Table of Content
The “Dark” Side of AI
The term “artificial” typically denotes a negative connotation. Artificial sweeteners taste good, but they are not considered healthy. Artificial turf looks like a pristine field of natural grass, but up close it’s quite fake and athletes prefer playing on the real thing. People with artificial personalities are just pretending to be someone else. Even artificial limbs, prosthetic devices that provide so much functionality to their users, play second fiddle to our own bodies.
The term “Artificial Intelligence” also seems to suffer from this negative slant. Even as AI is becoming pervasive in so many aspects of our lives, we seem to be reading more and more stories about how AI may not be the panacea that we have been sold on. The press and social media seem to be focusing on the AI-based results that are inaccurate, even unbiased. We are consistently reading how major AI providers are being held accountable for results that clearly seem to be sub-optimal. But then again, my wife often tells me that my own intelligence has much to be desired…
How You Should Really View AI
Once you understand the underlying mechanisms of how AI works, how Large Language Models, Vector Databases, and query algorithms work and interoperate with each other, you see how there is nothing artificial about AI. Like many computer-based functionality, it’s all about structured data, optimal algorithms, quality programming, throughput efficiencies, and, of course, the severity of the bugs that invariably slip into the process. AI has been around for many decades, it was just looking for the right supporting technologies and the necessarily large data sets that are now available, accessible, and cost effective to aggregate, manage, and maintain.
Let’s Get Into Details
When used correctly, AI quickly provides extremely useful information and saves people a lot of time. My CEO recently used an AI tool to generate 70% of his keynote presentation at our Sales Kickoff event. It saved him countless hours of work – and it rocked the audience. One of my best friends, a CTO, uses AI to craft departmental memos and plan his family’s vacation itineraries. Another friend who is a physician leverages AI as a ‘second set of eyes’ to review radiology results as these analyses pick up nuances undetectable by the naked eye. Perhaps we should rename ‘useful AI’ to PI, Practical Intelligence.
Where Panaya Really Triumphs
AI-Powered (Practical) Intelligence is what Panaya Test Automation is all about. Panaya uses AI to reduce the need for highly technical IT resources to build complex computations and assertions (imagine a business user being asked to build an expression that extracts the eighth word of a string parameter and converts it to an integer). Panaya also translates highly technical metadata like XPath Locators and RegEx strings into simple English so any business user can understand these seemingly unintelligible constructs.
Panaya’s AI-powered features also tell you what tests must be run to address specific change scenarios and what tests can be safely ignored, optimizing your test cycles and eliminating unnecessary efforts. In short, Panaya’s AI accelerates enterprise test management and script building, saving time and resources while increasing operating efficiencies. This leads to better, faster, and optimal testing which in turn leads to faster innovation streams and no go-live errors. And we take great care to protect customer data – an ever-growing concern.
Now that’s what I call practical. These are just a few of the many reasons that users on g2.com have voted Panaya the #1 Test Management platform in the market – for 14 straight quarters!
Our Final Word On AI
When it comes to building PPTs, planning your next vacation, or implementing a state-of-the-art enterprise testing platform, embrace practical AI. Make AI work for you instead of fearing it – well at least until SkyNet goes live!