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In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future?

An overview of common low-hanging fruits to help you get started with machine learning.

The success of businesses like Zoom, DropBox, and Slack demonstrates the power of product-led growth (PLG) as a strategy for scaling software companies in 2023. Central to this approach is event analytics, the practice of analyzing event data from a software product to unlock data-driven insights. Companies following a PLG strategy (“PLG companies”) use this data to inform product development decisions to enhance user experiences and drive revenue.

Earth Engine and BigQuery share the goal of making large-scale data processing accessible and usable by a wider range of people and applications.

Process efficiency might not be flashy, but its impact is substantial. Improving process efficiency—from developing new applications faster to automating manual tasks—can amount to millions in savings. According to a Total Economic Impact™ (TEI) study, conducted by Forrester Consulting and commissioned by Appian, a composite organization comprised of interviewees with experience using Appian realized: How exactly are customers realizing these benefits?

Integrations are everywhere, and data-sharing between systems is more vital than ever. Software applications use application programming interfaces (APIs) to ensure all moving parts work together. A REST API follows specific guidelines that dictate how applications or devices connect and communicate with one another to make integrations simple and scalable.

Delivering high-quality software solutions quickly and effectively is crucial for competitiveness in today's fast-paced digital environment. By removing barriers between the development and operations teams, DevOps has changed the software development process and allowed businesses to deploy products more quickly and collaborate more effectively. However, this speed increase may also provide new difficulties in preserving software quality.

The results are in–for the third year in a row, insightsoftware has partnered with Hanover Research to deliver our yearly Finance Team Trends Report. Comparing results across the years shows an incredible journey for finance teams across the globe. The survey included 519 senior accounting and finance professionals across North America and Europe, the Middle East, and Africa (EMEA). 52% are located in North America while 48% are in EMEA.

Want to master SaaS customer journey tracking? Learn about the essentials of tracking events and stages, and key strategies that can help you optimize user engagement and retention.

Mainframes continue to play a pivotal role in today’s digital landscape, specifically in large-scale, mission-critical industries such as banking, insurance, healthcare, and government. Their impressive transaction handling capabilities, robust security mechanisms, and efficient resource management make them the go-to choice for organizations dealing with large volumes of sensitive, complex data.