Essential AI News from 11/11-11/15
This week's essential AI news is about how different players in the AI ecosystem are working to improve AI model capabilities and relevance. model providers, vendors, and enterprises are all working towards improving model accuracy. Anthrophic adds enhanced prompt engineering within its developer console, Microsoft shares industry-specific models and major companies are spending increasing amounts on AI.
- Improve your prompts in the developer console? Anthropic introduces a new feature to enhance prompt engineering directly within its developer console, focusing on chain-of-thought reasoning and reducing hallucinations. Analysts emphasized the importance of this type of tool for AI leaders and developers in building more effective and reliable AI applications.
- Microsoft introduces new adapted AI models for industry? Microsoft has rolled out new industry-specific AI models that adapt to unique requirements across fields like agriculture, finance, and manufacturing. Analysts view this as a critical advancement, as these smaller, fine-tuned models make AI adoption easier and more accessible for traditional sectors by reducing reliance on large data infrastructures and enhancing model relevance.
- CIOs to spend ambitiously on AI in 2025 — and beyond? This article explores how leading CIOs are planning substantial increases in AI spending over the coming years, with particular emphasis on doubling budgets to support large-scale AI initiatives. The analysts see this as a critical insight for AI leaders, noting that enterprises are pushing forward ambitiously despite challenges with ROI visibility, making it a key signal of industry momentum.
Great dad | Inspired Risk Management and Security | Cybersecurity | AI Governance & Security | Data Science & Analytics My posts and comments are my personal views and perspectives but not those of my employer
4 个月In article #3, I would dare to say that I do not trust the CIOs' claims that they would invest more heavily in AI because, first and foremost, they do not own the money or the financial planning of the companies. Maybe they would invest most of their assigned budget in AI without a very clear idea of the ROI. It could be a fair assumption their CEOs will push the AI agenda, so add $$$ to their budget for AI. I do not get those companies that assume AI becomes an IT-driven strategy. This is the biggest mistake or wrong assumption boards and executives make when these new technologies show in the scene. They end up wasting money and resources new infra, tools, models, and more vendors to stand up AI capabilities without a clear business strategy of what AI solutions will bring revenue or efficiency to their strategy.
Great dad | Inspired Risk Management and Security | Cybersecurity | AI Governance & Security | Data Science & Analytics My posts and comments are my personal views and perspectives but not those of my employer
4 个月IMO, the idea of adapted (specialized) AI models would be the next evolution and game changer for AI leading companies. The frontier models are nice for showcase the potential of AI/Gen AI, but the real deal is companies content or industry specific models which are already pre-trained and ready to be plug in into their internal data to fine-tune or RAG to truly get valuable insights and actions to build the AI agents/applications to maximize the AI ROI. This models will reduce the cost/time/resources of training models internally and will enable organizations to address their unique needs with less costs, accurately and effectively.