Get latest articles and stories on Business at LatestLY. Encora, a global next-gen product engineering provider, today announced its offices in India have been named among the top 25 workplaces by Great Place to Work® India in the Information Technology (IT) and Information Technology and Business Process Management (IT-BPM) 2022 category. Business News | Encora Ranks Among Top 25 in 2022 India s Best Workplaces in IT & IT-Business Process Management.
Scottsdale (Arizona) [US], November 29 (ANI/PRNewswire): Encora, a global next-gen product engineering provider, today announced its offices in India have been named among the top 25 workplaces by Great Place to Work India in the Information Technology (IT) and Information Technology and Business Process Management (IT-BPM) 2022 category. Encora was selected from 455 contenders in the category. In addition to the newest recognition, Encora's offices in India were also certified as an overall 2022 Great Place to Work (GPTW) and among India's Best Workplaces for Women 2022. "We're thrilled by the latest honor from Great Place to Work India," said Melissa Ribeiro, Chief People Officer, Encora. "These offices, honoring our global culture philosophy, have worked hard to ensure that Encora offers our employees the absolute best environment to exceed personally and professionally, while being treated with care and consideration. These rankings from Great Place to Wo
types of information so you have information. and this is this is obviously types of information that i m very familiar with, that i have worked. i was essentially one of the most familiar with because we were the ones that really had to categorize this information, put it into subcategories, you know, direct where it flows, train an artificial intelligence algorithm to be able to make predictive analysis based on. so i think that my.i was very familiar and i certainly knew tens of thousands of types of information. you know what types of information, and this was information going back five years to the engagements in afghanistan and iraq of the us military. you knew the types, the categories. but what i m getting to is you didn t go through these files to look at the individual
to is the point that as these were hundreds of thousands of files, there is no way in the world that you had sifted them, filtered them, you just dumped them. no, i wouldn t characterise it as that. i, the way that i view this is these are categorical types of information. so you have information. and this is this is obviously types of information that i m very familiar with, that i have worked. ..that i was essentially one of the most familiar with because we were the ones that really had to categorize this information, put it into subcategories, you know, direct where it flows, train an artificial intelligence algorithm to be able to make predictive analysis based on. so i think that my. i was very familiar and i certainly knew tens of thousands of types of information. yeah, you knew what types of information, and this was information going back five years to the engagements in afghanistan and iraq of the us military. you knew the categories. i think six years. you knew the types, t
well, the so called iraq war logs and the afghan war diaries amounted to hundreds of thousands of separate pieces of information. right. but i mean, like i worked with tens of millions of records every single day. so this is a this is still even a fraction of the kinds of information that we were collecting and using. i don t doubt that. but what i m getting to is the point that as these were hundreds of thousands of files, there is no way in the world that you had sifted them, filtered them, you just dumped them. no, i wouldn t characterize it as that. i the way that i view this is these are categorical types of information. so you have information. and this is this is obviously types of information that i m very familiar with, that i have worked. ..that i was essentially one of the most familiar with because we were the ones that really had to categorize this information, put it into subcategories, you know, direct where it flows, train an artificial intelligence algorithm to be able