The Business Case for Robotic Process Automation (RPA)Joe Tawfik
This paper by Kinetic Consulting Services (www.kineticcs.com) outlines the business case for Robotic Process Automation (RPA). It examines the commercial and strategic aspects of RPA.
Robotic Process Automation for Financial ServicesAppian
Robotic Process Automation (RPA) is emerging as a cost-effective technique to get work done in Financial Services Institutions (FSIs).
With the advent of RPA, executives should reconsider how they manage organizational business processes and support information technology.
Learn more about robotic process automation and the transformation continuum in this executive perspective: http://ap.pn/2jYWrMG
What You Need to Know About Robotic Process Automation: How It Works & Real-W...Captricity
Insurers of all sizes are responsible for processing millions of paper documents each year (including complex handwritten forms). From new business applications to claim forms to death certificates., existing document capture and digitization solutions typically lead to sub-par accuracy, NIGO rates that require expensive and time-consuming manual re-work, and long turnaround times leading to a poor customer experience. Join us to hear the key challenges insurers face in onboarding automated solutions and learn how 5 of the Top 10 U.S. life insurers are automating customer forms and documents without heavy investments in IT resources.
Applying Robotic Process Automation in Banking: Innovations in Finance and Riskaccenture
Robotics is quickly gaining traction in banks to automate their everyday finance and risk processes. Accenture's presentation covers the impact of Robotic Process Automation (RPA) on a bank's finance and risk function. Read Philippe Guyonnet’s blog to learn more about RPA in banking and finance and risk innovation:http://bit.ly/2dprACR
EnableSoft's Foxtrot Robotic Process Automation is restructuring workloads in over 500 organizations globally. See how businesses use Robotic Process Automation to increase their efficiency, productivity, and profitability.
The Business Case for Robotic Process Automation (RPA)Joe Tawfik
This paper by Kinetic Consulting Services (www.kineticcs.com) outlines the business case for Robotic Process Automation (RPA). It examines the commercial and strategic aspects of RPA.
Robotic Process Automation for Financial ServicesAppian
Robotic Process Automation (RPA) is emerging as a cost-effective technique to get work done in Financial Services Institutions (FSIs).
With the advent of RPA, executives should reconsider how they manage organizational business processes and support information technology.
Learn more about robotic process automation and the transformation continuum in this executive perspective: http://ap.pn/2jYWrMG
What You Need to Know About Robotic Process Automation: How It Works & Real-W...Captricity
Insurers of all sizes are responsible for processing millions of paper documents each year (including complex handwritten forms). From new business applications to claim forms to death certificates., existing document capture and digitization solutions typically lead to sub-par accuracy, NIGO rates that require expensive and time-consuming manual re-work, and long turnaround times leading to a poor customer experience. Join us to hear the key challenges insurers face in onboarding automated solutions and learn how 5 of the Top 10 U.S. life insurers are automating customer forms and documents without heavy investments in IT resources.
Applying Robotic Process Automation in Banking: Innovations in Finance and Riskaccenture
Robotics is quickly gaining traction in banks to automate their everyday finance and risk processes. Accenture's presentation covers the impact of Robotic Process Automation (RPA) on a bank's finance and risk function. Read Philippe Guyonnet’s blog to learn more about RPA in banking and finance and risk innovation:http://bit.ly/2dprACR
EnableSoft's Foxtrot Robotic Process Automation is restructuring workloads in over 500 organizations globally. See how businesses use Robotic Process Automation to increase their efficiency, productivity, and profitability.
Robotic process automation: who is buying, and why?UiPath
I recommend business decision-makers use this logic as a lodestone to guide themselves past any confusion; the
point of innovative technology must be better automation, because only better automation can produce better business
outcomes.
Each month, join us as we highlight and discuss hot topics ranging from the future of higher education to wearable technology, best productivity hacks and secrets to hiring top talent. Upload your SlideShares, and share your expertise with the world!
Not sure what to share on SlideShare?
SlideShares that inform, inspire and educate attract the most views. Beyond that, ideas for what you can upload are limitless. We’ve selected a few popular examples to get your creative juices flowing.
