In airline environments, information is collected for archival and historical purposes from a wide variety of sources.This creates a repository of data that is, perhaps, the most valuable asset for an airline. However, the challenges of managing and extracting information to aid an airline is increasingly difficult to resolve due to customer centricity. Siloed databases / data marts and the information they contain are typically bound to the software subsystem within an enterprise’s application, computing platform, or IT environment. To complicate matters, as businesses implement new, dissimilar technologies, the problems of inconsistency increase. The result is isolation.
APIS - Analytical Port Information System - a set of methods and software components to support the analytical, monitoring, publishing, controlling work and business development.
http://apis.paradigma.net/
Digital readiness for customer experience in the airline industry - AccentureAccenture ASEAN
Most airlines have a clear vision for using digital technology to improve customer experience. But they lack the know-how and talent to bring the vision to life.
This Accenture report examines the disruptive impact of digital technology on the airline industry with a focus on customer experience.
The findings are based on in-depth interviews with 25 airline senior executives throughout the world.
The whitepaper is an attempt to introduce the reader to the benefits and development of a functional ‘Customer Value Scoring’ framework. The framework would help airlines draw valuable conclusions – for instance, a customer with significant realized revenue but low future estimated revenue can be identified as one who is taking the airlines business elsewhere. Likewise, a customer who consistently books the same flight segment at equal intervals would appreciate being recognized and being enrolled in a rewards program which lets them enjoy privileged status, thereby assuring their loyalty.
The Customer Value Score has the potential to introduce exciting new possibilities about how Airlines and other Travel organizations evaluate and treat their customers.
Leveraging Advanced Analytics to Drive Customer Behavior in the Airline IndustryCognizant
Airlines can use advanced analytics as a competitive lever by increasing their understanding of customer behavior patterns, identifying cost-optimized ways of serving customers and enhancing opportunities for revenue generation and loyalty among existing and potential customers.
Unified Customer View for Airline BusinessesVeer Endra
Plumb5 Implementation can help achieve the rich customer experience mandate, as it is important to work on holistic customer data to build relevant experiences by integrating
customer behavior data across all channels.
APIS - Analytical Port Information System - a set of methods and software components to support the analytical, monitoring, publishing, controlling work and business development.
http://apis.paradigma.net/
Digital readiness for customer experience in the airline industry - AccentureAccenture ASEAN
Most airlines have a clear vision for using digital technology to improve customer experience. But they lack the know-how and talent to bring the vision to life.
This Accenture report examines the disruptive impact of digital technology on the airline industry with a focus on customer experience.
The findings are based on in-depth interviews with 25 airline senior executives throughout the world.
The whitepaper is an attempt to introduce the reader to the benefits and development of a functional ‘Customer Value Scoring’ framework. The framework would help airlines draw valuable conclusions – for instance, a customer with significant realized revenue but low future estimated revenue can be identified as one who is taking the airlines business elsewhere. Likewise, a customer who consistently books the same flight segment at equal intervals would appreciate being recognized and being enrolled in a rewards program which lets them enjoy privileged status, thereby assuring their loyalty.
The Customer Value Score has the potential to introduce exciting new possibilities about how Airlines and other Travel organizations evaluate and treat their customers.
Leveraging Advanced Analytics to Drive Customer Behavior in the Airline IndustryCognizant
Airlines can use advanced analytics as a competitive lever by increasing their understanding of customer behavior patterns, identifying cost-optimized ways of serving customers and enhancing opportunities for revenue generation and loyalty among existing and potential customers.
Unified Customer View for Airline BusinessesVeer Endra
Plumb5 Implementation can help achieve the rich customer experience mandate, as it is important to work on holistic customer data to build relevant experiences by integrating
customer behavior data across all channels.
Virgin America's frequent-flyer population of 1.8 million is not only the industry's fastest growing - climbing at over 40% a year - they are also the most engaged. Virgin America's Elevate members spend 25% more with the airline than non-members, while nearly half have been active within the past 12 months compared to the industry norm of 33 percent. And how's this for devotion: a full 20% of Virgin America's loyalty members don't even live in cities served by the airline.
