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Technology

A better way for data leaders to approach generative AI

Generative AI is far more than a passing fad. But it’s still far from flawless. In this segment, Alex Viana, VP of Data at Vercel emphasizes the importance of having a strong data infrastructure and system in place before integrating AI tools, so they can bring value to data leaders as a multiplier rather than a crutch.

How Marketers Can Leverage Generative AI for Creative Breakthroughs, Scalability, and Speed

The conversation around generative AI naturally veers toward productivity, but people overlook this one, salient benefit: jumpstarting creativity. The best marketing combines data insights and creativity—and that’s where one of the many generative AI opportunities is for marketers.

AI vs. Generative AI: What's the Difference?

Google the topic of artificial intelligence, and you’re likely to be taken down a deep, winding rabbit hole. If you venture only a little under the surface, you will encounter fantastical terms like perceptron, sigmoid neuron, and nonlinearly separable classifications. To save you from falling into that hole, this article will give a short, clear explanation of AI vs. generative AI.

Unleashing the Potential of Generative AI in Marketing and Sales

Marketing and sales is undergoing a profound transformation as generative AI (gen AI) paves the way for advancements and innovation. With gen AI, businesses are rethinking their approaches to customer experience, productivity, revenue, and growth in both the B2B and the B2C domains.

Data Integration & AI: Prepping Your Data for Machine Learning

Data Integration plays a crucial role in enhancing the performance and accuracy of machine learning models. In today's rapidly evolving digital landscape, businesses and organizations are constantly generating vast amounts of data from various sources. However, the true power of this data can only be unleashed when it is seamlessly integrated and prepared for machine learning.

Azure SQL vs MySQL: What are the Differences?

Here we’ll review Azure SQL vs MySQL, and what their differences are. Databases have been around for ages. From ancient paper based records to modern computerized systems, they essentially serve one purpose, which is to enable data storage in a way that is structured, permanent and easily retrievable or referenced, while maintaining its integrity. Here’s the key things to know about picking Azure SQL vs MySQL: Table of Contents.

Simplify mobile testing with Tricentis Mobile Agent

Mobile devices permeate almost every facet of our lives. With the number of mobile users currently at 5.1 billion and growing, mobile commerce growth will not stop anytime soon. To capitalize on this market, it’s critical to deIiver a high-quality user experience through robust mobile testing. Unfortunately, most companies have been slow to adopt mobile testing. Part of the complexity lies in setting up and configuring various iOS and Android devices.

Introducing Tricentis Device Cloud: Real mobile device testing with codeless automation

Whether you’re developing mobile apps for business-to-business (B2B) or business-to-consumer (B2C) purposes, delivering a seamless mobile experience is critical for survival in today’s complex, fiercely competitive digital business landscape. In line with this demand, we’re thrilled to introduce Tricentis Device Cloud.