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As enterprises embark on their next digital transformation phase, the pressure for daily deployments and the adoption of DevOps practices is inevitable. Accelerating Quality Assurance (QA) at speed and scale has now become crucial and has a competitive edge. Yet, despite investments in advanced testing solutions and test automations, organizations struggle with significant efforts across QA testing phases.
Partner with us to unlock the potential of MAGE, our enterprise AI platform. MAGE serves as an innovative testing accelerator, offering unprecedented acceleration in AI-led Quality Engineering. Powered by cutting-edge Data Engineering with AI/ML and predictive analytics, MAGE revolutionizes every testing stage, from test case generation to tool management and test data creation.
Integrating seamlessly into your existing tech stacks, MAGE elevates testing efficiency to unparalleled levels with minimal effort and disruption, while delivering substantial business benefits.
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Accelerate Test Data Generation with MAGE! It offers enterprise-scale capabilities and marketplace approach that empowers your teams to utilize a single infrastructure for data generation. The accelerator:
Transform the test case generation process with MAGE for unmatched efficiency and precision. Leveraging MAGE,
Proactively identify and mitigate potential vulnerabilities within software applications.
Stay ahead of the game with AI-generated precise demand forecasts. Our pre-built AI models help you jumpstart the analysis of various demand patterns and orders, manage logistics, and replenish inventory based on customer demand. In other words, keep the supply chain agile and nimble, extract insights from data, and plan logistics holistically. Ensure optimized merchandise delivery with minimal human intervention, redefining efficiency and customer satisfaction in one fell swoop.
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AI integration presents a range of challenges for businesses, from compatibility with legacy systems to ensuring ethical practices and overcoming scalability issues.
As enterprises embark on their next phase of digital transformations, the demand for daily deployments and DevOps practices becomes increasingly inevitable.
AI has permeated every part of our lives, evolving from recognizing patterns to achieving human efficiency. Treading deeper into the AI landscape, generative AI (GenAI) has become the new normal, reshaping every industry.
All industry use cases and market predictions point in the direction of AI-driven contact centers — as the next strategic step for boosting agent productivity, supercharging customer experience, and increasing operational efficiency.
Generative AI (GenAI) has expanded the horizons of innovation and challenged us to rethink the potential of workflows, efficiency, and intelligence.
In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape.
In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact.
In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users.
The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges.
Enterprises are no strangers to disruptions, with uncertainty lurking around every corner. In this dynamic environment, adaptability and resilience aren’t just admirable qualities but essential for business survival.
The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity.
Case Studies
We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions.
Case Studies
We helped a large public research university in California build AI/ML-driven solutions for managing technical data.
Case Studies
We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution.
Case Studies
We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution.
AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace.
The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more.
Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation.
AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision.
Talk to our domain experts to understand the best Enterprise AI use cases for your business.
Talk to our domain experts to understand the best use cases of Enterprise AI for your business.
© Copyright 2023 HTC Global Services. All Right Reserved
© Copyright 2023 HTC Global Services. All rights reserved