What’s Next in AI—Explained for Marketing & Sales
Weekly data-driven trends, product roadmaps, and adoption signals that impact marketing & sales teams.
Inside the Forecasts & Trends Hub
AI-driven insights on where the market is heading — from vendor roadmaps to emerging growth metrics.
Why These Forecasts Matter
- Data-backed trends, not speculation
- Focused on business impact and ROI signals
- Regularly updated with vendor roadmaps
- Actionable insights for marketing and growth planning
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Explore the Trend Library
Fresh, data-driven posts on adoption, roadmaps, and market shifts.
Test-Time Training for LLMs: qTTT, TTT-E2E & Business Impact
New research reframes context as training data, letting language models adapt during inference. Techniques like qTTT and TTT-E2E improve long-context recall and complex reasoning while aligning with emerging test-time compute trends.
Multi-Agent AI for Warehouse Operations: The Command Layer Connecting Floor to Supply Chain
Warehouses are moving beyond point tools to an AI command layer that orchestrates data, decisions, and agents across facilities and the broader network. The payoff: faster fulfillment, fewer bottlenecks, and real-time supply chain intelligence.
AI Models Are Starting to Learn by Asking Themselves Questions: How self-learning AI models change the game
A new wave of AI moves beyond human-labeled data toward systems that generate their own training signals—and even their own questions. Here’s what it means for capabilities, costs, and risk.
From Signal magazine: How Jaron Lanier is reframing what it means to build – and trust – AI with human-centered AI accountability
Jaron Lanier argues that AI isn’t an autonomous entity but a socio-technical system built from human choices, data labor, and governance. That reframing shifts trust from the model itself to the people and institutions behind it.
From Warehouse to Wallet: AI transforming retail supply chains and CX
New State of AI in Retail & CPG surveys point to AI moving from pilots to core systems, boosting supply-chain throughput and personalization while delivering top ROI in marketing content and customer analytics.
Local LLM inference on NVIDIA RTX PCs: Faster, private AI on your desk
Open‑source models and GPU tooling now let teams run capable LLMs and diffusion models locally on RTX PCs—cutting latency, protecting data, and reducing reliance on the cloud.
