Toward Business Transformation

Led by Dr. Hong-Linh Truong, we provide high-quality services for enterprises transforming their businesses with modern Data Analytics and Platforms, Data Science, AI/ML/LLMs Systems, Cloud Modernization, and AI Assistant/Agent.

CONSULTING AND DEVELOPING SOLUTIONS

Flexible Packages for Consulting and Developing Solutions

ON-DEMAND

Assess, analysis, and recommend for particular needs.

  • short time period
  • 1-5 cycles, 4 hours/1 cycle
  • including a meeting in 1 hour for discussion
Pre-study, Consulting

PROJECT-BASED

Research, develop, and deploy solutions and co-develop products.

  • within a project
  • according to specific project
  • according to project's scopes
Solutions, Products Development

REGULAR

Assess, analysis, and recommend for long-run transformation and modernization.

  • long time period
  • 3-6-9-12 months
  • including 2-4 monthly meetings (1 hour/meeting) for discussion
Consulting, Solutions Development

Our Consulting Process

01

Understanding Business Needs

The process initiates with the presentation of the problems/pain points by the enterprise, followed by a collaborative discussion and establishment of the key steps and required resources, concluding with an agreements on scoping.

This step may take 1-2 free hours meeting.

02

Initial Consulting Contract (1-5 Cycles)

In accordance with the finalized scope of work, we establish a short time period pre-study/assessment contract.

Some of the advisory topics include (i) feasibility analysis and assessment, (ii) High-level architecture design, (iii) Evaluations of solution candidates.

03

Scaling for long term modernization

We will then move forward with project-based or regular consulting to drive continuous modernization and transformation if required.

TRAINING AND BUILDING TEAMS

Core courses in Data Platforms, AI/ML/LLMs Systems, Cloud Modernization

Digital Transformation

Modernizing, Transforming and Automating Business and Operation Workflows with IoT, Data Analytics, and Cloud Services.

Making Data-centric Decision and Building Digital Workforce.

Data Platform Fundamentals and Technologies

Fundamentals and technologies for versatile data journeys: including architectures, data lifecycle management, data lakehouse and tiering, workflow analysis, and near real-time stream processing.

AI Agents, GenAI Services, and Agentic Systems

Fundamentals on large language models (LLMs) and agentic systems utilization, services and application integration for development and business tasks.

AI Implementation Strategies, Trustworthiness and Risks

Understand Potentials, Requirements, and How to apply: ML and AI/GenAI capabilities and their relationships for common use cases.

Trustworthy AI/GenAI, Principles and components of trustworthiness, potential risks and risk governance frameworks.

Customized courses with hands-on for practitioners

Data Quality Handling

High level view on Data Quality & Key principles to handle Data Quality.

Data quality in real-time systems.

Tools and hands-on.

Data Analytics for Operations

Data analytics for common use cases and suitable solutions for data platforms and infrastructure operations.

Workflows, Tools and hands-on.

Machine Learning (ML) Engineering

Preparing data, building, training, and deploying machine learning models and services.

Workflows, Tools and techniques.

Hands-on with real cases of customers/practitioners.

Workflow Systems and Programming Specialization

Workflow and Distributed Programming Models.

Airflow Introduction and Hands-on basic workflow.

Managing data exchange in workflows.

Airflow complex automation workflows.

Advanced data analysis workflows: analysis, scheduling, resources.

Workflows specialized for different application domains.

GenAI/LLM workflow hands-on: using workflow technologies to design and create workflows integrating AI/LLM services with multiple types of other services for complex business processes.

AI training modules tailored for development teams

Targets:

Making strategic AI decisions, developing AI strategies and roadmap for digital transformation, evaluating AI risks.

Assess existing solutions/tools, integrate existing solutions/tools, designing AI/ML services with current infrastructures/systems, modernizing IT services.

Understanding AI/ML programming, coding/developing AI/ML models, training/deploying AI/ML services/models, monitoring and managing AI/ML services (observability).

Ready to transform your business? CONTACT US NOW!

contact@daienso.com