This document discusses customer relationship management (CRM) strategies in the airline industry. It explains that CRM aims to acquire new customers, grow existing customers, and retain valuable customers. Data mining and analysis are important for airline CRM to understand customer behavior. The document also outlines e-CRM systems that allow airlines to manage customer relationships online. Specific benefits of implementing a CRM strategy for airlines include improved marketing and service. Challenges include overcoming obstacles like lack of data sharing between departments.
My presentation at The Richmond Data Science Community (Jan 2018). The slides are slightly different than what I had presented last year at The Data Intelligence Conference.
presentation on recent data mining Techniques ,and future directions of research from the recent research papers made in Pre-master ,in Cairo University under supervision of Dr. Rabie
Data Mining: What is Data Mining?
History
How data mining works?
Data Mining Techniques.
Data Mining Process.
(The Cross-Industry Standard Process)
Data Mining: Applications.
Advantages and Disadvantages of Data Mining.
Conclusion.
My presentation at The Richmond Data Science Community (Jan 2018). The slides are slightly different than what I had presented last year at The Data Intelligence Conference.
presentation on recent data mining Techniques ,and future directions of research from the recent research papers made in Pre-master ,in Cairo University under supervision of Dr. Rabie
Data Mining: What is Data Mining?
History
How data mining works?
Data Mining Techniques.
Data Mining Process.
(The Cross-Industry Standard Process)
Data Mining: Applications.
Advantages and Disadvantages of Data Mining.
Conclusion.
Ensemble Learning is a technique that creates multiple models and then combines them to produce improved results.
Ensemble learning usually produces more accurate solutions than a single model would.
Data Mining, KDD Process, Data mining functionalities, Characterization,
Discrimination ,
Association,
Classification,
Prediction,
Clustering,
Outlier analysis, Data Cleaning as a Process
Exploratory data analysis data visualization:
Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (mostly graphical) to
Maximize insight into a data set.
Uncover underlying structure.
Extract important variables.
Detect outliers and anomalies.
Test underlying assumptions.
Develop parsimonious models.
Determine optimal factor settings
This presentation gives the idea about Data Preprocessing in the field of Data Mining. Images, examples and other things are adopted from "Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei "
In this presentation, let's have a look at What is Data Science and it's applications. We discussed most common use cases of Data Science.
I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
What Is Data Science? | Introduction to Data Science | Data Science For Begin...Simplilearn
This Data Science Presentation will help you in understanding what is Data Science, why we need Data Science, prerequisites for learning Data Science, what does a Data Scientist do, Data Science lifecycle with an example and career opportunities in Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. The demand for data scientists is high, and the number of opportunities for certified data scientists is increasing. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.
This Data Science Presentation will cover the following topics:
1. Need for Data Science?
2. What is Data Science?
3. Data Science vs Business intelligence
4. Prerequisites for learning Data Science
5. What does a Data scientist do?
6. Data Science life cycle with use case
7. Demand for Data scientists
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields
This lecture gives various definitions of Data Mining. It also gives why Data Mining is required. Various examples on Classification , Cluster and Association rules are given.
This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques
Ensemble Learning is a technique that creates multiple models and then combines them to produce improved results.
Ensemble learning usually produces more accurate solutions than a single model would.
Data Mining, KDD Process, Data mining functionalities, Characterization,
Discrimination ,
Association,
Classification,
Prediction,
Clustering,
Outlier analysis, Data Cleaning as a Process
Exploratory data analysis data visualization:
Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (mostly graphical) to
Maximize insight into a data set.
Uncover underlying structure.
Extract important variables.
Detect outliers and anomalies.
Test underlying assumptions.
Develop parsimonious models.
Determine optimal factor settings
This presentation gives the idea about Data Preprocessing in the field of Data Mining. Images, examples and other things are adopted from "Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber and Jian Pei "
In this presentation, let's have a look at What is Data Science and it's applications. We discussed most common use cases of Data Science.
I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
It is an introduction to Data Analytics, its applications in different domains, the stages of Analytics project and the different phases of Data Analytics life cycle.
