Tech
When ‘Head in the Clouds’ Means Staying Ahead
Head in the Clouds: Cloud is no longer just storage—it’s the intelligent core of modern business. Explore how “cognitive cloud” blends AI and cloud infrastructure to enable real-time, self-optimizing operations, improve customer experiences, and accelerate enterprise modernization.
Last Updated on February 7, 2026 by Daily News Staff
When ‘Head in the Clouds’ Means Staying Ahead
(Family Features) You approve a mortgage in minutes, your medical claim is processed without a phone call and an order that left the warehouse this morning lands at your door by dinner. These moments define the rhythm of an economy powered by intelligent cloud infrastructure.
Once seen as remote storage, the cloud has become the operational core where data, AI models and autonomous systems converge to make business faster, safer and more human. In this new reality, the smartest companies aren’t looking up to the cloud; they’re operating within it.
Public cloud spending is projected to reach $723 billion in 2025, according to Gartner research, reflecting a 21% increase year over year. At the same time, 90% of organizations are expected to adopt hybrid cloud by 2027. As cloud becomes the universal infrastructure for enterprise operations, the systems being built today aren’t just hosted in the cloud, they’re learning from it and adapting to it.
Any cloud strategy that doesn’t account for AI workloads as native risks falling behind, holding the business back from delivering the experiences consumers rely on every day.
After more than a decade of experimentation, most enterprises are still only partway up the curve. Based on Cognizant’s experience, roughly 1 in 5 enterprise workloads has moved to the cloud, while many of the most critical, including core banking, health care claims and enterprise resource planning, remain tied to legacy systems. These older environments were never designed for the scale or intelligence the modern economy demands.
The next wave of progress – AI-driven products, predictive operations and autonomous decision-making – depends on cloud architectures designed to support intelligence natively. This means cloud and AI will advance together or not at all.
The Cognitive Cloud: Cloud and AI as One System
For years, many organizations treated migration as a finish line. Applications were lifted and shifted into the cloud with little redesign, trading one set of constraints for another. The result, in many cases, has been higher costs, fragmented data and limited room for innovation.
“Cognitive cloud” represents a new phase of evolution. Imagine every process, from customer service to supply-chain management, powered by AI models that learn, reason and act within secure cloud environments. These systems store and interpret data, detect patterns, anticipate demand and automate decisions at a scale humans simply cannot match.
In this architecture, AI and cloud operate in concert. The cloud provides computing power, scale and governance while AI adds autonomy, context and insight. Together, they form an integrated platform where cloud foundations and AI intelligence combine to enable collaboration between people and systems.
This marks the rise of the responsive enterprise; one that senses change, adjusts instantly and builds trust through reliability. Cognitive cloud platforms combine data fabric, observability, FinOps and SecOps into an intelligent core that regulates itself in real time. The result is invisible to consumers but felt in every interaction: fewer errors, faster responses and consistent experiences.
Consumer Impact is Growing
The impact of cognitive cloud is already visible.
In health care, 65% of U.S. insurance claims run through modernized, cloud-enabled platforms designed to reduce errors and speed up reimbursement. In the life sciences industry, a pharmaceuticals and diagnostics firm used cloud-native automation to increase clinical trial investigations by 20%, helping get treatments to patients sooner. In food service, intelligent cloud systems have reduced peak staffing needs by 35%, in part through real-time demand forecasting and automated kitchen operation. In insurance, modernization has produced multi-million-dollar savings and faster policy issuance, improving both customer experience and financial performance.
Beneath these outcomes is the same principle: architecture that learns and responds in real time. AI-driven cloud systems process vast volumes of data, identify patterns as they emerge and automate routines so people can focus on innovation, care and service. For businesses, this means fewer bottlenecks and more predictive operations. For consumers, it means smarter, faster, more reliable services, quietly shaping everyday life.
While cloud engineering and AI disciplines remain distinct, their outcomes are increasingly intertwined. The most advanced architectures now treat intelligence and infrastructure as complementary forces, each amplifying the other.
Looking Ahead
This transformation is already underway. Self-correcting systems predict disruptions before they happen, AI models adapt to market shifts in real time and operations learn from every transaction. The organizations mastering this convergence are quietly redefining themselves and the competitive landscape.
Cloud and AI have become interdependent priorities within a shared ecosystem that moves data, decisions and experiences at the speed customers expect. Companies that modernize around this reality and treat intelligence as infrastructure will likely be empowered to reinvent continuously. Those that don’t may spend more time maintaining the systems of yesterday than building the businesses of tomorrow.
Learn more at cognizant.com.
Photo courtesy of Shutterstock
SOURCE:
Cognizant
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Link: https://stmdailynews.com/culvers-thank-you-farmers-project-hits-8-million-donation-milestone/
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Last Updated on April 2, 2026 by Daily News Staff
🕒 [UPDATE] Orion Performs Translunar Injection Burn
The spacecraft has completed its critical engine burn, sending Artemis II on a trajectory toward the Moon. This marks the official start of its deep space journey.
Artemis II Successfully Launches
CAPE CANAVERAL, Fla. — NASA has successfully launched its Artemis II mission, marking the first crewed journey toward the Moon in more than 50 years.
