Evans Data Corp. Analyst Insight Reports
Authored by our industry experts, the Evans Data Analyst Insight Reports provide timely, unique knowledge and insights about trending tech topics. Each paper analyzes a new area of development that is impacting our world and brings deep industry knowledge based on a solid foundation of fresh developer survey data and years of experience studying the tech landscape.
- Low Code vs Gen AI: Will Low-Code Tools Become Obsolete by Generative AI?
- Quantum Computers: The Promised Technological Leap
- Fake News or Deepfake News: Synthetic Content and Elections
Low Code vs Gen AI: Will Low-Code Tools Become Obsolete by Generative AI?
Abstract
Low Code tools and Generative AI are both seeing increased usage for developing software. These technologies, though addressing the same issue of simplifying software development and making it more accessible, have distinct competencies, functionalities, and uses. While low-code environments lower the barrier to entry for citizen coders, generative AI produces code without the need for any coding knowledge, yet raises concerns about the opacity of its processes. However, this does not necessarily mean that low code and generative AI tools are in a collision course or in competition with one another; integrating them together will instead lead to tools that are accessible, flexible, and capable of increasingly complex code building. This amalgamation of functionality may transform the role of developers and democratize software development, reinventing what it means to be a developer.
This analyst insights report examines numerous key findings from across our syndicated survey report series together with secondary research on the trends in software development, detailing the trajectory of both low code and generative artificial intelligence and their interlinked potential.
Quantum Computers: The Promised Technological Leap
Abstract
Our recent data shows growing developer interest in quantum computing due to increased resources, educational materials, and user-friendly tools. Quantum computers could revolutionize generative AI in the next few years by lowering costs and enabling new applications, although challenges like resource allocation must still be addressed. While quantum computers promise a technological leap, their extreme vulnerability to decoherence and potential to break current encryption necessitate advancements in materials science and new error correction techniques.
Fake News or Deepfake News: Synthetic Content and Elections
Abstract
Deepfake technology can be used for political gain. This was a concern in the 2020 US Presidential Election cycle, and technologies have only advanced since then. Generative AI, video creation tools, and a sense that we know better all contribute to the potential problem of manipulating voters with deepfakes. If deepfakes are successful, they can discredit photo evidence, foster complacency, impact reputations, and sow seeds of doubt. Fortunately, policy and technology are combatting deepfakes’ influence, and AI – the same discipline that makes deepfakes more convincing – is also used to defend against misinformation.
This analyst insights report marries research across three of our syndicated survey report series with secondary research about the tech industry and society to highlight the challenges and influences deepfake technology can have on politics and society.