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311 articles • Page 11 of 21
AI startups raked in a record 64.3% of Q3 2025 VC deals, an unprecedented concentration of venture capital funding. This historic surge, driven by generative AI and large language models, has created a bifurcated market where capital flows freely to AI leaders while most other tech sectors face significantly tighter funding conditions.
The Profound AI Leaderboard is the leading benchmark for measuring brand visibility within answers from large language models (LLMs). This weekly ranking tracks the top 100 brands across major AI engines like ChatGPT, Google AI Overviews, Gemini, and Claude. An interactive dashboard on the Profound AI Leaderboard visualizes the extensive dataset.
A landmark Gartner forecast predicts all IT work will involve AI by 2030, fundamentally changing how tech departments operate. According to a July 2025 poll of over 700 CIOs, no IT tasks will be performed without AI. The study projects that 75% of work will be augmented by AI tools, while 25% will become fully autonomous. This shift places a new emphasis on human and organizational readiness, as leaders focus on upskilling teams, building trust in AI systems, and demonstrating clear business val
Anthropic's Claude Skills are a gamechanging approach to AI tool use, offering a modular system that dramatically improves efficiency. Launched in early 2025, Skills allow developers and teams to package instructions, data, and scripts into compact, reusable folders. This design slashes prompt lengths, secures credentials, and transforms Claude into a powerful library of microworkflows, sparking a major shift in how large language models are extended.
To gain a competitive edge and attract investors, leading AI startups are building "data moats" by developing proprietary data pipelines. This strategy secures exclusive information, sharpens product quality, and creates a defensible advantage that is reshaping technical roadmaps and fundraising conversations across all sectors.
Generative AI video is rapidly becoming an essential tool for marketers and ad buyers. The latest texttovideo engines empower growth teams to convert simple text prompts into studiograde footage in minutes, significantly reducing production costs and turnaround times. In an escalating arms race for consumer attention, AI video levels the playing field, enabling lean teams to prototype, test, and localize creative that once demanded full production crews.
Managing a vast universe of digital assets is a core challenge for brand leaders aiming for scale. A recent session from Acquia and Velir highlighted how combining AI with Digital Asset Management (DAM) can boost asset search by 300%, transforming content operations. This article unpacks how this powerful pairing streamlines workflows, captures institutional knowledge, and accelerates content reuse.
The era of AI agents shopping online is no longer theoretical. A groundbreaking analysis of 100 ChatGPT agent conversations reveals that autonomous agents are already researching products, comparing options, and making purchases. This pivotal shift demands immediate attention from ecommerce brands, as the study shows agents often select the first valid option they find. This article breaks down the key findings and provides actionable strategies from SEO futurist Jes Scholz to prepare your brand
A new Mayo Clinic AI tool is showing promise for detecting early cancer and heart disease risks from genomic data. Called UNISOM, the system identifies subtle mutations that signal future illness, paving the way for preventive care. It successfully detects clonal hematopoiesis of indeterminate potential (CHIP) in fewer than 5% of blood cells, a level that conventional lab methods often cannot identify.
The insight from McKinsey that formal processes double AI pilottoproduction rates is a standout finding from 2025 enterprise AI research. Formal workflow mapping and disciplined training can cut months from scaling timelines, yet many firms stall after promising pilots by skipping crucial preparation and education.
The era of unchecked AI spending is over. Firms are now turning to custom AI chips to cut workload costs by up to 60% and reduce power consumption by half. As CFOs demand clear ROI, a strategic convergence of specialized hardware, smarter software, and strict financial governance is reshaping AI infrastructure for maximum efficiency.
Salesforce accelerates enterprise AI adoption with Agentforce 360, a new platform for building intelligent AI agents inside Customer 360. It integrates four connected layers, from lowcode tools to advanced data processing, allowing users to create powerful chatbots that deliver fast, reliable customer support. With builtin voice support, comprehensive monitoring, and robust security, Agentforce 360 offers a faster, safer path to leveraging AI.
LLM judges are now used at an industrial scale to evaluate everything from chatbots to legal briefs, but new research reveals a critical flaw: they miss 24% of difficult cases. This accuracy gap poses a significant challenge for researchers who depend on automated grading for rapid model development.
Andrej Karpathy has released Nanochat, a groundbreaking project demystifying large language model (LLM) training by showing anyone how to build and train a ChatGPTlike chatbot for about $100. This project collapses the entire LLM pipeline into an accessible experiment, allowing learners to create their own 561M parameter model in just four hours using a single, clear code repository.
New research reveals that ChatGPT converts at 6.7%, beating Google Search by 3% for ecommerce traffic. A May 2025 study of 12.3 million retail sessions found that AIdriven visitors arrive with high purchase intent, leading to fewer abandoned carts. This shift makes "agentreadable" website design optimizing for AI assistants an essential strategy for online retailers. AI companions now act as personal shoppers, and brands must adapt to remain visible.