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AI Adoption Survey Shows Surprising Results

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Analyst firm Cognilytica recently concluded a survey of global Artificial Intelligence adoption patterns with some surprising and striking results. On the whole, adoption of AI continues to grow strongly in all regions of the world, with specific interest in particular patterns of AI. In a survey sent to more than 1500 decision makers in multiple industries and regions, the general consensus seems to be that over 40% of respondents indicate that they are currently implementing at least one AI project or plan to do so within the short term. However, in the same survey, over 90% of respondents indicate that they plan to implement one of the patterns of AI in the short term, if not already. The chart below shows the findings in more detail.


37% of Artificial Intelligence Technologies are Adopted by High Tech Industry

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Hyderabad, November 23, 2020 –– Analytics Insight conducted a survey "The Global Artificial Intelligence Trends 2020" to understand the global adoption of Artificial Intelligence (AI) amongst enterprises and recognize the business perceptions of AI across sectors. Analytics Insight reached out to 2,200 professionals online located in different geographic regions across a wide range of industries to explore different views toward AI and its current implications among enterprises. Receiving 256 responses for the survey, Analytics Insight articulated a detailed report, which can be indicative of the market as a whole. Out of the 256 respondents, 48.5% were working at small-scale companies with the company size of fewer than 100 employees. About 29.8% of the respondents were employed at companies which had total employees ranging from 100-1000, while 21.7% of respondents had a company size of over 1000 employees.


Going Beyond Machine Learning To Machine Reasoning

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The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, math, and implementation. However, the history and evolution of AI is more than just a technology story. The story of AI is also inextricably linked with waves of innovation and research breakthroughs that run headfirst into economic and technology roadblocks. There seems to be a continuous pattern of discovery, innovation, interest, investment, cautious optimism, boundless enthusiasm, realization of limitations, technological roadblocks, withdrawal of interest, and retreat of AI research back to academic settings. These waves of advance and retreat seem to be as consistent as the back and forth of sea waves on the shore.


Going Beyond Machine Learning To Machine Reasoning

#artificialintelligence

The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, math, and implementation. However, the history and evolution of AI is more than just a technology story. The story of AI is also inextricably linked with waves of innovation and research breakthroughs that run headfirst into economic and technology roadblocks. There seems to be a continuous pattern of discovery, innovation, interest, investment, cautious optimism, boundless enthusiasm, realization of limitations, technological roadblocks, withdrawal of interest, and retreat of AI research back to academic settings. These waves of advance and retreat seem to be as consistent as the back and forth of sea waves on the shore.


PMI: These 6 AI technologies will dramatically reshape enterprise project management

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Artificial intelligence (AI) has permeated enterprise operations to the point that it now determines an organization's success, including in the area of project management. In a report, Project Management Institute (PMI) examines how six AI technologies are affecting today's project managers and will affect project management operations in the future. PMI's AI Innovators: Cracking the Code on Project Performance (2019) found that in the next three years, project professionals expect overall AI usage to jump from 23% to 37% and the majority of respondents (81%) said their organizations are currently being affected by AI technologies. SEE: The ethical challenges of AI: A leader's guide (free PDF) (TechRepublic) "Project leaders are in the earliest stages of adopting AI to streamline--and improve--project work. AI technologies are already contributing to higher productivity and better quality," said Mark Broome, chief data officer at PMI. "For example, technology is decreasing the amount of time project managers need to spend on activities like monitoring progress and managing documentation--they can rely on AI for these more administrative tasks. The time saved can then be repurposed to more strategic and creative tasks and planning."