Entrepreneurship

Charting the Path of Entrepreneurial Excellence

Dr. Faisal Kamiran, a visionary in AI, Data, and Machine Learning, founded Addo in 2017, recognized by Forbes for its AI innovation. With a decade of experience, he’s led impactful projects from corporations to governments in various industries such as healthcare, finance, and telecom, empowering businesses by harnessing the power of data and transforming lives through digital innovation. Discover his inspiring journey in entrepreneurship.

Enhanced data consolidation and analytics for a developing country’s Bureau of Statistics by establishing ‘A Single Source of Truth’.

Dr. Faisal leads project to develop an online statistical system for a developing country

Enhanced data consolidation and analytics for a developing country’s Bureau of Statistics by establishing ‘A Single Source of Truth’.

Addo, under the leadership of Dr. Faisal Kamiran, was awarded the contract for the development of an online statistical system in collaboration with the Bureau of Statistics of a developing country’s government. During the project Addo’s main focus was on the procurement and implementation of an end-to-end solution for master data management, and a business intelligence tool for reporting, visualization, and analytics.

The project included the consolidation of data from 12 different government departments to create ‘A Single Source of Truth’ thereby allowing data-driven decision making. The final product was a ‘Master Data Management System’ created through the implementation of at least ‘12 BI use-cases’.

Technology Stack:

Apache Airflow
Trino
Kafka
Delta Lake
Mysql
Apache Parquet
MinIo
Apache hadoop (metastore hive)
Superset
Open Metadata
Apache Spark
MLlib (Apache Spark)
Click House
Logstash
Elastic search

Partnered with IsDB for the development of a COVID-19 command and control center for the Ministry of Health Indonesia.

Partnered with IsDB for the development of a COVID-19 command and control center for the Ministry of Health Indonesia.

The Ministry of Health in a Southeast Asian country sought to harness data and AI to combat COVID-19, monitor its transmission, and optimize resource allocation. Challenges included data transformation and workforce upskilling. In collaboration with IsDB, Addo developed an Intelligent Data Platform, integrated AI use cases for predicting patient stay, identifying at-risk individuals and hotspots, and provided specialized training in Data Science, Data Engineering, and Cloud to build in-house AI implementation capacity. The results included improved resource management, reduced COVID-19 spread risk, and effective crowd management policy-making, demonstrating the power of data and AI in public health crisis response.

Technology Stack:

Google Cloud Platform
Google Cloud Storage
Google Cloud Run
Google Vertex AI and Compute Engine
Google Data Flow
Docker
Google BigQuery
PowerBI
Flask

Provided a leading Asian telecom with scalable AI solutions to automate their call center quality and audit management system.

Provided a leading Asian telecom with scalable AI solutions to automate their call center quality and audit management system.

A leading Asian telecom company aimed to improve their manual and time-consuming call center quality audit process, lacking scalability and feedback. Addo devised an efficient and scalable solution comprising AI engines (speech and language analysis), integration, and a dashboard. These AI engines transcribed and evaluated calls, detecting tones and generating scores. The integrated dashboard displayed key call center KPIs, ranking agent performance, and offering personalized feedback through a Training Portal. The result was a significant reduction in audit hours, increased audits, improved agent training, enhanced customer care quality, and actionable insights from interactive dashboards, ultimately leading to greater customer satisfaction.

Technology Stack:

Librosa
Gensim
Kaldi
NLTK
spaCy
Pytorch
Scikit-Learn
Tensorflow

Developed a data strategy for the implementation of an AI-enabled Big Data Platform for a large US- based healthcare network.

Developed a data strategy for the implementation of an AI-enabled Big Data Platform for a large US- based healthcare network.

A large healthcare network faced challenges stemming from fragmented data, duplication, and architectural issues, hindering their strategic vision. Addo implemented a unified AI-enabled Big Data Platform to centralize data management, facilitate efficient decision-making, data accessibility, and support data science and AI workloads. The solution included data migration to the cloud, legacy system sunset, data analytics environment setup, data governance, BI reports, and AI use case implementation. This resulted in reduced IT infrastructure costs, accelerated analytics delivery, and the establishment of a single source of truth for information.

Technology Stack:

Stack:
Azure DevOps
Azure Synapse
Azure Data Lake Storage Gen2
Azure Cognitive Services
Databricks
Power BI
Azure Machine Learning
Informatica

Implemented a data-driven strategy for an Asian telecom to transform data infrastructure into real-time insights.

Intelligent Data Platform for Asian Telecom

Implemented a data-driven strategy for an Asian telecom to transform data infrastructure into real-time insights.

A telco faced the challenge of creating a comprehensive real-time view of customer data and business operations while reducing costs by phasing out legacy systems. The solution involved designing, provisioning, and optimizing a modern data platform architecture, which included migrating 20TB+ of data, integrating 50+ data sources, implementing tiered storage for cost optimization, and enabling data virtualization for improved access management. This platform led to real-time insights, a 2x reduction in infrastructure and licensing costs, successful implementation of 75+ use cases, and the daily generation of ~25 TB of data within two years of its launch.

