The presentation will explore the challenges of using the latest technologies to drive change and will reveal why the fusion of Creativity and Process Management has never been more essential to successfully compete in the business world, including real examples of how drones, IoT and IBPMS have helped enterprises gain infinite business opportunities.
More info: http://www.auraportal.com/
Management software and its capacity to optimize processes is becoming increasingly important for the success of logistics management.
Any action that requires something to be transported from one place to another needs: standardization, automation and flexibility.
Nowadays no one has time to constantly think of the best way to do things, therefore AuraPortal drives excellence through a flexible and mobile platform that meets the requirements of the transport industry. With the added value of improved social collaboration, process optimization and business intelligence.
More info: http://www.auraportal.com/
Watch the video: http://youtu.be/KFLdWjN0n_k
Customer expectations for relevant and individualized experiences are rising and evolving at breakneck speed. This has enterprises working furiously at building data infrastructure to collect and store data. But collecting and storing is only the beginning. The technology and know-how to derive value from data—to do predictive analytics on big data—is fast becoming the critical competitive differentiator for businesses.
Join Apigee’s Abhi Rele and Alan Ho as they discuss the market dynamics of predictive analytics and big data and the key capabilities needed to deliver the adaptive apps and APIs every business needs to remain relevant and be competitive.
Join to Discuss:
- Data lakes, machine learning, unstructured data processors, real-time access, APIs—the capabilities to rapidly deliver predictive analytics on big data
- Getting from data lake to production app - how putting big data to use and deriving real value requires a fresh approach
- Pros and cons for the build vs. buy decision to deliver adaptive apps and APIs
This presentation may be useful for you to understand the key concepts in RPA.
Take the first step in RPA by understanding the basics of it.
Reach me out for suggestions on:
LinkedIn: https://www.linkedin.com/in/kgmaheshwari/
Email: kgmaheshwari021@gmail.com
Management software and its capacity to optimize processes is becoming increasingly important for the success of logistics management.
Any action that requires something to be transported from one place to another needs: standardization, automation and flexibility.
Nowadays no one has time to constantly think of the best way to do things, therefore AuraPortal drives excellence through a flexible and mobile platform that meets the requirements of the transport industry. With the added value of improved social collaboration, process optimization and business intelligence.
More info: http://www.auraportal.com/
Watch the video: http://youtu.be/KFLdWjN0n_k
Customer expectations for relevant and individualized experiences are rising and evolving at breakneck speed. This has enterprises working furiously at building data infrastructure to collect and store data. But collecting and storing is only the beginning. The technology and know-how to derive value from data—to do predictive analytics on big data—is fast becoming the critical competitive differentiator for businesses.
Join Apigee’s Abhi Rele and Alan Ho as they discuss the market dynamics of predictive analytics and big data and the key capabilities needed to deliver the adaptive apps and APIs every business needs to remain relevant and be competitive.
Join to Discuss:
- Data lakes, machine learning, unstructured data processors, real-time access, APIs—the capabilities to rapidly deliver predictive analytics on big data
- Getting from data lake to production app - how putting big data to use and deriving real value requires a fresh approach
- Pros and cons for the build vs. buy decision to deliver adaptive apps and APIs
This presentation may be useful for you to understand the key concepts in RPA.
Take the first step in RPA by understanding the basics of it.
Reach me out for suggestions on:
LinkedIn: https://www.linkedin.com/in/kgmaheshwari/
Email: kgmaheshwari021@gmail.com
Bringing AI to your company (Innovation Pioneers 2018)Galina Shubina
Talk from Innovation Pioneers conference on how to bring AI, data science and machine learning to your company from practical, operational, and organizational point of view.
Robotic Process Automation (RPA) Webinar - By Matrix-IFSIdan Tohami
Anshul Arora presented Matrix-ifs' RPA solution which talked about
- Integrating AML, Fraud and Cyber-security Investigations
- Eliminate Manual Time Consuming Tasks Using Automation
- Proactive Investigations - System Triggering using AI and Machine Learning Trends
Many companies start their big data and AI journey by hiring a team of data scientists, give them some data, and expect them to work their miracles. Although it may yield results, it is not an efficient way to use data scientists. We will explain the problems that occur, and how to adapt the context to get business value from data scientists.
- Why data science teams might fail to deliver results
- What data scientists need to be efficient
- What talent you need in addition to data scientists
Prepping the Analytics organization for Artificial Intelligence evolutionRamkumar Ravichandran
This is a discussion document to be used at the Big Data Spain at Madrid on Nov 18th, 2016. The key takeaway from the deck is that AI is reality and much closer than we realize. It will impact our Analytics Community in a very different way vs. an average Consumer. We can shape and guide the revolution if we start preparing for it now - right from our mindset, design thinking principles and productization of Analytics (API-zation). AI is a need to address the problems of scale, speed, precision in the world that is getting more and more complex around us - it is not humanly possible to answer all the questions ourselves and we will need machines to do it for us. The flow of the story line begins with a reality check on popular misconceptions and some background on AI. It then delves into all the ways it can optimize the current flow and ends with the "Managing Innovation Playbook" a set of three steps that should guide our innovation programs - Strategy, Execution & Transformation, i.e., the principles that tell us what we want to get out of it, how to get it done and finally how much the benefits permanent and consistently improving.
Would love to hear your feedback, thoughts and reactions.
Where defects in the industry are counted as defects per million parts produced, a developer introduces an average of 70 bugs for every 1000 lines of code produced. We immersed ourselves in the experiments of Sadao Nomura, who launched Dantotsu "Better than the best" activities in Toyota factories, a 3-year program capable of reducing defects by 85%.
