The Software Intelligence Pulse

The latest release of CAST Highlight introduces a new capability called the Portfolio Advisor for Technical Debt. Users get a centralized, comprehensive view of tech debt on a single dashboard that includes new insights on obsolete technology versions (e.g., old versions of .NET, Java) alongside previously available tech debt insights on custom code and outdated open source components. Automated recommendations prioritize which applications represent the ‘bad debt’ to tackle first.

Your organization’s technical debt can be a massive drain on your financial and technical resources. Like financial debt, organizations must pay interest to service technical debt. Also, like financial debt, technical debt, can also spiral out of control and become an existential threat to the organization as a whole.

Many of us started learning using picture books before we started reading as children. The reality is, our brains are still forming images in our minds even when we are reading text as adults. The human mind is designed to process visual information and we process visual information significantly faster than text and numbers. In fact, according to a study by the University of Minnesota, human brains process visuals 60,000 times faster than they do text.

In the digital age, the advent of AI-generated code has been nothing short of revolutionary, heralding unprecedented speed and scalability in software development. This has enabled developers to automate complex coding tasks, significantly reducing time-to-market for new software applications. Yet, as the use of AI in coding practices becomes more widespread, it's increasingly becoming a double-edged sword for executives and technology leaders.

The new Application Rationalization Dashboard offers actionable insights for prioritization, cost-efficiency, and streamlined migration by evaluating application readiness, complexity, cost, and risk. At Google Cloud, we believe in taking a pragmatic approach to cloud migration. For example, CAST technology uses a four-wave migration strategy, prioritizing quick wins and minimizing risk.

The advent of AI-generated application code promises to be a significant boon to developers the world over. Tools powered by large language models (LLMs) are being integrated into software development environments, accelerating development timelines and reducing manual coding errors. The allure of AI in coding is undeniable, with its promise of boosting productivity and innovation.

The key to unwinding technical debt expeditiously is identifying the few pieces of code that have the most significant negative impact on the business — a task typically more challenging than it may seem. The Wall Street Journal ("The Invisible $1.52 Trillion Problem") recently highlighted a big burden businesses put on their balance sheets with an often overlooked form of debt. Technical debt.

Broadcom generated a lot of noise after acquiring VMware in late 2023. VMware client concerns range from price hikes to service disruptions, and many companies are struggling between weathering the storm or facing the daunting task of moving off VMware. Some organizations are taking a smarter approach to the latter option, leveraging software intelligence technology to migrate with speed, safety, and confidence.

According to McKinsey & Company, organizations that are data-driven are twice as likely to be more profitable than industry average. This is one of many reasons why executives across the world rely heavily on a suite of analytical dashboards. Could you imagine a CFO reporting results to Wall Street based on what sales managers ‘think’ they sold in the last quarter? Or a COO deciding which office locations to merge based on guestimates of employee numbers?

Broadcom generated a lot of noise after acquiring VMware in late 2023. VMware client concerns range from price hikes to service disruptions, and many companies are struggling between weathering the storm or facing the daunting task of moving off VMware. Some organizations are taking a smarter approach to the latter option, leveraging software intelligence technology to migrate with speed, safety, and confidence.