Should you stop your kids from using chatGPT? NO

My college-going daughters (and their friends) are using chatGPT. I am not stopping them, as chatGPT has done an excellent job of explaining the power of AI to everyone around the world. They will be using AI in their jobs after graduation. It will be everywhere around them.

Applying AI to Enterprises continues to be a major challenge. At TIBCO, we closed lots of business via Master Data Management/Data Virtualization by trying to sell the data science products we had. What was my secret?

I asked a simple question – Data Science needs good data. I assume you already have the “right data with the right quality/structure/compliance” for your business needs/personas.”

Every single time, the response was, “No, Japinder, we don’t. How do we solve it” ?

This data problem still needs to be solved at most Enterprises. chatGPT will not solve it.

Enterprises need AI models that positively impact business in 3 major areas – Consumer Experience, Operational Excellence, and Regulatory/Compliance. Ensuring the positive business impact of AI models is not easy to do. It needs expensive data scientists.

At AppSteer, we are focusing on enabling Enterprises to build applications using no-code and private Enterprise AI models rapidly – without hiring expensive Data Scientists.

Private Enterprise AI models are designed and trained with a positive business impact in mind. We automatically train AI models starting with a “business first” design methodology by using AppSteer applications. The business use cases dictate the kind of data/transactions that will be used to train the AI models.

These private AI models, in effect, become the “Enterprise Digital Twin” that can be used for analytics, conversational chatbots, and business applications. They are private (not connected to the internet) and comply with governance and operational constraints/requirements, i.e. Enterprise Grade. Our Enterprise AI models leverage deep learning to optimize dynamically via real-time data/transactions.

Digital Twins have an interesting history. First “invented” to bring Apollo 13 safely back home, they have been used in Manufacturing, Retail, Telcos, Logistics, and other vertical industries. Enterprise Digital Twins built via AI are a disruptive innovation.

With AppSteer’s no-code design, we also automatically train private AI models on retail/logistics/functional MicroApps we have built. This leads to very interesting capabilities – asking AppSteer AI models to generate an AppSteer application automatically. !!!!!!

No-code with private Enterprise AI models fundamentally changes the economics of building Enterprise AI applications. Recently we built and delivered a cloud-native Enterprise grade application in 2 days. Traditional coding approaches would have taken 8+ months.

Let your kids use chatGPT. We need them to improve the world with their innate curiosity.