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perforce

The Real Cost of Software Defects: Customer Churn That Costs Businesses Millions of Dollars

Apr 7, 2026 By Perforce In Perforce
Software defects don’t just drain budgets; they cost businesses customer loyalty. Poor software quality can lead to poor customer experience and drive customer churn, resulting in missed revenue and increased expenses. Learn how better processes, such as test data management, can reduce the cost of software defects and protect your business outcomes.
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Lightning-fast infra for GitHub Actions: Bitrise Build Hub in 1 minute

Apr 7, 2026 By Bitrise In Bitrise
Bitrise Build Hub: A drop-in replacement for GitHub's macOS runners. The largest dedicated Apple Silicon fleet for mobile CI/CD. M4 Pro Apple Silicon with 54GB RAM, Xcode updates within 24 hours, co-located build cache. One line of YAML. Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.
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Why do AI agents fail in the enterprise? #aiagents #shorts

Apr 6, 2026 By WSO2 In WSO2
Intelligence isn't enough. To make smart decisions, AI agents need context. Shafrine (WSO2) breaks down why integration is the secret sauce to moving AI from a pilot project to a high-performing "agentic" workforce. Learn how connecting your siloed systems provides the "informed decision-making" power agents need to actually get work done.
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dreamfactory

Custom MCP Server vs. AI Data Gateway: Which Is Right for Enterprise AI?

Apr 6, 2026 By Kevin Hood In DreamFactory
The Model Context Protocol (MCP) is quickly becoming the standard for how large language models connect to enterprise data. As adoption accelerates, engineering teams face a foundational decision: build a custom MCP server from scratch, or adopt an AI data gateway that ships with MCP support, security, and governance out of the box. Both paths have real tradeoffs. This post breaks them down so you can make the right call for your stack, your team, and your risk profile.
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kong

LLM Cost Management: How to Implement AI Showback and Chargeback

Apr 6, 2026 By Alex Drag In Kong
Every enterprise moving AI into production is about to face a familiar problem in an unfamiliar form: the cost explosion, but for LLMs. This is *very *similar to what happened with cloud. In the early days of cloud, teams spun up infrastructure with no visibility into who was consuming what. Finance got the bill. Engineering got the blame. No one had the data to make good decisions. It took years of hard-won FinOps discipline to fix that. LLM spend is on the same trajectory *and moving faster*.
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perforce

Understanding ISO/PAS 8800 for AI in Automotive Safety

Apr 6, 2026 By Perforce In Perforce
With the rise of AI use in vehicle software development, concerns arise around its presence in safety-critical applications, especially when it comes to functional safety and regulatory compliance. ISO 26262, the essential standard for automotive development that requires processes for managing, designing, and verifying safety-critical systems, still applies. However, it can fall short when applied to AI models, which are inherently non-deterministic and continuously evolving.
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antino

Insurance Mobile App Development: Compliance, Cost and Future Trands

Apr 3, 2026 By Aditya Pranav In Antino
Insurtech is picking up pace fast. And it’s not only because of new tech coming in, but also because people today simply expect things to be easier, quicker, and more transparent. That said, technology is still doing most of the heavy lifting here. We’re already used to apps simplifying our everyday lives, so when insurance starts doing the same, it naturally feels like the right move.‍ So, what is Insurtech? And why is it expected to reach $152.4 billion by 2030?
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Why 90% of AI Projects Never Leave the Pilot Phase? #ai #shorts #softwarearchitect

Apr 3, 2026 By WSO2 In WSO2
Struggling to scale your AI? You aren’t alone. Shafrine from WSO2 identifies the bottleneck holding companies back: Data Silos. Without integration, your AI agents lack the "context" needed to be useful in a production environment. Learn how to bridge the gap between a "cool pilot" and a "scalable enterprise agent" by fixing your fragmented workflows.
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