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Generative AI models can produce information on a wide range of topics, but their application brings new challenges. These include maintaining relevance, avoiding toxic content, protecting sensitive information like personally identifiable information (PII), and mitigating hallucinations. Although foundation models (FMs) on Amazon Bedrock offer built-in protections, these are often model-specific and might not fully align …

Implement model-independent safety measures with Amazon Bedrock Guardrails Read More »

Voice input in Google Lens lets you make your voice heard as you search. Here’s how to use this new feature.

Introducing new ways to ask questions on Google and Lens to help you find what you need more effortlessly using AI.

Drasi is a new data processing system that simplifies detecting critical events within complex infrastructures and taking immediate action tuned to business objectives. Developers and software architects can leverage its capabilities across event-driven scenarios, whether working on Internet of Things (IoT) integrations, enhancing security protocols, or managing sophisticated applications. The Microsoft Azure Incubations team is …

Drasi: Microsoft’s newest open-source project simplifies change detection and reaction in complex systems Read More »

These three new AI features from Google Arts & Culture let you explore art through a personalized lens.

Google launches GARA program to fund and support groundbreaking research in computing and technology, addressing global challenges.

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Adrian Boeh, Senior Data Scientist – NAM AI, from Schneider Electric. Schneider Electric is a global leader in the digital transformation of energy management and automation. The company specializes in providing integrated solutions that make energy …

How Schneider Electric uses Amazon Bedrock to identify high-potential business opportunities Read More »

Large enterprises are building strategies to harness the power of generative AI across their organizations. However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we …

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock Read More »

Personalization can improve the user experience of shopping, entertainment, and news sites by using our past behavior to recommend the products and content that best match our interests. You can also apply personalization to conversational interactions with an AI-powered assistant. For example, an AI assistant for employee onboarding could use what it knows about an …

Elevate workforce productivity through seamless personalization in Amazon Q Business Read More »

Building intelligent agents that can accurately understand and respond to user queries is a complex undertaking that requires careful planning and execution across multiple stages. Whether you are developing a customer service chatbot or a virtual assistant, there are numerous considerations to keep in mind, from defining the agent’s scope and capabilities to architecting a …

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1 Read More »