The tech practices, visual management, and tools of Dantotsu inspired us to:
- Eradicate the root causes of a bug within 24 hours of its detection
- Identify "weak points", typical problems that require strengthening the training system
- Create a culture of quality where everyone shares their solved bugs
We cover the theory of Dantotsu radical quality and the experiments we ran before October 2022.
Woody is the CTO and co-founder of Sipios, a fintech development agency. Flavian is a co-author of Build To Sell, CTO, and lean coach.
Data loss is considered by security experts to be one of the most serious threats that businesses currently face.
Maintaining the confidentiality of personal information and data is an essential factor in operating a successful business. People must be able to trust that their service provider takes the appropriate measures to implement security controls that will ultimately protect their privacy.
However, some of the largest and most reputable organizations have fallen victim to data loss security breaches resulting in significant legal, financial, and reputation loss, including [1]:
The Bank of America: Losing the personal employee information of over one million employees
The United States Government: Losing data related to the military
Heartland Payment Systems: Transferring credit card information and other personal records of over 130 million customers
In 2013, it was estimated that data breaches had resulted in the exploitation of over 800 million personal records [2]. This number is also expected to rise over the next several years given the advanced tools that cybercriminals use to steal information and data.
Interestingly, it is not just cybercriminals who represent a threat as:
64% of data loss is caused by well-meaning insiders.
50% of employees leave with data.
$3.5 million average cost of a security breach.
Considering these extensive data breaches, it is practical for organizations to understand where their critical data is located and understanding current security controls that can stop data loss.
Data Loss Prevention (DLP) solutions locate critical and personal data for organizations and help prevent data loss. By having a deeper understanding of efficient DLP security controls, you will help protect the reputation of your organization.
For more information contact: rkopaee@riskview.ca
https://www.threatview.ca
http://www.riskview.ca
The Analytic Platform: Empowering the Business NowInside Analysis
The Briefing Room with Dr. Robin Bloor and Actuate
Live Webcast on October 7, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=475312d15f46d095797f5842de84925f
As businesses grapple with more and more data, analysts and data consumers have a growing expectation to get at those assets fast. All too often, business users are stymied by governance and performance roadblocks, making time-to-insight a relatively slow process. One solution is to leverage the power of an analytic platform, one that keeps data management in IT’s hands, and lets business analysts jump right in without the need for modeling and provisioning.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the principles behind a meaningful analytic platform. He’ll be briefed by Peter Hoopes and Allen Bonde of Actuate, who will tout their company’s BIRT Analytics, a solution that combines columnar database technology with pre-built algorithms and puts analytics in the hands of the business user in minutes, not days. They will show how their platform makes it easy to perform complex analytics on enterprise data and visualize results, without slowing down other systems or interfering with governance needs.
Visit InsideAnlaysis.com for more information.
Business Analyst Series 2023 - Week 2 Session 3DianaGray10
Business Analyst Series 2023 - Week 2, Session 3 Topics Covered:
Introduction to Continuous Discovery
Process Mining vs Task Mining
Introduction to Process Mining
Process Mining project stages
Q & A
Please see below the week 2 mandatory UiPath Academy learning assignment (to be completed by Sunday EoD):
Business Analyst Series 2023 Week 2 Topics Covered:
1. Getting Started with UiPath Process Mining (1hr 30m)
2. UiPath Task Mining Overview (2 hr)
The one question you must never ask!" (Information Requirements Gathering for...Alan D. Duncan
Presentation from 2014 International Data Quality Summit (www.idqsummit.org, Twitter hashtag #IDQS14). Techniques for business analysts and data scientists to facilitate better requirements gathering in data and analytic projects.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
The Sky’s the Limit – The Rise of Machine LearninInside Analysis
The Briefing Room with Analyst Dr. Robin Bloor and SkyTree
Live Webcast on June 24, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=1da2b498fc39b8b331a5bbb8dea2660f
With data growing more complex these days, many organizations are looking for ways to make sense of new information sources. The goal? Sprint ahead of the competition by exploiting fast-moving opportunities. The challenge? The data volumes, variety and velocity call for significantly greater horsepower than ever before. That’s where machine learning comes into play, and it’s already fundamentally changing the Big Data Analytics landscape.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains how advanced analytics technology can transform the enterprise. He’ll be briefed by Martin Hack, CEO of Skytree, who will tout his company’s machine learning solution for big data. Hack will discuss the critical challenges facing today’s data professionals, and present use cases to show how machine learning can help organizations leverage big data as a capital asset. He’ll specifically address the power of predictive analytics, which can help companies seize opportunities and prevent serious problems.
Visit InsideAnlaysis.com for more information.
DataOps @ Scale: A Modern Framework for Data Management in the Public SectorTamrMarketing
Within the last 6 months, the U.S. agencies have begun defining a “Data Science Occupational Series”.
This means adding the term “(Data Scientist)” at the end of a job title to increase the odds of finding a candidate that understands data.
Watch the full presentation: https://resources.tamr.com/govdataops
For startups and enterprises alike, the value of speed, the ability to pivot rapidly and to orient around customer behavior has increased– these abilities are now essential, some would argue - existential. Yet, growth brings an asymmetry: you now have to be stable, cost efficient, and keep customer promises, while disrupting yourself - building the next propositions for customer delight. In this session, Sheldon will distill the true foundations of scalability - people, processes, and technology – and how to organize all three for increasing customer and business impact
This presentation contains all pitches that were delivered during TNO's Small Big Data Congress in 2018, as part of the event 'Big Data meets Applied AI'.
