Top 10 Read Articles in Computer Networks & Communications.pdf
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
11272019 SafeAssign Originality Reporthttpsucumberlan.docx
11/27/2019 SafeAssign Originality Report
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2719.202010 - FALL 2019 - ACCESS CONTROL (ISOL-531-08) - SECOND BI-TERM
Research Paper: IoT Security - Draft
Suma Reddy
on Sun, Nov 24 2019, 10:55 PM
65% highest match
Submission ID: 87817bbd-f9da-43ad-9f99-9f10168b7bbf
Attachments (1)
Reddy_Suma_IoT.docx
1 INTERNET OF THINGS
INTERNET OF THINGS (IOT) SUMA REDDY
2 UNIVERSITY OF CUMBERLANDS
Introduction:
2 INTERNET OF THINGS ALLOWS US TO CONNECT ELECTRONIC AND
EMBEDDED DEVICES AROUND US WITH INTERNET. The detailed answer is given
below. Internet of things is extension of internet connectivity on day to day devices. The
electronic devices can be connected to each other via internet and they can communicate with
each other, even remotely. So this allow us to handle electronic devices without being
physically present near device. As device is connected to internet and you can operate it
remotely using internet too. It allows automation. 2 IT CAN BE HELPFUL IN
MEDICAL AND HEALTHCARE, WHERE DIGITIZED HEALTHCARE SYSTEMS
ARE CREATED AND ALSO ALLOWS REMOTE HEALTH MONITORING AND
EMERGENCY NOTIFICATION ETC. IOT CAN ALSO BE USED IN TRANSPORT,
BUILDING AND HOME AUTOMATION, MANUFACTURING, ENVIRONMENTAL
(http://safeassign.blackboard.com/)
Reddy_Suma_IoT.docx
Word Count: 898
Attachment ID: 2379284715
65%
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11/27/2019 SafeAssign Originality Report
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MONITORING AND MANY MORE FIELDS. (SHARMA, 2016) SECURITY
THREATS AND ISSUES WITH INTERNET OF THINGS:
IT HAS A SECURITY THREAT AND THEY CAN BE HACKED. FOR EXAMPLE,
CAMERAS CAN BE HACKED WHICH CAUSES INVASION OF PRIVACY. As
number of devices grows in an organization and organization uses IOT, the chance of
unprecedented attack increases that hampers security issue of an organization because what
attack over your data and devices you got today that may not be face by the organization
professionals never before. (Sharma, 2016) When digital speakers are turned off, they still use
voice control sometimes to turn back on. So the speakers still have access to any conversations
or any music or noise going on without even user realizing it. This can be used against the user
by hackers.
Data privacy: The Internet of Things represent collection of data, storage and investigation
systems to a more noteworthy scale. 3 THERE ARE AN EVER INCREASING
NUMBER OF DEVICES ASSOCIATED WITH THE INTERNET AND THERE ARE
ADDITIONALLY MORE COMPONENTS THAT REQUIRE SECURITY AND
PRIVACY: THE DEVICE ITSELF, THE SYSTEM, THE APPLICATION OR THE
STAGE THAT IT UTILIZING. 4 (MASUMSADIQUE, 2018) TECHNICAL
VULNERABILITIES IN AUTHENTICATION: 3 THE IOT WORKS WITH
DEVICES OF VARIOUS NATURE THAT WILL BE ASSOCIAT ...
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...
Covid-19 and IoT: Some Perspectives on the Use of IoT Technologies in Prevent...eraser Juan José Calderón
Covid-19 and IoT: Some Perspectives on the Use of
IoT Technologies in Preventing and Monitoring
COVID-19 Like Infectious Diseases & Lessons
Learned and Impact of Pandemic on IoTEmployment Performance Management Using Machine Learning
This document discusses using machine learning techniques to analyze employee performance. Specifically, it proposes using a support vector machine (SVM) algorithm to identify employee performance based on factors like quality, timeliness, and cost. The document reviews related literature on using both traditional and data-driven approaches to performance assessment. It then outlines the proposed system for building a software tool to manage employee performance data using SVM. Key steps in the SVM algorithm are described. The document concludes that improving individual performance can boost business results and SVM is effective for differentiating between two groups of data.
