Bringing digital-native expertise with cloud consulting to enable the Cloud Transformation
Incedo IP & Accelerators
Technology leader with 16+ years of experience in Enterprise wide Big Data Platform Implementation, Solution Design and Architecting, Data security and ML algorithms for Large US organizations across Telecom, Retail and Pharma globally. Is certified in multiple AI/ML, Azure & AWS cloud, and PMP certifications.
Shailesh is a technology leader with vast experience in building cloud-native applications from ground up and at the same time have expertise in breaking up a large monolithic enterprise applications into container based Micro Services and migrate to AWS Cloud. His expertise includes building Cloud based architecture, setting up DevOps processes, CI/CD pipeline, infrastructure automation in a multi-region setup with out of the box monitoring, security and disaster recovery solution.
A Cloud Security expert with 15 years of experience in in Security Strategy and Risk, Cloud Security architecture, Implementation and governance, advisory & consulting on regulatory compliance and client data protection.
Rahul is highly skilled in developing and setting up Cloud Security Reference architecture for AWS, Azure & GCP, implementing and assessing ISO 27001:2013 ISMS & PCI DSS practices, formulating policies and processes, security Risk Assessment, designing Security Roadmap for clients and security awareness at large scale. He has worked for clients across India, UK & Ireland.
Jakkam Durga Prasad
Durga is a technology expert with 12+ years of experience that spans from mainframe programming to setting up cloud migration strategy on AWS. He has worked with large clients to implement and execute large scale migration programs which included application and database migration to AWS, setting up CI/CD pipelines and Infra as a code templates for quick environment setup.
A bank wanted to engage with customers digitally to remain relevant to the growing younger (more tech-savvy) demographic. Digital channels had no ways of achieving scale, real time action ability did not exist and all functions were managed in silos.
Incedo designed a scalable and highly available system where this data was migrated. A central data lake was created on AWS using S3 data storage which was used to run analytics to improve email campaigns, real time customer targeting and also see the impact of the marketing spend in terms of dashboard reports.
The scalable data lake created by Incedo led to the creation of an analytics platform which significantly improved our Email marketing campaign and real time customer targeting leading to more sales conversion, card sales and a significant revenue gain
General Manager of a leading Bank
Incedo transformed and re-architected the monolithic and manual reward redemption platform of a financial services customer into an automated and robust AWS Cloud hosted architecture. The older reward management platform had various issues like complexity, redundant processes, lack of dashboards and isolated systems for third party integration. After the overhaul the overall process flow for rewards management (promotion creation, rewards upload, rewards tracking and disbursement of funds to account) became more transparent and error free. The new system both created an amazing customer experience, and also reduced costs and provided more important information to the financial services firm.
Our Reward management system was completely overhauled by Incedo making it more efficient and automated
Senior Director of a leading Financial Services company
A life sciences client had their data storage system used to mine and visualize the datasets to enable scientific insights, discovery and predictive toxicology efforts for safety assessments. However the data was spread across different sources and was in hundreds of different formats. The data had to be migrated to Azure for consolidation and curated and converted to FDA approved formats.
We did a detailed data assessment and planning exercise which included studies data across thousands of studies, grouping the study data based on affinity of data sets, source and structure and migrated the data to Azure.
The standardization of all data into a single format and Integration of all data sources into one platform led to enabling advanced data query capability accelerating scientific insights and predictive toxicology efforts. This translated into both improving patient outcomes, and reducing the cost of healthcare delivery.
The data sets consolidation and migration to Azure done by Incedo have greatly improved our efforts towards Predictive toxicology
Vice President of a Large Life Sciences firm
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At the end of this 30 min session, walk out with:
- Validation of your project idea/ scope of your project
- Actionable insights on which technology would suit your requirements
- Industry specific best practices that can be applied to your project
- Implementation and engagement plan of action
- Ballpark estimate and time-frame for development