[Webinar Slides] Dreading Your Data Migration Project? 3 Ways Robotic Process...AIIM International
In this webinar, we’ll examine ways that RPA can help your organization tackle these challenges. We’ll take a detailed look at actual customer case studies involving data migration projects large and small, and how RPA can help.
Want to follow along with the webinar replay? Download it here for FREE: http://info.aiim.org/dreading-your-data-migration-project
The 3 Key Barriers Keeping Companies from Deploying Data Products Dataiku
Getting from raw data to deploying data-driven solutions requires technology, data, and people. All of which exist. So why aren’t we seeing more truly data-driven companies: what's missing and why? During Strata Hadoop World Singapore 2015, Pauline Brown, Director of Marketing at Dataiku, explains how lack of collaboration is what is keeping companies from building and deploying data products effectively. Learn more about Dataiku and Data Science Studio: www.dataiku.com
Descubra el valor de Seguridad Activa con BPM.
La Seguridad Activa es la que utilizamos en nuestro día a día para evitar cualquier tipo de ataque. Tiene como objetivo proteger y evitar posibles daños en los sistemas informáticos.
Webinar - The continuous improvement cycle of business processesAuraQuantic
The goal of this webinar is to offer a clear, up-to-date view of the five stages of a Process Life Cycle:
1. Modelling
2. Simulation
3. Execution
4. Monitoring
5. Optimization
Which naturally generate the culture of Continuous Improvement in any organization.
The course is based on the following topics:
Theory: covering all the concepts shown in the agenda.
Practical view using a Real Case, see the whole cycle: the creation of the Process Model, its actual execution, control of the executed process by continuous Monitoring and its systematic Optimization for Continuous Improvement.
Agenda
1. Creation of the process models.
2. Execution of day-to-day processes.
3. Monitoring (Observation, Control and Analysis of the Execution results).
4. Continuous Improvement.
5. Practical Example of the whole Cycle:
Building a process model diagram.
Creating the process Model.
Immediately executing the process without any programming.
Watching the Monitoring of the running process.
Modifying the running process for its Optimization.
More Related Content
Similar to Transformers IoT "Smart Machines and Analytics begin reigning"
Bringing AI to your company (Innovation Pioneers 2018)Galina Shubina
Talk from Innovation Pioneers conference on how to bring AI, data science and machine learning to your company from practical, operational, and organizational point of view.
Robotic Process Automation (RPA) Webinar - By Matrix-IFSIdan Tohami
Anshul Arora presented Matrix-ifs' RPA solution which talked about
- Integrating AML, Fraud and Cyber-security Investigations
- Eliminate Manual Time Consuming Tasks Using Automation
- Proactive Investigations - System Triggering using AI and Machine Learning Trends
Many companies start their big data and AI journey by hiring a team of data scientists, give them some data, and expect them to work their miracles. Although it may yield results, it is not an efficient way to use data scientists. We will explain the problems that occur, and how to adapt the context to get business value from data scientists.
- Why data science teams might fail to deliver results
- What data scientists need to be efficient
- What talent you need in addition to data scientists
Prepping the Analytics organization for Artificial Intelligence evolutionRamkumar Ravichandran
This is a discussion document to be used at the Big Data Spain at Madrid on Nov 18th, 2016. The key takeaway from the deck is that AI is reality and much closer than we realize. It will impact our Analytics Community in a very different way vs. an average Consumer. We can shape and guide the revolution if we start preparing for it now - right from our mindset, design thinking principles and productization of Analytics (API-zation). AI is a need to address the problems of scale, speed, precision in the world that is getting more and more complex around us - it is not humanly possible to answer all the questions ourselves and we will need machines to do it for us. The flow of the story line begins with a reality check on popular misconceptions and some background on AI. It then delves into all the ways it can optimize the current flow and ends with the "Managing Innovation Playbook" a set of three steps that should guide our innovation programs - Strategy, Execution & Transformation, i.e., the principles that tell us what we want to get out of it, how to get it done and finally how much the benefits permanent and consistently improving.
Would love to hear your feedback, thoughts and reactions.
Where defects in the industry are counted as defects per million parts produced, a developer introduces an average of 70 bugs for every 1000 lines of code produced. We immersed ourselves in the experiments of Sadao Nomura, who launched Dantotsu "Better than the best" activities in Toyota factories, a 3-year program capable of reducing defects by 85%.
The tech practices, visual management, and tools of Dantotsu inspired us to:
- Eradicate the root causes of a bug within 24 hours of its detection
- Identify "weak points", typical problems that require strengthening the training system
- Create a culture of quality where everyone shares their solved bugs
We cover the theory of Dantotsu radical quality and the experiments we ran before October 2022.
Woody is the CTO and co-founder of Sipios, a fintech development agency. Flavian is a co-author of Build To Sell, CTO, and lean coach.
Data loss is considered by security experts to be one of the most serious threats that businesses currently face.
Maintaining the confidentiality of personal information and data is an essential factor in operating a successful business. People must be able to trust that their service provider takes the appropriate measures to implement security controls that will ultimately protect their privacy.
However, some of the largest and most reputable organizations have fallen victim to data loss security breaches resulting in significant legal, financial, and reputation loss, including [1]:
The Bank of America: Losing the personal employee information of over one million employees
The United States Government: Losing data related to the military
Heartland Payment Systems: Transferring credit card information and other personal records of over 130 million customers
In 2013, it was estimated that data breaches had resulted in the exploitation of over 800 million personal records [2]. This number is also expected to rise over the next several years given the advanced tools that cybercriminals use to steal information and data.
