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Unleash hidden profits: How data transforms your payment system

Stop wasting millions: practical steps for real estate data infrastructure with software platforms

Realcomm 2025: unpacking the "backwards equation" of real estate tech

Realcomm 2025 VIP Party

Reliving the impact: Proxet at the inaugural EDGE Summit

How progressive web apps accelerate digital transformation

Unlock the power of prototyping with Power BI

Focus on Fintech: All the buzz from the Vegas FintechMeetup

The reality of real estate tech: key takeaways from RETCON 2025

What if you could predict breakdowns before they happen?

Buckle up for a wild ride in tech in 2025

Tech takes a giant leap: 2024’s biggest breakthroughs

Proxet rocked it in

Experimenting to create cost-efficient LLMs

The technology behind AI image generation

Using our powers for good: deepfakes in the digital age

Using LLMs to create personas

Modern data platforms will improve your organization’s agility

Which LLM is right for you? The answer is clear: it depends.

Cutting through the clutter: real intelligence on deepfakes

LLMs might be used to create API calls, but don't reassign your data engineers yet.

Claude 3 vs GPT 4: the competitive AI landscape we’ve all been waiting for

Evaluation is key to retrieval augmented generation

Is error-free parsing possible? Part II

OpenAI release notes: November 2023

Webinar: Key components of a modern data stack

Is error-free parsing possible? Part I

Stop drinking from the fire hose: Using vectors to get answers you need from your LLM

LLM has a performance problem inherent to its architecture: Latency

Data stack: The ultimate guide

Is now the right time for a data warehouse?

The case for a data platform, and how to select one

Medical search engines and machine learning

ML and predicting e-banking client satisfaction

Artificial intelligence is restructuring banking operations

Detection of relationships between banking operations using ML

The Basics of Data Lakes in the Cloud

Data Lakes on AWS

The Challenges of Data Lakes

The Rise of Machine Learning in Clinical Research

Extracting Phenotype Details from Electronic Medical Records

Simplifying Nurse Telephone Triage

Integration of AI in Radiotherapy

Using Data Lake Architecture for Clinic Management

Using Machine Learning Classifiers to Assist Healthcare-Related Decisions

Transformers in NLP: How Does It Work

Digital Transformation: Why Code Revising Is Crucial

The Programming Languages and Paradigms of Tomorrow

Small Data in Healthcare: Why It Can Provide You With Unique Insights

AI/ML on the Battlefield 2026 - Either Air or Ground

Digital Transformation: Refactoring. What It Is and How It Helps Your Business Grow

Startups in the (Almost) Post-COVID World

Threats to Data Privacy, Security and the Fintech Revolution

How COVID Changed - And Is Still Changing - The Ties Between Data and Healthcare

How to Perform Sequence-to-Sequence Learning in Keras

What Is a Recommender System With AI And Why Do You Need It

Introduction to Generative Adversarial Networks

Digital Transformation: Rehosting and Its Benefits for Your Business

Predict Trends in E-commerce with Big Data

Automated Business Processes

How E-commerce Uses AI to Increase the Conversions

5 Lib to Grab Data Out of a Web Page in Python

All About Electronic Medical Record Software

GDPR and Data Engineering

The Future of Data Engineering

How to Create the Best Patient Portal: Features and Requirements

Everything You Need to Know about Chatbots for eCommerce

Automatic Synonym Implementation with AI: How it Works

Making Sense of Measuring Heart Rate Variability

The Rise of Insurance Aggregators and their Impact on Your Business

Software Analysis of Heart Rate Variability: Features and Use Cases

How to Сhoose an Application Stack for Your Next Project

Healthcare Technology Trends in the Next Five Years

Data Fusion and Data Integration: Best Practices

Telehealth Online: Real Projects

Online Banking: Digital Transformation to Offer New Banking Services

Logistic Regression and Machine Learning: First Steps, Algorithms, and Main Challenges

How to Identify Patients for Clinical and Observational Studies Based on Clinical Attributes with AI

The Benefits of Telehealthz Engineering

How to build an AI triage assistant

Fundamentals of Statistical Natural Language Processing

Ecommerce Data Analysis with Pandas: A New Opportunity for Retail Industry

How to Identify and Develop New Medicines: Things You Need to Know

What Do Marketers Use To Analyze Big Data

How Discovering Risk Patterns in Medical Data Can Transform Medicine

What is Real-Time Data?

Diagnosing with AI Symptoms Checkers

Systems for Telehealth Nursing: Benefits and Examples That Work

Biosignals Processing In Python: Best Ways For Its Implementation

Doing Big Data Driven Research in Medicine

Real-time Location System in Healthcare: Benefits and Examples

Pharmacy Delivery Problems and Solutions You Can Implement for Your Business

Patient Data Collection Guide: How to Improve a Healthcare System

A Detailed Guide to Creating a Voice Recognition Application

What Is Nursing Home Software: Its Main Features and Benefits

Potential of Neural Networks in Healthcare: Promising Dream or Reality?

The Power of AI in Medical Image Analysis

Digital Transformation Challenges: From Identification to Solutions

Machine Learning Unleashes New Healthcare Opportunities

How to Build New Technologies in Your Healthcare Organization: a Roadmap