Systems | Development | Analytics | API | Testing

Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Less than 12 months after the introduction of generative AI large language models such as ChatGPT and PaLM, image generators like Dall-E, Midjourney, and Stable Diffusion, and code generation tools like OpenAI Codex and GitHub CoPilot, organizations across every industry, including government, are beginning to leverage generative AI regularly to increase creativity and productivity.

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.

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.

Data has had quite the year, hasn’t it? I have worked in the data and analytics space more years than I would like to admit, but I can honestly say that it’s been one of the most exciting, wild rides in recent memory. Qlik has been along for that ride, and brought quite a bit of excitement all on its own. So I thought I would recap the five moments that really stand out for me from the world of data… and Qlik in 2023. But, hang on.