I visited Shanghai again this week at the request of Huawei’s Enterprise Business Group as a part of their annual Huawei Connect event. This year’s theme was Active Intelligence and at the conference hall held at the Shanghai World Expo and Convention Center we saw demonstrated “smart” technologies ranging from smart city applications, smart education, smart transportation, smart everything…
My first article on the topic of technology terms explained advanced analytics and robotic process automation (RPA) in the context of financial planning and analysis (FP&A) and the evolution toward intelligent finance. Here, we’ll explore the cloud and software as a service (SaaS), artificial intelligence (AI), and blockchain: what these technologies can do for FP&A teams, and the status of adoption globally. That said, I thought these two quotes would help illuminate the topic.
“The science of today is the technology of tomorrow.” – Edward Teller “Never before in history has innovation offered promise of so much to so many in so short a time.” – Bill Gates
Multiple time frame analysis is where you take into consideration what is occurring on other time frames that may have an effect on your position. Most traders pick their one time-frame and then almost never leave it. Or they just leave their time-frame to go down to lower time-frames to find more trading opportunities – which basically means they are recklessly hunting for signals on time-frames they shouldn’t be on.
When we start on the topic of consuming data, that’s an area that I feel quite passionate about. I truly believe that the way data and information is presented can be improved greatly, not just by embracing the new, fantastic technologies now available (which is very important), but by adopting a set of standards. To fully embrace intelligent FP&A (iFP&A), we must add order and elegant simplicity to present our findings and insights to an ever-growing and diverse audience of stakeholders.
Data analytics is a critical aspect in managing an organization and making better decisions. The current technology has opened up a wide array of possibilities, but how should a company actually use data analytics? In a recent podcast, John Best addresses some of the practical uses for data analytics and gives real life examples of how you can use the technology to enhance your organization from the board room to the call centers.
In a few days from now, on 15th September, we will remember the demise of the investment bank Lehman Brothers.