Scalytics Blog: Read the articles from Scalytics

A Practical Guide to Effective Prompting in Scalytics Connect

This guide helps Scalytics Connect users maximize their private AI investment through effective prompt engineering. It begins with selecting the optimal model (Llama, Phi, DeepSeek, Gemma, or Mistral) based on specific use cases, then explains fundamental techniques for creating effective AI agents within your environment. The article provides model-specific strategies with practical examples, industry-specific agent designs, and advanced techniques for experienced users. It also covers performance measurement, troubleshooting common challenges, and integrating AI agents into existing workflows. Throughout, all examples and recommendations are specifically tailored to the Scalytics Connect platform, helping transform basic AI tools into sophisticated business assets that deliver measurable value.

Author:

Scalytics

The Challenges and Vulnerabilities of Federated Learning: Insights and Solutions

Federated learning enables collaborative AI model training while preserving data privacy, yet it remains vulnerable to poisoning attacks from malicious clients. In this guest blog, Dr. Fang highlights critical vulnerabilities in federated learning frameworks and introduces innovative defenses to counter these threats, such as excluding harmful local models that degrade global performance. With a focus on overcoming challenges like poisoning attacks and straggler delays, Scalytics provides robust, regulation-compliant solutions, empowering enterprises to adopt secure and scalable AI frameworks.

Author:

Scalytics

Decentralizing AI to Scale Smarter With Federated Learning

Federated Learning (FL) addresses AI scalability challenges by enabling decentralized training on diverse data sources while maintaining privacy. Scalytics Connect v1.2.0 simplifies FL implementation with auditable and traceable workflows, supporting various platforms and data sources. This approach revolutionizes industries by democratizing AI benefits and ensuring data security and compliance.

Author:

Scalytics

ETL vs. ELT: Decoding the Data Wrangling Showdown for Your Next Project

Transforming raw data into actionable insights requires the right approach. ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are the leading methods for streamlining data preparation. ETL ensures upfront data quality, ideal for regulated industries or structured data. ELT prioritizes speed and flexibility for rapid insights. This blog post offers a clear breakdown of ETL and ELT, guiding developers on choosing the right approach based on project needs, data types, and compliance. We also explore the future of data integration, highlighting the potential of hybrid models, real-time transformation, and federated learning for secure AI development.

Author:

Scalytics

The Evolution of Data Intelligence: Introducing Scalytics Connect

Discover why our flagship product returns to its roots as Scalytics Connect. Reimagine ETL with AI, conquer complexity, & fuel your data-driven journey! Simplify data with AI-powered ETL & slash complexity. Securely process & analyze data anywhere.

Author:

Scalytics

Build new plugins from scratch for Scalytics Connect (Developer Part 1)

Scalytics offers precise data operator interfaces and classes, ensuring optimal data flow and processing efficiency in its virtual data lake system. Read the first of our developer series.

Author:

Scalytics

Accelerate Digital Transformation - The Ultimate Executive Guide

Data silos limit AI & digital transformation. This guide helps CxOs understand the impact and effective strategies to dismantle them, paving the way for AI implementation and accelerating their journey.

Author:

Scalytics

LST-E: Our Industry-Specific Energy Forecasting Model

LST-E is Scalytics' advanced energy forecasting model built on LSTM architecture, designed to optimize energy usage, reduce costs, and lower emissions. Trained using federated learning on decentralized data, it ensures compliance while delivering highly accurate, actionable predictions. Available on GitHub and HuggingFace, LST-E empowers businesses to make smarter energy decisions with tailored, regulation-compliant AI solutions.

Author:

Scalytics

Transform Healthcare with Federated Data Lakes and AI

Healthcare, a sensitive part of the public sector, faces data privacy challenges in research, requiring AI for advancing results and sensitive data analytics.

Author:

Scalytics