I deeply acknowledge the sources from which I could consolidate the material.
What Is Data Science? | Introduction to Data Science | Data Science For Begin...Simplilearn
This Data Science Presentation will help you in understanding what is Data Science, why we need Data Science, prerequisites for learning Data Science, what does a Data Scientist do, Data Science lifecycle with an example and career opportunities in Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. The demand for data scientists is high, and the number of opportunities for certified data scientists is increasing. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.
This Data Science Presentation will cover the following topics:
1. Need for Data Science?
2. What is Data Science?
3. Data Science vs Business intelligence
4. Prerequisites for learning Data Science
5. What does a Data scientist do?
6. Data Science life cycle with use case
7. Demand for Data scientists
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields
This lecture gives various definitions of Data Mining. It also gives why Data Mining is required. Various examples on Classification , Cluster and Association rules are given.
This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques.This course is all about the data mining that how we get the optimized results. it included with all types and how we use these techniques
Municipal
13 Teams
__
Average talent teams that get along well with each other are more productive than gifted teams that don’t get along. It doesn’t matter how well a team with low emotional intelligence is in control of the numbers. They can’t even decide what to try to do.
14 Stress
___
Difficulties at work and in our relationships put us under stress. Stress makes it difficult for us to find solutions to problems. When we can’t find solutions to problems, we get more stressed. To get rid of this dead end, we need to know how to manage our stressful situations.
15 Marriage
____
The secret of long and happy marriages is sincerity in your feelings. If your marriage was not built on this basis of intimacy from the very beginning, it will begin to crack over the years. Even small problems become unsolvable. You have to be emotionally open at the beginning of the road.
16 Leadership
______
Leadership does not mean dominance. Leading your colleagues to a common goal and making them believe in the reality of this purpose. Successful leaders are those who can keep their team’s motivation alive for many years. You have to make them desire the work to be done.
17. Emotions Are All Normal
___
Anger, hatred, love, happiness… You can understand when and under what circumstances these feelings will emerge by following yourself. You may have these feelings depending on how you interpret the events you encounter. The important thing is to be able to react independently of your feelings. You may find yourself making promises that you cannot keep because you are happy, or you may resort to violence when you are angry.
18/ Being able to Express Your Emotions
____
Not everyone’s level of empathy can be very good. You may be in a difficult situation immediately. You may feel bad, but people may not understand it. In these situations, you may need to express your feelings a little more directly.
19/You Are Not Your Emotions
______
Keep doing what you need to do, no matter how you feel. Success is achieved by people who cannot give up no matter what their feelings and thoughts are. Don’t let your feelings affect your actions.
20/ Timing
__
As soon as you feel a different emotion, try to think before you act. Because emotional intelligence moves faster than rational intelligence, it can make you act irrationally and make you say any unnecessary words.
Thanks for reading
~ 𝗧𝗼𝗻𝗴𝘀𝗮 𝗚𝘂𝘆
Book:- https://amzn.to/3XsVTz2.13 Teams
__
Average talent teams that get along well with each other are more productive than gifted teams that don’t get along. It doesn’t matter how well a team with low emotional intelligence is in control of the numbers. They can’t even decide what to try to do.
14 Stress
___
Difficulties at work and in our relationships put us under stress. Stress makes it difficult for us to find solutions to problems. When we can’t find solutions to problems, we get more stressed. To get rid of this dead end, we need to know how to manage our st
13 Teams
__
Average talent teams that get along well with each other are more productive than gifted teams that don’t get along. It doesn’t matter how well a team with low emotional intelligence is in control of the numbers. They can’t even decide what to try to do.
14 Stress
___
Difficulties at work and in our relationships put us under stress. Stress makes it difficult for us to find solutions to problems. When we can’t find solutions to problems, we get more stressed. To get rid of this dead end, we need to know how to manage our stressful situations.
15 Marriage
____
The secret of long and happy marriages is sincerity in your feelings. If your marriage was not built on this basis of intimacy from the very beginning, it will begin to crack over the years. Even small problems become unsolvable. You have to be emotionally open at the beginning of the road.
