APT's July 12 Unlock: Why Low Dilution Still Matters in a Weak Layer-1 Tape
11.31M APT unlock lands July 12 in a soft L1 market; dashboards show 0.54% to 0.94% of supply. Aptos hit a $0.5545 low on Jun 30 amid low fees.
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AI changes cybersecurity UX. Learn why SOCs must evolve from alert-driven dashboards to behavior-driven defense at machine speed.
Read full article11.31M APT unlock lands July 12 in a soft L1 market; dashboards show 0.54% to 0.94% of supply. Aptos hit a $0.5545 low on Jun 30 amid low fees.
Check out this practical list of Python projects covering AI automation, machine learning, APIs, dashboards, data analysis, and portfolio-ready apps, with guides, demos, repositories, and datasets.
OpenAI has introduced spend controls and enhanced usage analytics for ChatGPT Enterprise to enable organizations to monitor AI adoption, track consumption across teams, and set budgets for AI usage. But, analysts cautioned, it still can’t show how those costs lead to business benefits. The new features provide administrators with centralized dashboards showing how ChatGPT is being used across an organization, enabling them to understand adoption patterns, and manage AI costs by setting budgets and tracking spending. “The Global Admin Console brings ChatGPT and Codex credit usage into one view, so admins can see a more granular breakdown of credit consumption across users, products, and models — helping them understand where spend is coming from and how it maps to actual credit usage,” OpenAI said. A shift toward AI cost governance The introduction of budgeting and usage analytics reflects a broader change in enterprise priorities, according to Biswajeet Mahapatra, principal analyst at
Claude Code's Artifacts enhance collaborative development, fostering dynamic, secure internal app sharing, potentially boosting enterprise productivity. The post Claude Code launches Artifacts for sharing interactive apps and dashboards appeared first on Crypto Briefing.
First came vector databases, then RAG. Now, the next frontier in enterprise AI is taking shape: context layers that give autonomous agents a shared understanding of the business, a vision Databricks is advancing with Genie Ontology. Currently in preview, Genie Ontology automatically extracts business context from enterprise data, dashboards, queries, pipelines, documents, and applications and organizes it into a living graph that AI agents can use to understand how an organization operates. Showcased at the company’s Data + AI Summit, Genie Ontology uses a ranking system inspired by Google’s PageRank to identify the most authoritative business definitions within an organization. Rather than treating all sources equally, it weighs factors including who created the information, how widely it is used, its links to certified datasets and assets, and how recently it was updated before determining which answer an AI agent should rely on, Databricks CEO Ali Ghodsi said during his keynote late
Deep Research now lives inside Perplexity Computer, breaking hard questions into subtasks and routing across 20+ frontier models. The post Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards appeared first on MarkTechPost.
Explore the best Python web development repositories for building APIs, full-stack web apps, dashboards, machine learning demos, internal tools, and interactive Python-based user interfaces.
Creators often have to parse through charts and dashboards to understand their performance, but with the new AI assistant, they can get quick answers to questions like "When should I post?" and "What are people saying in my comments?"