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Databricks Raises $5B, Hits $190B Valuation With $7B Revenue Run RateAI News & Trends

Databricks Raises $5B, Hits $190B Valuation With $7B Revenue Run Rate

Databricks has raised $5 billion and now has a $190 billion valuation, with revenues reaching a $7 billion run rate. Its valuation went up about 42 percent in just six months, which investors say may be due to fast revenue growth. The company appears to be attracting large investments as it positions itself for big data and AI workloads, even as overall venture funding slows down. This funding might show strong interest in AI infrastructure and could mean Databricks is preparing for a public market entry or major research projects. Snowflake remains its main competitor, but Databricks is seen as a leader in the field, according to analysts.

Patrón unveils 5 steps for spirits brand transparency campaignsPersonal Influence & Brand

Patrón unveils 5 steps for spirits brand transparency campaigns

Patrón shared a five-step guide for spirits brands to be more transparent. The steps suggest starting with a compliance check, focusing on one clear question about ingredients, and using packaging as proof. They also recommend answering consumer questions quickly and measuring customer perception, not just social media reach. These steps may help brands show real proof of what is in their products and build trust, though some effects, like sales impact, remain uncertain.

Google's Gemini 3.5 Flash-Lite changes Search visibility in AI OverviewsAI News & Trends

Google's Gemini 3.5 Flash-Lite changes Search visibility in AI Overviews

Gemini 3.5 Flash-Lite, Google's new search model, quickly changed which pages are shown in AI Overviews. Early data suggests that the overlap between top search results and AI Overview citations dropped sharply, and the number of sources per answer increased. Gemini appears to favor pages that answer common questions, provide clear sources, and cover topics in detail, even if those pages are not ranked high. Sites from well-known and trusted sources are still cited more often. This update means visibility depends more on how easily a page can be quoted and trusted rather than just search ranking.

Marketing Evolution Unveils Substrate for Unified Marketing DataAI News & Trends

Marketing Evolution Unveils Substrate for Unified Marketing Data

Marketing Evolution has introduced Substrate, a tool that brings together marketing data in one place and works directly within a customer's cloud warehouse. Substrate may help standardize and monitor incoming data, and can reportedly analyze marketing results with only three months of data, though this might vary in practice. The system appears to offer privacy-friendly tracking by not using cookies or personal information and covers many types of marketing channels, even where data is limited. Substrate is designed to fit into existing cloud systems and aims to reduce the confusion from using multiple measurement tools. However, it is still uncertain how widely it will be used and if all its claims will hold true for every business.

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GitHub Ships Agent HQ, Enterprise AI Controls for Copilot in 2026
AI News & Trends1d ago

GitHub Ships Agent HQ, Enterprise AI Controls for Copilot in 2026

GitHub has introduced Agent HQ and Enterprise AI Controls for Copilot Enterprise teams, which may help manage how AI coding tasks happen during code reviews. The system suggests using external AI models while GitHub runs the control tools to coordinate agents, log their actions, and keep each run separate for security. Teams might control which agents and models are allowed by listing them in a special file, and admins now have tools to watch and audit agent sessions. The Model Context Protocol appears to be growing, with many servers and downloads, possibly showing it is becoming standard. Some features are fully available, while others, like agent hooks, are still being tested, and GitHub seems to be adding more control features before giving agents more independence.

India demands Meta align content policies with new 2026 IT rules
Business & Ethical AI1d ago

India demands Meta align content policies with new 2026 IT rules

Indian officials have told Meta that the company may keep its existing recommendation systems if they follow Indian laws. New rules from February 2026 require platforms like Meta to remove unlawful content within three hours and add stronger checks for deepfakes. The government wants Meta to prove that its systems, both human and automated, can quickly find and remove illegal posts, especially in Indian languages. Officials suggest that transparency about how Meta handles risky content and deepfakes may be enough for compliance, without needing a full algorithm change. Meta appears to be cooperating but has pushed back on strict age checks, suggesting education instead.

Instagram tests "Your Algorithm" feed controls, new creator bonuses
AI News & Trends1d ago

Instagram tests "Your Algorithm" feed controls, new creator bonuses

Recent social media updates suggest that platforms like Instagram, Meta, YouTube, LinkedIn, and Threads are testing new features to give users more control and offer more ways for creators to earn money. Instagram may let users adjust what they see in their feed and is testing new ad types and creator bonuses. Other changes include new safety features, updated payment options for advertisers, and new tools for sorting content. Most of these features are still in testing, so things might change as they are developed. Experts note that results could vary until the changes are fully rolled out.

