Why AI hallucinates and why it matters!
Ankur Taly, scientist at GoogleWatch Now
13:30 Minutes The average reading duration of this insightful report.
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.
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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 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
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.
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
GenAI can lead to faster development with a 28% increase in task completion speed, which is expected to reach 54% by 2025. Additionally, documenting code functionality for maintainability and writing new code can be accomplished in 50% less time. Developers using GenAI-based tools for complex tasks had a 25% to 30% higher likelihood of completing the tasks. Finally, using AI tools for testing processes resulted in a 31% increase in completion, and this is estimated to rise to 57% in 2025.
14:40 Minutes The average duration of a captivating reports.
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?
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
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.
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
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.
07:03 Minutes The average duration of a captivating reports.
The aviation industry is expanding rapidly, making it imperative to adopt sustainable practices. Airports worldwide are taking significant measures to reduce their carbon footprint, conserve natural resources and encourage social responsibility but still more needs to be done.
The aviation industry contributes to global carbon emissions, with airports accounting for about 2-3% of that contribution. While this is not very significant and airports are committing to Net-zero, they impact the environment in many other ways. Airports consume significant amounts of energy and water and generate waste equivalent to small cities and contribute significantly to noise pollution leading to health disorders in the neighbourhood. Airports also promote economic growth through trade, tourism, job opportunities, support for local businesses, and regional development and hence a sustainable balance is the need of the hour.
Airports around the world are recognizing the importance of sustainability and are implementing various eco-friendly initiatives to reduce their ecological footprint. Four key areas of focus have emerged: energy, waste, water, and noise. Some leading airports have already implemented sustainable initiatives, such as using recycled materials for construction and mandating the use of reusable tableware in food and beverage establishments. Emerging ideas include hydrogen fuel cells and bio fuels (for energy), AI and IOT Sensors for optimal water usage, hydrothermal liquefaction and AI/ML to detect recyclables for waste and AR safety programs and Noise insulation techniques for Noise impact reduction. Others need to assess their current state and take steps that best suit their situation. Download Complete Research
Author@lab45: Deepika Maurya
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