AdAnt AI
Product Hunt 2 months ago 7
AdAnt AI has launched Claude for creating viral social media ads, integrating Anthropic's Claude model to generate high-converting ad copy and creative content.
Enterprise AI
1284 summarised stories about Enterprise AI, each linking back to the original source. Browse all topics →
Friday, 31 July 2026
Announcing the Agentic Catalog Experience in Amazon Quick
AWS 2 months ago 8
Amazon announced the Agentic Catalog Experience in Amazon Quick, an AI-powered workflow that automates metadata discovery and inheritance from upstream data catalogs like AWS Glue and Databricks Unity Catalog. The feature automatically creates datasets and topics with inherited table descriptions, column definitions, and relationships rather than requiring manual recreation, reducing setup time from weeks to minutes. Data teams can now enable business users with grounded AI-powered Q&A and dashboards without manual semantic configuration or context-switching.
Would you get tattooed just to interview at a 7-days-a-week AI startup?
Ars Technica 2 months ago 53
LemonLime, a small AI startup, uses unconventional hiring gimmicks including a branded game and offering interview access to people who get the company logo tattooed. Seven people got tattooed with the LemonLime logo at a company party in recent weeks. The tattoo stunt generated significant publicity, much of it negative, as a hiring tactic.
Three insights you may have missed from theCUBE’s coverage of the AMD Advancing AI event
SiliconANGLE 2 months ago 10 ● 4 sources
AMD is positioning itself as a full-stack AI infrastructure provider rather than just a chip manufacturer, spending $60 billion on acquisitions including Xilinx to compete with Nvidia by offering enterprises flexible, integrated systems that combine compute, networking, memory and software. Enterprises are adopting hybrid strategies that balance frontier cloud models with on-premises open-weight models, with AMD's ROCm software and open ecosystem enabling workload flexibility and reducing vendor lock-in. This shift from isolated accelerators to integrated systems reshapes how organizations deploy AI at scale across cloud, hybrid and on-premises environments.
Nitro 4.0
Product Hunt 2 months ago 19
Anthropic released Nitro 4.0, a platform designed to enable AI agents to handle human translation tasks at scale. The system processes translations through a network of human translators coordinated by AI, with pricing at $0.02 per word. Organizations can now deploy AI agents that leverage human expertise for accurate multilingual content generation.
PolyAI Releases Dialog-RSN-1: An Audio-Native Dialog Model That Fuses Turn-Taking, Speech Recognition, Function Calling, And Response
MarkTechPost 2 months ago 18
PolyAI released Dialog-RSN-1, an audio-native dialog model that processes caller audio directly and integrates turn-taking, speech recognition, function calling, and response generation into a single system. The model achieves sub-300ms response times, 11% relative improvement in containment at a restaurant group, and 37% latency reduction at an insurer. Deployment is available exclusively through PolyAI's platform for enterprise customers in industries including restaurants, insurance, and hospitality, with no open-source weights or public API planned.
Icite targets knowledge graphs to give AI agents the context needed for autonomous security workflows
SiliconANGLE 2 months ago 13
Icite, a cybersecurity startup, uses enterprise knowledge graphs to provide AI agents with structured context for autonomous security operations. The company normalizes customer identity and organizational data into a graph format that agents can traverse with guardrails to reduce false positives and avoid hallucinations. This enables security teams to move from reactive incident response to proactive threat detection by automating routine investigations and letting human analysts focus on decisions requiring judgment.
Amazon and Apple just told us more about their AI plans - here are three things we learned
BBC 2 months ago 33 ● 13 sources
Amazon, Apple, Microsoft, Meta, and Google reported quarterly results revealing massive continued AI spending with limited current revenue generation from AI products themselves. Alphabet reported negative free cash flow for the first time as a public company, while Meta's Reality Labs lost nearly $9bn in the first half of 2024, yet Meta plans over $140bn in AI spending this year. Investors now demand concrete financial returns rather than promises, rewarding Microsoft and Amazon's profitability while punishing Meta's spending announcements, while consumer adoption metrics like Google's 950 million monthly Gemini users suggest underlying demand persists.