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.
ChatGPT was synonymous with Generative AI some time back, prompting me to explore its impact on the payments industry in a previous blog. However, it’s crucial to acknowledge that Generative AI is the encompassing circle in the Venn diagram, with ChatGPT being one of the circles nested within it. Today, let’s delve into the broader perspective of how Generative AI is poised to revolutionize the payments landscape.
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.
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.
