Generative AI for product design: From ideation to launch, faster & smarter
Generative AI is transforming the landscape of product development by enabling designers across various industries, such as furniture, fashion, and automotive, to push bo...
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AI-powered digital twins predict weather disasters
As climate change worsens, severe weather events are becoming increasingly common. Consequently, it’s never been more important to predict and respond effectively to th...
Big data analytics in government: How the public sector leverages data insights
Big data can have a huge impact on governments local, national, and global. Governments must make sense of the enormous amount of data they receive daily and try to make ...
Why big data analytics is critical for success
Is your business ready to thrive in 2024? Big data analytics is key to faster decision-making, uncovering new opportunities, and boosting efficiency—just like Amazon an...
Why AI in QA isn’t quite ready yet
AI isn’t just the next big thing; it’s here now, and whoever isn’t using it is missing out.Our clients often ask about AI tools in our development process, but find...
Cloud infrastructure and the hype, reality and hope of generative AI
In Gartner’s Hype Cycle for Artificial Intelligence 2024, we learned AI has made it over the “Peak of Inflated Expectations” and is poised to slip into the “Troug...
Sports Lessons: Leveraging Organizational Improv to “Do More with Less”
In my blog “The Economics of “Do More With Less”: Blending AI with Organizational Discipline,” I discussed the challenges organizations face when trying t...
5 tips for fine-tuning LLMs
Master LLM fine-tuning with expert tips on data quality, model architecture, and bias mitigation. Boost performance and efficiency in AI development....
4 strategies for AI-driven vulnerability management
Harnessing artificial intelligence to manage vulnerabilities opens the door to efficient threat detection and proactive risk management. Organizations of all sizes ...
Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation, or RAG, is a game-changer for AI applications, allowing large language models to pull real-time, factual information from massive datasets...