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Lowe's Expands AI with Semantic Layer and Knowledge Graphs

Lowe's Expands AI with Semantic Layer and Knowledge Graphs

Lowe's is using a semantic layer and knowledge graphs to help its AI agents understand business data better. This setup may help the AI support tools for shopping, sales, and finance by giving them clearer and more connected information. Early signs suggest that customer experience scores and online conversion rates improved after using these tools, but full cost savings or broader impacts are not confirmed yet. Executives say this system could make it easier for different teams to work together, especially during busy times, and the company is being careful about how quickly it expands the technology.

Asana acquires StackAI for $75M, expands no-code AI agent strategy

Asana acquires StackAI for $75M, expands no-code AI agent strategy

Asana bought StackAI for about $75 million in May 2026 to help build no-code AI agents on its platform. This move may signal a shift from simple task automation to connecting people and AI agents across different business tools. StackAI's technology lets Asana trigger actions in other systems, like CRM or ERP, and log results back into Asana. Customers may see faster workflow creation and better tracking, but it appears Asana will keep StackAI as a separate product for now while adding its features to their main platform.

OpenAI, SpaceX target $1T+ IPOs; Nvidia, Anthropic post giant growth

OpenAI, SpaceX target $1T+ IPOs; Nvidia, Anthropic post giant growth

OpenAI may go public as soon as September 2026, with a possible value up to $1 trillion, but the company has not set a firm date yet. Nvidia's latest quarter shows about 85 percent more revenue than before, reaching $81.6 billion, and the company has started a large share buyback. SpaceX has filed to go public and might be valued over $2 trillion, with plans to raise up to $75 billion. Anthropic may more than double its revenue in the second quarter of 2026 and could raise funds at a $900 billion value. All these moves suggest the market for artificial intelligence and related technology may keep growing quickly, but these numbers could still change.

CNN Sues Perplexity Over Paywalled Content, Citing Failed Negotiations

CNN Sues Perplexity Over Paywalled Content, Citing Failed Negotiations

CNN has sued Perplexity, an AI startup, claiming it copied and shared CNN's paywalled content without permission. CNN says Perplexity kept using its stories after failed talks, and that some AI answers may confuse users by showing CNN's logo. Perplexity argues it might be allowed to use facts this way under fair use rules, but it is not clear yet if the court will agree. This lawsuit comes as more publishers are challenging AI companies over content use, and the final decision could affect future deals and lawsuits. No trial date has been set yet.

AWS unveils Agentic Shopping Assistant for retailers, signs Kate Spade

AWS unveils Agentic Shopping Assistant for retailers, signs Kate Spade

Amazon is now selling its AI shopping assistant technology to other retailers through AWS, not just using it for its own site. The new service, called AWS Agentic Shopping Assistant, lets retailers create their own chatbots using Amazon's AI tools and their own product data. Kate Spade is the first public user, showing the system might work for both luxury and regular stores. Adoption appears limited so far, and experts suggest some retailers may worry about relying too much on Amazon or losing their unique edge. This move may help Amazon earn more from its AWS business, while making AI-powered shopping tools easier to get for other retailers.

Lowe's Integrates Semantic Layer, Knowledge Graphs to Boost AI Agents

Lowe's Integrates Semantic Layer, Knowledge Graphs to Boost AI Agents

Lowe's is using a semantic layer and knowledge graphs to help its AI agents make better day-to-day decisions. This setup may give agents a clearer, more unified view of products, orders, and suppliers, and helps standardize business terms and link related things like products and invoices. Three types of agents already use this system to help customers shop, support store associates, and check invoices. Early results suggest the system might lower costs and improve reliability, though these savings have not been fully confirmed. Analysts suggest other retailers may also use similar setups for clearer and more efficient AI.

Immersive Marketing Spends Hit $10.3B by 2030, Brands Plan Playbooks

Immersive Marketing Spends Hit $10.3B by 2030, Brands Plan Playbooks

Immersive marketing spending is estimated at $6.6 billion in 2024 and may reach $10.3 billion by 2030, though some sources suggest it could go as high as nearly $38 billion worldwide. North America appears to have the largest current share, but Asia-Pacific might be the fastest-growing region. Key drivers may include mobile AR, the possible rise of smart-glasses after 2026, and ongoing interest in mixed-reality shopping and virtual events. Brands often start with small tests, then expand and integrate these formats as they see results, like higher sales or engagement. Experts suggest that measuring success should focus on revenue, engagement, and brand impact, as attendance alone may not predict outcomes.

