Businesses are starting to use generative AI more and more as a result of the fast development of AI. Automating software testing is only one example of how generative AI is improving efficiency and reducing costs. Here I'll go over several ways generative AI may speed up the software development process and automate software testing.

The excitement (and drama) around AI continues to escalate. Why? Because the stakes are high. The race for competitive advantage by applying AI to new use cases is on! The launch of generative AI last year added fuel to the fire, and for good reason. Whereas the existing portfolio of AI tools had targeted the more technically minded like data scientists and engineers, new tools like ChatGPT handed the keys to the kingdom to anyone who could type a question.

Not long after graduating college, in the late 2010s, I had a data analysis job that scarred me for life. It involved reading through hundreds of documents—some of them handwritten—and meticulously, painstakingly entering data into spreadsheets. Who among us hasn’t been scarred by a similar experience? I remember thinking, as I spent mindless hours copy-pasting rows of text from one screen to another, that there had to be a better way. Mercifully, there is.

Since the release of ChatGPT last year, generative artificial intelligence has dominated headlines, conferences, and even my own workplace conversations. It’s been incredible to see how AI technology has so quickly changed workflows and the focus of companies. I’ve spent almost two decades working in tech, with 15 years of full stack developer experience.

Following the popularity of ChatGPT, AI (Artificial Intelligence) chatbots have become a trend in various fields. The application of these chatbots for organizations to provide immediate and accurate solutions is limitless. One such field is healthcare, where these health bots would play a vital role in helping patients by providing real-time virtual assistance whenever and wherever needed.

Our recently released predictions report includes a number of important considerations about the likely trajectory of cybercrime in the coming years, and the strategies and tactics that will evolve in response. Every year, the story is “Attackers are getting more sophisticated, and defenders have to keep up.” As we enter a new era of advanced AI technology, we identify some surprising wrinkles to that perennial trend.

Discussions about AI could be heard throughout the 7th annual Appian Government event, held November 29, 2023 at Capital One Hall in Tysons, Virginia. At breakfast, a customer sitting next to me mentioned how he’s looking forward to hearing how AI can help mine his historical data. “And securely,” another added. In a lunchtime conversation, yet another customer told me about the productive meeting they had with Appian on incorporating AI into their processes.

Google Gemini is the latest generative AI sensation and it’s now available in Keboola, our self-service data operations platform. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola users, language model enthusiasts, data scientists, application builders, and data engineers. But this is just the start.

In 2023, generative AI took the spotlight, emerging as the most talked-about technology of the year. This content creating powerhouse can do everything from text, image, and video generation to answering questions through natural language queries. And its potential uses are vast. While many industries are still in the experimental phase, the insurance sector is poised to benefit significantly from the integration of artificial intelligence into its ecosystem.