As a contract software developer, I am exposed to oodles of Ruby code. Some code is readable, some obfuscated. Some code eschews whitespace, as if carriage returns were a scarce natural resource, while other code resembles a living room fashioned by Vincent Van Duysen. Code, like the people who author it, varies. Yet, it's ideal to minimize variation. Time and effort are best spent on novel problems.

Organizations use enterprise resource planning (ERP) programs to meet the needs of an always-on culture in which a business's ability to pivot efficiently is important. Our five key takeaways about ERP integration and its business potential are.

AI can offer transformative business value. But you need the right combination of capabilities. Appian is continuing its history of providing practical value to enterprises across industries with the new AI capabilities in our 24.2 release—from 11 new generative AI skills that help you optimize mission-critical processes to the release of our Enterprise Copilot that gives users instant answers to their questions. This post will cover the latest enhancements to our AI offerings.

Bike-Taxi Apps: Hailing as the powerful giant who emerged to take control, take charge, and change the commutation landscape! But are you aware of the rising popularity of bike taxi app development? According to GlobeNewswire, the market for online taxi services will increase from $34.82 billion in 2022 to $38.54 billion in 2023, growing at a 10.7% CAGR. Actually, we are talking about way ahead of 2023.

Quality Assurance (QA) teams must run extensive tests to ensure that a website or application performs as intended before release. However, rather than manually running these tests, which can hinder productivity, modern teams are using QA automation. By automating QA testing workflows, teams can rapidly execute these tests using standardized processes, frameworks, and software. Developers can quickly fix any errors and deliver high-quality code so that product teams can speed up release times.

Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. It sets up the processes and responsibilities necessary to maintain the data’s quality and security across the business. Data governance manages the formal data assets of an organization.

Are you aware of the fact that India’s overall fintech market opportunity is estimated to be $1.3 Tn by 2025, growing at a CAGR of 31% during 2021-2025? This one statement paved the way for the FinTech revolution in India and is still growing… In just a few years, the emergence of fintech-powered technologies has revolutionized the financial sector, affecting how both large and small firms deal with their finances and transactions.

For data engineers, the Generative AI (Gen AI) era is a transformative shift in how we approach data architecture and analytics. Professionals at the forefront of this shift will be gathering in San Francisco, at the Data+AI Summit June 10-13. Attendees will be exploring tools that integrate with Databricks Intelligent Data Platform that decrease data management costs and improve data's impact on business outcomes.