The Week in AI: AWS Summit News, Cloudera Launches AI Assistants, More -- Pure AI

The Week in AI: AWS Summit News, Cloudera Launches AI Assistants, More

By Pure AI Editors
07/15/2024

This edition of our weekly roundup of AI products and services includes a new GenAI-powered conversational assistant built natively into Amazon SageMaker Studio, a new hallucination-detection tool from Patronus, two new services from Biostate.AI, three new AI-powered assistants from Cloudera, and more!

Amazon Web Services (AWS) held its annual AWS Summit in New York last week and made several AI-related product announcements. We covered the public preview of AWS App Studio here. The company made several other AI-related announcements:

A GenAI-powered conversational assistant built natively into Amazon SageMaker Studio called Amazon Q Developer. Designed to simplify and accelerate the machine learning development lifecycle, it uses natural language inputs to create a tailored execution plan for the ML development lifecycle by recommending the best tools for each task, providing step-by-step guidance, generating code to get started, and offering troubleshooting assistance when errors are encountered.

GA of Amazon Q Apps, a capability within Amazon Q Business for users to create generative artificial intelligence (generative AI)–powered apps based on the organization’s data. Users can build apps using natural language and securely publish them to the organization’s app library for everyone to use.

A preview of Knowledge Bases for Amazon Bedrock that support additional connectors, including connectors for Confluence, Salesforce, SharePoint, and web domains designed to empower Retrieval Augmented Generation (RAG) models with contextual data for more accurate and relevant responses.

Agents for Amazon Bedrock that allow GenAI apps to run multistep tasks across different systems and data sources. Agents can now retain a summary of their conversations with each user and be able to provide a smooth, adaptive experience, especially for complex, multistep tasks, such as user-facing interactions and enterprise automation solutions like booking flights or processing insurance claims, the company says.

Biostate.AI, a genomics and molecular diagnostics company that uses GenAI to test for drug toxicity and safety prediction, emerged from stealth mode and unveiled its first two service products: Total RNA sequencing and a Copilot for RNAseq data analysis. Total RNA sequencing uses its patent-pending Barcode-Integrated Reverse Transcription (BIRT) technology to affordably, scalably, and comprehensively analyze all types of RNA. OmicsWeb Copilot, a conversational AI designed to help biologists analyze and visualize data, leverages state of the art large-language models (LLMs) to understand user requests and intent to build customized software and scripts for data analysis. In addition to analyzing the user's own uploaded data, Copilot provides access to more than 1,000 unique RNAseq datasets collected by the Biostate team. Copilot is being fine-tuned on 5000 proprietary RNAseq datasets, enabling advanced analyses and anomaly detection. Biostate.AI offers the Copilot platform at no cost to academic and nonprofit users and researchers.

Data management and analytics solutions provider Cloudera announced three new AI-powered assistants designed to speed up the creation of data, analytics, and AI business applications, while expanding the scope of employees who can access these tools. The new SQL AI Assistant was developed to solve common challenges associated with writing SQL queries, such as data discovery and query optimization. The AI Chatbot in Cloudera Data Visualization offers the ability to engage directly with enterprise data to provide contextualized business insights. And the new suite of AI assistants, the Copilot for Cloudera Machine Learning, was built to solve common challenges of deploying AI and ML models.

Oracle announced that Palantir’s Foundry Platform and Artificial Intelligence Platform (AIP) are certified on Oracle Cloud Infrastructure (OCI) and generally available across all of Oracle’s distributed cloud deployment options. Oracle’s distributed cloud, AI infrastructure, and sovereign AI capabilities, combined with Palantir’s leading AI and decision acceleration platforms, help businesses and governments accelerate their AI initiatives, the companies said. Palantir’s Foundry and AIP are certified on OCI, jointly supported, and available across OCI’s distributed cloud offerings, including public cloud regions; OCI Dedicated Regions; Oracle Alloy; Oracle EU Sovereign Cloud; Oracle Government Cloud; Oracle Roving Edge, and Oracle’s air-gapped regions for defense and intelligence customers. Palantir Foundry and AIP deployed on OCI can give customers the advantage of OCI’s flexible compute infrastructure that provides efficiency, performance, and security.

Patronus AI, a startup that provides tools for enterprises to assess the reliability of their artificial intelligence models, debuted a new “hallucination detection” tool designed to help companies identify when their chatbots are going off the rails. Called Lynx, the new tool makes it possible for enterprises to detect AI hallucinations without the need for manual annotations. Lynx is the state-of-the-art in AI-based hallucination detection, the company says, enabling developers to identify inappropriate responses in real-time. Along with Lynx, the open sourced a new benchmark called HaluBench that’s sourced from real world domains to assess faithfulness in LLM responses.

Integration platform-as-a-service provider Boomi debuted its first major API product, the Boomi API Control Plane. Designed to be a centralized platform allowing companies to discover, manage and govern all the APIs they use across their organizations, it combines the software assets of two recent acquisitions: APIIDA GmbH and Cloud Software Group Inc. Boomi said its API Control Plane makes API discovery much more efficient, enabling organizations to provide developers with a consistent API experience, together with insights into their performance and usage. It can also help teams to ensure consistent policies across all platforms, thereby reducing the risk of data breaches and making compliance simpler and more efficient, the company said.

Revenue intelligence company Gong announced a series of enhancements to its AI Smart Trackers designed to help revenue teams achieve better accuracy, efficiency, and automation in sales execution. The new features include AI Methodology Playbooks and AI Scorecard Suggestions, which aim to bring operational rigor to revenue workflows. Gong's new AI capabilities address this challenge by autonomously capturing critical data and operationalizing it within revenue organizations. The enhanced AI Smart Trackers help business users build workflows, gain trustworthy insights, and understand AI-generated results without needing data scientists or writing code. The AI Methodology Playbooks allow leaders to select their sales methodology and rely on AI Smart Trackers to automatically and accurately detect adherence to the methodology in customer interactions. Additionally, the AI Scorecard Suggestions feature suggests answers to coaching scorecards, streamlining the coaching process for managers.