Interestingly, it is not just cybercriminals who represent a threat as:
64% of data loss is caused by well-meaning insiders.
50% of employees leave with data.
$3.5 million average cost of a security breach.
Considering these extensive data breaches, it is practical for organizations to understand where their critical data is located and understanding current security controls that can stop data loss.
Data Loss Prevention (DLP) solutions locate critical and personal data for organizations and help prevent data loss. By having a deeper understanding of efficient DLP security controls, you will help protect the reputation of your organization.
For more information contact: rkopaee@riskview.ca
https://www.threatview.ca
http://www.riskview.ca
The Analytic Platform: Empowering the Business NowInside Analysis
The Briefing Room with Dr. Robin Bloor and Actuate
Live Webcast on October 7, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=475312d15f46d095797f5842de84925f
As businesses grapple with more and more data, analysts and data consumers have a growing expectation to get at those assets fast. All too often, business users are stymied by governance and performance roadblocks, making time-to-insight a relatively slow process. One solution is to leverage the power of an analytic platform, one that keeps data management in IT’s hands, and lets business analysts jump right in without the need for modeling and provisioning.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the principles behind a meaningful analytic platform. He’ll be briefed by Peter Hoopes and Allen Bonde of Actuate, who will tout their company’s BIRT Analytics, a solution that combines columnar database technology with pre-built algorithms and puts analytics in the hands of the business user in minutes, not days. They will show how their platform makes it easy to perform complex analytics on enterprise data and visualize results, without slowing down other systems or interfering with governance needs.
Visit InsideAnlaysis.com for more information.
Business Analyst Series 2023 - Week 2 Session 3DianaGray10
Business Analyst Series 2023 - Week 2, Session 3 Topics Covered:
Introduction to Continuous Discovery
Process Mining vs Task Mining
Introduction to Process Mining
Process Mining project stages
Q & A
Please see below the week 2 mandatory UiPath Academy learning assignment (to be completed by Sunday EoD):
Business Analyst Series 2023 Week 2 Topics Covered:
1. Getting Started with UiPath Process Mining (1hr 30m)
2. UiPath Task Mining Overview (2 hr)
The one question you must never ask!" (Information Requirements Gathering for...Alan D. Duncan
Presentation from 2014 International Data Quality Summit (www.idqsummit.org, Twitter hashtag #IDQS14). Techniques for business analysts and data scientists to facilitate better requirements gathering in data and analytic projects.
This presentation was made on June 16, 2020.
A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA
AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business.
H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation.
Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start.
About Parul Pandey:
Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.
The Sky’s the Limit – The Rise of Machine LearninInside Analysis
The Briefing Room with Analyst Dr. Robin Bloor and SkyTree
Live Webcast on June 24, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=1da2b498fc39b8b331a5bbb8dea2660f
With data growing more complex these days, many organizations are looking for ways to make sense of new information sources. The goal? Sprint ahead of the competition by exploiting fast-moving opportunities. The challenge? The data volumes, variety and velocity call for significantly greater horsepower than ever before. That’s where machine learning comes into play, and it’s already fundamentally changing the Big Data Analytics landscape.
Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor as he explains how advanced analytics technology can transform the enterprise. He’ll be briefed by Martin Hack, CEO of Skytree, who will tout his company’s machine learning solution for big data. Hack will discuss the critical challenges facing today’s data professionals, and present use cases to show how machine learning can help organizations leverage big data as a capital asset. He’ll specifically address the power of predictive analytics, which can help companies seize opportunities and prevent serious problems.
Visit InsideAnlaysis.com for more information.
DataOps @ Scale: A Modern Framework for Data Management in the Public SectorTamrMarketing
Within the last 6 months, the U.S. agencies have begun defining a “Data Science Occupational Series”.
This means adding the term “(Data Scientist)” at the end of a job title to increase the odds of finding a candidate that understands data.
Watch the full presentation: https://resources.tamr.com/govdataops
For startups and enterprises alike, the value of speed, the ability to pivot rapidly and to orient around customer behavior has increased– these abilities are now essential, some would argue - existential. Yet, growth brings an asymmetry: you now have to be stable, cost efficient, and keep customer promises, while disrupting yourself - building the next propositions for customer delight. In this session, Sheldon will distill the true foundations of scalability - people, processes, and technology – and how to organize all three for increasing customer and business impact
This presentation contains all pitches that were delivered during TNO's Small Big Data Congress in 2018, as part of the event 'Big Data meets Applied AI'.
[Webinar Slides] Dreading Your Data Migration Project? 3 Ways Robotic Process...AIIM International
In this webinar, we’ll examine ways that RPA can help your organization tackle these challenges. We’ll take a detailed look at actual customer case studies involving data migration projects large and small, and how RPA can help.
Want to follow along with the webinar replay? Download it here for FREE: http://info.aiim.org/dreading-your-data-migration-project
The 3 Key Barriers Keeping Companies from Deploying Data Products Dataiku
Getting from raw data to deploying data-driven solutions requires technology, data, and people. All of which exist. So why aren’t we seeing more truly data-driven companies: what's missing and why? During Strata Hadoop World Singapore 2015, Pauline Brown, Director of Marketing at Dataiku, explains how lack of collaboration is what is keeping companies from building and deploying data products effectively. Learn more about Dataiku and Data Science Studio: www.dataiku.com
Descubra el valor de Seguridad Activa con BPM.
