The State Of Artificial Intelligence- What is the state-of-AI in January 2019? Recent surveys show increased adoption of AI, some measurable impact, people-related challenges for enterprises trying to implement AI, and lots of issues related to data, the lifeblood of AI: what role does data play in the lives of organizations, how secure they keep it and their policies regarding data privacy. Moreover, the general public is still not sure if AI is good or bad for humanity and that may play an important role in the speed of its adoption as a business tool.
Current and future AI adoption: Steadily increasing
- 92% are increasing their pace of investment in big data and AI and 62% have already seen measurable results (NewVantage).
- 36% say that artificial intelligence (AI) and machine learning (ML) have played a significant role in their organization’s digital strategy and 45% regard AI/ML as the most important technology to play a significant role in their organization’s digital strategy three years from now (EIU).
- 28% of retailers are deploying AI today, up from 17% in 2017 and 4% in 2016 (Capgemini).
- 73% have implemented security products that incorporate at least some aspect of AI but 25% do not plan to implement additional AI-enabled security solutions in the future (Osterman).
- 22% are applying advanced analytics and AI to predict cyber-intrusion risks (SMR).
- 86% explored machine-learning (ML) and artificial intelligence (AI) solutions to cybersecurity (Radware).
- Only 7% apply machine learning and artificial intelligence in decision-making or production workflows (SMR).
Some evidence and a lot of expectations for positive impact of AI
- 98% of retailers using AI in customer-facing functions expect the number of customer complaints to be reduced by up to 15%, while 99% expect AI to increase sales by up to 15% (Capgemini).
- 71% of retailers say AI is creating jobs today, with 68% of the jobs being at a senior level; 75% report that AI has not replaced any jobs in their organization so far (Capgemini).
- 48% point to quicker response times and better security as primary drivers to explore ML-based solutions to cybersecurity (Radware).
Challenges in AI implementation are more about people than technology
- 77% say that “business adoption” of big data and AI initiatives continues to represent a challenge for their organizations. Executives cite multiple factors (organizational alignment, agility, resistance), with 95% stemming from cultural challenges (people and process), and only 5% relating to technology (NewVantage).
- While 76% report they have increased access to data they judge useful, only 43% feel they frequently have the right data needed to make decisions (SMR).
- AI-based cybersecurity products deliver inaccurate results (54%), are difficult to use (42%), and are more expensive than traditional ones (71%) (Osterman).