16 Leadership
______
Leadership does not mean dominance. Leading your colleagues to a common goal and making them believe in the reality of this purpose. Successful leaders are those who can keep their team’s motivation alive for many years. You have to make them desire the work to be done.
17. Emotions Are All Normal
___
Anger, hatred, love, happiness… You can understand when and under what circumstances these feelings will emerge by following yourself. You may have these feelings depending on how you interpret the events you encounter. The important thing is to be able to react independently of your feelings. You may find yourself making promises that you cannot keep because you are happy, or you may resort to violence when you are angry.
18/ Being able to Express Your Emotions
____
Not everyone’s level of empathy can be very good. You may be in a difficult situation immediately. You may feel bad, but people may not understand it. In these situations, you may need to express your feelings a little more directly.
19/You Are Not Your Emotions
______
Keep doing what you need to do, no matter how you feel. Success is achieved by people who cannot give up no matter what their feelings and thoughts are. Don’t let your feelings affect your actions.
20/ Timing
__
As soon as you feel a different emotion, try to think before you act. Because emotional intelligence moves faster than rational intelligence, it can make you act irrationally and make you say any unnecessary words.
Thanks for reading
~ 𝗧𝗼𝗻𝗴𝘀𝗮 𝗚𝘂𝘆
Book:- https://amzn.to/3XsVTz2..
The Ultimate How-To CRM Guide is the document that you need to make your decision between cloud-computing technology and on-premises. We call it "Ultimate" because it is the Ultimate How-To CRM Guide, the "Must-have" Guide :)
CRMNEXT enables a digital platform empowered with AI driven digital journeys and processes that makes managing risk and serving customers immensely rewarding. Insurers can easily manage leads, resolve claims quickly, provide excellent customer serviceand personalize communication with clients in a single platform.
This PowerPoint presentation provides an in-depth overview of Customer Relationship Management (CRM) software. Explore its features, benefits, and implementation strategies for effective customer management and improved business performance.
How to Achieve World Class Customer Experience through Insightful IT Bobhallahan
An amazing overview of how some of the Worlds top companies are achieving awesome customer experience through ingenious IT and brilliant Data intelligence, resulting in massive customer loyalty, repeat business monetization and sky high profits.
Telecom Billing's evolving role in post pc eraEhtisham Rao
With OTT proliferation in the mobile business, telecom operators are struggling to redefine the value of their services for operators. Business models abound, billing remains a key opportunity area for telecoms. this talk covers high level telecom interventions related to billing and their evaluation as source of sustainable competitive advantage.
Specialized CRM module for the automotive dealer management system. It integrates to Proactive DMS to provide customers with all necessary handling of pre-sales and after sales activities related to car sales and after sales business.
Mmmmm
13 Teams
__
Average talent teams that get along well with each other are more productive than gifted teams that don’t get along. It doesn’t matter how well a team with low emotional intelligence is in control of the numbers. They can’t even decide what to try to do.
14 Stress
___
Difficulties at work and in our relationships put us under stress. Stress makes it difficult for us to find solutions to problems. When we can’t find solutions to problems, we get more stressed. To get rid of this dead end, we need to know how to manage our stressful situations.
15 Marriage
____
The secret of long and happy marriages is sincerity in your feelings. If your marriage was not built on this basis of intimacy from the very beginning, it will begin to crack over the years. Even small problems become unsolvable. You have to be emotionally open at the beginning of the road.
16 Leadership
______
Leadership does not mean dominance. Leading your colleagues to a common goal and making them believe in the reality of this purpose. Successful leaders are those who can keep their team’s motivation alive for many years. You have to make them desire the work to be done.
17. Emotions Are All Normal
___
Anger, hatred, love, happiness… You can understand when and under what circumstances these feelings will emerge by following yourself. You may have these feelings depending on how you interpret the events you encounter. The important thing is to be able to react independently of your feelings. You may find yourself making promises that you cannot keep because you are happy, or you may resort to violence when you are angry.