La Seguridad Activa es la que utilizamos en nuestro día a día para evitar cualquier tipo de ataque. Tiene como objetivo proteger y evitar posibles daños en los sistemas informáticos.
Webinar - The continuous improvement cycle of business processesAuraQuantic
The goal of this webinar is to offer a clear, up-to-date view of the five stages of a Process Life Cycle:
1. Modelling
2. Simulation
3. Execution
4. Monitoring
5. Optimization
Which naturally generate the culture of Continuous Improvement in any organization.
The course is based on the following topics:
Theory: covering all the concepts shown in the agenda.
Practical view using a Real Case, see the whole cycle: the creation of the Process Model, its actual execution, control of the executed process by continuous Monitoring and its systematic Optimization for Continuous Improvement.
Agenda
1. Creation of the process models.
2. Execution of day-to-day processes.
3. Monitoring (Observation, Control and Analysis of the Execution results).
4. Continuous Improvement.
5. Practical Example of the whole Cycle:
Building a process model diagram.
Creating the process Model.
Immediately executing the process without any programming.
Watching the Monitoring of the running process.
Modifying the running process for its Optimization.
WEBINAR: Gestione de forma automática la recepción y validación de su documen...AuraQuantic
En esta presentación, se mostrará cómo se ha resuelto un escenario en el que una empresa de seguros recibe la documentación relativa al contrato de seguro, y se automatiza el procesamiento y validación de la documentación, mediante una aplicación creada en AuraPortal integrando un sistema OCR y un Gestor Documental.
La documentación es recibida y digitalizada mediante el OCR. Esta información queda integrada en AuraPortal para su validación y aprobación combinando tareas manuales y automáticas (gestionadas sin intervención humana) hasta que es aprobada en su totalidad y queda almacenada en el gestor documental.
Estos serán los posibles escenarios que se presentarán durante el webinar:
• Robotizar la revisión de la información de los documentos recibidos
• Automatizar la activación de la supervisión de las pólizas a reclamar.
• Controlar los tipos de documentos que se deben cumplimentar según el tipo de póliza.
• Controlar los tipos de incidencias que se pueden dar por cada tipo de documento.
• Facilitar la supervisión de los documentos requeridos por cada póliza.
• Facilitar la supervisión de las incidencias que se puedan producir.
• Controlar los tiempos de resolución de incidencias.
• Explotar los datos que se desprendan del registro y control del proceso.
Presentacion Webinar: Cómo incorporar Inteligencia Artificial a sus Procesos ...AuraQuantic
En esta presentación explicamos cómo incorporar capacidades de Inteligencia Artificial con AuraPortal BPM y Oesía, incorporando los servicios cognitivos de Microsoft Azure, así como bots y Machine learning (Aprendizaje automático).
La Inteligencia Artificial es la disciplina que trata de crear sistemas capaces de aprender y razonar como un ser humano, que aprendan de la experiencia, contrasten información y lleven a cabo tareas lógicas. Tales tareas mejoran la toma de decisiones, reducen costes y riesgos, mejoran el desempeño y el control de calidad.
Con Inteligencia Artificial en AuraPortal aumentamos las capacidades de los empleados al realizar sus funciones, mejorando la toma de decisiones y reduciendo costes y riesgos.
Cree aplicaciones de negocio inteligentes con AuraPortal e IA de Microsoft Azure.
AuraPortal Teletrabajo es el más sencillo, potente y económico sistema para transformar todas las operaciones de su empresa que lo permitan, en teletrabajo. La solución incluye funcionalidades esenciales para mantener e incluso aumentar la productividad de todo el ecosistema empresarial obteniendo un control completo mediante la automatización y trazabilidad de sus tareas, factores decisivos para implantar con éxito el teletrabajo. Cree automatizaciones sin código en sus operaciones de negocio. Minimice las posibilidades de error humano y concéntrese en las tareas que tienen un impacto real.
Mantenerse al día del progreso y los resultados de todo el equipo de forma remota puede ser un desafío. AuraPortal Teletrabajo ofrece una amplia gama de características que ayudarán a identificar mejor las debilidades, reasignar recursos y constatar que los objetivos se sigan alcanzando. Las características de esta solución permiten aumentar la productividad de todo el ecosistema empresarial en un entorno de teletrabajo.
¡AuraPortal Teletrabajo es su nueva oficina virtual! Desde su página de inicio podrá tener una visión general de su trabajo en remoto, lo que facilita que usted y su equipo alcancen sus objetivos y aumenten el rendimiento.
Dashboards en tiempo real:
Ofrezca un acceso diferente a cada uno de sus empleados dependiendo de la información que necesiten ver.
Notificaciones instantáneas:
Conozca el estado de sus proyectos en tiempo real y realice un seguimiento de lo que realmente importa.
Informes en tiempo real:
Tenga control total de la información y obtenga una mejor visión general del desempeño de sus empleados.
Incluye seis procesos predefinidos para permitir a los usuarios comenzar inmediatamente con su trabajo diario:
Asistencia técnica
Workflow dinámico
Registro actividades
Proceso de compras
Permisos administrativos
Gestión de documentos
ELPOZO ALIMENTACION - BPM Case Study PresentationAuraQuantic
Take a look at these slides and discover how ELPOZO ALIMENTACIÓN, a leading company in the meat industry, has managed to organize and centralize all processes using the AuraPortal iBPMS digital platform.
