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©2024- Insbuilt Cloud & Analytics - AWS Partner Advanced
Advanced analytics is becoming increasingly important within organizations, they are supporting Artificial Intelligence (AI) techniques to optimize and automate their operational processes. Some of the business needs that can be solved with AI / ML in organizations are: demand prediction, fraud detection, document checking and classification, customer classifications based on their risk levels, facial and voice recognition of employees, streamline sales processes in e-commerce with personalized recommendations, improve customer service, among others.
Many of these models are created on Data Sceintists local devices without allowing them to be run automatically or without the ability to scale to the sizes that companies require to be run.
Within AWS there are already certain ready to use AI services such as Amazon Forecast that allows to generate demand predictions based on historical data or Amazon Rekognition that analyzes images identifying emotions, objects, people, among others.
In our experience in different industries, we have observed that many organizations do not have defined frameworks (Artificial Intelligence frameworks) where end-to-end workflows are carried out, along with security and governance controls thats manages risks such as non allowed acceses, data without encryption, keep data clean to work the model, autoscaling of machines without the need for human intervention, replication and data backup.
This is where Amazon Sagemaker can be key, as it is a fully managed service that enables developers and data scientists to prepare, build, train, and implement machine learning models at scale; however, it is necessary to take into account some considerations so that the use of this platform provides good results.
First of all, knowing the use case of the model, that is, once the business needs to be solved through AI / ML has been decided and defined, it is necessary to evaluate whether it is possible to find a solution with some other service within AWS. For example, if the objective is to generate personalized recommendations in an e-commerce for a group of users, you could consider using Amazon Personalize, but if you not only want to use a service (such as a black box) or inside your organization you have internal capabilities of Advanced Analytics and, on the contrary, they want to have more control of the model and be able to modify parameters for a potential improvement, the next thing would be to choose to work with one of the integrated AWS Sagemaker algorithms in case one fits the use case.
If any of the above options is not viable and it is best to develop the model from scratch, the programming language to be used must be evaluated, since Sagemaker allows working with Python and R only. With the above defined, it is important to take into account other factors such as:
Amazon SageMaker not only improves the speed of machine learning implementation for companies, but also all phases of machine learning.
If you want to understand how to carry out an agile project by migrating your Artificial Intelligence (AI) models with AWS or you want to know more about our experiences and AWS services, contact us here.
Póngase en contacto con nosotros para saber más sobre nuestros servicios, tomar un café y comenzar la transformación digital de su compañía.
©2024- Insbuilt Cloud & Analytics - AWS Partner Advanced
Advisory
En Insbuilt trabajamos de la mano con usted, su equipo, sus procesos y sus objetivos.
Lo acompañamos en la implementación de soluciones innovadoras basadas en la nube, pensando en ella como el entorno digital donde sus ideas cosecharán los mejores resultados.
– Talleres de adopción de la nube para alta y media dirección (Cloud Adoption Framework – CAF)
– Estructura inicial cloud / Célula Cloud (Personas y perfiles)
– Planes de capacitación
– Procesos de transición a la nube
Migración a la nube
Nunca estará solo. Nuestro equipo profesional lo acompaña en cada paso que de para adoptar la nube. Tanto líderes como colaboradores de soporte tendrán siempre un proceso de participación en las implementaciones y de aprendizaje paralelo bajo modernos esquemas ágiles.
Assessment (Evaluación de workloads)
Readiness & Planning (Diseño del plan de migración)
Landing Zone (Control Tower)
Migraciones
SAP on AWS (Descubrimiento y Migraciones)
Data & Analytics
En esta nueva economía, el dato está en el corazón de todos los negocios. Las soluciones de la nube, le habilitan conocer mejor los mercados actuales a partir de la información de los usuarios, consumidores o beneficiarios de sus servicios o productos. Aproveche la información para el mejoramiento de su oferta comercial y de su negocio en general.
Discovery Workshops
Data Lakes iniciales
ETLs y Visualización
Machine Learning / Inteligencia Artificial (ML/AI)
El factor humano es la clave en la adopción y transformación digital. Nuestra gente, posee diversas capacidades para facilitar cualquier etapa de la adopción digital. Proveemos recursos a modalidad de tiempos y materiales para proyectos transformacionales en la nube. Típicamente alocamos recursos de:
People is key to Cloud adoption and digital transformation. Our experts have different skills to facilitate any stage of digital adoption. We provide resources in the form of time and materials for transformational projects in the cloud. We typically allocate resources from:
Advisory
At Insbuilt we work hand in hand with you, your team, your processes and your goals.
We accompany you in the implementation of innovative cloud-based solutions, thinking of it as the digital environment where your ideas will reap the best results.
– Cloud adoption workshops for senior and middle management (Cloud Adoption Framework – CAF)
– Initial cloud structure / Cloud Cell (People and profiles)
– Training plans
– Cloud transition processes
Cloud Migration
You will never be alone in this journey. Our professional team accompanies you in every step you take to adopt the cloud. Both leaders and support collaborators will always have a process of participation in implementations and parallel learning under modern agile schemes.
Assessment (Workload Evaluation)
Readiness & Planning
Landing Zone (Control Tower)
Migrations
SAP on AWS (Discovery and Migrations)
Data & Analytics
In this new economy, the data is at the heart of all businesses. Cloud solutions enable you to better understand current markets based on information from users, providers or consumers of your services or products. Take advantage of the information to improve your commercial offer and your business in general.
Discovery Workshops
Data Lakes
ETLs and Visualization (BI)
Machine Learning / Artificial Intelligence (ML / AI)
We know that the challenge of migrating to the cloud is complex. Operating and maintaining workloads requires additional staff that sometimes the organizations budget does not contemplate.
Sabemos que el desafío de migrar a la nube es complejo. Operar y mantener los workloads requiere personal adicional que a veces el presupuesto de las organizaciones no contemplan.