Accenture Expands Touchless Testing Platform with Artificial Intelligence (AI) Technology from Real Time Analytics Platform, Inc.

Accenture (NYSE:ACN) has acquired an artificial intelligence (AI)
technology from Bay Area, California-based Real Time Analytics Platform,
Inc. The technology will be integrated into the Accenture
Touchless Testing Platform, further strengthening its analytics and
cognitive capabilities. Terms of the deal were not disclosed.

Real Time Analytics Platform leverages AI in the form of machine
learning, neural networks and natural language processing (NLP) to
analyze every stage of the software testing life cycle, enabling users
to make data-driven decisions that reduce defects, optimize test case
execution and enhance the power of human decision-making in this
process. These capabilities complement the existing functionality of the
Accenture Touchless Testing Platform to help enable extreme automation
and usher in an era of AI-enabled services.

“Continuous testing is increasingly important as companies look to
software as a means of competitive advantage,” said Kishore Durg, senior
managing director, Growth & Strategy and global testing lead for
Accenture Technology. “With advances in AI and analytics we can find
inefficiencies and eliminate them, improving business productivity by up
to 50 percent. The integration of Real Time Analytics Platform will
further enhance the AI-driven capabilities of the Accenture Touchless
Testing Platform to help our clients increase productivity and agility.”

The integration of the Real Time Analytics Platform is Accenture’s
latest investment in differentiated AI testing capabilities. Earlier
this year, Accenture launched new services for testing AI systems
powered by a “Teach
and Test” methodology designed to help companies validate the
safety, reliability and transparency of their AI systems. Accenture
holds more than 250 patents and patent pending applications related to
software testing. Real Time Analytics Platform’s patent pending AI for
Testing application is a major technological breakthrough in the field
of software testing.

Sam Bhat, CEO, Real Time Analytics Platform, Inc. added, “As more
organizations embrace digital transformation, the demand for testing and
quality assurance will only increase as it’s a critical component for
ensuring new applications meet the demands of the business. We’re
excited about the value our platform will bring to their already robust
offerings in this space.”

The Accenture Touchless Testing Platform brings together leading open
source, commercial and Accenture proprietary tools and algorithms to
automate a robust, touchless testing process for software – all guided
by artificial intelligence and analytics. The platform allows testing
teams to easily integrate tools from leading players, along with key
Accenture innovations, to bring new enterprise software solutions to
market faster and with higher quality. The platform can be deployed
independently or as part of Accenture

For more on Accenture’s view of the future of testing and quality
engineering, visit

About Accenture.

Accenture (NYSE: ACN) is a leading global professional services company,
providing a broad range of services and solutions in strategy,
consulting, digital, technology and operations. Combining unmatched
experience and specialized skills across more than 40 industries and all
business functions – underpinned by the world’s largest delivery network
– Accenture works at the intersection of business and technology to help
clients improve their performance and create sustainable value for their
stakeholders. With 449,000 people serving clients in more than 120
countries, Accenture drives innovation to improve the way the world
works and lives. Visit us at

About Real Time Analytics Platform, Inc.

Real Time Analytics Platform, Inc. (RTAP) is a Bay Area, California
based technology start-up which has built an AI platform for optimizing
the software testing process. Since human effort in this field is
neither scalable or predictable, RTAP’s machine learning models can
quickly and accurately analyze data from several sources to predict and
prescribe the optimal way to test and deliver software products. RTAP
integrates easily with existing systems and has all the data
engineering, data science and visualization components for implementing
AI enabled testing services.

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