Reproducibility in artificial intelligenceCarlos Toxtli
In this presentation, we explore how artificial intelligence experiments can be reproduced by implementing three different approaches such as: Reproducibility frameworks, Reproducible benchmarking tools, and Reproducible standalone methods.
Autom editor video blooper recognition and localization for automatic monolo...Carlos Toxtli
Multimodal video action (bloopers) recognition and localization methods for spatio-temporal feature fusion by using Face, Body, Audio, and Emotion features
Artificial intelligence and open sourceCarlos Toxtli
Artificial Intelligence and open source are intimately related. In this talk, we explain how AI exists because of open source, and open source exists because of AI.
How to implement artificial intelligence solutionsCarlos Toxtli
In this presentation, we show how a novice can learn artificial intelligence and implement the basic principles in real-world solutions. There is an easy quick start guide.
Robotic process automation: who is buying, and why?UiPath
I recommend business decision-makers use this logic as a lodestone to guide themselves past any confusion; the
point of innovative technology must be better automation, because only better automation can produce better business
outcomes.
Each month, join us as we highlight and discuss hot topics ranging from the future of higher education to wearable technology, best productivity hacks and secrets to hiring top talent. Upload your SlideShares, and share your expertise with the world!
Not sure what to share on SlideShare?
SlideShares that inform, inspire and educate attract the most views. Beyond that, ideas for what you can upload are limitless. We’ve selected a few popular examples to get your creative juices flowing.
Reproducibility in artificial intelligenceCarlos Toxtli
In this presentation, we explore how artificial intelligence experiments can be reproduced by implementing three different approaches such as: Reproducibility frameworks, Reproducible benchmarking tools, and Reproducible standalone methods.
Autom editor video blooper recognition and localization for automatic monolo...Carlos Toxtli
Multimodal video action (bloopers) recognition and localization methods for spatio-temporal feature fusion by using Face, Body, Audio, and Emotion features
Artificial intelligence and open sourceCarlos Toxtli
Artificial Intelligence and open source are intimately related. In this talk, we explain how AI exists because of open source, and open source exists because of AI.
How to implement artificial intelligence solutionsCarlos Toxtli
In this presentation, we show how a novice can learn artificial intelligence and implement the basic principles in real-world solutions. There is an easy quick start guide.
Developing an AI First Draft instead of an AI MVPs, an approach to incremental usefulness. This work pushes the concept of "First draft instead of Minimum viable product" when it comes to an AI related project. This is mainly because an AI MVP may never see the light if we are looking for a "Viable" first version. There are some design principles and lessons that I have learned from industry, academia, and the startup world.
Inteligencia Artificial From Zero to HeroCarlos Toxtli
En esta presentación explicamos los principios básicos de las técnicas actuales de inteligencia artificial y lo mínimo indispensable que hay que saber para estructurar y desarrollar una solución básada en inteligencia artificial.
Bots are able to perform repetitive actions, mimic human interaction and understand the world through sensors. Most of the existing bots are designed to serve individual users rather than integrating them as part of a group and attend different petitions by understanding the context and keeping track of the group task flow. The motivation is to understand which drivers are important to guarantee effective crowd interaction with bots and provide guidelines to platform designers. I have studied how bots can be useful in human environments such as education, social good, workplaces, and crowd marketplaces.
ExperTwin: An Alter Ego in Cyberspace for Knowledge WorkersCarlos Toxtli
ExperTwin is a Knowledge Advantage Machine (KAM) that is able to collect data from your areas of interest and present it in-time, in-context and in place to the worker workspace. This research paper describes how workers can be benefited from having a personal net of crawlers (as Google does) collecting and organizing updated data relevant to their areas of interest and delivering these to their workspace.
Enabling Expert Critique with Chatbots and Micro-Guidance - Ci 2018Carlos Toxtli
To enable at scale access to critique we present MATT, a chatbot that micro-guides experts to critique in short bursts of time with mediated communication to address experts' time and privacy concerns.
Cómo vivir de la inteligencia artificialCarlos Toxtli
En la actualidad Inteligencia Artificial es una de las áreas con más interés de parte de la academia y la industria. En esta charla exploramos como incursionar Y posicionarse en esta área.