18/ Being able to Express Your Emotions
____
Not everyone’s level of empathy can be very good. You may be in a difficult situation immediately. You may feel bad, but people may not understand it. In these situations, you may need to express your feelings a little more directly.
19/You Are Not Your Emotions
______
Keep doing what you need to do, no matter how you feel. Success is achieved by people who cannot give up no matter what their feelings and thoughts are. Don’t let your feelings affect your actions.
20/ Timing
__
As soon as you feel a different emotion, try to think before you act. Because emotional intelligence moves faster than rational intelligence, it can make you act irrationally and make you say any unnecessary words.
Thanks for reading
~ 𝗧𝗼𝗻𝗴𝘀𝗮 𝗚𝘂𝘆
Book:- https://amzn.to/3XsVTz2.
13 Teams
__
Average talent teams that get along well with each other are more productive than gifted teams that don’t get along. It doesn’t matter how well a team with low emotional intelligence is in control of the numbers. They can’t even decide what to try to do.
14 Stress
___
Difficulties at work and in our relationships put us under stress. Stress makes it difficult for us to find solutions to problems. When we can’t find solutions to problems, we get more stressed. To get rid of this dead end, we need to know how to manage our stress
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. Data mining ( knowledge discovery in database)
Extraction of interesting (non-trivial, implicit, previously unknown and potentially
useful) Information or patterns from data in large databases.
Alternative Names
A misnomer
Knowledge discovery database (KDD)
what is not Data Mining
Query process
Expert systems or small statistical programs
WHAT IS DATA MINING
3. Database analysis and decision support
Market analysis and management
Target marketing, Customer relationship Management, market basket analysis, cross selling, market segmentation
Risk analysis and Management
Forecasting , customer Retention, improve underwriting, quality control, competitive analysis
Other applications
Text mining
Stream data mining
Web mining
DNA data analysis
WHY DATA MINING ?
13. In the competitive travel industry, customer satisfaction no longer guarantees
customer loyalty . Deregulation, increased parity of products , the availability of
new and diverse direct distribution channels, industry alliances, and many other
factors have combined to force operators in the airline industry to focus on new
differentiators in order to maintain current and develop greater market share .
In response to the new environment, travel providers are undertaking
initiatives centered on identifying, developing and retaining high value profitable
customers, under the overall banner of customer relationship management or
CRM.
14. CRM is a business strategy designed to optimize profitability, revenue and customer satisfaction
To achieve this integration of people, processes and technologies is required in a collective effort to:
1. Acquire new customers through effective marketing campaigns and marketing analysis
2. Grow existing customer base through expanded service offerings that target untapped travel
opportunities
3. Retain most valuable customers by understanding and proactively addressing individual values and
preferences.
WHAT IS CRM
15. Today , more and more airlines are using the Internet to implement e-business applications and CRM
strategy. These applications can be very resource intensive. e-CRM is interest intensified in managing
customer relationship through the Internet.
Establishing and strengthening long-term relationships with airline's customers is the key to success. It's
the focus of a well-structured and coordinated process of customer relationship management.
e-CRM involves far more than automating processes in sales, marketing, and service and then increasing
the efficiency of these processes. It involves conducting interactions with customers on a more informed
basis and individually tailoring them to customers' needs
E-CRM IN AIRLINE
16. There are three primary reasons why CRM has taken hold as rapidly as it has:
1. Competition is fierce;
2. The economics of customer retention are unequivocal;
3. Technology allows airlines to do this more effectively and profitably today.
WHY CRM
17. Planning and implementing business processes across airlines and CRM applications ensures customers are
handled in the most efficient and effective fashion from the beginning to the end of the interaction based on
their real-time value to airlines.
Implementing CRM applications may simultaneously lower the cost of design, implementation, installation,
training, ownership and administration. It also reduces the risk of re-engineering systems at a later date.
Consistent and dynamic processes are built up-front for the customer. This forces the airline to consider each
element in the process design including the network, switch, multi-media management, and the CRM -
ensuring streamlined processes are in place before the customer makes contact.
Create and leverage detailed statistics/metrics and cradle-to-grave reports.