The powerful Space Launch System (SLS) rocket lifted off from Kennedy Space Center on April 1, carrying four astronauts on a 10-day mission around the Moon and back.
On board are Commander Reid Wiseman, Pilot Victor Glover, Mission Specialist Christina Koch, and Canadian astronaut Jeremy Hansen. The mission is already being hailed as a major milestone in NASA’s effort to return humans to deep space.
Shortly after liftoff, the Orion spacecraft successfully reached orbit and deployed its solar arrays, beginning its journey that will eventually send the crew on a translunar trajectory toward the Moon. 
Artemis II is a lunar flyby mission, meaning astronauts will not land but will travel farther from Earth than any human mission in decades while testing critical systems needed for future landings.
The mission also marks several historic firsts, including the first woman and the first person of color—Victor Glover—to travel into lunar space.
NASA says the mission is a key step toward future lunar landings and long-term plans to establish a human presence on the Moon later this decade.
🛰️ Artemis II Mission Timeline
The 10-day Artemis II mission follows a carefully planned trajectory from Earth to the Moon and back:
- Day 1: Launch and Earth orbit
- Day 1–2: Translunar injection burn
- Days 2–4: Deep space travel
- Days 4–5: Lunar flyby
- Days 5–8: Return to Earth
- Days 9–10: Reentry and splashdown
For official updates and in-depth mission details, visit the following trusted sources:
- NASA: Artemis II Mission Overview
- NASA Artemis Program (Return to the Moon)
- Orion Spacecraft – Mission Details
- Space Launch System (SLS) Rocket Overview
- Kennedy Space Center – Launch Operations
- Watch NASA Live Coverage and Replays
🧾 Sources
- NASA official launch coverage and mission updates
- NASA Artemis II press materials and briefings
- NASA Kennedy Space Center launch operations updates
Stay with STM Daily News for live updates on Artemis II.
CropX Technologies has launched CropX Vision, a new AI-powered vineyard monitoring solution designed to help growers measure vine water stress using a single canopy image.
The new tool uses computer vision and agronomic modeling to estimate leaf water potential from a smartphone photo, giving growers and agronomists a faster and more scalable way to assess plant stress across entire vineyard blocks. The company says the goal is to support better irrigation decisions throughout the growing season.
CropX Vision is available globally on both iOS and Android. The platform is also integrated into the broader CropX application, allowing users to combine canopy-based stress insights with other agronomic data in one place.
According to CropX, the technology offers an in-season alternative to traditional pressure chamber measurements, which can be more time-consuming and limited in sampling range. Instead of relying on specialized equipment, growers can capture a single image in the field and receive plant-level water stress insights.
The product builds on technology originally developed by Tule Technologies, a California-based precision irrigation company acquired by CropX in 2023. Tule’s canopy sensing technology has already been used in California vineyards, and CropX is now expanding that capability to growers worldwide.
CropX says the global release reflects its continued focus on data-driven tools that help growers improve productivity while managing water more efficiently.
CropX Vision is now available for download via the app stores:
- iOS: https://apps.apple.com/nl/app/cropx-vision/id6756921607?l=en-GB
- Android: https://play.google.com/store/apps/details?id=com.cropx.cropx_vision&pcampaignid=web_share
For more information, visit CropX Vision.
Visit the Food and Drink section on STM Daily News for the latest food news, beverage trends, restaurant stories, seasonal recipes, culinary events, and community-driven lifestyle coverage.
Consumer Corner
Unilever, Google Cloud Strike Five-Year AI Partnership to Reshape Consumer Goods Marketing
Unilever and Google Cloud have announced a five-year partnership aimed at accelerating the consumer goods giant’s digital transformation through AI, cloud infrastructure, and data modernization.
The deal centers on helping Unilever strengthen brand discovery, marketing measurement, and AI-driven customer engagement across its global portfolio, which includes Dove, Vaseline, and Hellmann’s. A major focus is the rise of conversational and agentic commerce, where consumers increasingly discover and shop for products through AI-powered interactions rather than traditional search and browsing.
As part of the agreement, Unilever will migrate its integrated data and cloud platform to Google Cloud, creating what the companies describe as an AI-first digital backbone. That system is intended to help Unilever move faster on demand generation, turn data into actionable insights, and respond more quickly to shifts in the market.
The partnership is built around three pillars:
- Agentic commerce and marketing intelligence
- An integrated data and cloud foundation
- Advanced AI adoption across the business
Unilever leadership framed the move as part of a broader shift in which technology is becoming central to value creation in the fast-moving consumer goods sector. Google Cloud said the collaboration will use advanced AI models, including Gemini, to help modernize business processes and improve agility.
Unilever said it generated €50.5 billion in sales in 2025, operates in more than 190 countries, and reaches 3.7 billion people every day.
What to watch for
- How “agentic commerce” changes consumer brand discovery
- Whether other major CPG companies follow with similar AI-cloud partnerships
- How AI-backed marketing measurement impacts ad efficiency and conversion
Source: PR Newswire / Google Cloud
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