📌 MAROKO133 Eksklusif ai: The Last Spacecraft Orbiting Venus Has Officially Died W
Earth’s lone connection to Venus is over. After losing contact a year ago, The Japanese Aerospace Exploration Agency (JAXA) has officially declared the Akatsuki spacecraft dead, ceasing operations after coming to terms with the unlikelihood of a recovery.
Launched back in 2010, the Akatsuki’s mission was to study weather patterns on our hellish neighboring planet. The $300 million probe — also known as the Venus Climate Orbiter — suffered an engine failure during its initial approach to Venus and spent five years of drifting around the Sun before the JAXA figured out how to rescue the craft and finally insert it into Venus’ orbit in 2015.
Measuring at only five feet on each side, the cube-shaped probe launched with six instruments to execute its research, all of which survived that initial setback. However, two infrared cameras ceased working during 2016.
Even with its early misfortune, the Akatsuki long surpassed its intended lifespan of 4.5 years. The 15-year mission collected eight years of data that has resulted in 178 journal papers and counting; the four remaining instruments stayed in operation until JAXA lost communication with Akatsuki in April of 2024.
It was the closest connection us earthlings had to Venus, and marks Japan’s first successful exploration of another planet. According to NASA, seven other orbiters have made successful trips around Venus — four from the USSR, two from the United States, and one from the European Space Agency. The ESA’s Venus Express was the last probe to orbit the planet prior to Akatsuki; it arrived there in 2006, the agency lost contact with it in 2014, and the mission was officially ended the following month.
However, Venus may not stay alone forever.
NASA’s DAVINCI mission, slated to launch in 2030, is designed to study the atmosphere with plans to land. And the agency’s VERITAS, scheduled to launch in 2031, will orbit the planet to study its surface and interior, like Akatsuki. (The fate of each mission remains up in the air with Trump’s ongoing and impending NASA budget cuts.)
But even if they fall through, there’s a backup plan: the ESA is planning to launch an orbiter called EnVision in the 2030s, designed to observe the planet’s atmosphere, surface and interior.
Until then, it’s ciao for now to Venus from us on Earth.
More from space: Space Junk Now Almost Constantly Crashing Down to Earth
The post The Last Spacecraft Orbiting Venus Has Officially Died appeared first on Futurism.
🔗 Sumber: futurism.com
📌 MAROKO133 Eksklusif ai: Inside Celosphere 2025: Why there’s no ‘enterprise AI’ w
Presented by Celonis
AI adoption is accelerating, but results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from the AI solutions — especially as the use of autonomous agents rises and global tariffs disrupt supply chains.
The issue isn’t the AI itself, says Alex Rinke, co-founder and co-CEO of Celonis, a global leader in process intelligence. “To succeed, enterprise AI needs to understand the context of a business’s processes — and how to improve them,” he explains. Without this business context, AI risks becoming, as Rinke puts it, “just an internal social experiment.”
Next week’s Celosphere 2025 will tackle the AI ROI challenge head-on. The three-day event brings together customer strategies, hands-on workshops, and live demonstrations, highlighting enhancements to the Celonis Process Intelligence (PI) Platform that help enterprises harness ‘enterprise AI,’ powered by PI, to continuously improve operations, creating measurable business value at scale.
Focus on measurable ROI
The event’s focus on achieving AI ROI reflects three challenges facing technology and business leaders moving from pilot to production: obsolete systems, break-neck industry change, and agentic AI. According to Gartner, 64% of board members now view AI as a top-three priority — yet only 10% of organizations report meaningful financial returns.
Celonis customers are bucking that trend. A Forrester Total Economic Impact study found organizations using its platform achieved 383% ROI over three years, with payback in just six months. One company improved sales order automation from 33% to 86%, saving $24.5 million. The study estimated $44.1 million in total benefits over three years, driven by faster automation, reduced inefficiencies, and higher process visibility. These numbers underscore a broader pattern — companies that modernize outdated systems and align AI with process optimization see faster payback and sustained gains.
Real companies, real results
Celosphere will spotlight how global enterprises are building “future-fit” operations. Mercedes-Benz Group AG and Vinmar Group will showcase AI-driven, composable solutions, powered by PI, and attendees will see demonstrations of PI enabling agents in live production environments.
Among the notable success stories:
AstraZeneca, the pharmaceutical company, reduced excess inventory while keeping critical medicines flowing by using Celonis as a foundation for its OpenAI partnership.
The State of Oklahoma can answer procurement status questions at scale, unlocking over $10 million in value.
Cosentino clears blocked sales orders up to 5x faster using an AI-powered credit management assistant.
Raising the stakes for agentic AI
Numerous sessions will focus on orchestrating AI agents. The shift from AI-as-advisor to AI-as-actor, changes everything, says Rinke.
“The agent needs to understand not just what to do, but how your specific business actually works,” he explains. “Process intelligence provides those rails."
This leap from recommendation to autonomous action raises the stakes exponentially. When agents can independently trigger purchase orders, reroute shipments, or approve exceptions, bad context can mean catastrophically bad outcomes at scale.
Celosphere attendees will get to see first-hand how companies are using the Celonis Orchestration Engine to coordinate AI agents alongside people and systems. Effective orchestration is a crucial protection against the chaos of agents working at cross-purposes, duplicating actions, or letting crucial steps fall through the cracks.
Navigating tariffs and supply chain shocks
Global trade volatility isn't just a headline — it's an operational nightmare reshaping how companies deploy AI, Rinke says.
New tariffs trigger cascading effects across procurement, logistics, and compliance. Each policy shift can cascade across thousands of SKUs — forcing new supplier contracts, rerouted shipments, and rebalanced inventories. For AI systems trained on static conditions, that volatility is almost impossible to predict. Traditional AI systems struggle with such variability — but process intelligence gives organizations real-time visibility into how changes ripple through operations.
Celosphere case studies will show how companies turn disruption into advantage. Smurfit Westrock uses PI to optimize inventory and reduce costs amid tariff uncertainty, while ASOS leverages PI to optimize its supply chain operations, enhancing efficiency, reducing costs, and continuing to deliver an outstanding customer experience.
Platform over point solutions
Rinke argues that Celonis’ edge lies in treating process intelligence not as an add-on, but as the foundation of the enterprise stack. Unlike bolt-on optimization tools, the Celonis platform creates a living digital twin of business operations — a continuously updated model enriched by context that lets AI operate effectively from analysis to execution.
“What sets Celonis apart is visibility across systems and offline tasks, which is critical for true intelligent automation,” Rinke says. “The platform offers comprehensive capabilities spanning process analysis, design, and orchestration rather than a point solution.”
“Free the Process” and the future of AI
Celonis continues to champion openness through its “Free the Process” movement, promoting fair competition and freeing enterprises from legacy lock-in. By giving organizations full access to their own process data, open APIs, and a growing partner network that includes The Hackett Group, ClearOps, and Lobster, Celonis is building the connective tissue for a new era of interoperable automation.
For Rinke, this open foundation is what turns AI from a set of experiments into an enterprise engine. “Process intelligence creates a flywheel,” he says. “Better understanding leads to better optimization, which enables better AI — and that, in turn, drives even greater understanding. There is no AI without PI."
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🔗 Sumber: venturebeat.com
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