Technology Stack:

Kubernetes
Talend
Jupyter
Notebook
YARN
Sqoop
Qlik
Cloudera/HDFS
Hive
Vertica
Apache hadoop
Apache Spark

Developed an AI-solution which enables a 360-degree view of customer behavior for a travel retail company in Singapore.

Developed an AI-solution which enables a 360-degree view of customer behavior for a travel retail company in Singapore.

A multi-national travel retail company sought to increase their marketing ROI by better understanding and targeting customer segments. Addo provided a comprehensive solution, creating an AI engine that offered a '360-degree view' of customer behavior and habits, accessible via dashboards across all departments. This knowledge allowed for precise marketing strategies, improving campaign conversion rates. The AI engine also predicted product purchases through deep neural networks. The collaboration of Machine Learning Engineers, Integration Engineers, Cloud Engineers, and Solutions Architects led to impressive outcomes, including a holistic customer view, improved campaign turnover, and reduced overall costs. Addo's solution showcased its commitment to delivering impactful AI solutions for marketing optimization.

Technology Stack:

Technology Stack:<
AWS S3<
Alteryx<
Tensorflow<
Apache spark<
AWS Sagemaker<
AWS EMR<
Sci-kit learn<

Integrated an AI-driven solution to optimize chatbot services for a leading Indonesian bank for enhanced customer experience.

Integrated an AI-driven solution to optimize chatbot services for a leading Indonesian bank for enhanced customer experience.

In response to a well-reputed bank's need for an improved customer service chatbot, Addo provided a comprehensive solution. The challenge involved optimizing conversation flows, integrating internal systems, and enhancing scalability, as the existing chatbot was underperforming and yielding low customer satisfaction scores. Addo's solution included a thorough assessment of the chatbot's current state, an optimization strategy, and a vision for the future state architecture. Key components of the optimization strategy involved dialog flow refinement and backend/code enhancements, with a team of NLP Engineers, Data Scientists, and technical experts. The results were impressive, with significant improvements in customer satisfaction and increased user engagement, affirming Addo's commitment to delivering effective AI solutions.

Technology Stack:

Chatbase
Kubernetes
Node.js
Docker
Cloud VPC
Google Cloud Functions
Google Cloud Storage
Google App Engine
Stackdriver
Google Dialogflow
PubSub
Google Cloud Platform

Pioneered the first-of-its-kind Crime Investigation and Prevention Lab at ITU: Advancing Crime Pattern Discovery, Enhancing Surveillance and Crime Analytics, and Data-Driven Solutions for Crime Prevention.

Pioneered the first-of-its-kind Crime Investigation and Prevention Lab at ITU: Advancing Crime Pattern Discovery, Enhancing Surveillance and Crime Analytics, and Data-Driven Solutions for Crime Prevention.

Dr. Faisal Kamiran is the Director of the Crime Investigation and Prevention Lab at ITU which provides a platform for research, development and implementation of data-driven solutions for crime pattern discovery and optimal surveillance. The Lab is developing an integrated data repository by combining relevant information from multiple heterogeneous resources to private high-speed computing infrastructure for real-time crime analytics and suspect identification. CIPL’s goal is to achieve predictive policing by analyzing socio-economic and Spatio-temporal factors, mapping criminal activities and determining patterns associated therein. In long term goals, the lab would assist other public and private institutions for the use of machine learning and data analytics for trend analysis.

Dr. Faisal Kamiran

Dr Faisal Kamiran

Need Help?

Entrepreneurship

Charting the Path of Entrepreneurial Excellence

Enhanced data consolidation and analytics for a developing country’s Bureau of Statistics by establishing ‘A Single Source of Truth’.

Partnered with IsDB for the development of a COVID-19 command and control center for the Ministry of Health Indonesia.

Provided a leading Asian telecom with scalable AI solutions to automate their call center quality and audit management system.

Developed a data strategy for the implementation of an AI-enabled Big Data Platform for a large US- based healthcare network.

Implemented a data-driven strategy for an Asian telecom to transform data infrastructure into real-time insights.

Developed an AI-solution which enables a 360-degree view of customer behavior for a travel retail company in Singapore.

Integrated an AI-driven solution to optimize chatbot services for a leading Indonesian bank for enhanced customer experience.

Pioneered the first-of-its-kind Crime Investigation and Prevention Lab at ITU: Advancing Crime Pattern Discovery, Enhancing Surveillance and Crime Analytics, and Data-Driven Solutions for Crime Prevention.

Dr. Faisal Kamiran

Dr. Faisal Kamiran

Navigation

Contact

Need Help?

Entrepreneurship​

Charting the Path of Entrepreneurial Excellence

Navigation

Contact

Entrepreneurship