Webinar. Caso de éxito ELPOZO ALIMENTACIÓN con AuraPortal BPMAuraQuantic
Eche un vistazo a estas diapositivas y descubra cómo ELPOZO ALIMENTACIÓN, empresa líder en el sector cárnico, ha conseguido organizar y centralizar todos los procesos a través de la plataforma digital AuraPortal iBPMS.
Balfego Grup Caso de Éxito AuraPortal BPMAuraQuantic
Cómo la automatización, el IoT y el RPA permiten garantizar la trazabilidad de sus procesos.
Balfegó es una empresa fuertemente comprometida con sus clientes y la sociedad en general y su visión es que las generaciones que nos sucedan puedan seguir pescando de forma responsable, como lo han venido haciendo las generaciones que nos preceden, porque los recursos sobre los que actúa merecen una actitud de mejora que garanticen la máxima rentabilidad del resultado.
Estos son algunos de los retos a los que se enfrentaban:
- Optimizar la eficiencia y la producción pesquera
- Asegurar el cumplimiento con los más altos estándares de calidad
- Adaptar la oferta a la demanda para conseguir el mejor precio del mercado
- Aprovechar la tecnología para acceder a nuevos mercados
Uno de los pilares de la nueva estrategia de Balfegó fue la implantación de la Suite BPM de AuraPortal como plataforma corporativa de automatización de todos sus procesos, tanto los administrativos como los productivos relacionados con el tratamiento del atún.
Estos son los procesos más relevantes que Balfegó implementó para encaminar su transformación digital:
1.Automatización del proceso de extracción
2.Proceso del control de temperatura
3.Proceso de mantenimiento en granja y alimentación
4.Proceso de procesado industrial
5.Proceso de comercialización
Balfegó is a company strongly committed to its customers and to society in general, in order to sustainably satisfy their expectations, far more than just scrupulously complying with laws and other obligations.
Its vision is that future generations can continue to fish responsibly, just as previous generations have done, because the resources used merit an improved attitude to guarantee maximum cost-effectiveness.
One of the pillars of the new Balfegó strategy was the implementation of the AuraPortal BPM Suite, as a corporate automation platform for all of its processes, including both administration and production, related to the treatment of tuna. It started by launching several key processes, including: Extraction, Alimentation, Processing and Commercialization.
The Irony of Business Transformation the Role of a Chaos ManagerAuraQuantic
Explanation of some new business concepts and roles. On the one hand, in the digital economy, information is the world's new currency. On the other, something called “management chaos" reigns supreme. If you are an IT executive, a business manager or a legal counselor, you need to help your organization build a strategy to deal with information chaos.
Presented on Gartner Business Process Management Summit 2016.
More info: http://www.auraportal.com/
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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/
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
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.
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/
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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.
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Automated messaging process Drone
Example 1:
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IoT
AnalyticsMobility
Business Processes
Business
Rules
Business Processes
Mobility
IoT
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Misplaced/lost
documentation
Lack of control over the
delivery of documents
No record of when or
who sent or received
the documents
Lack of data to measure
employee efficiency
Automated messaging process Drone
Problems: Solution: Drone + IoT + AuraPortal iBPMS
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Misplaced/lost
documentation
Lack of control over the
delivery of documents
No record of when or
who sent or received
the documents
Lack of data to measure
employee efficiency
Automated messaging process Drone
Problems: Solution: Drone + IoT + AuraPortal iBPMS
As soon as the Drone
arrives at the Premises
this message is unblocked
As soon as the Drone has internet connection it
activates a Process in AuraPortal with all the
information that the doctor input in the drone.
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—Attributed to John F. Kennedy —
Automated banknote counting machine process
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Automated banknote counting machine process
Problems: Solution: IoT + AuraPortal iBPMS
Lack of control of
processes
Lack of
communication
Task delays Disorganization
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Automated banknote counting machine process
Problems: Solution: IoT + AuraPortal iBPMS
Lack of control of
processes
Lack of
communication
Task delays Disorganization
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—Attributed to Bill Gates —
Prescriptive Analytics
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Problems: Solution: Business Rules + Analytics + iBPMS
Lack of knowledge Slow processes
Lack of data for decision
making
Lack of inter-departmental
coordination
Emotional
tactic
20%
Competitor
deficiencies tactic
25%
Exclusivity tactic
30%
Fear
tactic
10%
Doubt tactic
15%
Prescriptive Analytics
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Problems: Solution: Business Rules + Analytics + iBPMS
Lack of knowledge Slow processes
Lack of data for decision
making
Lack of inter-departmental
coordination
Emotional
tactic
20%
Competitor
deficiencies tactic
25%
Exclusivity tactic
30%
Fear
tactic
10%
Doubt tactic
15%
Prescriptive Analytics
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— Attributed to Oscar Wilde —
Facial Recognition
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Facial Recognition
Problems: Solution: IoT + AuraPortal iBPMS
Misplaced/lost
documentation
Unproductive use of
time
Phishing
Excessive
bureaucratic control
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Facial Recognition
Problems: Solution: IoT + AuraPortal iBPMS
Misplaced/lost
documentation
Unproductive use of
time
Phishing
Excessive
bureaucratic control
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— Attributed to Peter Drucker —
Thermal Cameras and Lighting control
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Passenger classification
Disorganization
Emergency
Disorganization
Train Chaos Poor customer service
Problems:
Solution: Thermal Cameras + Lighting
control + Analytics + iBPMS
Thermal Cameras and Lighting control
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Passenger classification
Disorganization
Emergency
Disorganization
Train Chaos Poor customer service
Problems:
Solution: Thermal Cameras + Lighting
control + Analytics + iBPMS
Thermal Cameras and Lighting control
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—Attributed to AuraPortal —
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Booth #05
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Suite 1100, 11th Floor,
Miami, FL 33131.
