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Innominds
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Innominds is an AI-first, platform-led digital transformation and full cycle product engineering services company headquartered in San Jose, CA. Innominds powers the Digital Next initiatives of global enterprises, software product companies, OEMs and ODMs with integrated expertise in devices & embedded engineering, software apps & product engineering, analytics & data engineering, quality engineering, and cloud & devops, security. It works with ISVs to build next-generation products, SaaSify, transform total experience, and add cognitive analytics to applications.

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Recent Posts

80% Reduction in Testing Efforts for A VR Gaming Platform from Innominds’ Test Automation Labs

By Innominds In QA, Quality Engineering Posted

Game testing is a specialized skill that requires diverse tests to be performed in order to meet complex architectural needs and recent emergent compliance rules in game development. The number of elements interacting with each other inside a game is large, so identifying and testing them takes up a large chunk of the time and effort of test engineers. 

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An Overview into Innominds’ Top 10 Industrialized AI Solutions for Enterprises

By Innominds In Big Data & Analytics Posted

Making data useful is an essential part of driving decisions for enterprises. The measure of successful business productivity and adaptability lies in utilizing dormant data in the face of rapid changes. Empowering the front-line of business through AI and analytics will create ample opportunities for growth and long-term stability.‘

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Car Sales Solution Finds New Trajectories in Quality Engineering with DevOps and Test Automation

By Innominds In Quality Engineering Posted

Adapting to changing consumer requirements is a primary goal for any organization to sell better and progress in managing their business from the sales point of view. When a business fails to recognize the customer’s choice and preferences, catering to the relevant market becomes more and more of a stressful scenario.  

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How NLP-based Cognitive Capabilities of AI Chatbots Increase Business Interactivity

By Innominds In Platforms and Solutions Posted

As conversational AI technologies gain traction, they substitute hard processes, becoming valuable assets to businesses that are seeking to gain a competitive advantage among peers. Automated processes reduce the burden on employees in every office space by taking away the most time-consuming and mundane activities that plug creativity.  

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How Conversational AI Creates New Business Avenues for Enterprises and ISVs

By Innominds In Solutions Posted

As businesses are growing, serving customer queries is no longer restricted to direct and personal employee interactions but has instead moved to digital channels through interactive displays and service chat bots.

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Cloud-Native Application Testing: Why it is Critical for Your Business?

By Innominds In Quality Engineering Posted

For every organization, innovation and resilience is the only thing that keeps them motivated to keep going amidst a global pandemic.

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Why Multicloud Adoption Implies Long-term Value Instead of Lowered IT Spend

By Innominds In Cloud & DevOps Posted

In the absence of a planned cloud strategy, adopting a multicloud approach may lead to higher spending. A long-term value vs cost perspective will help enterprises realize higher benefits.

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Essential Strategies to Overcome IoT Automation Testing Challenges

By Innominds In Quality Engineering Posted

IoT application testing is an essential part of smart device development. Just like any other system, the IoT systems have to work seamlessly well in the desired environment during their deployment. Hence, it demands rigorous testing as they are often deployed in heterogenous application platforms with various infrastructural dependencies. The devices are also mostly located far from any

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Combining the Strength of Cloud with Edge Computing

By Innominds In Cloud Posted

Centralized servers were established as the be all and end all of computing until it started to change as this form of computing is costly, hard to scale and resource intensive. Cloud computing emerged as the most flexible model of computing that could cater to a wider range of networking requirements. But computing needs have grown to the peripherals of the network with devices called as edge

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Driving Smart Farming with Advanced AI, IoT, and Data Solutions

By Innominds In Connected Devices and IoT Posted

At the core of the advanced AI, IoT, big data and analytics-based solutions for smart farming is the collection and analysis of data for generating real-time relevant insights at scale and speed, leading to phenomenally higher yield and better utilization of resources.

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