Systems | Development | Analytics | API | Testing

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Swift Machine Learning: Using Apple Core ML

A sub-discipline of artificial intelligence (AI), machine learning (ML) focuses on the development of algorithms to build systems capable of learning from, and making decisions based on, data. In iOS development, ML allows us to create applications that can identify patterns and make predictions, adapting a user’s experience by learning from their behaviour.

The 12 Best API Monitoring Tools to Consider In 2024

Application Programming Interface (API) monitoring tools are essential software solutions designed to closely monitor API performance, availability, and security. These tools track key performance metrics like response time, throughput, and latency, helping organizations identify and resolve any issues that could slow down or disrupt their services. These monitoring tools are essential for ensuring APIs remain available and reliable for users.

MiFID II: Data Streaming for Post-Trade Reporting

The Markets in Financial Instruments Directive II (MiFID II) came into effect in January 2018, aiming to improve the competitiveness and transparency of European financial markets. As part of this, financial institutions are obligated to report details of trades and transactions (both equity and non-equity) to regulators within certain time limits.

What is API Test Automation? A Complete Guide

79% of organizations acknowledge their increasing reliance on APIs for revenue generation. APIs facilitate transactions, streamline operations, and enhance customer experiences. However, any disruptions or malfunctions in API functionality can have significant consequences. While API testing addresses these issues, API test automation is essential for ensuring APIs function correctly and reliably.

Gen AI in Healthcare: Harnessing its Potential in Innovation & Personalized Care

GenAI can unlock a trillion-dollar opportunity in healthcare, says McKinsey. But how would this unfold? Tune into this podcast where Senior healthcare IT leader Ajay Behuria shares deep insights and vision for GenAI's transformative potential—from reshaping healthcare delivery to optimizing remote patient assistance and ensuring fairness in AI solutions. In this session, Ram Mamidanna, SVP of Digital Engineering Services at Cigniti, delves into real-world implementation journeys, strategies for adoption, and overcoming challenges in integrating GenAI with enterprise architecture.

Countly For The Telecom Industry: Transforming Data Challenges Into Opportunities

As you read this article, chances are your internet-connected smartphone is right beside you, your most-used daily device. This widespread use of smartphones we’re witnessing today, along with the explosion of IoT devices and high-speed networks, presents telecom companies with unprecedented challenges in managing customer experience and technical operations. The massive influx of data demands sophisticated analytics, but Countly is up for the challenge.