Mphasis accelerates the world-leading Quantum Computing Ecosystem in partnership with the University of Calgary and the Government of Alberta. The Quantum Lab is set to accelerate the development of quantum skills in the city to enable job creation. CALGARY, AB, June 9, 2022 – Mphasis, (BSE: 526299; NSE: MPHASIS), an Information Technology (IT) solutions provider specializing in cloud and cognitive services, today joined the Government of Alberta and the University of Calgary to announce the launch of the world-leading Quantum City – Canada. Quantum city will further establish Alberta as a leading technology hub and will accelerate the development of the quantum ecosystem in Calgary. The partnership aims to utilize the synergy between academia, industry, and government to put the process of ideation to market at the forefront.

Now that we have an understanding of Baye's Rule, let's try to use it to analyze linear regression models. Where i is the dimensionality of the data X. Yj is the corresponding output for Xj. If i 3, Yj w1* x1j w2* x2j w3* x3j Where j is ranging from 1 to N where N is the number of data points we have. While the process of Bayesian modelling will be taken up in next part, let us consider the below model as true, for now.

As nations across the world slowly reopen their economies after extended lockdowns, businesses will need to hit the ground running to operate in a new abnormal. One of the ways companies can count on meeting the acceleration with safety is by adopting smart tech, especially tools and platforms enabled by artificial intelligence. However, because these tools and platforms are built on algorithms, there is concern that the use of AI technology might unconsciously result in and perpetuate biases. When it comes to this area, a business's commitment to ethical operation is a must in a more transparent world where consumers are keenly aware of a company's track record and business conduct. What can businesses do to effectively tackle this challenge? How can organizations safely deploy platforms enabled with AI to do more with less while ensuring that they are always doing the right thing?

Mphasis, an Information Technology solutions provider specializing in cloud and cognitive services, announced that it has been recognized as a Leader in'Migration and Container Solutions' and "Rising Star" in dual categories of Data Analytics and Machine Learning and Consulting Service Providers, for US and Germany regions by Information Service Group (ISG), a leading global technology research and advisory firm. According to ISG's AWS Ecosystems Partners 2020 Report, Mphasis was recognised for its Intelligent-Automated Migration approach with its specialized migrations suite – CMAS and its Stelligent brand, Intelligent Migration Factory. Mphasis was ranked high across all ISG's container and migration services assessment criteria. The approach of providing integrated and enhanced technology solutions resulted in Mphasis being acknowledged for the AWS Competencies in DevOps, financial services and security and validations. "We are honoured to be recognised by ISG and are proud that our efforts and services have been recognised across US and Germany, and this recognition will act as a stimulus for us to continue innovating and strengthening our product portfolio and technology solutions for our existing as well as the potential clients. Mphasis serves many marquee customers across the globe and our focus is to build an ecosystem to empower our clients to harness their potential and maximize their capabilities in a digitally advanced environment," said Srikumar Ramanathan, Senior Vice President, Head Portfolio Group, Mphasis.

Mphasis, a leading IT services and solutions provider, today announced the launch of DigiOps driven by InfraGenie, an intelligent automation platform (IAP), powered by Arago, a pioneer in artificial intelligence (AI) and leader in intelligent IT automation. DigiOps delivers solutions by reducing manual effort across IT functions. InfraGenie intelligently predicts incidents before they arise so that companies have a reliable and consistent way of solving errors in their industry-specific IT operations. This smart infrastructure solution unites the proficiencies of advanced analytics ("prescriptive") and artificial intelligence based automation to offer resolutions for all types of infrastructure related events. Through InfraGenie, Mphasis will bring both automation and analytics together to reliably and consistently identify, predict and resolve the infrastructure problems of today's complex hybrid IT environment.

Mphasis,a leading IT services and solutions provider, today launched Digital Acceleration Program – Sparks;. Sparks accelerates digital transformation for organizations without them having to invest in future proof technology or research labs by constantly bringing in industry disruptors revolutionizing the global banking and insurance sectors. These partnerships are a catalyst in verticalyzing cutting-edge digital technology to help Mphasis; customers pragmatically deliver end-to-end solutions. Sparks currently introduces two vital elements Customer Experience; and Data, Information Intelligence; aspects of digital. Sparks evolution roadmap consists of bringing in three other elements: Commerce, Operations, and Architecture Technology Transformation.

Mphasis, a leading IT services and solutions provider, today launched'Digital Acceleration Program - Sparks'. Sparks accelerates digital transformation for organizations without them having to invest in future proof technology or research labs by constantly bringing in industry disruptors revolutionizing the global banking and insurance sectors. These partnerships are a catalyst in verticalyzing cutting-edge digital technology to help Mphasis' customers pragmatically deliver end-to-end solutions. Sparks currently introduces two vital elements'Customer Experience' and'Data, Information & Intelligence' aspects of digital. Sparks evolution roadmap consists of bringing in three other elements: Commerce, Operations, and Architecture & Technology Transformation.