Watch the Director of CRM explain how:
http://forms.loyaltylab.com/vod_virginamerica
The Overview on Sales & Marketing Activities in Biman Bangladesh AirlinesAbu Shadath Shaibal
The main objective of the report to overview sales & marketing activities in different type of marketing strategies in Biman Bangladesh Airlines. As well as some knowledge
regarding of overall operation of Biman Bangladesh Airlines. And the secondary objectives are which I work in different marketing department:
To understand Biman’s marketing policy
To know the functions of Market Research section
To get the idea from where tariff apply in different station of Biman
To know the reservation policy
To know the way cargo generate profit to the Biman
Specifically for IBAAS students. Airline Passenger Marketing methods, processes and strategies considered.
Institute of Business Administration & Aviation Sciences
7Ps of marketing are essential part of strategy implementation of any company.Airline industry clearly fits in 7P's of marketing as it includes product and services.For more contact http://myassignmentexpert.com
Big Data Analytics for Commercial aviation and AerospaceSeda Eskiler
globalaviationaerospace.com
An opportunity for insight in the changing commercial aerospace business
Vision for New Applications of Analytic Insight in Commercial Aerospace
Benefit of Big Data Analytics for the Airline Operator
Modern, Mobile Experience
Big Data Analytics In Action
Predictive Analytics To Prevent Engine Events
Predictive Analytics Improves Safety and Quality
Predictive Analytics Keeps More Planes in the Air
AirSensus is a SaaS platform leveraging operating data of an airline company in order to minimise their direct operating costs and optimise their operations.
Presentation of the paper:
"Optimizing Email Marketing Campaigns in the Airline Industry using Knowledge Graph Embeddings". This paper has been accepted in the Knowledge Management in e-Commerce Workshop held in conjunction with the Web Conference 2021.
Analytics applications are designed to measure, predict, and optimize business performance; they are used to analyze specific data related to particular aspects of a business. This paper discusses how Pivotal CRM Analytics can help companies across a range of industries improve their effectiveness through practical, low-cost CRM analytics applications.
Business Situation
The research data is made available to the clientele of Transformanz through a subscription model. Tranformanz used to deliver the content on the internet through a website that used a content management system called Joomla. The data content and data visualizations were built manually and were static, which implied that more amount of attention needed to be paid to update information. This made the process long and tedious. Moreover, the application and process was not scalable in terms of handling the growth in number of users and data.
Airline and Airport Big Data: Impact and EfficienciesJoshua Marks
Keynote presentation at Routes 2014 in Chicago - how big data changes aviation efficiencies, and what airlines and airports need to know about cloud data warehouses, real-time integration and predictive analytics.
Virgin America's frequent-flyer population of 1.8 million is not only the industry's fastest growing - climbing at over 40% a year - they are also the most engaged. Virgin America's Elevate members spend 25% more with the airline than non-members, while nearly half have been active within the past 12 months compared to the industry norm of 33 percent. And how's this for devotion: a full 20% of Virgin America's loyalty members don't even live in cities served by the airline.
Watch the Director of CRM explain how:
http://forms.loyaltylab.com/vod_virginamerica
The Overview on Sales & Marketing Activities in Biman Bangladesh AirlinesAbu Shadath Shaibal
The main objective of the report to overview sales & marketing activities in different type of marketing strategies in Biman Bangladesh Airlines. As well as some knowledge
regarding of overall operation of Biman Bangladesh Airlines. And the secondary objectives are which I work in different marketing department:
To understand Biman’s marketing policy
To know the functions of Market Research section
To get the idea from where tariff apply in different station of Biman
To know the reservation policy
To know the way cargo generate profit to the Biman
Specifically for IBAAS students. Airline Passenger Marketing methods, processes and strategies considered.
Institute of Business Administration & Aviation Sciences
7Ps of marketing are essential part of strategy implementation of any company.Airline industry clearly fits in 7P's of marketing as it includes product and services.For more contact http://myassignmentexpert.com
Big Data Analytics for Commercial aviation and AerospaceSeda Eskiler
globalaviationaerospace.com
An opportunity for insight in the changing commercial aerospace business
Vision for New Applications of Analytic Insight in Commercial Aerospace
Benefit of Big Data Analytics for the Airline Operator
Modern, Mobile Experience
Big Data Analytics In Action
Predictive Analytics To Prevent Engine Events
Predictive Analytics Improves Safety and Quality
Predictive Analytics Keeps More Planes in the Air
AirSensus is a SaaS platform leveraging operating data of an airline company in order to minimise their direct operating costs and optimise their operations.
