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Responsible AI at Google Research: User Experience Team

Posted by Ayça Çakmakli, UX Lead, Google Research, Responsible AI and Human Centered Technology Team Google’s Responsible AI User Experience (Responsible AI UX) team is a product-minded team embedded within Google Research. This unique positioning requires us to apply responsible AI development practices to our user-centered user experience (UX) design process. In this post, we …

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Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, …

A brief history of cryptography: Sending secret messages throughout time

Derived from the Greek words for “hidden writing,” cryptography is the science of obscuring transmitted information so that only the intended recipient can interpret it. Since the days of antiquity, the practice of sending secret messages has been common across almost all major civilizations. In modern times, cryptography has become a critical lynchpin of cybersecurity. …

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Modernizing data science lifecycle management with AWS and Wipro

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. …

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Connecting AI to Decisions with the Palantir Ontology

by Akshay Krishnaswamy, Chief Architect, Palantir The Palantir Ontology Palantir’s software powers real-time, AI-driven decision-making in many of the most critical commercial and government contexts around the world. From public health to battery production, our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational results. While many factors …

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing …

Simplify speech analytics with BigQuery, powered by Vertex AI

Businesses generate massive amounts of speech data every day, from customer calls to product demos to sales pitches. This data can transform your business by improving customer satisfaction, helping you prioritize product improvements and streamline business processes. While AI models have improved in the past few months, connecting speech data to these models in a …

IBM’s new Watson Large Speech Model brings generative AI to the phone 

Most everyone has heard of large language models, or LLMs, since generative AI has entered our daily lexicon through its amazing text and image generating capabilities, and its promise as a revolution in how enterprises handle core business functions. Now, more than ever, the thought of talking to AI through a chat interface or have it perform …