Why Your ML Model Requires a Product Approach: A Case Study

In the field of machine learning, many teams face a critical challenge: developing models that, despite achieving high levels of accuracy during validation phases, fail to generate business results once implemented. This phenomenon has been evident in situations where, after achieving a 94% accuracy rate in the validation set, a recommendation engine has not been able to drive the expected

Karbon-X: Promoting Community Forest Protection in the Meta Region, Colombia

In the heart of the Meta department, Colombia, Karbon-X Corp. is driving an ambitious conservation program called the REDD+ South Meta Project. This initiative covers 40,637 hectares of natural forest and aims not only to protect the environment, but also to improve the living conditions of around 1,000 families in the region. Developed by ALLCOT, the development and project advisory

Optimizing Efficiency in FM Training on Amazon SageMaker Through Fine-tuning Spectrum

The optimization of generative artificial intelligence applications is constantly evolving, driven by techniques that seek to personalize base models more efficiently. Among these techniques are prompt engineering, document retrieval, continuous pretraining, and fine-tuning, which are essential for maximizing value and reducing resource demands during model training. Recently, an innovative approach known as Spectrum has been introduced, focusing on identifying the

Advantys and Lorum: Empowering Digital Transformation in the Real Estate Sector.

The digitalization of the real estate sector is advancing firmly thanks to the strategic partnership between Advantys and Lorum. Both companies have decided to collaborate to integrate Lorum4RE, a system designed specifically for real estate management, with Sage technology, a leading reference in the development of accounting, tax, and regulatory software. Advantys, known for its technological expertise and as a

Claude’s Deployment Patterns and Best Practices in Amazon Bedrock

Claude Code, the AI-powered coding assistant from Anthropic, is transforming the way developers interact with code. Thanks to its ability to perform interactions in natural language, Claude Code simplifies the writing, reviewing, and modifying of code, enhancing efficiency in development processes. In an effort to further optimize its implementation, Anthropic has partnered with Amazon Bedrock, a fully managed service that

Amazon Bedrock Guardrails Expands Its Support in the Code Realm.

Amazon Bedrock Guardrails has launched new features designed to ensure the development of generative artificial intelligence applications, focusing specifically on code generation. This system offers configurable safeguards that act as protection against unwanted content in key code elements, such as user requests, comments, variables, function names, and string literals. With the growing adoption of AI systems in software development, security

Amazon and AI: Optimization of Compliance Evaluation in Millions of Daily Transactions

Amazon has launched an advanced compliance system that uses artificial intelligence (AI) to monitor transactions and ensure that regulations are met globally. This initiative is part of a broader strategy that aims to mitigate risks associated with sanctions and other regulations, which can have significant financial and reputational consequences for the company. The system, called Amazon Compliance Screening, has the

Announcement of AWS Well-Architected Responsible AI Focus.

The increasing complexity of artificial intelligence (AI) applications has presented many developers with the challenge of balancing the benefits and risks associated with this technology. As the demand for robust and ethical solutions grows, access to resources to guide non-experts in critical design decisions has become scarce. However, the situation is changing with the launch of AWS’s new Responsible AI

Essential Guide to Labeling Moving Boxes: Colors, Codes, and Inventory

In an effort to optimize the moving process and improve organization in a typically chaotic time, logistics and design experts have proposed a innovative labeling system for moving boxes. This method combines the use of colors, codes, and digital inventory, allowing users to identify and classify their belongings more efficiently. The new labeling system is based on a color code

Case Study: Wayve and its Innovative Proposal in the Transportation Sector

The automotive landscape in the UK is undergoing a significant transformation, marked by the rapid adoption of electric vehicles (EVs) and fierce competition for leadership in autonomous driving. While the UK is often considered to be lagging behind the US in EV implementation, the country has surpassed the US in sales penetration, reaching close to 30% in 2024, contrasting with

Building an Agent Solution with Amazon Nova, Snowflake, and LangGraph

A new approach to process automation in the insurance industry is being driven by autonomous artificial intelligence, known as Agentic AI. This type of artificial intelligence combines traditional and generative capabilities to operate with minimal supervision, allowing organizations to carry out complex tasks more efficiently and effectively. In the realm of auto insurance claims, Agentic AI has shown its potential

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