Presentation of the paper:
"Optimizing Email Marketing Campaigns in the Airline Industry using Knowledge Graph Embeddings". This paper has been accepted in the Knowledge Management in e-Commerce Workshop held in conjunction with the Web Conference 2021.
Analytics applications are designed to measure, predict, and optimize business performance; they are used to analyze specific data related to particular aspects of a business. This paper discusses how Pivotal CRM Analytics can help companies across a range of industries improve their effectiveness through practical, low-cost CRM analytics applications.
Business Situation
The research data is made available to the clientele of Transformanz through a subscription model. Tranformanz used to deliver the content on the internet through a website that used a content management system called Joomla. The data content and data visualizations were built manually and were static, which implied that more amount of attention needed to be paid to update information. This made the process long and tedious. Moreover, the application and process was not scalable in terms of handling the growth in number of users and data.
Airline and Airport Big Data: Impact and EfficienciesJoshua Marks
Keynote presentation at Routes 2014 in Chicago - how big data changes aviation efficiencies, and what airlines and airports need to know about cloud data warehouses, real-time integration and predictive analytics.
Advanced Topics In Business Intelligenceguest1a9ef2
The blurring of the line between decision support systems and operational systems because of real-time warehousing, the use of Enterprise Information Integration (EII), and closed- loop business processes
Data Warehousing Fuses With Data Visualization To Solve Key Problems of Enter...Kavika Roy
https://www.datatobiz.com/blog/data-visualization/
Data is not just any simple random collection of information anymore, rather, an influential insight that can convert into a monetary form if used properly. As a result of such an influence, many corporations have been managing data warehouses powered by DW-a-a-S (Data Warehouse As a Service) to keep important information coming from multiple sources in one common region termed as data warehouse. These relevant chunks of information are refined and processed for better use and application . As data delivers value to the organization through data visualization, it significantly influences in;
Optimizing business processes within the organization
Increasing operational efficiency
Identifying Market Trends
Driving New Revenues
Forecasting upcoming probabilities and trends for Market Competence
But the role further transcends when data visualization fuses with data warehousing to provide real-time leverage and value to the enterprises. But before we delve deeper and explain the correlation between data warehousing and the data visualization process, the readers must first know these terms.
“Big data” is a term used to represent large, complex sets of data. This data is vast because in today’s world, data is generated in real time by many sources, including people, vehicles, and devices at all points on the supply and demand chain. The list of data points and sources is ever-growing and can include hundreds if not thousands of sources.
Analyze to Optimize - Connect airport data to refine intertwined operations.InteractiveNEC
Explore how KMD – an NEC company – enables better planning with business intelligence software designed for the airline industry. Quick to implement and easy to use and maintain, the solution works by capturing, integrating and connecting relevant data sources for better informed decisions that ease employee stress, improve customer satisfaction and identify areas for increase profitability. NEC Aviation Analytics is already assisting airports
in Europe with data-drive transformation.
For this and other free similar documents, visit https://www.necam.com/idelight/aviation/
Latest Innovations: Big-Data Analytics - Transforming Flight Operations
Today's aircraft produce roughly 5 gigabytes of data a month. Tomorrow's aircraft will produce more than 30 terabytes of data, exceeding traditional computing capabilities. Big-data analytical methods, cloud-based data warehousing, and software solutions for fast response data mining turns multiple sources of aviation data into actionable information. Data mining real-time flight data improves flight operations by providing better fidelity data for flight tracking, performance, and operating conditions, such as weather. Better data improves operations planning to optimize block times, minimize fuel burn, manage flight distruptions, and provide improved estimated arrival times for ground services management. Accurate, integrated flight operations data in real-time to support day-of disruption management, reducing the number of flight cancellations, delays, diversions, and improving operation reliability.
