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This Week In AI Stats: Up To 50% Failure Rate In 25% Of Enterprises Deploying AI

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The surveys, studies, forecasts and other quantitative assessments of the health and progress of AI for this week reveal the state of enterprise AI adoption, workers’ attitudes towards AI, data insecurity and privacy challenges, the fortunes of AI startups, and the superior performance of AI over humans in some situations.

25% of organizations worldwide that are already using AI solutions report up to 50% failure rate; lack of skilled staff and unrealistic expectations were identified as the top reasons for failure [IDC global survey of 2,473 organizations, May 2019]

An analysis of 1,600+ publicly traded US retailers’ 2018 earnings calls found that only 9 of 50+ companies had started to discuss an AI strategy [CB Insights]

70% of US workers say they hold a positive outlook on AI technologies, including chatbots, augmented reality (AR), and robots. 32% say they believe AI will have an overall positive impact on their job in the next five years. Just 19% of those surveyed express fear that AI/bots could swallow their jobs within the next decade [Genesys]

Only 25% of organizations worldwide that are already using AI solutions have developed an enterprise-wide AI strategy [IDC global survey of 2,473 organizations, May 2019]

More than 60% organizations worldwide that are already using AI solutions reported changes in their business model in association with their AI adoption [IDC global survey of 2,473 organizations, May 2019]

IT operations is the number 1 business area for employing AI, followed closely by customer service and fraud/risk management [IDC global survey of 2,473 organizations, May 2019]

68% of U.S. workers say they are not yet using tools that leverage AI [Genesys]

8% of U.S. employees say they dislike new workplace technology such as AI and bots because it takes away their easy tasks [Genesys]

52% of U.S. workers surveyed say AI has not yet affected their jobs; that number falls to 29% when asked about a five-year timeframe, with expectations for an increase in both positive and negative effects [Genesys]

More than 2 million cyber incidents in 2018 resulted in over $45 billion in losses, with 95% of those attacks being preventable [OTA]

In 2018, the impact of ransomware rose 60%, losses from business email compromise doubled and cryptojacking incidents more than tripled [OTA]

31 million people in the US will shop via a smart speaker in 2019, up 31.6% from 2018 and rising to 38 million in 2021 [eMarketer]

What challenges would you like to see AI tackle? 32% (top response) of PCMag readers say “assistance with early detection and prevention of medical problems” [PCMag]

The AI in Healthcare market will grow from $0.95 billion in 2017 to $19.25 billion in 2026 [ResearchAndMarkets.com]

The AI in Healthcare market will reach over $8 billion worldwide by 2026, growing at 49.7% CAGR from 2019 to 2026 [Acumen Research]

China’s AI startups raised only $140.7 million in the second quarter of 2019 compared with $2.87 billion in the same quarter last year [Financial Times]

China imported more than $300 billion worth of chips last year, more than it spent bringing in oil [Financial Times]

The FBI has a database of over 640 million faces, getting close to China’s reported database of 1 billion facial images [Fortune]

$66 billion have been invested in AI startups across 6,969 deals from the second quarter of 2013 to the second quarter of 2019 [CB Insights]

Robotics companies (mostly those developing autonomous vehicles) raised more than $15.6 billion during the first half of 2019 [The Robot Report]

89% of advancement (development) professionals in the non-profit sector agree that AI will make their teams more efficient but only 28% report currently deploying, implementing, or experimenting with AI in their organizations [AAAC]

Google’s language experts review 0.2% of the total (undisclosed) amount of audio clips recorded regularly by Google Assistant [Google]

Amazon’s fastest growing highly skilled jobs over the last five years are data mapping specialist (832% growth), data scientist (505%), solutions architect (454%), security engineer (229%) and business analyst (160%) [Amazon]

The Robotic Process Automation (RPA) software market grew 63.1% in 2018 to $846 million and will reach $1.3 billion in 2019 [Gartner]

Automated science? Analyzing 3.3 abstracts material science papers published between 1922-2018 with an unsupervised natural language processing method, researchers have demonstrated it can recommend materials for functional applications several years before their discovery, highlighting “the possibility of extracting knowledge and relationships from the massive body of scientific literature” [Nature]

An AI program developed by Alibaba achieved a record-high score on a reading comprehension test. Alibaba said it had already applied this Natural Language Processing technology to its current services such as Alime, the company’s customer-service chatbot [Alizila]

A Deep Learning algorithm outperformed six radiologists in lung cancer screening with absolute reductions of 11% in false positives and 5% in false negatives, when prior computed tomography imaging was not available. Where it was available, the model performance was on-par with the same radiologists [Nature Medicine]

Only 5% of oncologists describe themselves as being “very familiar” with the use of AI artificial and machine learning in health care, but 36% said they believe it will have a significant impact in cancer care over the next few years; 53% of said that AI tools are likely or very likely to improve the quality of care in three years or more; 37% (top response) said the most valuable benefit that AI could deliver to their practice was “automating administrative tasks so I can focus on patients” [Cardinal Health Specialty Solutions survey of more than 180 oncologists]

Researchers at Columbia University, Beijing Institute of Technology, and University of Science and Technology of China have demonstrated that a reinforcement learning algorithm has performed better  than the Dow Jones Industrial Average and the traditional investment portfolio allocation strategies [arxiv.org]

 

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