Mixture of Experts went from academic curiosity (1991) → impossible to scale (2000s) → production breakthrough (2021) → industry standard (2025). Dense models are becoming legacy infrastructure. If you're building AI in 2025 and not considering MoE, you're overpaying by 10x.
ENTERPRISE AI
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SAS Leaders Predict AI Coming of Age Through Data Management
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Data and AI leaders at SAS predict an AI coming of age . Embracing the fundamentals of data management and trustworthy AI is the only way for this technology to achieve its full potential to benefit humans, empower organizations and accelerate innovation. Which one of these
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Abacus AI Supercharges Deep Agent to Automate Enterprise Tasks
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USE AI FOR EVERYTHING We will be super charging Abacus AI’s Deep Agent in the New Year We will be combining the best tools with the best AI models available The goal will be to automate all the routine tasks for enterprises and professionals Stay tuned!
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Building AI-Native Enterprise Systems at Scale
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The next era of enterprise is being built AI-native from day one. Join this CES panel to explore how organizations are designing end-to-end AI systems—from infrastructure to creative interfaces—to unlock real transformation at scale. CES Foundry Stage | Fontainebleau,
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Slack Connector on Manus Transforms Conversations Into Searchable Knowledge
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Is your team’s best knowledge buried in endless Slack threads? 👀
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 2 janvier 2026
Meet the Slack Connector on Manus. It transforms Slack conversations into searchable, actionable knowledge—so insights don’t disappear in the scroll. 👇👇 pic.twitter.com/vAkh0mXi6RIs your team’s best knowledge buried in endless Slack threads? Meet the Slack Connector on Manus. It transforms Slack conversations into searchable, actionable knowledge—so insights don’t disappear in the scroll.
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Organizations Prioritize Supply Chain Resilience and Agility
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Resilience and agility in supply chain management are the two main priorities for almost all organizations, with about 90% investing in greater supply chain resilience over the next two years. Source @Gartner_inc Link https://
gtnr.it/495cgcd via @antgrasso #supplychain -
The Efficiency Era of AI Models
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The lottery ticket hypothesis wasn't wrong. We just weren't ready for it. In 2025, sparse models are no longer academic curiosities. They're production infrastructure. The future isn't bigger models. It's smarter pruning. Welcome to the efficiency era. Read it here if you
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Sparse Models Deliver Real-World Gains
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Real-world results from companies already deploying sparse models: OpenAI: 40% cost reduction on GPT-4 API
Meta: 3x throughput increase for Llama inference
Google: 60% memory savings for production transformers The early adopters are already winning. -
MIT’s 90% Neural Network Deletion Breakthrough Ignored
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MIT proved you can delete 90% of a neural network without losing accuracy. Five years later, nobody implements it. "The Lottery Ticket Hypothesis" just went from academic curiosity to production necessity, and it's about to 10x your inference costs. Here's what changed (and
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Three AI Capabilities: Traditional, Generative, and Agentic AI in 2026
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AI isn’t one thing – it’s three different capabilities. Traditional AI predicts and detects. Generative AI creates and automates. Agentic AI takes action and uses tools. The real shift in 2026?
Agentic AI becomes the operational layer – moving companies from automation