InfoERP in offer is a comprehensive ERP system specialized for Automotive Dealers, Service Stations and Automotive importers. InfoERP is specially designed for rapid customization and deployment that results in a robust and tailored solution.
Core Modules:
•Customer Management
•MIS
•Finance System
•Workshop
•Inventory Control
•Purchasing
•Sales and Invoicing
Complimentary Modules
•Customer Relationship Management (CRM)
•Mobile Application (SMS)
•Web Services
•Ad-hoc reporting
•Digitizing Inventory (Barcode)
•Document Management
ADV Slides: The Data Needed to Evolve an Enterprise Artificial Intelligence S...DATAVERSITY
This webinar will focus on the promise AI holds for organizations in every industry and every size, and how to overcome some of the challenges today of how to prepare for AI in the organization and how to plan AI applications.
The foundation for AI is data. You must have enough data to analyze to build models. Your data determines the depth of AI you can achieve – for example, statistical modeling, machine learning, or deep learning – and its accuracy. The increased availability of data is the single biggest contributor to the uptake in AI where it is thriving. Indeed, data’s highest use in the organization soon will be training algorithms. AI is providing a powerful foundation for impending competitive advantage and business disruption.
Application of Big Data Systems to Airline ManagementIJLT EMAS
The business world is in the midst of the next
revolution following the IT revolution – the Big Data revolution.
The sheer volume of data produced is a major reason for the big
data revolution. Aviation and aerospace are typical areas that
can apply big data systems due to the scale of data produced, not
only by the plane sensors and passengers, but also by the
prospective passengers. Data that need to be considered include,
but are not limited to, aircraft sensor data, passenger data,
weather data, aircraft maintenance data and air traffic data.
This paper aims at identifying areas in aviation where big data
systems can be utilized to enhance operational performances
improve customer relations and thereby aiding the ultimate goal
of increased profits at reduced costs. An improved management
model built on a strong big data infrastructure will reduce
operation costs, improve safety, bring down the cost and time
spent on maintenance and drastically improve customer
relations.
Similar to Customer centricity in airline industry (20)
Designing a syndicated loans deal management system.Mindtree Ltd.
A syndicated loan is provided by a group of lenders. It is structured, arranged and administered by one or many commercial banks / investment banks, known as arrangers or book runners.
Managed support cost and enhanced performance for the world's largest gaming ...Mindtree Ltd.
Mindtree collaborated with the customer to develop a new application, keeping in mind present and future requirements such as distributed scenarios, offline capabilities, cloud deployment and seamless integration with line-of-business applications.
Online platform for a leading American consumer electronic enterprise.Mindtree Ltd.
Mindtree’s expertise in independent testing and understanding of the customer’s product helped in accelerating the deployment of their online shopping application.
Crafting an intuitive and efficient marketing portal to enhance product manag...Mindtree Ltd.
A German sports clothing and accessories major wanted to organize, streamline and simplify its product management capabilities. Mindtree helped the customer design an application which brings structure and discipline to the product management activities.
Enhancing Web Content Management System (WCMS) and service.Mindtree Ltd.
Mindtree enabled a the leading UK-based hospitality vendor to improve their web content management and enhance their service. We helped them to make an informed choice about the solution and implement the same.
Improving employee and broker productivity with portal technologies.Mindtree Ltd.
Mindtree helped a customer implement an enterprise portal platform that would handle data, content and the information needs of their brokers, underwriters, sales / marketing people and policy holders.
SITEsMART - Connecting with the on-the-move consumer.Mindtree Ltd.
Mindtree's SITEsMART offers advanced mobility solutions ranging from consulting & architecture design, to mobile app / mobile web development, and services such as mobile app testing & mobile app management.
Mindtree's SAP Business Intelligence (BI), Business Objects (BO), HANA services offers consulting services to help customers deploy its business intelligence projects. Our SAP practice has helped global customers implement large scale, complex, enterprise wide SAP analytical applications.
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.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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/
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.
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
2. Summary
In airline environments, information is collected for archival and historical purposes from a wide variety of sources.
This creates a repository of data that is, perhaps, the most valuable asset for an airline. However, the challenges of
managing and extracting information to aid an airline is increasingly difficult to resolve due to customer centricity.