LinkedIn Drives 80% of B2B Manufacturing Leads in 2026
Institutional Intelligence & Tribal Knowledge1d ago

LinkedIn Drives 80% of B2B Manufacturing Leads in 2026

Around 80% of B2B manufacturing leads in 2026 may come from LinkedIn, making it the main social channel for this industry. Reports suggest that generating leads through LinkedIn tends to be more expensive for manufacturing, with costs between $250 and $350 per lead, and the average sales cycle appears to last 110-130 days. Experts recommend that companies use LinkedIn along with other channels like outbound marketing and industry events, and adjust their strategies based on their own data. These figures are based on available global data, but actual results for manufacturing may vary.

Cision: 91% of PR Pros Use AI in Workflows
AI News & Trends1d ago

Cision: 91% of PR Pros Use AI in Workflows

A recent survey from Cision suggests that about 91% of public relations professionals now use AI tools in their daily work. Many teams rely on AI for tasks like monitoring, reporting, and writing, and this may show the industry is moving from trying these tools to making them a regular part of work. At the same time, large PR agencies are merging, while smaller agencies focus on special skills. Executive voices and careful measurement appear to be getting more important, as teams try to show clear results and build trust. Spending on earned media might double by 2027 if AI continues to give more visibility to trusted sources.

AI Rewrites Executive Hiring Playbook, Prioritizing Adaptability, AI Fluency
AI News & Trends2d ago

AI Rewrites Executive Hiring Playbook, Prioritizing Adaptability, AI Fluency

AI may be changing how companies hire top executives, with search firms now using data and algorithms to find new candidates more quickly. The focus of hiring appears to be shifting from deep technical skills to qualities like adaptability, AI understanding, and good decision making with data. Tools can scan large amounts of information to identify leaders and help match them to roles, but human judgment is still important for culture fit and final decisions. There may be risks, such as possible bias in the data, and some steps still rely on building trust through conversation. Overall, these new tools suggest that future leaders will need to be comfortable with AI, make quick decisions, and handle change well.

Meta's Zuckerberg Unveils AI Policy Push, Links to Infrastructure Spend
AI News & Trends2d ago

Meta's Zuckerberg Unveils AI Policy Push, Links to Infrastructure Spend

Mark Zuckerberg's new AI policy push, called "The Future is for Everyone," argues that giving more people access to AI may be safer than letting only a few control it. The plan suggests making it easier to build data centers, keeping some chip export controls, making it simpler to use data for training, and creating legal rules for model distillation. Experts think Meta's proposed community deals for data centers might work because they offer jobs and local benefits, though some obstacles remain. Critics warn that more access to AI doesn't always mean better safety, and local changes may not fix global risks. Meta's strategy appears to mix open and closed AI models, possibly to balance government concerns and business goals.

Enterprises Pivot to Hybrid Cloud for AI, Data Governance in 2026
AI News & Trends2d ago

Enterprises Pivot to Hybrid Cloud for AI, Data Governance in 2026

Many organizations are moving away from using only public cloud and are choosing hybrid cloud setups for better control over costs, security, and AI data governance. Reports suggest that about 73 percent of enterprises may now use hybrid cloud, and this shift appears linked to gaining business value, not just saving money. Hybrid setups help companies keep sensitive data secure and meet legal rules, especially with increasing use of AI. Studies indicate that certain workloads are better kept private, while public clouds are used for flexible, short-term needs. Good data governance, like classifying data and monitoring for risks, is gaining importance as more companies use a mix of cloud environments.

M&A Rebounds: 160 Enterprise Software Startups Could Be for Sale in 2026
AI News & Trends2d ago

M&A Rebounds: 160 Enterprise Software Startups Could Be for Sale in 2026

Many enterprise software startups may be up for sale in 2026, as IPOs remain rare and AI draws most new venture capital. Reports suggest global deal values have risen, with technology as the busiest sector. Buyers appear to favor companies with strong recurring revenue, unique data, and clear AI features. There may be more interest in AI-focused businesses, while older software firms could face lower valuations. Founders might need to highlight their AI strengths and consider different types of deals, since the market shows some uncertainty.