Foundational for identity verification and rights access, government-issued IDs face breaches and inefficiency within centralized systems. Enter Decentralized Identity solutions, redistributing verification control to individuals. But is it applicable for equally for all government services?

What’s inside

1. Decentralized vs Centralized ID for governments
2. Identity credential issuing process today
3. Suitability of government functions to Decentralized Identity
4. Long term outcomes

Decentralized vs Centralized ID for governments

Decentralization of government-issued IDs is a complex issue with potential benefits and drawbacks. Whether government issued Ids should be decentralized or not depends on various factors that we delineate. Any decision on decentralization should be carefully considered and implemented with caution to ensure that they do not breach security or undermine the government’s programs. Download Complete Research

Identity credential issuing process today

We detail out the current Issuing process typically followed by governments today and identify several challenges and issues that face it today. This includes Ids like the Passport, Licenses, Voter cards and Social security cards. All of them are critical and everyone can do with an easier and more fool proof process for the same.

Suitability of government functions to decentralization

We evaluate the different government functions such as Education, healthcare, elections, security, taxation, etc and analyze which of these would be most suitable to be decentralized. We map them on a matrix of Complexity & Coordination and the Need for scrutiny to give us an easy framework for assessment. Download Complete Research

Long term outcomes

We end by considering the long term onjectives and intended outcomes of such an exercise.We feel that Decentralized Identity solutions can rebuild trust in public institutions by empowering residents with data control.

Credits
Author@lab45: Sujay Shivram, Abhigyan Malik

GenAI is transforming various domains including software engineering. This technology enables high productivity, rapid development, and abundant innovation promising overall productivity gains of 26-30%. Embrace the future and discover the extraordinary potential of GenAI.

What's inside

1. An overview of GenAI’s impact on the software engineering industry
2. A detailed prognosis of GenAI’s impact on the software development lifecycle
3. Tools and useful technologies for GenAI-assisted software engineering
4. Future trends in GenAI for Software engineering

Key insights: How GenAI can impact software engineering

GenAI is expected to boost productivity in software engineering by 28% and is projected to improve task completion speed by 54% by 2025. It can also increase application development and maintenance revenue by 25%-30%, leading to a 5%-6% improvement in overall profitability. The GenAI market is expected to grow at a CAGR of 42% over the next decade, and the technology can help address the expected shortfall of 4 million developers by 2025. However, detailed study and implementation strategies are needed to consider factors such as initial installation effort, resource training, and technology integration.

GenAI’s impact on the software development lifecycle

GenAI can significantly impact the various phases of software development by generating code, improving code quality, simplifying code structures, and automating tasks such as unit testing and bug detection. It can reduce the duration of task execution across various software development stages by 20%-45%, resulting in substantial cost savings. While software engineers may be the primary beneficiaries of GenAI, other teams, such as architects, consultants, and sales teams, can also derive substantial advantages. However, implementing GenAI requires a comprehensive strategy that includes tool selection, investment, deployment, and developer training. The implementation strategy should target the highest-leverage phases of software development, and enterprises should invest in resources and training necessary for developers to leverage the technology effectively. Download Complete Research

Tools and useful technologies for GenAI-assisted software engineering

Integration of GenAI with DevOps principles can increase productivity by automating tasks, generating content, and providing intelligent insights. Adopting GenAI in the DevOps software development environment can further boost productivity through script generation, automated monitoring and alert generation, and synthetic data for pipeline load testing. GenAI can complement and enhance Low Code No Code (LCNC) capabilities by integrating visual developer interfaces, quickening development cycles, and creating text and multimedia assets. Key platforms for code generation using GenAI include Copilot by GitHub, CodeWhisperer by AWS, ChatGPT by OpenAI, Vertex AI by Google Cloud, and TabNine by Codota Dot Com Ltd.

Future trends in GenAI for software engineering

As AI continues to evolve, GenAI will become an increasingly essential aspect of the software development process. GenAI provides opportunities for innovation and creativity while also presenting new challenges. Customized benchmarking contextualized to the customer environment is crucial in refining and optimizing GenAI tools, fostering greater productivity and efficiency in software development. Enterprises must formulate a comprehensive GenAI strategy and incorporate GenAI tools in the implementation and testing phases of the software development lifecycle to maximize development cost and effort savings and improve quality. Collaboration with GenAI tools will create new roles, such as Prompt Engineers, and allow developers to focus on strategic thinking and creative problem-solving. GenAI is also an excellent learning and training tool, automating the generation of educational content and assisting in information retrieval and organization. Download Complete Research

Credits
Lead Authors@lab45: Hussain S. Nayak, Anju James
Contributing Authors@lab45: Vinay Ramananda, Dattaram B A

Decentralized Identity systems solve for inefficiencies and security breaches, making them extremely useful for enterprises. We explore in detail important industry use cases where these solutions can be used and means to implement them.

What's inside

1. Transforming KYC using DID
2. Perishable supply chain using DID
3. Enabling electronic health records using DID

Transforming KYC using DID

The KYC Process in Banks and Financial institutions is mandated by the government and can be quite painful both for the bank and the customers. We examine how DID can help not only simplify the process but also ensure high trust and make the process fraud proof, by eliminating intermediaries and returning to trusted direct relationships. Download Complete Research

Perishable supply chain using DID

In case of Food supply the application of IoT can provide real-time data and insights. The current IoT supply chain and the food Supply chain face innumerable challenges.  Using DID and verifiable credentials in food/perishable supply chain can provide a tamper-proof and auditable record of a product’s journey, from its origin to its destination. Solution will have lasting impact not only for controlling quality and expense for organization but will also have impact on public nutrition, health, and sustainability. We explore how!

Enable electronic health records using DID

While managing Electronic Health Records, healthcare organizations face two main challenges: Privacy & Security and Interoperability due to multiple systems in play. By providing patients with greater control over their health information, Decentralized Identity solutions can enhance trust and confidence in the healthcare system, leading to better health outcomes. We explore the details with an example. Download Complete Research

Credits
Author@lab45: Sujay Shivram, Abhigyan Malik