Siloed databases / data marts and the information they contain are typically bound to the software subsystem within
an enterprise’s application, computing platform, or IT environment. To complicate matters, as businesses implement
new, dissimilar technologies, the problems of inconsistency increase. The result is isolation. Making it difficult to find,
deliver, assemble, or use information sources for knowledge that supports business needs across the enterprise.
The purpose of this paper is to highlight the need for a real-time data warehouse coupled with an analytics engine
within the airline’s IT environment. This mission critical system would ease the pressing needs of customer centricity
and e-business.
Contents
Introduction 03
Current state 03
Airlines industry IT trends 05
Real time business intelligence and analytics 05
High level architecture 05
Pre-packaged DWBI framework 07
Conclusion 07
White paper 02
3. Introduction do, they are piecemeal extracts after the fact.
About ten years ago, Continental Airlines was faltering Ideally, data generated by all operational enterprise
and ranked among the lowest of the major US airlines. systems and partners across an enterprise should be
The problems the airline faced were not unique. But, siloed, automatically archived and indexed. Regardless of the
unstructured data and incomplete information made application or platform that created the data. Airlines
determining the root cause analysis a difficult task. should also be capable of searching the entire corporate
database to retrieve the relevant data. Airlines need the
Continental Airlines needed a more comprehensive right information at the right time, with the right degree
view of the business in order to reduce operating expenses, of accuracy.
increase commercial insights and improve time-to-market.
Here, too, legacy systems were hampering the growth and For the airlines at this new frontier of innovation,
profitability story. competition and productivity, it’s about analyzing masses
of unstructured or semi-structured data. This, until recently,
In the past decade, there has been a substantial was considered too difficult, too time consuming and / or
investment by airlines to mothball their legacy systems too expensive. But, as airlines get closer to their customers,
and move toward a modernization strategy. Some airlines they gain insight from looking at interaction patterns
realized substantial benefits by making investments in throughout the customer journey.
real-time data warehousing and analytical solutions.
Notably, Continental Airlines produced an ROI of over Typical attributes of airline data can be identified by four
1,000% with $500 million in cost savings and revenue main attributes:
generation over a six year period. 1. Volume – Airline data is massive. Typical tier 1 carriers
and Global Distribution Systems (GDS) have Passenger
The challenges for implementing a real-time data Name Record (PNR) data measured in terabytes.
warehouse are not alien within an airline environment. 2. Velocity – Airline data is real-time and arrives quickly,
Real-time flight data feeds from flight operating systems making timely decisions difficult.
and either flat-file or XML data feeds from the CRS are two 3. Variety – Ad-hoc systems traditionally have different
solid examples of velocity and variety-related challenges structures and shapes. Data analysis on such data is
that real-time Data Warehouse and Business Intelligence difficult because of rigid schemas.
(DWBI) systems have to surpass. 4. Value – Airline data on its own is low value until it is
rolled up and analyzed. At this point data becomes
For many airlines, their current infrastructure is legacy information which, in turn, becomes knowledge for the
in nature and moving to a new generation of data broader market.
integration and business intelligence is an added level
of complexity. Scandinavian Airlines had to move from Storing and analyzing data is key for airlines to address
a legacy mainframe and DB2 infrastructure in order to customer satisfaction and achieve additional revenue to
implement a 4th generation data integration and business support ongoing operations. Not doing so leaves the airline
intelligence application. enterprise struggling for insightful information that can
transform customer experience. For example, an airline with
Even though there is tremendous complexity around the separate data marts for ticketing and flown PNR / DCS data
large volume of data airlines produce, real-time DWBI can analyse the separate data marts and provide answers to
implementation is the need of the hour. With real-time questions pertaining to that function. However, combining
DWBI systems, historical reporting is enabled over a longer the data marts enables new cross-functional insights that
period of time, with an increased level of granularity. cannot be achieved with the siloed approach. By combining
ticketing and flown PNR / DCS data with inventory and
flight schedules, a wealth of information becomes available,
Current state enabling fact-based, value-added decisions.
