Author name: Katarzyna Rojewska

ai, business

How to Improve Student Retention: AI-Powered Early Intervention That Works in 2026

According to the National Center for Education Statistics, only 64% of students who begin a bachelor’s degree complete it within six years. For a mid-sized university with 10,000 students, that’s 3,600 students who never graduate. Universities track these numbers closely. Most have sophisticated analytics identifying at-risk students: declining GPAs, attendance patterns, financial aid status. The […]

Artykuł How to Improve Student Retention: AI-Powered Early Intervention That Works in 2026 pochodzi z serwisu DLabs.AI.

ADK, ai

4 Google ADK Production Challenges and How to Solve Them

Framework enthusiasm is easy when prototypes work. You’ve read about why developers are switching to Google ADK, seen real implementation stories, and maybe even built your first agent. The framework’s strengths are clear: intuitive developer experience, built-in debugging tools, and seamless multi-agent orchestration. Like any technology, ADK has its challenges—especially when moving from prototype to […]

Artykuł 4 Google ADK Production Challenges and How to Solve Them pochodzi z serwisu DLabs.AI.

ai, business

5 Essential Tips to Avoid Generative AI Implementation Failure in 2025

Have you ever found yourself doing something because everyone else is doing it? Have you ever felt like you have to do something because if you don’t, you’ll fall behind? This is exactly what’s happening with GenAI adoption in businesses today. Companies are rushing to implement artificial intelligence, often without a clear strategy, driven by […]

Artykuł 5 Essential Tips to Avoid Generative AI Implementation Failure in 2025 pochodzi z serwisu DLabs.AI.

ai, Medicine

How AI is Reducing Emergency Room Overcrowding

Emergency room overcrowding has become one of healthcare’s most pressing challenges, putting countless lives at risk through delayed care and strained resources. The scale of this crisis is stark: over 1.5 million patients experienced wait times exceeding 12 hours in major emergency departments in 2023, with 65% of these cases involving patients awaiting admission. Among […]

Artykuł How AI is Reducing Emergency Room Overcrowding pochodzi z serwisu DLabs.AI.

ai, Medicine

Top 10+ Mental Health Apps for 24/7 Emotional Support

In a world where nearly 1 billion people struggle with mental health challenges, yet 61% don’t seek traditional treatment, digital solutions are becoming increasingly vital. From AI-powered therapy companions to professional teletherapy platforms, mental health apps are breaking down barriers of cost, accessibility, and stigma.

But with hundreds of options available – from meditation guides to mood trackers, peer support communities to clinical tools – how do you find the right support for your journey?

In this article, we’ve collected the most innovative mental health apps of 2024, with a special focus on those that leverage artificial intelligence to provide more personalized care. 

Artykuł Top 10+ Mental Health Apps for 24/7 Emotional Support pochodzi z serwisu DLabs.AI.

ai, business

AI Design Sprints: Bridging the Gap Between Ideas and Market-Ready Products (Case Study Included)

Today’s businesses constantly seek ways to accelerate innovation processes, reduce costs, and minimize risks. However, the traditional waterfall model is often time-consuming and expensive.

So, how can companies innovate quickly and efficiently without breaking the bank?

Enter design sprints, a game-changing approach revolutionizing AI product development. They provide a flexible, five-day framework for rapid prototyping and user testing. This approach, pioneered by Google Ventures, has been adopted by leading companies like Slack, Spotify, and Google to enhance their innovation capabilities.

Artykuł AI Design Sprints: Bridging the Gap Between Ideas and Market-Ready Products (Case Study Included) pochodzi z serwisu DLabs.AI.

ai, business

Design Sprint, Design Thinking, or Lean Startup: How to Choose the Right Approach?

Innovation is the cornerstone of modern business success. With various methodologies available, choosing the right one can be challenging. This article cuts through the confusion, offering a comprehensive comparison of three leading innovation frameworks: Design Sprint, Design Thinking, and Lean Startup.

We’ll explore the unique strengths and applications of each methodology, equipping you with the knowledge to choose the right tool for your specific challenges. Through a detailed comparison table and real-world case studies, you’ll gain actionable insights into how these approaches can be leveraged to drive innovation in various contexts, from startups to established enterprises.

Artykuł Design Sprint, Design Thinking, or Lean Startup: How to Choose the Right Approach? pochodzi z serwisu DLabs.AI.

ai, Medicine

Harnessing Data and AI: Revolutionizing Decision-Making in Healthcare

According to the Institute of Medicine, the U.S. healthcare system allocates nearly a third of its resources—amounting to $750 billion annually—on unnecessary services and inefficient care.

How can we address one of the most significant challenges facing the healthcare industry? In this article, we will explore how the integration of data and artificial intelligence can provide effective solutions.

Artykuł Harnessing Data and AI: Revolutionizing Decision-Making in Healthcare pochodzi z serwisu DLabs.AI.

Scroll to Top