SANTA CLARA, Calif. (March 14, 2018) Today, enterprise digital solutions provider Infostretch introduced ASTUTE, an AI-powered quality engineering suite, comprised of intelligent testing services and BOTs that leverage advanced machine learning techniques. Infostretch ASTUTE (AI Testing Suite) enables enterprises to launch digital transformation initiatives in a matter of weeks, as opposed to months, while reducing test efforts by at least 35% percent.
The growing demands of digital are pushing enterprises to the limit, requiring faster release cycles that consume a significant amount of resources. While agile development can help alleviate this pressure, enterprises have been slow to optimize testing due to lack of expertise, limited knowledge of tools and an overwhelming test case backlog. According to the latest World Quality Report, 99% of organizations face challenges testing in their agile environments while the average level of automation is only around 16%.
ASTUTE incorporates certified QE teams who assess testing maturity and deploy ready-to-tune, pre-configured BOTs to optimize every testing phase — from discovery to maintenance — to clear backlogs, quickly predict and prevent defects, and speed release cycles with a targeted outcome-based approach. A centralized analytics system simplifies the task of monitoring BOT performance and test quality, allowing senior management to calculate savings and return on investment for their testing efforts.
“Competitive pressures are driving enterprises to push new innovations faster to market” said Ed Hein, Manager – Digital Verification and Validation at LifeScan (a Johnson & Johnson Company). “With increasing adoption of Agile and DevOps, traditional software testing processes are not able to scale. By deploying AI-powered BOTs for test automation, organizations can now focus more on delivering superior customer experiences rather than solving everyday testing challenges.”
“Massive amounts of data, lack of expertise and huge testing backlogs are all contributing to the growing complexity of software testing. Enterprises need smart decision–making, fast validation and intelligent automation to keep up with these demanding testing challenges,” said Rutesh Shah, Infostretch Chief Executive Officer and Co-Founder. “We’re blowing up the traditional testing model with Infostretch ASTUTE, a smarter testing solution powered by AI, machine learning and smart analytics to achieve true end-to-end digital transformation.”
“Enterprises are looking to AI to exploit the wealth of data found in various levels of their IT organizations, whether at the software development level, or on the production side. With AI, they have an untapped opportunity to better identify where defects lie, increase the quality of applications, and ultimately improve the UX of end-users, customers, and other stakeholders”, said Dominique Raviart, IT Services Practice Director for analyst firm NelsonHall.
Register today for our upcoming webinar on how AI is transforming software testing to join a panel discussion with Infostretch experts, key analysts and renowned brands.
Contact us today at info@apexon.com for questions.
About Infostretch
Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Infostretch works with both large market-leading enterprises and emerging innovators — putting digital to work to enable new products and business models, engage with customers and partners in new ways, and create sustainable competitive differentiation.
About ASTUTE
ASTUTE incorporates certified QE teams who assess testing maturity and deploy ready-to-tune, pre-configured BOTs to optimize every testing phase — from discovery to maintenance — to clear backlogs, quickly predict and prevent defects, and speed release cycles with a targeted outcome-based approach. A centralized analytics system simplifies the task of monitoring BOT performance and test quality, allowing senior management to calculate savings and return on investment for their testing efforts.