Traditional systems that are deployed for airlines around
the world are siloed and very ad-hoc in nature. Rarely do
these systems share data in an economical manner. If they
White paper 03
4. Some key areas where real-time analytics play a vital role Passenger business
within airlines are: ƒƒ Missed connections
ƒƒ Lost baggage
Management of the seat factor ƒƒ VIP customers
ƒƒ Overbooking capacity to ensure maximum seat factors ƒƒ Up sales during the booking process
with minimal off-loads and downgrades ƒƒ Overhead bin space optimization
Management of the revenue mix Flight operations
ƒƒ Cabin mix via market segmentation ƒƒ Aircraft re-routing
ƒƒ Seat access and group acceptance ƒƒ Gate management
ƒƒ Baggage management
Loyalty management ƒƒ Parts management
ƒƒ Identifying the different clusters of customers ƒƒ Forecasting
ƒƒ Targeting clusters with appropriate messaging, ƒƒ Flight catering management
promotions and placement to ensure repeat revenue and ƒƒ Ground handling services
reduced churn ƒƒ Manpower planning
ƒƒ Optimized staffing levels
Cargo management
ƒƒ Cargo capacity / demand planning Others
ƒƒ Cargo rate optimization ƒƒ Sales area
ƒƒ Cargo load optimization ƒƒ Managing traffic flows (O&D)
ƒƒ Pallet management ƒƒ Brand buzz analysis
Pricing optimization ƒƒ Sentiment analysis
Key areas where real-time analytics play a vital role within airlines.
Profitability analytics Loyalty points analysis Promotion effectiveness
Forecast analytics Behaviour analysis Competitive analysis
Fraud analytics Compliments analysis Channel analysis
Customer value Complaints analysis Sales analysis
Pattern analysis Media spend Lead conversion
Customer profile analysis SLA analysis Booking analysis
Check-in analysis Lapse analysis
White paper 04
5. Airlines industry IT trends the data warehouse, ready for business users to view via the
Having touched upon the impact and the absolute need business intelligence platform. This is not useful for airlines
for a world class Real-Time Data Warehouse Business that need real-time intelligence and analytical capabilities.
Intelligence (RTDWBI) and analytics solution for the airline Real-time capability is the missing piece of the puzzle that
industry, it is critical to understand key IT trends in this allows airlines to react to real-time events, such as helping
industry that make the initiative even more important: ground operations support potentially delayed passengers
ƒƒ 56% of airlines will make R&D investments in passenger due to incoming flights. Furthermore, real-time capabilities
services via social media provide alerts and triggers to measure tactical, operational
ƒƒ 52% of airline companies will consider business and strategic key performance indicators to analysts.
intelligence as their major IT investment program in the
next three years A real-time data warehouse enables the warehouse to
ƒƒ 57% of airlines believe social media provides the extract, transform and load data almost immediately after
greatest value as a marketing channel the transactional system gets updated. Thereby enabling
ƒƒ 78% of airlines personalize service offers to their business users to get the latest view of their enterprise data
passengers though direct channels in an integrated, single version at any point in time.
Latency in a real-time data warehouse is in sub-seconds as
Clearly, the focus of airlines beyond 2015 is to ensure opposed to incremental daily or intra-day loads. However, if
maximization of sales through websites and smart phones. data needs to be loaded continuously in real-time, there are
Service personalization, as well as efficient operation, a few design challenges to be overcome:
depends on the availability of data for analysis. Hence, the ƒƒ No room for system downtime and, therefore,
sharing of data between stakeholders becomes essential. disaster recovery is a hurdle
In recognition of this dependency, around half of the ƒƒ If the data changes faster than the query response,
airlines already share or are planning to share data with erroneous responses could be displayed
third parties. (refresh anomaly)
ƒƒ Data sync is a problem because loading data to a fact
The SITA airline survey results clearly indicate that the table happens several times a day, while dimensions
velocity and volume of data for the airline industry are only loaded nightly
is going to increase drastically in the next few years. ƒƒ Scalability could be an issue if not handled early enough
Therefore, airline enterprises need to prepare with a robust during the architecture phase
intelligence infrastructure. So they not only manage growth,
but also stay ahead of competition by their ability to High level architecture
abstract insights from large volumes of data. The majority of airlines intend to leverage websites, smart
phones and social media as the preferred sales channel. A
Real time business intelligence and analytics surge of data is therefore expected to flood transactional
One of the simplest ways to increase intelligence in systems, in increased frequency and varied formats. This
operational systems is to embed simple business rules will make data feed into the upstream data warehouse
and models. They could then help analyze transactional even more challenging. The triple V – Volume, Velocity and
data on the fly and provide alerts triggered by specific Variety – constraint will define the future landscape of large
events or threshold limits. Of course, care should be taken scale DWBI applications.
