Artificial Intelligence
Explore practical insights, research, and benchmarks on artificial intelligence, including generative AI, large language models, RAG, governance frameworks, MLOps practices, and AI hardware. Gain an understanding of key tools, implementation strategies, and enterprise use cases shaping the AI landscape.
Explore Artificial Intelligence
Responsible AI: 4 Principles & Best Practices
65% of leaders feel unprepared to manage AI-related risks effectively. 7 Developing and scaling AI applications with responsibility, trustworthiness, and ethical practices in mind is essential to build AI that works for everyone. Explore four principles for responsible AI (RAI) design and recommend best practices to achieve them: AI tools are increasingly being used in…
7 Useful AI Transformation Strategies
Before choosing how to transform AI, leaders need to know where to start. We analyzed the Anthropic Economic Index (March 2026 release)34, mapping over 1 million real-world Claude interactions across 3,260 occupational tasks to the standard APQC Process Classification Framework (PCF).35 Check out high, mid, and granular-level processes by real-world AI exposure and human verification…
State of OCR technology: Is it dead or a solved problem?
Optical Character Recognition (OCR) is one of the earliest areas of artificial intelligence research. Today, OCR technology is relatively mature and no longer called AI, which is a good example of Pulitzer Prize winner Douglas Hofstadter’s quote: AI is whatever hasn’t been done yet.43 In our OCR benchmark, DeltOCR, a large language model, correctly reads…
Banking Chatbots: 7 Tools & Use Cases
Industries that prioritize customer service face rising costs as demand for excellent service grows. Banking chatbots let customers complete transactions by voice or text, reducing operational costs and improving customer satisfaction. We compiled the top 7 chatbots with financial literacy, including their features, comparisons, and best practices for deployment to address cost and service concerns.…
Top 10 Mortgage Chatbots: Use Cases & Examples
Banks that keep customers happy grow deposits 85% faster than competitors. Loan processing directly affects client satisfaction. 56. Chatbots can handle mortgage-related tasks around the clock, simulating what mortgage brokers typically do. We examine 10 vendors, their practical applications, and United Wholesale Mortgage’s implementation. *The table is sorted by rating score. Mortgage chatbots handle loan-related…
50+ ChatGPT Use Cases with Real Life Examples
ChatGPT reached approximately 1 billion weekly active users in early 2026 roughly 10% of the world’s population.63 OpenAI surpassed $20 billion in annual revenue for 2025, confirmed by CFO Sarah Friar.64 The Anthropic Economic Index distinguishes two modes of use: augmentation, in which a human interacts with AI, and automation, in which AI completes tasks…
ChatGPT for Customer Service: Top 10 Use Cases
ChatGPT has moved from novelty to infrastructure in customer service. Companies are using it to cut response times, handle volume their teams can’t absorb, and reduce the cost of routine interactions. But results vary sharply depending on how it’s implemented. OpenAI launched GPT-5.6, a materially more capable model that is better at instruction-following, reasoning across…
The Future of Large Language Models
See the future of large language models by delving into promising approaches, such as self-training, fact-checking, and sparse expertise that could address LLM limitations. Success rate comparison of LLM’s Claude Sonnet 4.6 led the benchmark with an overall score of 0.748, with base and thinking variants tied to three decimal places. Claude Opus 4.8 (0.702),…
17 Generative AI Healthcare Use Cases
Healthcare systems are facing increased data volumes, staff shortages, and rising expectations for personalized care. Generative AI is emerging as a key solution by synthesizing unstructured medical data, such as clinical notes, imaging reports, and patient histories, into insights for clinicians and administrators. Explore how generative AI is applied across healthcare delivery, administration, and population…
25 Healthcare AI Use Cases with Examples
A recent study shows that hybrid teams of human clinicians and AI systems make more accurate medical diagnoses, largely because they tend to make different and complementary errors that help correct one another. These findings indicate strong potential of AI to enhance patient safety and promote more equitable healthcare.124 How do healthcare AI systems perform?…