This is the second in a series of blog posts about whether ChatGPT can help us with Planning Analytics (PA) / TM1, and more specifically with Turbo Integrator (TI) script. In the first post in the series, I provided some background on AI technology like ChatGPT and really useful AI tools for programmers, like GitHub Copilot. In that post I also showed examples that highlight some of the strengths of ChatGPT, like its ability to understand TM1Py scripts, and some of its risks and weaknesses, like its hallucinations about PA’s history. All ChatGPT responses in this series are from ChatGPT-3.5, unless otherwise specified.
The machines are taking over, haven’t you heard? For all the legitimate concerns about Artificial Intelligence (AI) being used to generate deepfakes or write student essays, many of these AI tools can help us be more efficient and tackle repetitive or mundane tasks so that we can focus on far more interesting problems and things that we enjoy. This post focuses on newer natural language generative AI tools, specifically ChatGPT, which has been very much in the news.
The integration of Microsoft Excel with Planning Analytics, powered by TM1 Server, remains one of the most powerful pieces in the overall planning, modeling, and other solution capabilities provided by Planning Analytics! In a recent webinar of the same name, which you can find in our QueBIT video catalog, we focused on that integration and made a strong case for the Planning Analytics for Excel add-in as the Excel integration standard-bearer, going forward.
Topics: planning analytics, PAFE
Think 2018, which was held in Las Vegas March 19-22, was as big (about 30,000 in attendance) as it was bold: we are entering “an era of man plus machines” where we will be “putting smart to work in a smarter business”, IBM’s CEO Ginni Rometty said during her Chairman’s keynote address. Much of the buzz around the conference was focused on future technology in which IBM is investing heavily, such as artificial intelligence, quantum computing, and more. And while the conference provided opportunities to network and learn more about the IBM analytics software we use right now, which I’ll share in this post, I think it is crucial to frame that in the context of what is coming next and to see how we at QueBIT, as trusted experts in analytics, have already been preparing our customers to embrace that future with open arms.