not to create performance bottlenecks on mission critical
operational systems. However, this approach would not Real-time DWBI architecture needs to address extracting,
match up to the analytics that could be modelled over an transforming and loading, as shown below (Fig. 02):
integrated enterprise data warehouse with change capture
enabled as a key differentiator.
Most data warehouse designs implemented for airlines are
designed for daily, weekly, or monthly data refresh from
underlying source systems. So it would take an entire day
for changes in the transactional systems to be loaded into
White paper 05
6. Fig. 02. Real-time DWBI architecture showing extracting, transforming and loading.
Source system
Booking /
Standby DW
reservation Report layer
Distribution
system (GDS) Warehouse layer Dashboards
Real time Master
Control Fact data Summary
data storage Real time data Historical
systems
data feed reports
Partnerships
Metadata OLAP Self service BI
Shared
repository
metadata layers
Revenue /
yield Batch feed Advanced
analytics
& alert
Sales Pattern Business dashboards
recognition rules
Alerts based on
Loyalty Real time data integration: business rules
ƒƒ Parallel ETL engine derived from pattern
ƒƒ MQ series queues recognition and data
Flight data ƒƒ CDC (log based & others) mining algorithms
ƒƒ Web service
Real time data propagation:
ƒƒ Unidirectional query off-loading with
zero downtime migration
ƒƒ Bi directional _ hot standby
ƒƒ Peer to peer _ load balancing
ƒƒ Broadcasting
ƒƒ Messaging based data distribution _ BAM, CEP, BPM
As mentioned above, a few design challenges need to be For data loading and replication, there are tools like IBM
overcome. The architecture should account for no system DataMirror, Oracle GoldenGate and MetaMatrix that support
downtime. Because data changes faster than a query real-time data movement into a warehouse. Enterprise
response, users could be faced with “refresh anomaly”. Application Integration (EAI) vendors such as Tibco, Mule
Data sync needs to be addressed, as the loading of data into Enterprise Service Bus (ESB) and IBM WebSphere Message
fact tables occurs several times a day, whereas dimensions Broker (WMB), leverage a Service Oriented Architecture
are only loaded nightly. Database backups become (SOA) and provide solutions for real-time data transport.
cumbersome to the real-time nature of the warehouse. And Incremental data load design could be applied using
finally, scalability could become an issue. Change Data Capture (CDC) techniques such as log-based
and time stamps, database triggers and message queues
Fortunately, solutions and design approaches currently (e.g., IBM MQ series).
available can help overcome the challenges of
implementing a real-time data warehouse.
White paper 06
7. Data federation tools can provide data abstraction. ƒƒ Predefined airline dashboards
This enables users and clients to store and retrieve data ƒƒ Integration of airline data model to standard industry
in multiple non-contiguous databases with a single query, source interfaces
even if the constituent databases are heterogeneous.
Enterprise Information Integration (EII) ensure that the This framework reduces implementation time by two-thirds
provision of a federated query server can retrieve and of a full blown development effort, helping airlines realize
integrate data from multiple data sources. Including ROI much sooner.
unstructured data and message queuing software. Some
key EII products include Actuate Enterprise Reporting As with all frameworks, customizations on the data model,
Platform (ERP), BEA Liquid Data, Composite Software ETL, reports and dashboards cannot be ruled out. Further
Information Server, IBM DB2 Information Integrator and maintenance includes regular updates to the analytical
MetaMatrix server. models based on on-going accuracy measurements.