+1 (857) 239 0070
info-us@auraportal.com
Skype: auraportal
Twitter.com/AuraPortal
Facebook.com/AuraPortal
Linkedin.com/company/AuraPortal
Youtube.com/AuraPortal
AuraPortal North America Social
Networks
Editor's Notes
Hello, I’m David Sorensen Senior Consultant and Trainer at AuraPortal
I would like to start by asking you a question
Where do you see yourself in 5 years’ time? And in 10?
Ok…we haven’t come here to discuss
our private lives, but we have come to talk about the world of business, so I’ll rephrase the
question:
Where do you see your company in 5 years? And in 10?
Although these are good questions, they don’t interest me, and I don’t think they should interest you either.
Instead of the future... shouldn’t we be interested in today?
in what we can do with current technology, when you leave this room? Because nobody knows exactly how the world of business will be one year from now.
At a time when companies in many industries offer “similar products” and use “comparable”
technology, high performance Business Processes are the key point of differentiation.
To achieve this successful differentiation and compete triumphantly in the current world of
business it is essential to create a fusion between Creativity and Business Processes
The results enjoyed by our customers have in fact proven that “a tough competitive
environment” is by far the strongest reason why our customers adopt our creative solutions
which make it possible to fuse...
iBPMS
iOT
and
Analytics
… to simulate the futuristic smart machines.
As my mom used to tell me… “Yesterday is history, tomorrow is a mystery, but today is a gift. That’s why we call it the present.”
— I must confess I also heard this the other day from the wise old turtle in Kung Fu Panda. So maybe the author wasn't my mom after all… maybe, someone here can tell me later?
So, we’re going to talk about the present, about how AuraPortal’s Customers are improving
their processes to be more productive, efficient and better than their competitors.
We’ve already heard about drones being used to send things. But this company needed to pick up blood samples and information from Doctors and send them to their Labs.
At first the doctors had to travel from their location back to the labs in order to deliver the results and the required treatments to their patients.
Doctors also had to fill in several forms in places with no internet, so basically it would take days or even weeks for all the information to arrive at the Lab. Besides, traveling back and forth from these remote locations was very inefficient.
Now, thanks to these machines, IOT and the AuraPortal Processes they are able to dramatically reduce their costs and have also improved their efficiency in their pursuit to help their patients.
We are not only talking about improving the way people work, we are talking about changing people’s lives, changing our society and the way we live.
The system evaluates and classifies the data
We’ve already heard about drones being used to send things. But this company needed to pick up blood samples and information from Doctors and send them to their Labs.
At first the doctors had to travel from their location back to the labs in order to deliver the results and the required treatments to their patients.
Doctors also had to fill in several forms in places with no internet, so basically it would take days or even weeks for all the information to arrive at the Lab. Besides, traveling back and forth from these remote locations was very inefficient.
Now, thanks to these machines, IOT and the AuraPortal Processes they are able to dramatically reduce their costs and have also improved their efficiency in their pursuit to help their patients.
We are not only talking about improving the way people work, we are talking about changing people’s lives, changing our society and the way we live.
The system evaluates and classifies the data
There are risks and costs to action. But they are far less than the long range risks of comfortable inaction.
This quote relates to our next example where an important International Bank had to change its mentality to improve its efficiency.
On this slide you can see a Bank machine that detects counterfeit bills. The problem in following example was that when some of the bank’s major customers deposited a large amount of cash to pay in, the money was usually counted at the end of the working day in order to serve more customers who were waiting in line. When the cashiers had time to count the bills, the machine often informed them of a counterfeit bill. Before this event, a "manual" protocol was in place which involved the bank teller sending an email to the bank's insurance company to cover the value of the counterfeit bills. In addition, the cashier had to notify the client of the detection of counterfeit money as well as his supervisor, who in turn had to notify head office and the Ministry of Economy. All this was very time consuming for many of the bank’s employees and led to loss of information, inefficiency, etc.
The solution we provided was for the machine to report directly to AuraPortal iBPMS which automated the entire process. In the diagram we will see how the process is working today.
On this slide you can see a Bank machine that detects counterfeit bills. The problem in following example was that when some of the bank’s major customers deposited a large amount of cash to pay in, the money was usually counted at the end of the working day in order to serve more customers who were waiting in line. When the cashiers had time to count the bills, the machine often informed them of a counterfeit bill. Before this event, a "manual" protocol was in place which involved the bank teller sending an email to the bank's insurance company to cover the value of the counterfeit bills. In addition, the cashier had to notify the client of the detection of counterfeit money as well as his supervisor, who in turn had to notify head office and the Ministry of Economy. All this was very time consuming for many of the bank’s employees and led to loss of information, inefficiency, etc.
The solution we provided was for the machine to report directly to AuraPortal iBPMS which automated the entire process. In the diagram we will see how the process is working today.
Your most unhappy customers are your greatest source of learning. — This is a quote attributed to Bill Gates — which brings us to our next example.
The human brain is such a complex system that it currently exceeds all skills that can be put into a machine. Perhaps not by much as the computing power of a machine is far superior to that of a person, however when it comes to adapting to new tasks or situations, neuronal activity beats any supercomputer hands down. It is precisely this human quality of finding the most appropriate solution to a problem, even if they have never encountered it before, that scientists want to implement in machines.