Fingerprint based exam attendance system
Problems of Academic staff and Students Attendance
Result in inaccuracies and security risks like proxy attendance.
Manual processes burden institutions with administrative tasks and paperwork.
Attendance Marking Taken on Paper
Records on Paper
Time Consuming
Examiner gets problem while getting attendance
Need for an Efficient and Secure Solution:
Demand for a system that prevents proxy attendance and reduces admin workload.
Accurate attendance records.
Paperless workflow
Less Time to mark Attendance
Advanced Biometric Technology as a Solution:
Uses biometrics to authenticate students seamlessly.
Ensures precise attendance records and eliminates proxy attendance.
Promotes a relaxed exam environment, enhancing overall experience.
Focus on Fingerprint Technology: The title aligns with the core concept by emphasizing the utilization of advanced biometric technology (fingerprint scans) as a key feature of the attendance system.
Enhanced Accuracy and Future-Proof: The title indirectly supports the content's focus on enhanced accuracy and the system's ability to adapt to future advancements, as suggested by the "future-proof" aspect.
Precise and Secure Attendance: The content emphasizes the system's ability to ensure accurate and secure attendance verification, directly connecting to the title's mention of "precise and secure attendance."
Stress Reduction and Student Satisfaction: The title corresponds to the content's mention of stress reduction, improved student satisfaction, and efficiency enhancement, all of which contribute to the positive impact of the system.
Seamless Identity Authentication: Enable students to authenticate their identities through a quick and seamless fingerprint scan, connecting their profiles with registered fingerprint databases.
Enhance Educational Efficiency: Enable educational institutions to effectively manage their academic tasks by reducing administrative burdens related to paperwork and manual record-keeping.
Save Time in Verification: Streamline the process of attendance verification during exams, saving time for both students and administrative staff.
Improve Student Experience: Create a user-friendly system that reduces stress and anxiety among students by simplifying attendance verification, ultimately enhancing student satisfaction.
Future-Proof and Real-Time Updates: Develop a system that is adaptable to future technological advancements and capable of providing real-time updates for attendance records.
Here are some advantages of a fingerprint-based exam attendance system:
Accuracy: Fingerprint recognition is highly accurate and difficult to fake, reducing the risk of attendance fraud.
Non-intrusive: It is a non-invasive method that does not require students to carry cards or remember PINs.
Time Efficiency: The process of capturing and verifying attendance is quick, saving time for both instructors and students.
Security: Fingerprint data is unique to each individual and is typically enc
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The document describes a proposed virtual assistant for medical emergencies using IoT. The system would involve a wearable device like a wristband with sensors to monitor vital signs. If the signs indicate a medical emergency, the device would alert emergency services and provide the patient's medical history. It would also notify family members. The system aims to reduce response times in medical emergencies to improve outcomes. Key challenges include accurately detecting emergencies, secure data transmission, and avoiding false alarms. The proposed solution involves continuous health monitoring, emergency detection and response, automatic medical history access in emergencies, and location tracking to direct responders.
Ai recent trends in technology v3
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Sudharmendra's Resume_02.pdf
AboutAbout
As a Machine Learning Engineer, I am enthusiastic about exploring the fascinating field of machine learning and its potential applications in solving real-world problems. I have a good amount of knowledge in mathematics, statistics, and computer science, which enables me to understand and implement the fundamental concepts and techniques of machine learning.
My experience includes working with various data analytics tools and technologies, such as SQL, Python, Tableau, and Power BI. I have developed expertise in data cleaning and exploratory data analysis, statistical inference, and machine learning techniques such as regression, and clustering, my experience also includes working with a variety of machine learning tools and frameworks, including, Scikit-learn, TensorFlow and Keras. I have also developed expertise in data pre-processing, feature engineering, and model selection, which has enabled me to create robust and accurate machine-learning models.
