AI Consulting for the coming Wave

AI changes Everything!

We help your business successfully integrate AI
to augment your Products, Processes, Platforms and Organization.

Achieve higher productivity, better customer experience and faster time-to-market.

Our Approach

Services

AI Bootcamp

Establish a foundational understanding of AI capabilities & trends.

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Opportunity Mapping

Identify and map AI opportunities relevant to improve your business.

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AI Strategy

Develop & articulate a tangible strategy supported by relevant stakeholders. Prioritize and align AI initiatives.

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Execution

Prototype and learn. Operationalize and scale into enterprise grade services. Get support from our network of experts.

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Why choose us?

Expertise

Years of experience in AI and digital transformation.
Network of AI experts.

Tailored Solutions

Customized strategies for your unique business needs
and technical infrastructure.

Results-Driven

Focus on delivering measurable business outcomes.
Promised!

AI Bootcamp

In 10 self-contained sessions of this bootcamp, we establish a foundational understanding of data analytics and AI concepts & capabilities. This is a critical starting point for further exploration of opportunities & trends and how they affect your team and your business. This comprehensive introduction is typically delivered as a 1-3 day interactive workshop, dependent on your choice of topical scope and engagement into practical examples and exercises.

1. Foundation

In 4 comprehensive sections you learn the fundamentals of AI, ML, LLMs and Generative AI.

Learning Outcomes

Understand basic data characteristics, requirements and quality principles for AI implementation
Understand the fundamentals of data analytics, AI, ML, and generative AI
Match different types of AI capabilities to potential business use cases
Get an overview of the AI tools landscape

From data to insights - Data Analytics

- Different types of business data (structured, semi-structured, unstructured etc.) - Data quality principles (completeness, accuracy, consistency, timeliness) - Types of analytics (descriptive, diagnostic, predictive, prescriptive) - Data governance

Introduction: What is AI, Machine Learning, Deep Learning, Generative AI

- Artificial Intelligence fundamentals - Machine Learning basic principles and approaches - Supervised vs Unsupervised Learning - Deep Learning core concepts and applications - Large Language Models - Key differences and relationships between these technologies

Overview of AI capabilities and use cases

- Computer Vision - Natural Language Processing - Speech Technologies overview - Predictive Analytics principles - Pattern Recognition - Generative AI capabilities

Generative AI Tools Landscape

Brief overview on SOTA tools to process Text, Research, Code, Image, Audio, Video, 3D, ...