SPECIFIC BENEFITS
TO IMPLEMENTING
A CRM STRATEGY
18. Individual traveler
The travelers company
The person or entity paying for the ticket
The person choosing the airline
The travel agent
Corporate customers
Cargo brokers
WHO IS THE CUSTOMER?
19. The E-mail was responded to immediately, with personalized, valuable information.
Web self-service allowed customer to take immediate action to resolve issue.
Personalization enabled promotion tailored to customer profile - enhancing one-to-one marketing.
The "callback" option was easy to use, enabling the customer to quickly request live support.
The intelligent interaction routing engine immediately connected the customer to the right CSR.
The customer information provided by the CRM application enabled the CSR to provide efficient,
personalized service
BENEFITS FOR THE CUSTOMER
20. Lack of buy-in across the business
Department customer data silos
Unwilling to share
Business processes not mature /clear
Couldn’t reach all touch points
- sales reservations), check in, in-flight were particular problem
OBSTACLES TO CRM
21. In the airline industry , data analysis and data mining are a prerequisite to push customer relationship
management ahead.
Application of data mining in airline business is to work for developing a monitoring system , which is
able to identify trends within customer segments, to discover outliers and to control the quality of the
segmentation model.
Data mining customer value can be improved while considering operational costs in assessing a flight
segment. There is an accounting system, where all kinds of costs are gathered. This information is
available for each single flight. Its task is to find strategies to bundle information about flight activities of
all customers
TOOLS AND TECHNIQUES USED IN
AIRLINE CRM
23. • Provides an understanding of customer behavior and enables airlines to measure results of marketing
and merchandising changes.
• Supports more effective promotions through integration of data between marketing and merchandising
users.
• Provides a single view of customers across the enterprise and across contact points.
• Gives airlines the ability to respond more dynamically and quickly to market demands.
Significance derived from airline e-CRM implementation will allow for new e-business model, based on
the wide availability of information and its direct distribution to end-customers.
CONT…
24. • Directly connect airlines and passengers.
• Support fully digital information exchange between airlines and customers, reduced cost of a customer
contact.
• Suppress time and place limits.
• Support interactivity and therefore can dynamically adapt to customer behaviors.
• To be able to satisfy customers' need, build customer confidence and retention.
• Can be updated in real-time, therefore always up-to-date.
• Enhance airlines competitive advantages over its rivals.
• Profitable and sustainable revenue growth.
CONT…
25. Targeted promotions & campaigns
Leverage existing modules(distressed inventory, dynamic pricing )for acquisition & retention
Availability bias based on existing Revenue Management system
Performance measures to provide feedback
Link to operations- pre- removal & re-accommodation for overbooked flights
CRM : SHORT TERM GOALS
26. Business intelligence module to provide passenger valuation
Revenue management optimization models to consider maximizing expected “value”
Nonlinear programming problem with modified objective function
Stochastic dynamic programming problem
Tracking passenger utility
Pricing and inventory control decisions should consider changes to passenger utility
CRM : LONG TERM GOALS
27. 5 membership tiers –
Platinum
Gold
Silver
Blue plus
Blue
The Dynamic tier ( DTR) system:
DTR evaluates a member Tier based on Tier points and tier JP miles gram of Jet Airways: Jet Privilege
"JET PRIVILEGE"- CUSTOMER LOYALTY
PROGRAM
28. Facility:
Tele check-in
Web check in
Priority tagging
Additional baggage allowance
Guaranteed reservations upto 24 hrs prior to departure
Special partner benefits etc.
THE LOYALTY PROGRAM OF JET AIRWAYS---
29. Airlines realize that an integrated e-CRM strategy will allow them to manage customer
relationships more effectively than ever before, allowing them to build long-term customer
relationships, brand loyalty and repeat sales that result in increased, sustained profitability. The
challenge is how to overcome hurdles, minimize the risk and guarantee results..
The end result is a better bottom line-successful e-CRM can mean millions of dollars in
incremental revenue from increased customer retention, greater revenue per customer, the
ability to cross-sell and up-sell customers, better customer loyalty and greater customer
satisfaction.
CONCLUSION