I am eager to expand my knowledge and expertise in machine learning research and AI-related fields. I am a quick learner, and I am always willing to take on new challenges and stretch myself to develop new skills. Furthermore, I am a good communicator and collaborator, able to work effectively in a team and learn from more experienced colleagues.
I am excited about the potential of machine learning to create positive change and improve people's lives specifically in Health Care industries. I am committed to staying up-to-date with the latest developments in machine learning and related fields, attending conferences and workshops, and engaging in continuous learning. I am eager to apply my skills and experience to solve complex problems and create value for organizations.
https://www.linkedin.com/in/sudharmendra-gv-7214361b2/
Machine Learning EngineerMachine Learning Engineer
Longevity InTime BioTech · Part-timeLongevity InTime BioTech · Part-time
Nov 2022 - Present · 6 mosNov 2022 - Present · 6 mos
Wilmington, Delaware, United StatesWilmington, Delaware, United States
Longevity Intime is a company developing online technology, which enables early diagnosis of diseases using real-time biometrics from the human body.
The Longevity InTime team includes experienced biotechnologists, award-winning scientists, developers, and experienced executives with years of experience. Together we are solving the global problem of life expectancy for each person and for all mankind.
Our goal is to extend a person's life by more than 20 active and happy years without any restrictions to him. We respond to both the personal and public interests of every country on Earth.Longevity Intime is a company developing online technology, which enables early diagnosis of diseases using real-time biometrics from the human body. The Longevity InTime team includes experienced biotechnologists, award-winning scientists, developers, and experienced executives with years of experience.
IRJET- Medicine Information Retrieval Application- Pharmaguide
This document describes an Android-based mobile application called PharmaGuide that allows users to retrieve information about medicines. The application's key features include allowing users to scan images of medicines using optical character recognition to obtain the name, usage, and side effects from a database. It also enables users to purchase medicines online that will be delivered to their homes. The application was developed using Android Studio and utilizes a SQL database to store medicine information. It aims to make it more convenient for people to learn about medicines and order them in one centralized mobile application.
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- 16. WHAT CAN WE COLLECT FROM THESE SENSORS? Customers’ Information • Preferences, Activities & Habits, Hobbies, Important Events, Health, Friends Drivers’ Information • Driving Behaviors, Time on the Road, Frequent Visiting Places, Car Information Homes’ Information • Usages Information, Security Status, Owners’ Behaviors But, we are talking about MASSIVE AMOUNT OF DATA
- 17. Data Science (Data Analytics) Data Engineering (Big Data)
- 18. DATA VALUE CHAIN Source: http://steinvox.com/blog/big-data-and-analytics-the-analytics-value-chain/
- 19. DATA ANALYTICS SIMPLIFIED Descriptive • “A.Natawut drinks about 1 cup of coffee a day” Diagnostic • “Number of cups that A.Natawut drinks depend on number of meetings he has each day” Predictive • “Tomorrow, A.Natawut has 2 meetings, it is very likely that A.Natawut will drink 2 cups tomorrow” Prescriptive • “Inform secretary to prepare 1 cup in the morning and one in the afternoon for A.Natawut”
- 20. TYPES OF DATA ANALYTICS
- 22. CASE STUDY: PREDICTIVE POLICING Being used by 60 cities in the US e.g. Atlanta, LA, etc. Source: http://www.forbes.com/sites/ellenhuet/2015/02/11/predpol-predictive-policing
- 25. Source: Capgemini, “The Disruptive Impact of Big Data and Analytics in Insurance”, June 2015 BIG DATA ANALYTICS AND CLAIM FRAUD ANALYSIS
- 26. SURVEY: FUNCTIONS IN WHICH INSURERS APPLY DATA ANALYTICS?
- 27. Digital Data Driven Organization
- 28. CS PROGRAM Architecture Track • Map/Reduced • In-Memory Processing • Cloud Computing • Mobile and Networks Analytics Track • Machine Learning • Data Mining • Big Data Analytics • Social Network Analysis