The costs of bad data include wasted engineering hours and unplanned downtime for industrial operators. Missed opportunities to prevent major failures add to the impact. Full article: https://
buff.ly/WIeOyPE @InfluxDB #sponsored #influx_iiot #CES2026
ENTERPRISE AI
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Bad Data Costs: Engineering Hours and Industrial Downtime
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AI Industry Leadership and Partnerships Define 2025
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2025 was an important year when different industries with different missions all focused on one thing: AI that actually works. Our biggest moments were about deep partnerships that translated to industry leadership, bold conversations and best practices. Here's to 2026! pic.twitter.com/9FpcOR2PAu
— Domino Data Lab (@DominoDataLab) 8 janvier 20262025 was an important year when different industries with different missions all focused on one thing: AI that actually works. Our biggest moments were about deep partnerships that translated to industry leadership, bold conversations and best practices. Here's to 2026!
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Jamba2 Outperforms Competing Models in Enterprise Reliability
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2/4 Grounding + instruction following
Jamba2 outperforms peer models from @MistralAI and @alibaba_cloud on IFBench, IFEval, and FACTS, core indicators of enterprise reliability. -
Jamba2: Open Source Model for Enterprise Reliability
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1/4 Introducing Jamba2, a memory-efficient open source model family built for total enterprise reliability and steerability.
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5G Standalone and Network Slicing Enable Real-Time Content Creation
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A clear example of how 5G Standalone and network slicing move from infrastructure concepts to concrete value, because reducing latency and friction in the field changes how content is created, shared, and experienced in real time. @TMobileBusiness
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AI Glasses Provide Real-Time On-the-Job Training
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AI Glasses teach in real time. While doing the job.
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Context Breakdown: The Hidden Challenge in AI System Reliability
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Most AI systems don’t fail because of bad prompts.
They fail because context breaks at scale. If you’re building AI agents, LLM workflows, copilots, or automation, this is the layer that quietly decides whether your system is reliable or unpredictable. We’re hosting a 5-hour, -
Why AI Projects Fail and How to Succeed
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The real reasons AI projects stall, and how to make them unstoppable. pic.twitter.com/3A0kgDPfMy
— Satya Mallick (@LearnOpenCV) 8 janvier 2026The real reasons AI projects stall, and how to make them unstoppable.
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NVIDIA Tools Integrated Into Siemens AI Workflows at CES
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NVIDIA tools become part of @siemens workflows for physical and agentic AI applications. #CES2026 #sie_ces #DigitalTwins #FactoryAutomation
— Lucian Fogoros (@fogoros) 7 janvier 2026
Clip from CES 2026 – NVIDIA Live with CEO Jensen Huang : https://t.co/mFmQnSUK6D pic.twitter.com/xU1r5oR2CONVIDIA tools become part of @siemens workflows for physical and agentic AI applications. #CES2026 #sie_ces #DigitalTwins #FactoryAutomation Clip from CES 2026 – NVIDIA Live with CEO Jensen Huang : https://
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AI ROI Expectations Shift: From Exploration to Mandatory Returns
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Gone is the era of AI exploration. Billions have been spent, and the expectation is now reset: ROI is mandatory. Watch The Hidden Future of AI to learn from leaders how to achieve it: https://t.co/v5w5FPp70p pic.twitter.com/UnVnn501p1
— Domino Data Lab (@DominoDataLab) 7 janvier 2026Gone is the era of AI exploration. Billions have been spent, and the expectation is now reset: ROI is mandatory. Watch The Hidden Future of AI to learn from leaders how to achieve it: https://
domino.buzz/494pQNb