Industry
In an industry characterized by disruption, the rules for profitable growth and competitive advantage continue to be re-written. From ML algorithms that automatically detect bugs and erroneous code, to AI-powered coding assistants that auto-complete fully functional code lines based on the context of the developer’s intentions, it is now neural networks that are fundamentally changing the software development paradigm.
Investing now in AI tools to power DevOps presents an opportunity for companies to design, develop and deploy software faster and for less money, helping to mitigate some of the traditional constraints that have made it hard to meet the increased demand for sophisticated software solutions.
Business leaders need to make nimble yet informed decisions on where to invest in AI to see the highest returns. We partner with our clients to define where their priorities should be and build state-of-the-art, bespoke artificial neural networks that offer a competitive edge and drive lasting value.
Leverage the potential of ML to transform your testing into a robust, self-driving exercise with minimum manual intervention. Autonomous and intelligent agents, or ‘test bots’, powered by decision tree learning, neural networks and reinforcement learning can supercharge your differential testing, visual testing and declarative testing.
SaaS business models, and the increased number of end-user touch points they necessarily entail, offer an unparalleled opportunity to mine usage data and drive continuous software improvement. We employ ML models to refine and redirect SPI, helping our clients to prioritize points for improvement and support strategic decision-making.
In an increasingly complex threat environment, we provide comprehensive, real-time monitoring of cloud platform security events of the hosts, virtual machines and cloud management software. We supply our clients with early warnings to empower preventative action and guarantee the security of their platforms.
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