Then I have been reading the first name of each user, to manually assign the appropriate sex in the statistics.
The result has been that almost three-quarters of the leaders of the Intelligence Function are women, as can be seen in the attached graph. Among the clients analyzed chosen by date as I said above there are only 4 research organizations, due to the main focus of our company. Therefore there is a majority of industry. And since it is assumed that among manufacturers there is a minority of leadership positions held by women, the bias should go against the obtained result.
Therefore, I can conclude that -at least from the perspective of antara- the Intelligence Function is led by women. I don't know. Do you have any clue? Orlando is a fantastic movie from , based on Virginia Woolf's novel of the same name, and starring Tilda Swinton. In it the protagonist becomes a woman throughout a life of several centuries.
Antara never subcontracts content generation. The opinions of the authors reflect their own points of view, and not those of the company.
It seems that the intelligence of woman cannot solve the problem of woman, which is a bad sign in a superior intelligence. The trouble lies in this: man assumes. Vanity is as old as the mammoth. Romantic lying, obviously connected with vanity , is justly alleged to be deve1oped in woman. No doubt woman's chief desire.
And yet we have a significant skills shortage in the UK and real demand for people who understand and can train AI systems. AI is starting to transform workplaces, and the pace of change is set to accelerate.
What does this mean for women in the workplace, whose jobs may shortly be automated? So the question is, what will these women do in future? We need more bosses and managers who understand how AI is progressing and the implications for their businesses — both regarding opportunities to exploit and risks to minimise.
Understanding how AI will be applied in the workplace and it WILL impact on every sector and how to train, test and supervise AI will be incredibly useful tools and a top strategy for avoiding irrelevance. An unexpected challenge from AI is the emergence of bias in AI systems — often a bias against women that has been learned either from the programmers themselves or more likely, from source material on the internet.
Facing a gender pay gap and general lack of representation in many sectors — are we now going to have to deal with sexist computers as well?! We need female AI developers, designers and trainers to train new systems in real life perspectives and to avoid entrenching bad behaviour on what it has to do, be it in business or consumer markets.
AI presents us with new and sometimes unexpected issues. Solving some of these problems will not always be easy.
But these changes also provide new opportunities for doing good such as providing legal advice at low cost, if not free, or healthcare advice to people in remote parts of the world. For those women who are willing to learn new skills and understand the impact of AI, there will be opportunities to thrive in the workplace, and they may even find themselves in demand.