영어에서 Gartner predicts 을 사용하는 예와 한국어로 번역
{-}
-
Colloquial
-
Ecclesiastic
-
Ecclesiastic
-
Programming
-
Computer
Gartner predicts this trend will be mainstream in the next two to five years.
Santhosh Rao, Gartner's principal research analyst, commented that“currently, around 10 percent of enterprise-generated data is created and processed outside a traditionalcentralized data center or cloud… By 2022, Gartner predicts this figure will reach 50 percent.”.
Gartner predicts that by 2016, social technologies will be integrated with most business applications.
In fact, information technology research firm Gartner predicts intelligent automation tools like chatbots will handle 85 percent of customer relationships2Â by 2020. Â.
Gartner predicts that by 2020, 50 percent of queries will be generated via search, NLP, or voice.
Gartner predicts that by 2017, CMOs will control more of the technology budget than CIOs do.
Gartner predicts that in the next two years, 25% of customer service operations will be catered by forms of AI.
Gartner predicts that by 2022, more than 80% of enterprise IoT projects will include an AI component.
By 2020, Gartner predicts that 80% of all businesses will list data as an asset on their balance sheets.
Gartner predicts by 2020 that 50 percent of analytical queries will be generated via search, NLP or voice.
Gartner predicts that by 2017, 50% of IoT devices will be created by companies that are younger than three years old.
Gartner predicts that by 2017, 50% of IoT devices will be created by companies that are younger than three years old.
Gartner predicts that by 2020, 75% of the world's public cloud will run on MSPs such as Bespin Global.
By 2020, Gartner predicts intelligent automation tools like chatbots will handle 85 percent of customer relationships.".
Gartner predicts that by the year 2016, the average personal cloud will be operational across at least six different types of device.
Gartner predicts that by 2020, 50 percent of analytical queries will be generated via search, natural language processing(NLP), or voice.
Gartner predicts that through the end of 2017, at least 10% of enterprises will leverage SDP technology to isolate sensitive environments.
Gartner predicts that by 2020, 50 percent of analytical queries will be generated via search, natural language processing(NLP), or voice.
Gartner predicts that the adoption of SASE will take place over the next five to 10 years, rendering existing network and security models obsolete.
Gartner predicts that by 2020, 50% of organizations will lack sufficient artificial intelligence and data literacy skills to achieve business value.
Gartner predicts that, by 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader use by citizen data scientists.
Gartner predicts that through the end of 2017, at least 10% of enterprise organizations will leverage software-defined perimeter(SDP) technology to isolate sensitive environments.
Gartner predicts that, by 2023, 60% of organizations with more than 20 data scientists will require a professional code of conduct incorporating ethical use of D&A.
Gartner predicts that, by 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader use by citizen data scientists.
Gartner predicts that by 2019, 85% of customer service and support software will be cloud-based, meaning companies will need a SaaS solution that can meet their needs.
Gartner predicts that by 2022, nearly 85 percent of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing these projects.
Gartner predicts that by 2015, most organisations will have part of their run-the-business software functionally executing in the cloud, using PaaS services or technologies directly or indirectly.
In fact, Gartner predicts that by 2020, augmented reality, virtual reality, and mixed reality immersive solutions will be a part of 20% of enterprise's digital transformation strategy.”.
Gartner predicts that‘by 2018, more than half of large organizations globally will compete using advanced analytics and proprietary algorithms, causing the disruption of entire industries'.
Gartner predicts that by 2017, the typical IT organization will spend up to 30% of its budget on risk, security and compliance, and will allocate 10% of its people to these security functions.