Artificial Intelligence (AI) is the simulation of human behavior and cognition in a machine. This is not a new word and not a new technology for researchers. It has been observed that it was one of the oldest science on earth, even there are the myths of Mechanical men in Ancient Greek and Egyptian Myths. Now AI has evolved to be much more advanced and a lot of time is spent on research for making AI work on a high level. AI is not just about programs and computers but it’s a complex science that involves many different disciplines like computer science, math, statistics etc.
Read more ...Online research is cheap and fast which helps researcher to gain insight quickly. However, beside the good points, online research has also many disadvantages, which make researchers hesitate to use it.
Read more ...Finding out if your startup has product-market fit — that is, if you have validated that there’s a market for your product and people will pay money for it — sounds like something you have to do later in the process, when your business is already well on its way. But finding out whether your startup has PMF is important because it means you can justify investing resources during the next stage of growth.
Read more ...There is widespread discussion regarding the impact of machines on employment. In some sense, the discussion mirrors a longstanding literature on the impact of the accumulation of capital equipment on employment; specifi cally, whether capital and labor are substitutes or complements. But the recent discussion is motivated by the integration of software with hardware and whether machines might also be involved in mental activities such as problem solving (similarly to how computers and software have played a role in such activities).
Read more ...AI and Machine Learning is the most recent development in data science. It automatically discover patterns, learn from signals, and make predictions with very little human input. Unlike previous AI-related technologies, which were used primarily for military applications, this trend will be a significant business application in project management. Artificial intelligence is no longer confined to cutting-edge IT and technology applications. AI has already begun to make inroads into more traditional settings to augment or replace tasks traditionally performed by humans, including project managers. AI is already being used for administrative tasks such as maintaining registers and logs, automating meeting preparation such as room booking, emailing invitations, agenda drafting, and meeting minuting.
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