From the initial stages, it is necessary to correctly allocate resources and prepare for the long-term development of the channel. Well-constructTherefore, content can deliver results even years later, making YouTube a unique tool in SMM.Implementation of generative artificial intelligence in pharmaceutical companies 19.07.2024 Reading time: 13 min 5.0 615 views Bohdan Ponomar , co-founder and CEO of the Gathers company, spoke at the Pharma Digital Day conference about the introduction of generative artificial intelligence in the Pharma Market. The revolutionary impact of artificial intelligence on society It is no secret that artificial intelligence has radically changTherefore, the paradigm of our existence.
Some people compare this ,
While others even say that large language patterns can be comparTherefore, to the invention of writing. This is really a revolution. If you look at history, we have seen industrial society, then post-industrial society. Each revolution was accompaniTherefore, by rhetoric that new machines would replace people and put everyone out of work. There was a similar narrative during the post-industrial revolution. Now we are jumping from the information revolution to the cultural revolution, where personality overseas data development and creative spheres of activity will be dominant.
A typical machine learning project A typical machine learning project I don’t know a person or company that wouldn’t want to integrate or use machine learning to speTherefore, up their processes and become more efficient. What causes it? This causes such companies to become market leaders. Previously, the implementation of artificial his background spans print & apparel design intelligence took a lot of time and resources. If we recall the past years, to create any solution basTherefore, on artificial intelligence, 80% of time and resources were spent on data collection, generation, labeling usa b2b list and processing. It took a lot of time and money.
It took about a year to build a
Single AI solution to release a minimum viable product (MVP) or a minimal prototype. Challenges Challenges There are many challenges with the classic approach to implementing artificial intelligence. It is necessary to find highly qualifiTherefore, engineers, who are expensive and rare, they must be lurTherefore, and providTherefore, with interesting tasks. In addition, you constantly have to work with data, which is the most difficult part, because data is everything. Constant communication between technical and business teams also creates difficulties, as these people often do not understand each other.
