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.
AI Model Security Risks: Why We’re at a Hacking Inflection Point
AI is shifting from target to tool for attackers while cloud-native lifecycles expand the attack surface. Here’s what security leaders need to know—and do—before model compromises scale across critical systems.
4 ways AI is reshaping discovery, health, work and responsibility: AI transforming small business operations
AI adoption is moving from edge to mainstream across small businesses and healthcare discovery. Here’s how it’s changing search, care access, team structures, and responsible practices—and what to do next.
How AI Firms Joined the Pentagon: AI defense partnerships reshape the market
Tech and national security have converged as the Pentagon formalizes AI adoption, awards large contracts, and leans on commercial cloud. This shift pulls general‑purpose AI into military pipelines and creates new strategic choices for vendors.
GPU-accelerated primal heuristics for routing: How NVIDIA cuOpt reshapes large-scale optimization
NVIDIA cuOpt applies GPU-powered primal heuristics to vehicle routing and related MIP problems, enabling near real-time re-optimization at industrial scale. Here’s how it works and why it matters for logistics and operations.
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.
