Ask: Does this provide them a better tool to diagnose faults? Automate a tedious manual log? Give clearer, faster view of chronic process issues? If no, the veto remains.
ENTERPRISE AI
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Muse Spark: Meta AI for Health, Science, and Math
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6/ muse spark powers a meta ai that sees and understands the world around you, pulls from real conversations across our apps, and reasons through complex questions in health, science, and math. built for the 3 billion people already using our apps every day.
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Shifting from IT-driven to OT-collaborative industrial solutions
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Traditional approach: seek buy-in for IT-conceived projects.
— Lucian Fogoros (@fogoros) 8 avril 2026
New approach: share ownership of OT-defined problems.
When OT teams become co-authors of solutions instead of defendants against them, the veto disappears.
Partner content with @InfluxDB. #influxdata_iiot #InfluxDB pic.twitter.com/4lBxkkxHY2Traditional approach: seek buy-in for IT-conceived projects.
New approach: share ownership of OT-defined problems.
When OT teams become co-authors of solutions instead of defendants against them, the veto disappears.
Partner content with @InfluxDB
. #influxdata_iiot #InfluxDB -
Anthropic Launches Mythos Model with Record SWE-Bench Performance
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I run growth at @AnthropicAI
. My job is to get our models into as many hands as possible. Mythos is by far the strongest model we've ever trained, and it's been a step-function change for us internally. It hit 93.9% SWE-bench Verified, found a ton of critical bugs including a -
OpenClaws Agents Transform Work at Every Company
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We use OpenClaws to do all of our work at @every.
— Dan Shipper 📧 (@danshipper) 8 avril 2026
We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack.
I chatted with @every COO Brandon (@bran_don_gell)… pic.twitter.com/6tt1eaLoD7We use OpenClaws to do all of our work at @every
. We have 25 full-time employees, so we’re one of the few companies in the world that has seen how work changes when everyone has their own personal agent in the company Slack. I chatted with @every COO Brandon (
@bran_don_gell
) -
Context Engineering: Enterprise Intelligence’s Next Era Beyond Bigger Models
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Bottom line: the next era of enterprise intelligence won’t be “bigger models”—it’ll be better context. Watch the full video: Context Engineering—Defining the Next Era of Enterprise Intelligence. In partnership with Elastic. Check out the full article: linkedin.com/pulse/context-e…
→ View original post on X — @ronald_vanloon, 2026-04-08 15:00 UTC
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Intelligent Agents: Natural Language Automation Across Systems
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Enter intelligent agents (the practical layer): Ask in natural language. The agent pulls context across systems, then acts—send an alert, generate a report, flag an anomaly. Result → faster cycles, clearer visibility, and automation you can trust across existing infrastructure.
→ View original post on X — @ronald_vanloon, 2026-04-08 15:00 UTC
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From Data Collection to Executive-Ready Explainability and Accuracy
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Why this matters to execs: → From collection → comprehension: you stop hoarding and start explaining. → Accuracy scales because answers come from your ground truth. → You finally get explainability you can take to a board meeting.
→ View original post on X — @ronald_vanloon, 2026-04-08 15:00 UTC
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Context Engineering: Why Quality Data Beats Volume for Enterprise AI
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Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes enterprise intelligence (in partnership with @elastic). Let’s dig in… #ElasticPartner
→ View original post on X — @ronald_vanloon, 2026-04-08 15:00 UTC
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Why Companies Pay Huge Money for AI Labelers
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Why Companies Are Paying Huge Money for AI Labelers Behind every powerful AI model is human input — companies are investing heavily in AI labelers to improve accuracy, reliability and performance. Read more https://
bernardmarr.com/why-companies-
are-paying-huge-money-for-ai-labelers/
… #AI #Data #FutureOfWork #BernardMarr