Accenture Expands Touchless Testing Platform with Artificial Intelligence (AI) Technology from Real Time Analytics Platform, Inc.
NEW YORK--(BUSINESS WIRE)--Jul 12, 2018--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 myWizard®.
For more on Accenture’s view of the future of testing and quality engineering, visit https://www.accenture.com/us-en/insights/technology/quality-engineering-new
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 www.accenture.com.
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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PUB: 07/12/2018 07:59 AM/DISC: 07/12/2018 07:59 AM