Industrial IoT maturity is accelerating fast. What are you seeing? @IIoT_World @CRudinschi @agentic_factory @YarmolukDan @Xavier_Porter1 @ThyGat
BUSINESS
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Industrial Analytics Projects Fail Due to Data Preparation Challenges
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Industrial analytics projects have a 70% failure rate, often because the data preparation phase takes longer than expected and delivers poor quality datasets.
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SpaceX IPO Valuation: Understanding the Anticipated Price Point
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The only way SpaceX’s anticipated IPO price makes sense?
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Meta Cuts 8,000 Jobs to Fund AI Infrastructure Expansion
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Meta layoffs investors had been bracing for are coming, with roughly 8,000 jobs cut starting May 20, about 10% of its 79,000-person workforce. Mainly to free up billions for AI infrastructure, shifting resources from payroll to data centers, chips, and advanced models as
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CMOs Lead Token Consumption in Top Organizations
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.@rabois: "I've noticed that in some of the best organizations, the number one consumer of tokens is the CMO." https://t.co/pWjqWzFrbR pic.twitter.com/PUjXYiEV8Y
— Lenny Rachitsky (@lennysan) 18 avril 2026.
@rabois
: "I've noticed that in some of the best organizations, the number one consumer of tokens is the CMO." -
AI Role in Major For-Profit Hospital Chain Healthcare
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How AI is already playing a role at the country's largest for-profit hospital chain
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
India Launches AI Governance and Economic Group under Government Leadership
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The AI Governance and Economic Group (AIGEG) will be chaired by the Hon’ble Minister for Electronics and Information Technology, with the Hon’ble Minister of State for Electronics and IT serving as Vice Chairperson. The Group brings together senior leadership across government,
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AI Accelerates Drug Development Timelines From Lab to Patients
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Life sciences AI is shortening the time from lab to patients. Partner content with @Siemens.
— Lucian Fogoros (@fogoros) 18 avril 2026
Traditional drug development: 10-15 years, billions in costs.
AI-accelerated development: compressed timelines, optimized trials.
The difference is measured in lives saved. #sie_HM. pic.twitter.com/8ehFGDJjwsLife sciences AI is shortening the time from lab to patients. Partner content with @Siemens
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Traditional drug development: 10-15 years, billions in costs.
AI-accelerated development: compressed timelines, optimized trials.
The difference is measured in lives saved. #sie_HM. -
Machine Learning Drives Dynamic Pricing Through Real-Time Algorithms
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Machine learning enables dynamic pricing through demand signals and competitive data in real time. As margins narrow and volatility grows, algorithmic updates align sales and finance around measurable targets and limit manual pricing decisions. Microblog by @antgrasso
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Manufacturing Speed Over Data: New Competitiveness Metric
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Manufacturing competitiveness now measured by velocity from knowing to doing, not by amount of data visibility achieved.