Application Infrastructure

Cigniti Enhances its 5G Assurance Focus With innovate5G Partnership

Cigniti | December 06, 2021

Cigniti-Enhances-min
Cigniti Technologies, a global leader in independent quality engineering and software testing services, expands its portfolio of pioneering innovative digital assurance and experience solutions for next generation 5G technologies by forming a strategic partnership with innovate5G.

As companies move to 5G, they are going to be challenged in optimizing for the plethora of possibilities that 5G has to offer and with that, customer expectations and demand for new services will increase at a rapid pace. So, whether it be enhanced video, telehealth, adaptive manufacturing, AR/VR, gaming, consumer IoT services, connected vehicles, to name just a few, the pivot to the 5G paradigm will be significant as will the manner in which these new solutions are rolled out.

Embracing this new horizon of transformation and realization of 5G networks - machine type communication (mMTC), enhanced mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC) – creates the mandate for a new paradigm of digital assurance. innovate5G’s in5Genius platform combined with Cigniti’s 5G Assurance capabilities, creates an end-to-end assurance model for organizations that are leveraging 5G as the backbone for their business and consumer applications, IoT, and edge computing.

“The promised benefits of 5G - high-speed networks, increased capacity and minimal latency – creates a new dimension for companies to exploit across business and consumer applications, as well as with IoT. But what comes will be new architectures supporting the intrinsic relationship between the applications/IoT devices and the network. Our partnership with innovate5G, further enables Cigniti’s Digital Assurance services to best support our clients’ 5G initiatives with speed, reliability and predictability.”

Srikanth Chakkilam

Chris Stark “Our in5Genius cloud platform allows enterprises to leverage the vast capabilities of the 5G bandwidth. Through this partnership with Cigniti we are now able to offer best in class enterprise grade quality engineering services to expedite the development and mainstream roll-out of the 5G centric digital experience.”

About Cigniti: Cigniti Technologies Limited global leader in providing IP-led, strategic digital assurance, software quality engineering, testing and consulting services, is headquartered in Hyderabad, India, with offices in USA, U.K., UAE, Australia, Czech Republic and Singapore. Leading global enterprises including Fortune 500 & Global 2000, trust us to accelerate their digital transformation, continuously expand their digital horizons and assure their digital next. We bring the power of AI into Agile and DevOps and offer digital services encompassing intelligent automation, big data analytics, cloud migration assurance, 5G Assurance, Customer experience assurance and much more. Our IP, next-gen quality engineering platform, BlueSwan helps assure digital next by predicting and preventing unanticipated application failures, thereby assisting our clients in accelerating their adoption of digital.

About innovate5G: innovate5G - in5Genius - platform meant for application developers to test their 5G applications in a secure and pressure-free environment, at their own pace. Whether it’s an idea for a gaming, industrial, or enterprise application, innovate5G is eliminating barriers for developers to test out their ideas - such as having to partner with a carrier or large OEM. We are working with universities and innovation zones to build 5G networks and developing a lab-sharing model in a similar vein to Airbnb. We design and build bespoke private CBRS LTE and 5G networks for enterprises.

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IBM Cloud Pak for Data is an integrated data and AI platform that explains, validates, monitors and mitigates bias in AI models as part of the end-to-end AI lifecycle. IBM commissioned Forrester Consulting to examine the projected return on investment for enterprises that deploy explainable AI and model monitoring through the pl

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