Publishers cut six-figure AI licensing deals via Snowflake RAG platform

Publishers cut six-figure AI licensing deals via Snowflake RAG platform

Some publishers, including major news outlets, are selling access to their news feeds to companies using Snowflake's data cloud, with deals that may reach six figures. These arrangements let companies pay for licensed news content using their existing Snowflake credits and access the information securely without moving the original files. Financial firms appear to be early buyers, using this licensed news for tools like market updates, sentiment analysis, and compliance checks. Experts warn that while this model may help some big publishers, most newsrooms might not see significant revenue from these deals. There is no clear leading approach yet, but these early experiments suggest publishers want more control and enterprises want trusted, traceable data.

OpenAI Prepares IPO Filing for $1 Trillion Valuation

OpenAI Prepares IPO Filing for $1 Trillion Valuation

OpenAI is reportedly preparing to file confidentially for an IPO that might value the company close to $1 trillion, though no date is confirmed yet. SpaceX appears to be moving toward an IPO as well, with filings suggesting a possible valuation above $2 trillion, but this could change if markets shift. Nvidia posted an 85 percent revenue jump and an $80 billion buyback, which some say suggests confidence in continued growth. Anthropic may have its first profitable quarter soon and is in talks for funding at a valuation near $900 billion. Overall, these moves may indicate strong interest in AI companies going public, though plans could change depending on market conditions.

DeepMind's Hassabis Sees AGI by 2030, Calls 2026 "Practice Run"

DeepMind's Hassabis Sees AGI by 2030, Calls 2026 "Practice Run"

Demis Hassabis from DeepMind suggests artificial general intelligence (AGI) may arrive by around 2030, possibly as early as 2029. He describes 2026 as a "practice run" for more advanced AI, as current systems gain new abilities. Different statements from Hassabis put AGI within five to ten years, though exact dates may change. Some experts think AGI could come soon, while others place higher chances in the 2040s. Hassabis's predictions may encourage early safety measures and greater policy focus, even though the timeline is still uncertain.

OpenAI Unveils Secure MCP Tunnel for Enterprise Data Privacy

OpenAI Unveils Secure MCP Tunnel for Enterprise Data Privacy

OpenAI has introduced the Secure MCP Tunnel, which may let companies keep their Model Context Protocol servers inside their own networks while still using tools like ChatGPT and Codex. The tunnel uses outbound-only HTTPS connections, so companies do not have to change inbound firewall rules. The security setup appears to lower risk by avoiding open ports and using cloud IAM roles instead of long-lived API keys. There is no confirmation yet of formal security certifications, so compliance might depend on how companies set up their own security controls. Early use seems to be for secure data access and automation inside companies, but exact adoption numbers are not available.

Okta reports Q1 revenue up 11% to $765M amid AI demand

Okta reports Q1 revenue up 11% to $765M amid AI demand

Okta's revenue for the first quarter rose 11% to $765 million, which was higher than expected. This growth appears linked to rising demand for identity services as more companies use AI agents that act as non-human users. Okta's management says they saw strong cash flow and record operating profits, and future growth may continue but at a slightly slower rate. Analysts seem mostly positive on Okta, though some want more proof that AI-linked demand will last. The company may invest more in new security and machine-identity features while aiming to keep profits high.

Cognition AI Raises $1B+ at $26B Valuation, Nears $500M Revenue

Cognition AI Raises $1B+ at $26B Valuation, Nears $500M Revenue

Cognition AI has raised over $1 billion at a $26 billion valuation, and its revenue run rate grew from about $37 million in May 2025 to $492 million by early 2026. The company sells an autonomous coding agent called Devin that can do multi-step tasks with little human help, but how widely Devin is used is not clear. Cognition faces competition from code assistants and AI-powered IDEs, and its future profit may depend on controlling costs and keeping users. Many AI firms, including Cognition, appear to be spending heavily, so profitability may be years away. It is also uncertain if Devin's current momentum will turn into a large and stable customer base.

Companies Expand AI Investment for Workflow Automation in 2026

Companies Expand AI Investment for Workflow Automation in 2026

Many companies plan to spend more on AI for workflow automation in 2026, with surveys suggesting 70 to 85 percent are increasing budgets. Reports say that executives see automating workflows and using real-time analytics as important new uses for AI, but there may still be challenges in moving from small pilot projects to full-scale use. Main reasons for this investment may include saving costs, filling staff shortages, and handling complex data. Some experts warn that few companies have strong systems to manage these new AI tools. While early returns on investment appear to be modest, combining AI with redesigned workflows might improve results, and most believe tracking clear metrics will help companies see real gains from automation.