Business Context
IT Operations leaders can increase the agility of their infrastructure using DevOps tools and techniques such as continuous integration, continuous delivery and automation for operations.
DevOps offers the greatest benefits as a shared journey where both development and operations have to adopt new practices to accelerate business agility and fulfil organisational goals.
DevOps automation has already helped our clients to:
- Create deep, sustainable collaboration between Operations and Development teams
- Effect organisational change to support DevOps at scale
- Follow an incremental approach to building capability
The Ministry of Justice is creating a new platform to develop efficient and accessible digital services to deliver access to justice using appropriate channels. They engaged us to lead the automation.
The Client
The Ministry of Justice is a major government department, at the heart of the justice system that works to protect and advance the principles of justice. Their vision is to deliver a world-class justice system that works for everyone in society.
The Situation
- A traditionally structured IT organisation, with Ops Services separate from Development
- New application architecture required new ways of working for deployment to succeed and scale
- Third party Ops contractors had limited experience of continuous integration and continuous delivery
- A low level of trust between teams created a significant obstacle to productive DevOps processes
The Situation
Need to migrate from outdated systems to elevate care standards and streamline processes
With an aim to drive better experiences for its patients and physicians, TeamHealth wanted to modernise its technology infrastructure to:
- A traditionally structured IT organisation, with Ops Services separate from Development
- New application architecture required new ways of working for deployment to succeed and scale
- Third party Ops contractors had limited experience of continuous integration and continuous delivery
- A low level of trust between teams created a significant obstacle to productive DevOps processes
- A traditionally structured IT organisation, with Ops Services separate from Development
- New application architecture required new ways of working for deployment to succeed and scale
- Third party Ops contractors had limited experience of continuous integration and continuous delivery
- A low level of trust between teams created a significant obstacle to productive DevOps processes
The Solution
- Machine Learning implementation
- Detection of different types of fraudulent activity
- Business adoption within the SME community
- Correction of business model assumptions by co-locating SME and Mastek Analyst
- Identifying process pain points and resolving them
- Collaboratively developing a Continuous Delivery (CD) strategy and roadmap
- Engaging in wider communities of developers, testers, architects and security to improve collaboration
- Building coaching into everyday working
- Create a unified DevOps practice
The Solution
- Machine Learning implementation
- Detection of different types of fraudulent activity
- Business adoption within the SME community
- Correction of business model assumptions by co-locating SME and Mastek Analyst
- Identifying process pain points and resolving them
- Collaboratively developing a Continuous Delivery (CD) strategy and roadmap
- Engaging in wider communities of developers, testers, architects and security to improve collaboration
- Building coaching into everyday working
- Create a unified DevOps practice
Mastek’s Machine Learning solution has been transformational—we have increased fraud detection by 15%.
– Amy Foster
Group Head of IT Change, International Personal Finance.
"Mastek’s Machine Learning solution has been transformational—we have increased fraud detection by 15%."
– Amy Foster
Group Head of IT Change, International Personal Finance.
The Outcome
Shaping the Future for Netflix
With Volteo Edge’s intelligence coupled with IoT expertise, Netflix achieved –
- Increased delivery velocity by 30% and improve deployment frequency by 3x
- Drove stakeholder engagement
- Established technical and cultural standards
- A working culture based on trust and engagement
- Increased delivery velocity by 30% and improve deployment frequency by 3x
- Drove stakeholder engagement
- Established technical and cultural standards
- A working culture based on trust and engagement
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Insights
Insights
If only you could easily identify customers that are ripe for the picking to make the channel shift to digital.
What are some of the AI related challenges and transformational possibilities we are faced with as a company delivering digital transformation for enterprises?
Yes, it’s possible to make that magnificent leap. In the long and arduous journey to achieving end-to-end enterprise digital transformation, machine learning