Artificial intelligence's emergence into the mainstream of enterprise computing raises significant issues -- strategic, cultural, and operational -- for businesses everywhere. What's clear is that enterprises have crossed a tipping point in their adoption of AI. A recent O'Reilly survey shows that AI is well on the road to ubiquity in businesses throughout the world. The key finding from the study was that there are now more AI-using enterprises -- in other words, those that have AI in production, revenue-generating apps -- than organizations that are simply evaluating AI. Taken together, organizations that have AI in production or in evaluation constitute 85% of companies surveyed.
Despite the hype surrounding artificial intelligence, we're still in the early stages of adopting machine learning in the enterprise, according to a new survey released today by O'Reilly Media. The survey also found that large-scale production deep learning rarely happens on the cloud, and that companies pursuing machine learning are actively embracing privacy, security, and fairness. Nearly half (49%) of the 11,400 people who took O'Reilly's survey this June indicated they were in the exploration phase of machine learning and have not deployed any machine learning models into production. That compares to 36% of who said they were an early adopter (models in production from two to five years), while 15% considered themselves sophisticated users (models in production for more than five years). "A lot of people are very interested in machine learning, but a lot of them are in the getting-started phase in terms of actually putting these things into productions in products and services," O'Reilly's Chief Data Scientist Ben Lorica tells Datanami.
Artificial intelligence (AI) and machine learning adoption continue to explode across the enterprise, as organizations plan to double the number of AI projects they have in place within the next year, according to Gartner's Survey Analysis: AI and ML Development Strategies, Motivators and Adoption Challenges, released Monday. Of the 106 IT and business professionals surveyed, 59% said they have deployed AI already, Gartner found. Organizations currently working with AI or machine learning have an average of four AI projects currently in place, Gartner found. Organizations expect to add six more AI and machine learning initiatives to their slates over the next year, and another 15 within the next three years, according to the survey. In other words, by 2022, organizations plan to have an average of 35 AI or machine learning projects in place.
Enterprises are ploughing on with AI adoption despite facing a skills crisis, says a new survey by O'Reilly, the e-learning provider. According to the survey, 23% of respondents feel that the lack of skilled people is hampering AI adoption. In O'Reilly's 2018 AI survey, 20% of respondents said the lack of skilled people slowed adoption. But despite the skills gap, 81% of respondents work for organisations that already use AI. Furthermore, more than 60% of organisations are planning to spend at least 5% of their IT budget on AI over the next 12 month; 19% are planning to spend at least 20% on their IT budget on AI.
Despite perceived employee concerns, US business leaders are moving ahead with adoption of artificial intelligence (AI) in the enterprise, according to a Thursday report from Genesys. By 2022, 60% of US company leaders said they expect to be using AI or advanced automation to improve operations, staffing, budgeting, or performance--an increase from the 24% who said they are already doing so. Of the 303 US employers surveyed, 57% said they were enthusiastic about new workplace tech tools including AI and bots. Some 32% said they believe AI enables companies to achieve goals faster, more effectively, and for less money. Another 25% said they believe AI allows employees to become more productive, and feel more valuable, the survey found.