Tag: ai/ml

Today’s business intelligence (BI) offerings are rapidly transforming into powerful, generative AI-driven data analysis tools that can be accessed by all members of your organization. Today, as part of that transformation, we are bringing two key features of Gemini in Looker to preview: automated Google Slides generation, and an AI-powered formula assistant that can speed …

Read more “AI-powered slide generation and formula assistant come to Gemini in Looker”

Dear Chatbot Enthusiasts, Ready for some exciting news? We’ve got Google’s Gemini Team in our sights for the upcoming Chatbot Conference in San Francisco (Sept 24–26), and we need YOUR help to make it great! 🎉 To ensure we select the topics that matter most to you, we’d love your input. We’ve prepared a quick poll to gather …

Read more “If You Could Ask Googles AI Team Anything, What Would It Be?”

Generative artificial intelligence (AI) not only empowers innovation through ideation, content creation, and enhanced customer service, but also streamlines operations and boosts productivity across various domains. To effectively harness this transformative technology, Amazon Bedrock offers a fully managed service that integrates high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, …

Read more “Intelligent document processing using Amazon Bedrock and Anthropic Claude”

As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard customer privacy within expanding digital markets. Deloitte is a strategic global …

Read more “How Deloitte Italy built a digital payments fraud detection solution using quantum machine learning and Amazon Braket”

In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the vast amounts of data and complex algorithms involved. Without a structured framework, the process can become prohibitively time-consuming, costly, and complex. Enterprises struggle with managing …

Read more “Accelerate your generative AI distributed training workloads with the NVIDIA NeMo Framework on Amazon EKS”

Editor’s note: In this guest post, we will hear from Gramercy Tech about their experience working with Google Cloud as both a customer and vendor. Organizing engaging events can be quite challenging, but by utilizing Google’s Imagen throughout the conference, the Gramercy team was able to demonstrate the possibilities of generative AI for creating real-time …

Read more “How Gramercy Tech used Imagen to deliver an innovative conference experience”