Member Since: Aug 23rd 2018
Menlo Technology Consulting, LLC
Aug 23rd 2018
Great article. So true!
Unfortunately, there is a value in spending time meeting with these people, face-to-face. Going out of your way to build a relationship with these CPA(S) and their various representatives helps a lot. Calling them and emails mean little to people who are against time lines and performance deadlines.
In the CPA world - from my experience with CPA's - it is a flurry of churn and burn employees who are newer, and the older ones don't waste time with 'relationships' they can put off - they do not see a benefit to it in their daily performance measurements.
I have worked along side a few CPAs who are greatly happy to working with bookkeepers, and they answer my calls, emails and texts. But there are rules there - I need to be concise and I need to give them numeric points outlined in those emails. For the younger CPAs, I can only ask ONE question per email. They are easily overwhelmed.
Aug 23rd 2018
Thank you for posting the article by Bernard Marr. It is so important to keep straight what words mean in tech, and not to veer away from those definitions due to sloppy journalism - which is the 'norm' today. Marketing and Sales will always draw illustrations in people's heads of what technology is today and what it will become. But their motive is superficial - they are not engineering.
As a tech professional for many years, I can say that the prospect of what artificial intelligence means, is akin to the discussion in the past about what cloning means to morality and the world at large. (What it means is click-ability in the media.)
Artificial Intelligence has a long way to go, and the dirty secret of tech is the average number of years younger workers stay in their roles at these companies is less than two years. In less than two years, you can't teach the history or the culture of the business, nor the purpose and direction of an engineering team to those employees.
So going forward, there is going to be a challenge to maintain a corporate culture, let along 'building on a good thing' in anything. Artificial Intelligence needs a long standing think tank of brilliant people to become a reality.
The people who have the greatest advances is not IBM's Watson, but in fact Google. Google was founded by very very intelligent people and those same engineers continue to work on projects to improve upon what they established.
So when you think of AI, you should mentally start with considering how search engines consider words IN CONTEXT. Then consider that this artificial intelligence needs to revert this into all languages, with all major dialects. A GIGANTIC problem in engineering.
Take it to the next step and try to teach morality to this 'AI entity' about the difference in a self driving car being able to discern between objects that suddenly cut in front of a vehicle. Rhetorical: What is the difference between a ball, squirrel, bird and child? Which is more important? Does China value life the same way as Western countries? Are dogs important to 'save'?