Digitization of the banking industry is making new banking business models possible. But, it is the combination of regulation and technology that is making new business models a necessity.
While many outside of the US might think of the US as one of the richest countries in the world, the reality is that financial inequality has produced a land of opportunities where a large percentage of the population have serious day-to-day financial challenges, least of all getting access to day-to-day financial services.
Who would have thought that after 50 years we would still be talking about Pete Pyhrr? Pete is considered the “father of zero-based budgeting.” He was an accounting manager at Texas Instruments who had the audacity to suggest that in order to allocate resources more efficiently, we should tie expenditures to results.
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.