Future Trends - The concept of AI agents autonomously using cards to pay for services offers a glimpse into the future [1] - Platforms already handle hundreds of millions in transaction volume [1] Banking Industry Adaptation - Traditional banks will need to adapt their reward programs and digital offerings to stay relevant in the next five years [1]

. @bankrbot Update: UX overhaul for the interface of crypto: https://t.co/agAgFDtI7gBase app (@baseapp):New in the Base app: Level up your group chats with AI agents.Add agents like @flaunchybot and @bankrbot to your group chats to make trading and sending money easier than ever. https://t.co/79iMjIHfTp ...

What am I going to get with 3.0%. It's a bit of an overhaul here. Thank you so much.And thanks for having me on site. To to be back here as a 3.0% is a bunch of different things. The main thing is that we're evolving video from being kind of a static broadcast format, right to recorded ones, and everybody essentially watches the exact same version of that video.In the video that's conversational. And we're launching this new product called Video Agents, where you're going to be able to create your videos li ...

Agentic Payments & Blockchain - Agentic payments are built on the purple chain [1] - Focus on AI agents x Polygon payments [1] ETHGlobal New Delhi Hackathon - The hackathon featured 64 projects [1] - Involved 550 hackers [1] - Processed 15 thousand transactions [1]

Market Opportunity & Growth - The AI agent market is projected to be a trillion dollar market [1] - Industry anticipates that half of the workforce will be composed of AI agents in approximately 5 years [1] - The deployment of AI agents in enterprises is happening now and is highly relevant [4] Cost & Pricing Considerations - Token cost management is crucial to prevent expenses from spiraling out of control, encompassing LLM and compute costs, potentially including services like 11 labs or OCR [3] - Determining appropriate pricing for AI agents is essential to ensure payment aligns with the value delivered and that revenue exceeds costs [2] Value Demonstration & Payment - Showing the value delivered to end customers is critical, especially as agents often operate in the background, ensuring proper compensation for the work performed [4]

Recently, Coinbase and Ethereum have unveiled infrastructure that fits together for a bigger vision: ETH as the default rails for AI agents to transact and collaborate seamlessly.Last week's x402 Foundation and Cloudflare's NET Dollar announcements seal the full stack, connecting how AI on ETH drive web commerce.Let's connect the dots.👇~~ Analysis by @davewardonline ~~x402Back in the 1990s, web architects reserved HTTP status code 402 for "Payment Required," but traditional payment systems like credit cards ...

Summary of Okta 2025 Investor Day Company Overview - **Company**: Okta (NasdaqGS:OKTA) - **Event**: 2025 Investor Day held on September 25, 2025 Key Industry Insights - **Focus on AI and Identity Security**: The discussion emphasized the growing importance of AI agents in automating work and enhancing productivity across various industries. The core message is that identity security is crucial for managing these AI agents effectively [5][6][13] - **Emergence of Identity Security Fabric**: Okta is defining a new category called "identity security fabric," which integrates governance, privileged access management, identity security posture management, and access management into a cohesive solution [6][7][34] Core Announcements - **Innovations in Identity Security**: Okta introduced three key innovations: 1. **Identity Security Fabric**: A comprehensive solution that combines various identity security functions, addressing customer needs for a unified platform [6][7] 2. **Standardization Efforts**: Progress on open standards like IPSY and cross-app access to enhance control and visibility in technology environments [9][10][18] 3. **Auth0 Platform Enhancements**: Developers can build applications that comply with new standards, facilitating the creation of agentic systems [10][11] Market Dynamics - **Customer Demand for AI Agent Security**: There is significant interest from major companies in securing AI agents, with over 90% of surveyed companies deploying agents, yet only 10% feeling confident in their governance [22][23] - **Growth Potential**: The transition to identity security fabric is expected to drive growth, with initial customer interest focusing on foundational identity security before expanding to AI agent capabilities [14][32] Competitive Landscape - **Emerging Competition**: The entry of larger platform vendors like CrowdStrike and Palo Alto Networks into the identity space is noted, with Okta positioning itself as a specialized identity provider amidst this competition [67][69] - **Partnership Strategy**: Okta aims to collaborate with technology vendors to ensure its identity security solutions are integrated across various platforms, enhancing its relevance in the agentic AI rollout [58][65] Financial Considerations - **Monetization of New Offerings**: Okta plans to monetize its new identity security capabilities, with pricing models evolving to accommodate the unique nature of AI agents [54][55][71] - **Investment in R&D**: Okta's substantial R&D investment is highlighted as a key factor in its ability to innovate and improve its product offerings continuously [87] Customer Engagement - **Specialized Go-to-Market Strategy**: Okta has adopted a more specialized approach to its go-to-market strategy, focusing on tier-one markets and larger customers, which are expected to drive significant growth [73][75] - **Consolidation of Identity Tools**: Many customers are looking to consolidate their identity tools into a single platform, which Okta is well-positioned to provide [76][78] Conclusion - **Future Outlook**: Okta is optimistic about its growth trajectory, driven by the increasing demand for integrated identity security solutions and the ongoing evolution of AI technologies. The company is focused on bridging the gap between identity security and data governance, ensuring that its offerings remain relevant and valuable in a rapidly changing market [25][28][62]

AI Adoption & Enterprise Integration - Enterprises are eager to integrate AI agents for task automation, expecting significant gains in productivity, revenue, cost reduction, and risk mitigation, though widespread success is still in early stages [2] - Data Bricks' partnership with OpenAI aims to enable customers to leverage OpenAI models on their data within Data Bricks, facilitated by Agent Bricks [3] - AI adoption is gradually increasing, with use cases emerging in areas like product onboarding (Mastercard) and sentiment analysis for product improvement (Adidas) [4][5] - Block Square automates store and restaurant setup via natural language interaction [6] - The industry anticipates it will take several years to see complete transformation across all companies due to AI [6] AI Infrastructure & Investment - There was excessive excitement and investment in AI infrastructure in the past two years [4] - Despite impressive user numbers from companies like OpenAI (700-800 million users), there's still potential for significant growth in LLM usage [8] - Increased AI usage will necessitate more inference capacity, requiring further infrastructure buildout in various regions to minimize latency [8][9][10] - Data Bricks hosts multiple major models (OpenAI, Anthropic, Gemini), providing redundancy for customers [12][13] - More hardware deployment is needed to support the growing demand for AI model inferencing [14] Concerns & Mitigation - Concerns exist regarding the concentration of AI power around entities like OpenAI, potentially creating a single point of failure [11] - Data Bricks mitigates this risk by hosting multiple major AI models, ensuring redundancy for its customers [12][13]

AI agents are only as good as the data they see.@iotex_io is building the stack to bring verified DePIN signals onchain: identity, proofs, execution, and context.Growth is already accelerating:- ioID owners +1,697% YoY- Quicksilver requests +291% MoMFull breakdown in our Pulse Report 👇0xWeiler (@0xWeiler):1/ 📡 @iotex_io is shifting to real-world AI.In July 2025, IoTeX published a roadmap to build an AI stack that uses verified DePIN data so agents can see what is happening in the physical world and act on i ...

Future Security Landscape - The industry envisions a behavioral security platform capable of monitoring and protecting all identities, including human, non-human, and AI agents, across an organization [1] - AI agents are expected to become a larger part of the workforce, necessitating protection similar to human employees, both from external threats and from themselves [2] Security Strategy - The company aims to establish an autonomous blue team for continuous exposure detection and mitigation, proactively defending against attackers [2] - The goal is to create a proactive and continuous defense mechanism that balances the power dynamic between attackers and defenders [2]