Effective task management is essential to successful team collaboration. While the past decade has seen considerable innovation in systems that track and manage group tasks, these innovations have typically been outside of the principal communication channels: email, instant messenger, and group chat. Teams formulate, discuss, refine, assign, and track the progress of their collaborative tasks over electronic communication channels, yet they must leave these channels to update their task-tracking tools, creating a source of friction and inefficiency. To address this problem, we explore how bots might be used to mediate task management for individuals and teams. We deploy a prototype bot to eight different teams of information workers to help them create, assign, and keep track of tasks, all within their main communication channel. We derived seven insights for the design of future bots for coordinating work.
Los empleos del futuro en LatinoaméricaCarlos Toxtli
El impacto de la tecnología en los empleos del futuro no impactará de la misma forma en distintas regiones del planeta. Es importante estar preparados a los cambios en las dinámicas del empleo en nuestra región. Inteligencia artificial, economia colaborativa y blockchain moldearán las ocupaciones de las próximas decadas.
Empleos que ya están siendo reemplazados por bots y el futuro del RPA (Roboti...Carlos Toxtli
Las cifras de empleos que están siendo reemplazados por agentes informaticos crecen año con año de forma acelerada, tan solo en 2014, 230 mil empresas más adquirieron bots que desplazaron puestos de trabajo, se espera que para el 2025 la cifra ascienda a 140 millones de trabajos desplazados, que es una cifra equiparable a la población total de Rusia. Tomando en cuenta que el 45% de los puestos de trabajo son reemplazables por tecnología y eso significa una derrama de más de 3 trillones de dolares, es un mercado jugoso para los actuales y futuros competidores. ¿Estás listo para formar parte activa de esta 4a revolución industrial?
La automatización por software cada vez cobra más importancia desde que la inteligencia artificial y la simulación de interacciones humanas han llegado a un nivel óptimo para automatizar tareas intelectuales que los humanos desempeñaban. Los puestos de trabajo que incrementalmente han sido desplazados por maquinas son los denominados BPO (Business Process Outsourcing) que equivalen al 45% de los empleos en la actualidad. En esta presentación platicarémos de los retos y avances de esta área de la automatización que crece vertiginosamente.
Si bien los hospitales conjuntan a profesionales de salud que atienden a la población, existe un equipo de organización, coordinación y administración que permite que los cuidados clínicos se otorguen de manera constante y sin obstáculos.
Mario García Baltazar, director del área de Tecnología (TI) del Hospital Victoria La Salle, relató la manera en la que el departamento que él lidera, apoyado en Cirrus y Estela, brinda servicio a los clientes internos de la institución e impulsa una experiencia positiva en el paciente.
Conoce el Hospital Victoria La Salle
Ubicado en Ciudad Victoria, Tamaulipas, México
Inició operaciones en el 2016
Forma parte del Consorcio Mexicanos de Hospitales
Hospital de segundo nivel
21 habitaciones para estancia
31 camas censables
13 camillas
2 quirófanos
+174 integrantes en su plantilla
+120 equipos médicos de alta tecnología
+900 pacientes atendidos
Servicios de +20 especialidades
Módulos utilizados de Cirrus
HIS
EHR
ERP
Estela - Business Intelligence
Escaneo y eliminación de malware en el equiponicromante2000
El malware tiene muchas caras, y es que los programas maliciosos se reproducen en los ordenadores de diferentes formas. Ya se trate de virus, de programas espía o de troyanos, la presencia de software malicioso en los sistemas informáticos siempre debería evitarse. Aquí te muestro como trabaja un anti malware a la hora de analizar tu equipo
Los desafíos de calidad de software que nos trae la IA y los LLMsFederico Toledo
En esta charla, nos sumergiremos en los desafíos emergentes que la inteligencia artificial (IA) y los Large Language Models (LLMs) traen al mundo de la calidad del software y el testing. Exploraremos cómo la integración, uso o diseño de modelos de IA plantean nuevos retos, incluyendo la calidad de datos y detección de sesgos, sumando la complejidad de probar algo no determinístico. Revisaremos algunas propuestas que se están llevando adelante para ajustar nuestras tareas de testing al desarrollo de este tipo de sistemas, incluyendo enfoques de pruebas automatizadas y observabilidad.