Artificial Intelligence News for the Week of June 28; Updates from AWS, OpenAI, Orby AI & More

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of June 28, 2024.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

Artificial Intelligence News for the Week of June 28, 2024

AWS Launches $50 Million GenAI Initiative for the Public Sector

Across the public sector, leaders are seeking to leverage generative AI to become more efficient and agile. However, public sector organizations face several challenges such as optimizing resources, adapting to changing needs, improving patient care, personalizing the education experience, and strengthening security.

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Cube Releases New Semantic Catalog AI Assistant

Semantic Catalog provides a comprehensive, unified view of connected data assets that is essentially self-documenting and always up-to-date, based on the data models you define. Users can effortlessly search through data modeled in Cube Cloud, explore downstream connected BI content, and examine upstream tables.

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DeepKeep Unveils New GenAI Risk Assessment

Assessing and mitigating AI model and application vulnerabilities ensures implementations are compliant, fair and ethical. DeepKeep‘s Risk Assessment module offers a comprehensive ecosystem approach by considering risks associated with model deployment, and identifying application weak spots.

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Freshworks Finds AI Delivering ‘Strong Productivity Gains’

Assessing and mitigating AI model and application vulnerabilities ensures implementations are compliant, fair and ethical. DeepKeep‘s Risk Assessment module offers a comprehensive ecosystem approach by considering risks associated with model deployment, and identifying application weak spots.

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illumex Secures $13 Million in Funding for Enabling GenAI & Structured Data

illumex empowers organizations to overcome data challenges that hinder generative AI (GenAI) initiatives by automating the creation of a semantic layer that unifies data silos and adds business context, as well as generating a consistent vocabulary of domain-specific terminology.

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MicroStrategy Achieves ‘Industry-First’ Enabling Enterprises to Sow AI Insights Direct

MicroStrategy ONE’s HyperIntelligence feature, which is now powered by Auto (MicroStrategy’s generative AI solution), pairs AI and BI capabilities to empower every frontline worker, whether they work in a browser or on a mobile device. This no-code solution doesn’t require system integration, so it can automatically be overlayed onto any application so users can easily access trusted, relevant information from within their daily workflow.

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Orby AI Nabs $30 Million Venture Capital Funding

Orby AI has developed the first self-service, end-to-end generative AI platform to meet these modern automation goals. By removing complexity and creating a unique workflow discovery, Orby’s generative AI platform seamlessly builds automations for virtually any business workflow.

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OpenAI and Time Sign Content Deal

While OpenAI will use Time’s content to boost and train its products, the New York City-based publication will get access to the AI pioneer’s technology to develop new products, the companies said. While some media companies, like the New York Times and The Intercept, have previously sued OpenAI for using their journalism, these content partnerships are essential for training AI models.

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New Relic Integrates Observability Tool with NVIDIA NIM

New Relic extends its in-depth monitoring to NVIDIA NIM, supporting a wide range of AI models including–Databricks DBRX, Google’s Gemma, Meta’s Llama 3, Microsoft’s Phi-3, Mistral Large and Mixtral 8x22B, and Snowflake’s Arctic. This helps organizations deploy AI applications built with NVIDIA NIM confidently, accelerate time-to-market, and improve ROI.

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Sisense Unveils GenAI-Powered Analytics Chatbot

The new Analytics Chatbot interface answers natural language questions, suggests queries for users to start exploring analytics, provides narrative explanations for greater context through data visualizations, and suggests actions consistent with these insights. Creators can easily embed the Analytics Chatbot or the new narration capabilities within Compose SDK for Fusion without necessitating a chat-like, close-ended UI in a dashboard.

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SymphonyAI Drops New Tenor GenAI Modeling Platform

Tenor platform will combine new advanced AI capabilities, powered by SymphonyAI’s award-winning Eureka Gen AI platform, with decision science, data management, and data analytics technology from its acquisition of 1010data that leading financial institutions have trusted to simplify trading, research, valuation, and risk modeling workflows for more than 20 years.

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Expert Insights Section

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

New Insight Jam Podcast: the Alex Gallego Interview (CEO of Redpanda Data)

Alex shares his remarkable journey from Colombia to Silicon Valley and discusses the future of AI-driven applications. They explore the balance between efficiency and connection in remote work, including strategies for maintaining creativity in a virtual environment.

Watch on YouTube

SR Thought Leader: Nicola Askham Reveals the ‘Secret Sauce’ for GenAI Success

We often marvel at the sheer scale of Large Language Models (LLMs). These behemoths owe their ‘largeness’ to the vast volumes of data they are trained on, collected from a myriad of sources. The lifeblood of these models is the quality of this big data. It’s through this data that the models learn the intricate dance of language patterns, enabling them to generate coherent and contextually accurate responses.

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For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.