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Editor’s note: This is the first post in a series that explores a range of topics about upcoming AI regulation, including an overview of the the EU AI Act and Palantir solutions that foster and support regulatory compliance when using AI. This blog post provides an overview of the EU AI Act, with a special …
Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and extract insights directly from the content in digital as well as scanned PDF documents in your enterprise data sources without needing to extract the text first. Customers across industries such as finance, insurance, healthcare life sciences, and more need …
Read more “Improve productivity when processing scanned PDFs using Amazon Q Business”
From paving the way for economic revival and confronting climate change, and from empowering underrepresented entrepreneurs to rethinking healthcare, startups across the Middle East, North Africa (MENA), and Turkey are unlocking opportunities that could profoundly enhance the lives of billions and fuel economic development. AI has emerged as the sharpest tool for startups spearheading solutions …
Read more “Announcing AI First Accelerator for startups in the Middle East and Turkey”
Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. These chatbots can be efficiently utilized for handling generic inquiries, freeing up …
How can you make sure that you are getting the desired results from your large language models (LLMs)? How to pick the model that works best for your use case? Evaluating the output of an LLM is one of the most difficult challenges in working with Generative AI. While these models excel across a wide …
Read more “How to evaluate the impact of LLMs on business outcomes”
How Palantir AIP Enables the Unified Namespace Amid geopolitical competition and the rise of Industry AI, the adoption of a Unified Namespace (UNS) is a strategic necessity. American industries — from aerospace to biotechnology — can secure a critical advantage with UNS, enabling manufacturers to leverage the full capabilities of AI and machine learning. This shift from reactive to …
This is a guest post by Arash Sadrieh, Tahir Azim, and Tengfui Xue from NinjaTech AI. NinjaTech AI’s mission is to make everyone more productive by taking care of time-consuming complex tasks with fast and affordable artificial intelligence (AI) agents. We recently launched MyNinja.ai, one of the world’s first multi-agent personal AI assistants, to drive …
Read more “The future of productivity agents with NinjaTech AI and AWS Trainium”
It’s been amazing to see the impressive things customers are doing with generative AI and agents. Less than three months ago, we shared 101 real-world gen AI use cases from the world’s leading organizations. Since then, to enable businesses to roll out compelling AI agents faster, Google DeepMind has continued to pioneer model advances, in …
Read more “Making Vertex AI the most enterprise-ready generative AI platform”
SMS remains a staple in commercial interactions, but its limitations are becoming increasingly evident, particularly for brands seeking deeper buyer engagement. This has paved the way for the meteoric rise of Google RCS Business Messaging (RBM) as a powerful and dynamic alternative. In fact, the protocol has witnessed an astounding 684% surge in usage within …
Read more “Winning the Client Communication Game with RCS in Retail”
Although Large Language Models (LLMs) have shown promise for human-like conversations, they are primarily pre-trained on text data. Incorporating audio or video improves performance, but collecting large-scale multimodal data and pre-training multimodal LLMs is challenging. To this end, we propose a Fusion Low Rank Adaptation (FLoRA) technique that efficiently adapts a pre-trained unimodal LLM to …