Search Results for: consulting-firm

… place where questioning should stop. It is a place where questioning should begin. AI is quite dangerous in that it can easily fall into the same fallacy of the omniscient deity, that the deity has all the answers and that the deity should not be questioned. This is precisely the thinking that science spent the last several hundred years trying to dismantle.
Consulting firms, most likely just like the group of people used by the Hillary Clinton campaign, are using the term AI to bill hours and gain power by tricking non-technical people to build systems that allow …

… written by a Forbes author but this time by a Forbes contributor — who again is a promoter of AI. Journalists wrote neither of the Forbes articles. Instead, it was written by two individuals who wrote for free to get their name out there to attain business for their AI-based consulting firms.
Crunchbase’s Coverage
Unfortunately, customers don’t regularly come to McDonald’s for healthy offerings, he said. So the data will tell McDonalds to push items like fries or burgers vs salads. From a business standpoint, he said it gives McDonald’s the green light to suggest more …

… to data scientists to lead the way.
A LinkedIn report from August found more than 151,000 job postings for data scientists, with acute shortages being felt in big tech hubs like San Francisco, New York City, and Los Angeles.
The big data boom has been a boon for management consulting firms like Deloitte, McKinsey, Accenture, PwC, KPMG, and Booz Allen Hamilton, all of which have devoted large sums to attracting and retaining top data science talent over the past decade.” – Datanami
This article is very similar to most of the articles we found on this topic in that data …

… Dispensers on eBay. Then when the data can’t be acquired, the project can be halted, and the resume can be updated, showing great benefits from the previous AI project.
Justifying Past Investments in AI
there is a real danger with AI being put into place not because it is proven to work, but because all of these investments must be justified. I know the consulting firms will be rigging the results of AI projects, and when these models are rolled out, they will be rolled out without sufficient evidence that they work long term. The gigantic (AI) failure of

… derive insights from the data. And there has been a great overselling of the benefits of Big Data. This is made even starker in contrast when it is realized that companies have significant challenges in mastering “Small Data,” such as forecasting from the sales history. Why did these vendors and consulting firms think the following:

That all companies would have opportunities to improve predictability from Big Data?
That all companies would be able to master the accumulation of large amounts of data?
That ML algorithms would be worth the effort and would outperform “Small Data” forecasting?
That all companies would …