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In: Artificial Intelligence

Contextual advertising, a strategy that matches ads with relevant digital content, has transformed digital marketing by delivering personalized experiences to viewers. However, implementing this approach for streaming video-on-demand (VOD) content poses significant challenges, particularly in ad placement and relevance. Traditional methods rely heavily on manual content analysis. For example, aContinue Reading

In: Artificial Intelligence

Since Amazon Q Business became generally available in 2024, customers have used this fully managed, generative AI-powered assistant to enhance their productivity and efficiency. The assistant enables users to answer questions, generate summaries, create content, and complete tasks using enterprise data. Today’s workforce faces significant application overload. According to Gartner,Continue Reading

In: Artificial Intelligence

Gartner predicts that “by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023.” The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. Enterprises generate massive volumes of unstructured data,Continue Reading

In: Artificial Intelligence

This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and AI-driven experience. This comprehensive framework streamlinesContinue Reading

In: Artificial Intelligence

Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation. As data demands continue to surge, the emergence of generative AI models presents an innovative solution. These large language models (LLMs), trained on expansive data corpora, possess the remarkable capabilityContinue Reading

In: Artificial Intelligence

There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary. AmazonContinue Reading

In: Artificial Intelligence

This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.  The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. Making credit decisions usingContinue Reading

In: Artificial Intelligence

With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in theContinue Reading