So, with the lack of human capacity to perform complex calculations based on past experiences to make the best decisions from all possible options I am going to show you how we solved one of our customer’s problems using prescriptive analytics and AuraPortal Business Rules.
Prescriptive Analytics is responsible for automating decision making, either by using Business Rules Management Systems, when the decision process is systematic, or Mathematical Optimization algorithms, when the process is not systematic. It provides considerable help in the decision making process, improving the operational efficiency of the companies that use it, and differentiating them from their competitors in the current changing and competitive market.
One of our customers in the banking industry had a high percentage of long-term customer loss because other banks were apparently offering much more competitive benefits than they were. Thus, realizing their inability to solve their customer churn problem they contacted us to see if we could offer a solution.
The main objective was to considerably reduce customer loss therefore; the quickest solution was to equip the department responsible for account closures with appropriate psychological tactics to use to try to retain the customer. Thus we generated an algorithm to collect information such as customer age, their likes, the services they use and so on. This information enabled AuraPortal to determine how successful each psychological tactic would be, and reveal the most successful tactic for customer retention in each individual case based on the type of customer wishing to close an account. The graph shows 5 types of tactics and in this particular case the type with the highest probability of success is the tactic which involves highlighting competitor deficiencies.
Prescriptive Analytics is responsible for automating decision making, either by using Business Rules Management Systems, when the decision process is systematic, or Mathematical Optimization algorithms, when the process is not systematic. It provides considerable help in the decision making process, improving the operational efficiency of the companies that use it, and differentiating them from their competitors in the current changing and competitive market.
One of our customers in the banking industry had a high percentage of long-term customer loss because other banks were apparently offering much more competitive benefits than they were. Thus, realizing their inability to solve their customer churn problem they contacted us to see if we could offer a solution.
The main objective was to considerably reduce customer loss therefore; the quickest solution was to equip the department responsible for account closures with appropriate psychological tactics to use to try to retain the customer. Thus we generated an algorithm to collect information such as customer age, their likes, the services they use and so on. This information enabled AuraPortal to determine how successful each psychological tactic would be, and reveal the most successful tactic for customer retention in each individual case based on the type of customer wishing to close an account. The graph shows 5 types of tactics and in this particular case the type with the highest probability of success is the tactic which involves highlighting competitor deficiencies.
Be yourself; everyone else is already taken. — Attributed to Oscar Wilde —
The next example is about IoT /machines. It involves one of our customers, which is a leading British multinational grocery and general merchandise retailer.
Our customer’s problem was an inefficient employee management process. In the UK there is a very strict regulation of temporary work which means that large grocery retailers must have the latest technology to comply with the regulations.
In the past the company used rudimentary methods which didn’t give them enough control over the hours worked by each employee. Furthermore, the company was aware of phishing between employees in different stores. In addition, wages were paid by a temporary recruitment agency which involved sending information of the hours worked by hundreds of employees to the temp agency for them to register in their AuraPortal in order to pay the worker’s wages.
To improve the effectiveness and efficiency of this process we decided to install a facial recognition machine in all the superstores to solve all the problems: on the one hand the facial recognition machine automatically sent all the information regarding hours worked by each employee directly to the temp agency and on the other hand it made phishing impossible.
The next example is about IoT /machines. It involves one of our customers, which is a leading British multinational grocery and general merchandise retailer.
Our customer’s problem was an inefficient employee management process. In the UK there is a very strict regulation of temporary work which means that large grocery retailers must have the latest technology to comply with the regulations.
In the past the company used rudimentary methods which didn’t give them enough control over the hours worked by each employee. Furthermore, the company was aware of phishing between employees in different stores. In addition, wages were paid by a temporary recruitment agency which involved sending information of the hours worked by hundreds of employees to the temp agency for them to register in their AuraPortal in order to pay the worker’s wages.
To improve the effectiveness and efficiency of this process we decided to install a facial recognition machine in all the superstores to solve all the problems: on the one hand the facial recognition machine automatically sent all the information regarding hours worked by each employee directly to the temp agency and on the other hand it made phishing impossible.
The best way to predict the future is to create it. — Attributed to Peter Drucker —
We have all seen those lines on the airport floors or underground metro that help passengers get to their destinations, for example:
Follow the green light to go to terminals A, B and C
Follow the red line to go to the exit
Follow the yellow brick road to the World of Oz… Well you get the point!
Our next customer, due to the high volume of foot traffic in its building, needed a more intelligent control system since they had to dynamically classify the visitors, not only by where they came from and where they were going but also by many other concepts, for example if a certain area would get too hot because of high foot traffic, visitor illnesses, fire, etc. these routes had to be modified.
So they contacted us to see what we could propose.
We have all seen those lines on the airport floors or underground metro that help passengers get to their destinations, for example:
Follow the green light to go to terminals A, B and C
Follow the red line to go to the exit
Follow the yellow brick road to the World of Oz… Well you get the point!
Our next customer, due to the high volume of foot traffic in its building, needed a more intelligent control system since they had to dynamically classify the visitors, not only by where they came from and where they were going but also by many other concepts, for example if a certain area would get too hot because of high foot traffic, visitor illnesses, fire, etc. these routes had to be modified.
So they contacted us to see what we could propose.
I strongly believe in creativity, for me creativity is looking where everyone else is looking and seeing something that no-one else is capable of seeing. I also believe that creativity is knowledge, it’s important to know a lot about a specific topic in order to propose something new. We must have knowledge before we can create.
You must have deep knowledge of a topic in order to innovate, because if you don’t know where you are coming from you will never create where you are going.
— Attributed to AuraPortal —