ARTIFICIAL INTELLIGENCE

AI in products, services and processes

Lead the transition into an AI-driven future

Imagine a future where you work with the sharpest insights, the best data, and expert-level guidance right at your fingertips. AI has evolved beyond processing data—it learns from millions of examples, revealing new dimensions of insight and uncovering solutions to problems once thought unsolvable. But solving modern challenges isn't just about the technology—it’s about how creatively we apply it. 

So, not only seeing the big picture, but seeing it with clarity, and making decisions in the blink of an AI.

 Implementing AI is strategic. It cannot be outsourced to IT, silos, or partners because it ultimately transforms the company's operating model and market position.

– Henri Hyppönen, Chief Innovation Officer, Younite

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AI Capabilities to serve your need

In a world where every decision counts, we focus on central AI technologies to help businesses not just keep up, but stay ahead. At the heart of what we do are three powerful technologies: recommendation engines, foundation models, and predictive analytics. 

These transformative technologies empower businesses to find new ways to create value. In this age of rapid change, we help you harness the power of AI to see further, act faster, and unlock possibilities that weren’t visible before.

1. Recommendation Engines

Recommendation engines empower businesses to make smarter, data-driven decisions, streamline operations, and deepen customer engagement. These systems provide personalized suggestions, guiding individuals through a sea of options to the most relevant outcomes. At their core, these systems simplify decision-making, helping us find the best solution faster and more efficiently. Whether it's recommending a product, a playlist, or a news article, the impact of recommendation engines goes beyond consumer-facing interactions.

Operational Excellence

By leveraging advanced algorithms and user data, recommendation engines continuously learn and adapt, making their insights sharper with every interaction. They hold immense potential in optimizing internal operations, from managing workforce resources to fine-tuning resource allocation — offering businesses smarter ways to enhance performance across the board.

2. Foundation Models

Foundation models, or large AI models, are a broad category that includes large language models (LLMs) and models for tasks like image generation. These powerful systems, a form of generative AI, are pre-trained on vast datasets, giving them a rich foundation of knowledge. But what truly sets them apart is their ability to continuously learn from new inputs. With every interaction, they refine their understanding, adapting to ever-changing environments with ease.

Versatile across domains

The adaptability of foundation models goes far beyond text— they are equally adept at working with images, music, and even robotic control. This versatility allows them to serve as a robust foundation for specialized AI solutions across a range of industries, ensuring they can meet the unique demands of different domains. 

3. Predictive Analysis

Predictive analytics allows businesses to foresee future trends by analyzing historical and transactional data. It can help forecast outcomes such as customer demand, market behavior, or equipment failures. But they aren’t just about looking at data — they’re about staying one step ahead. Whether it's spotting opportunities in marketing or mitigating risks in supply chain management, these models help businesses act before problems arise. Predictive models offer valuable foresight that shapes better strategies and guides critical decisions.

Operational efficiency

Predictive analytics helps businesses to anticipate operational inefficiencies, allowing them to prevent issues before they arise. Whether it’s forecasting demand or predicting maintenance needs, companies can adapt quickly, optimize resources, and reduce costs. Fine-tuning your operations will unlock a new level of efficiency.

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Concrete use cases

Automatching in workforce optimization

With our innovative solution, recommendations can be seamlessly provided, allowing customers to discover resources that perfectly match their needs and preferences. Recommendation Engine is an AI tool specialized in matching resources with the available or needed task. It is a powerful tool that recommends the best possible and available option and is able to take into account multiple factors and conditions to achieve the best match.

Through a comprehensive analysis of customer preferences, product attributes or people skills and specific needs, our algorithm is able to match workforce and resources in a way that optimizes efficiency and satisfaction. This results in higher productivity, lower costs, and an improved overall experience.

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Predictive Insights for task optimization

Demand Prediction is an advanced forecasting tool that uses artificial intelligence to accurately anticipate a company´s need for resource allocation. This versatile solution uses a rich mix of historical data, previous behavior, and market trends to create reliable forecasts. The algorithm adapts to the unique characteristics of the industry and market and as a result, Demand Prediction can produce forecasts that help organizations to understand not only the 'how much,' but also the 'when' and 'where' of resource demand.

Demand Prediction helps companies make smarter, data-driven decisions that lead to improved operational efficiency, reduced costs and better resource allocation.

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Reach out to hear how to take a step ahead on your AI journey. 

Anne Eskola-Hickey

Chief Growth Officer

anne.eskola@younite.ai

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