“The adoption of AI is accelerating as businesses see it’s transformational value to power new innovations and growth,” said Bhaskar Ghosh, group chief executive, Accenture Technology Services. “As organizations embrace AI, it is critical to find better ways to train and sustain these systems – securely and with quality – to avoid adverse effects on business performance, brand reputation, compliance and humans.”
According the Accenture Technology Vision 2018, AI systems require addressing many of the same challenges faced in human education and growth: fostering an understanding of right and wrong, and what it means to behave responsibly; imparting knowledge without bias; and building self-reliance while emphasizing the importance of collaborating and communicating with others.
“Testing AI systems presents a completely new set of challenges. While traditional application testing is deterministic, with a finite number of scenarios that can be defined in advance, AI systems require a limitless approach to testing,” said Kishore Durg, senior managing director, Growth and Strategy and Global Testing Services Lead for Accenture. “There is also a need for new capabilities for evaluating data and learning models, choosing algorithms, and monitoring for bias and ethical and regulatory compliance. Accenture’s “Teach and Test” methodology takes all of this into consideration to help companies develop and validate AI systems with confidence.”
Accenture used its “Teach and Test” methodology to train a conversational virtual agent for a financial services company’s website, so that it could engage in accurate, unbiased conversations and know when to refer conversations to a human. The agent was trained 80 percent faster than previously possible and achieved an 85 percent accuracy rate on customer recommendations.
The methodology was also used to teach a sentiment analysis solution to evaluate a brand’s service performance by analyzing social media, news and other sources in real time. Having the right training data enabled the solution to correctly interpret sentiments in different contexts and domains. The training time for models was cut in half, enabling faster analysis and business results.
Accenture AI Testing is part of a complete range of testing services that helps quality engineering professionals be a catalyst for speed, agility and business performance while achieving radical productivity. Accenture serves over 1,000 testing clients across more than 40 industries and is recognized as an industry leader in testing innovation. More information on the ”Teach and Test” methodology can be found here.