An AI-driven approach to software testing disrupts the traditionally linear relationship between the number of software releases and the associated testing overhead. AI-based test automation technologies can deliver real ROI today and come with the potential of addressing many of today’s critical automation bottlenecks that stifle modern software delivery.
Ultimately, AI-driven testing eliminates the vicious rectangle that forces organizations into a trade-off between releasing faster, optimizing spend, improving the customer value of the product (quality), and reserving time for innovation.
Join Torsten Volk, Enterprise Management Associates (EMA), Managing Research Director as he discusses his latest research “Disrupting the Economics of Software Testing Through AI”
Talking points include:
- Why is the cost of quality control out of control?
- The critical pain points faced by modern software development teams.
- 5 ways Artificial Intelligence (AI) and machine learning (ML) can help today.
Managing Director, Enterprise Management Associates
With over 15 years of enterprise IT experience, including a two-and-a-half-year stint leading ASG Technologies’ cloud business unit, Torsten Volk aims to help EMA customers, industry vendors and end users leverage the opportunities presented by today’s hybrid cloud and software-defined infrastructure environments in combination with advanced machine learning.
Torsten specializes in topics that lead the way from hybrid cloud and the software-defined data center (SDDC) toward a business-defined concept of enterprise IT. He spearheads research projects on hybrid cloud and machine learning combined with an application- and service-centric approach to hyperconverged infrastructure, capacity planning, intelligent workload placement, public cloud, open source frameworks, containers and hyperscale computing.