
How Generative AI is Transforming Legal Search in 2024
Generative AI and large language models are revolutionizing legal search, making research faster, smarter, and more accessible while raising new ethical and regulatory challenges.
Latest insights, tips, and updates from the Appfinder team
Generative AI and large language models are revolutionizing legal search, making research faster, smarter, and more accessible while raising new ethical and regulatory challenges.
Global tech innovation is accelerating, posing new opportunities and risks. Key players, regulation, and inclusive deployment shape the future as society learns critical lessons from the past.
Generative AI has rapidly shifted from hype to business essential, but its adoption reveals a mix of promise, pitfalls, and urgent needs for governance and workforce transformation.
Learn the best practices for requesting research content and referencing sources to create insightful, magazine-style articles with authority and accuracy.
AI startup funding has reached record highs, but major challenges, capital intensity, commoditization, and rising regulation, threaten to reshape the sector’s winners and losers.
Behind much of modern society lies legacy code, old software powering banks, utilities, and more. Modernizing these systems is urgent but fraught, with huge technical and human challenges.
Developer platforms like GitHub, Stack Overflow, and AI coding assistants are transforming software creation, making it more collaborative, accessible, and globally inclusive.
Apple and Google dominate the global smartphone landscape, but new regulations and technologies are challenging their control. Is true competition on mobile finally within reach?
As governments worldwide adopt AI to improve public services, they face challenges around bias, transparency, and trust, highlighting the need for accountable, human-centered smart governance.
SaaS marketplaces are revolutionizing how healthcare organizations evaluate, buy, and integrate medical software, addressing complexity and driving safer, more efficient digital transformation.
As smartphone innovation slows, brands turn to AI and ecosystems, but the most important changes may be less about devices and more about services and accessibility worldwide.
Generative AI has swiftly evolved from hype to reality, revealing both transformational promises and challenging limitations. Organizations face hurdles, and new opportunities, on the road to value.
AI coding assistants, combined with low-code/no-code platforms, are transforming SaaS development by automating customization, data integration, and workflow optimization.
With SaaS CAC on the rise, companies must rethink their growth strategies. Discover what’s driving costs up and how to adapt for sustainable success.
Synthetic data is transforming AI, offering scalable, privacy-friendly alternatives to real-world datasets, but introduces new risks around bias, overfitting, and trust.
Digital identity is evolving from centralized gatekeepers to user-owned models, offering privacy and control alongside new challenges for security, inclusion, and governance.
HR SaaS marketplaces are transforming how organizations discover and adopt people technology, promising agility, transparency, and flexibility. But abundance of choice brings new challenges for buyers.
Generative AI is transforming industries and unleashing new creative possibilities, but its explosive growth raises complex questions about authorship, value, and the future of work.
AI coding assistants are rapidly reshaping SaaS development, boosting productivity, code quality, and developer satisfaction while introducing new risks and redefining the developer’s role.
AI is rapidly transforming business and society, serving as a powerful intermediary in daily life while raising new questions about trust, reliability, and human oversight.