Data could be combined from multiple sources, making it Mindtree is currently moving ahead on the roadmap to
accessible with a simple service call using a common XML or enhance and host the RAPID framework as a trademark
JSON format. Systems based on the latest Java technologies industry solution for the airline industry. Starting with
(Java Messaging Service) could be used to transmit each DWBI and big data analytics (a process of examining
new data element from the source system to a lightweight large amounts and different types of data to make better
listener application. This in turn inserts the new data into business decisions) on a cloud platform.
warehouse tables. Data received over the Internet could be
transmitted in XML via HTTP using the Simple Object Access Conclusion
Protocol (SOAP) and then loaded into the warehouse. Analytics has been defined as, “The extensive use of data,
Data caching techniques could be leveraged, e.g., page statistical and quantitative analysis, explanatory and
caching, tag caching, template caching and dynamic predictive models and fact-based management to drive
channel query caching. decisions and actions.” (Davenport and Harris, Competing
on Analytics, 2007).
Eventually, it boils down to two things: the right kind of
experience and expertise-led design implementation; and Airlines have been traditional users of analytics in terms
leveraging the latest technologies supporting a real-time of dynamic pricing, optimum capacity and utilization of
data warehouse and business intelligence application. cargo allotments, to name a few. But today’s competitive
Some key features of a data warehouse appliance include: environment is filled with an influx of low cost carriers,
ƒƒ Real-time query and loading an increase in cross-border players and an ever-changing
ƒƒ MPP architecture pool of consumer desires. This makes the understanding of
ƒƒ Automatic high availability customers and the business landscape utterly important
ƒƒ Aggressive data compression for survival. With the co-joined service offering of real-time
ƒƒ Extensible in-database analytics framework data warehouse and analytics, airlines have another very
ƒƒ In-database analytics library important tool at their disposal to bring to market enhanced
customer centricity and e-business.
Pre-packaged DWBI framework
Apart from product vendors, Mindtree builds solutions Apart from American Airlines, most of the other airlines in
and frameworks for the airline industry. Our custom airline the US have reported profits this past quarter. The race is on
industry offering is called Real-time Airlines Predictive for airlines to win and retain each and every customer. This
Intelligence Design (RAPID) framework. It is based on our means they not only need to cater to customer desires, they
vast experience in building DWBI and analytics solutions also need to understand how competitors are wooing their
for leading airlines around the world. The RAPID framework customers. Stickiness with airline customers is even more
offers Mindtree’s Intellectual Property (IP) assets for the important now. It’s an oft repeated lie, “Airline service is a
airline industry and the IP stack includes: commodity to consumers”. Airlines can no longer behave
ƒƒ Airline data model as a mere commodity. A huge part of stickiness depends
ƒƒ Airline analytics models
White paper 07
8. on customer experience at the various touch points in the stickiness. These are the moments of truth that differentiate
customer journey. one company from another. In the airline industry where
customers don’t see any difference between one airline and
Airlines need to see the journey through the eyes of the another, the level of service can’t be average. Imagine this
customers. Countless books and research articles have – Southwest Airlines has about 500,000 moments of truth.
been written about customer interaction. Every moment on the customer journey leads to customer
stickiness. Anthony O. Putnam, in the book, “Marketing
Many airlines have even gone as far as identifying all Your Services,” says, “Alignment comes from getting all
the touch points. But very few have implemented a unified your energy focused on one direction – in making sure that
customer experience. Each touch point might just as well everything you say and do is congruent and seen that way
belong to any other airline; there is no uniformity or point by your clients.”
of view. This points to a very important fact – many airlines
are yet to map out the customer journey as a customer Real-time DWBI can positively impact airline operations,
retention strategy. Airlines still have the opportunity to greatly increasing customer centricity and satisfaction. It’s
reach out to their customers and provide them with an critical to understand that real-time data warehouse and
experience is relevant and makes a difference. analytics support the key strategies of the airline business,
Each customer has a story to tell that’s good, bad, or namely supporting enterprise vision and their goals.
indifferent. Chances are that good stories lead to customer
About the authors:
Ajay Paul
GM – Alliances & Strategic Relationships
Ajay_Paul@mindtree.com
Sreejit Ulatil Menon
Associate Director
Analytics & Information Management Practice
sreejit_menon@mindtree.com
Jayashree Iyangar
Manager
Analytics & Information Management Practice
Jayashree_Iyangar@mindtree.com
White paper 08