AD
#вопрос
Друзя, дайте примеры функциональности - augmented analytics и conversational analytics
... по второму более менее понятно, но хотелось пообсуждать тренды этого года
By 2020, augmented analytics will be a dominant driver of new purchases of analytics and business intelligence, data science and machine learning platforms, and embedded analytics.
By 2020, 50% of analytical queries either will be generated via search, natural language processing or voice, or will be automatically generated.
By 2020, organizations that offer users access to a curated catalog of internal and external data will derive twice as much business value from analytics investments as those that do not.
By 2020, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.
By 2021, natural language processing and conversational analytics will boost analytics and business intelligence adoption from 35% of employees to over 50%, including new classes of users, particularly front-office workers.
Друзя, дайте примеры функциональности - augmented analytics и conversational analytics
... по второму более менее понятно, но хотелось пообсуждать тренды этого года
By 2020, augmented analytics will be a dominant driver of new purchases of analytics and business intelligence, data science and machine learning platforms, and embedded analytics.
By 2020, 50% of analytical queries either will be generated via search, natural language processing or voice, or will be automatically generated.
By 2020, organizations that offer users access to a curated catalog of internal and external data will derive twice as much business value from analytics investments as those that do not.
By 2020, the number of data and analytics experts in business units will grow at three times the rate of experts in IT departments, which will force companies to rethink their organizational models and skill sets.
By 2021, natural language processing and conversational analytics will boost analytics and business intelligence adoption from 35% of employees to over 50%, including new classes of users, particularly front-office workers.
