“At Digital Sundai, we believe that the intelligent use of data and AI is the key to unlocking an organization’s full potential. Our mission is to empower businesses to make smarter decisions, optimize operations, drive innovation, and achieve unparalleled growth”
Our main services:
1) AI projects and journeys to Improve business with AI
2) Create a solid data foundation to support innovation and the value of your data
3) Grow AI & data capabilities for enduring digital success.
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Improve business with AI
Typical customer questions we address are:
- How do we turn data, data insights, analytics and GenAI into better business?
- What should our AI & Analytics roadmap look like?
- What should be our next Data & AI project?
- How do we get every person in my company on board of our digital transformation?
How do we improve business with AI?
Use cases
Apply an out-of-the-box way of thinking to devise, build and employ potential use cases
Road map
Discover and sketch your companies’ AI journey
Products
Explore data & AI products across sales, customer service and operations
How do we deliver the data product?
Agile way of working
We use a scrum approach for the most efficient approach towards getting the job done: gathering input, ranking priorities, planning short sprints and continuously processing feedback and solving problems as they occur.
AI methodology
We use the Google Cloud machine learning approach to gather the right input for your machine learning model, managing data through stages of extraction, analysis and transformation. This development is integrated in our MLOps approach.
Team skillsets
A multi-disciplinary team is key to connect business to GenAI, machine learning & data solutions in a responsible way. Digital Sundai employs its own resources and is part of a broad network, providing us with the opportunity to invoke top experts with different roles and a specific set of skills.
Tooling & technology
We strive to make collaboration and management as efficient and effective as possible, especially in a remote setting. Mastering tools like Slack, Jira Software and Mural allows for facilitating seamless collaboration. All major GenAI, Analytics and Cloud Data / ML platforms.
Examples of products we build
GenAI chatbot
Optimize pleasant, rich and accurate interaction with customers and automate repetitive services. Use a combination of GenAI and your own data through RAG.
Text analytics
Machine Learning enables analysis of the structure and meaning of written text. Deriving information about persons, places and events leads to better insight into sentiments on social media channels and client conversations.
AI logistics
Applying AI to improve the data needed to optimize logistical processes. By improving the quality of the logistics data (e.g stock, process step, location) with AI the operational logistical decisions improved dramatically.
Create a solid data foundation
Typical customer questions we address are:
- How to ensure the right quality of data, at the right place, at the right time?
- What is the best data platform for my organization?
- How to implement this data platform?
- How to set-up and implement Data management and Data governance best practices?
How do we create a solid data foundation?
Data governance
We provide Data Governance solutions that are tailored for your business. Our experts, with their deep industry knowledge and data and AI skills, collaborate closely with your team.
Data management
Our data management services ensure that your organization’s data is well-organized. Each of these services is integral to building a strong data management framework, crucial for realizing return on data.
Data platform & architecture
Services to design an architecture that fits your organization, to select the right data platform, and to implement and/or migrate to the platform.
Grow AI and data capabilities
Typical customer questions we address are:
- How to improve our data & analytics platform?
- How to set-up, implement a ML platform and organize MLOperations?
- How to build and organize data, analytics, (responsible) AI and ML Engineering competences?
- How to build a data & AI driven organization?
- How to become a responsible AI organization?
Focus on six perspectives determining impact on AI & Analytics performance
1. Strategy & leadership Intertwine AI with long-term business strategy and spark the transformational leadership needed to move towards a digital strategy
2. Talent & culture
The digital competences and mindset needed, with a specific focus on innovation, collaboration and bottom-up decision-making
3. Data
Data and the rules and processes needed to manage and govern data, accessibility and quality of data and compliance & security.
4. Digital platform
All digital tools necessary for creating and implementing AI & analytics solutions including ML models, AI services, data pipelines, data warehouses and data lakes. Focussing on Google Cloud technologies.
5. AI & Analytics
All resources and processes to improve business with AI & analytics, from experts and project methodology to compliance, security and ethics. Digital Sundai makes sure all aspects are accounted for.
6. Services & Operation
Integrating AI driven performance in all aspects of services and operations within your business.
In a typical project we determine the starting point on the data maturity curve for these six perspectives, develop the strategy and roadmap needed to take the business to the next level, and support you to implement it.
