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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.

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Last Updated on February 7, 2026 by Daily News Staff

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.

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.

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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

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Cognizant

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Joby Aviation and Toyota kick off manufacturing alliance to scale electric air taxi production

Joby Aviation and Toyota launch a joint venture to improve productivity, quality, and cost as they prepare to scale electric air taxi production.

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Joby Aviation and Toyota Motor Corporation have launched the initial phase of a strategic manufacturing alliance aimed at accelerating commercial production of electric air taxis—an early step the companies say is designed to make “air mobility for all” a practical, everyday reality.

Announced June 30, 2026, the partnership formalizes a new joint venture that will combine Joby’s electric aviation development with Toyota’s production systems and operational expertise. The near-term focus: building the groundwork for commercial production while pushing improvements in productivity, quality, and cost—key factors as the industry moves from prototypes to scaled manufacturing.

Joby Aviation and Toyota launch a joint venture to improve productivity, quality, and cost as they prepare to scale electric air taxi production.
Joby Aviation and Toyota Motor Corporation Launch Initial Phase of a Strategic Manufacturing Alliance to Realize Air Mobility for All

What the joint venture is designed to do

According to the companies, the alliance will initially concentrate on:

  • Establishing the foundation for commercial production capability
  • Advancing manufacturing excellence with an emphasis on productivity, quality, and cost
  • Supporting expansion of Joby’s production capacity as it works toward aircraft certification and prepares for anticipated demand

The announcement positions Toyota’s manufacturing playbook—known globally for lean production and continuous improvement—as a lever to help Joby move from development into repeatable, high-quality output at scale.

Why it matters: eVTOLs need scale, not just flight tests

Electric vertical take-off and landing (eVTOL) aircraft have become one of the most closely watched bets in next-generation transportation, but the path to viable air taxi services depends on more than successful test flights. Certification timelines, supply chain readiness, and the ability to produce aircraft consistently (and affordably) are often what separates promising technology from commercial reality.

By forming a joint venture focused on manufacturing readiness, Joby and Toyota are signaling that the next competitive frontier is industrialization—how quickly and reliably eVTOL aircraft can be built to meet safety standards and market demand.

Related Links for Further reading

  1. Joby Aviation (official): https://www.jobyaviation.com
  2. Joby Investor Relations / News (official updates & filings): https://ir.jobyaviation.com
  3. Toyota Newsroom (official): https://www.toyotanewsroom.com
  4. Toyota Global (corporate overview): https://global.toyota/en
  5. FAA Advanced Air Mobility / Air Taxis (context): https://www.faa.gov/air-taxis

What executives are saying

Joby founder and CEO JoeBen Bevirt emphasized the long-running relationship between the companies, calling the joint venture a reflection of shared confidence in the opportunity ahead.

“Toyota has been by Joby’s side for nearly a decade, providing invaluable guidance and support as we built the foundation for manufacturing our aircraft,” Bevirt said. “Together, we share a vision of making aerial mobility an everyday reality.”

Toyota Motor Corporation Chairman Akio Toyoda framed air mobility as an extension of the company’s broader mission.

“Since our founding, we’ve been guided by the philosophy of providing mobility for all,” Toyoda said, adding that Toyota views air mobility as “a natural extension of that philosophy—from the ground into the sky.”

About the companies

Joby Aviation (NYSE: JOBY) is a California-based transportation company developing an all-electric eVTOL air taxi. The company intends to operate its own air taxi service in cities worldwide and sell aircraft to other operators and partners.

Toyota (NYSE: TM) has operated in North America for nearly 70 years and says it is focused on sustainable, next-generation mobility through Toyota and Lexus brands. Toyota reports nearly 64,000 employees in North America, 14 manufacturing plants, and more than 1,800 dealerships. The company also noted that its North Carolina plant began assembling automotive batteries for electrified vehicles in 2025.

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What to watch for next

For readers tracking the air taxi sector, the next milestones will likely center on:

  • Details on how the joint venture will be structured operationally
  • Updates on Joby’s certification progress and production ramp timelines
  • Signs of how manufacturing improvements translate into cost reductions and throughput
  • Additional agreements or expanded collaboration as the alliance progresses

While the companies highlighted expected benefits, they also noted the usual forward-looking risks—such as regulatory certification timelines, market conditions, and the ability to finalize additional agreements.

Source: Toyota Motor North America / PRNewswire (June 30, 2026)

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Consumer Corner

The Evolution of Retail Technology: Connecting Consumers to Valuable Product Information

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The Evolution of Retail Technology: Connecting Consumers to Valuable Product Information

The Evolution of Retail Technology: Connecting Consumers to Valuable Product Information

(Feature Impact) For more than 50 years, traditional universal product codes (UPCs), better known as barcodes, have automated checkout, powered retail and kept the world’s products moving one scan at a time.

Watch this video to learn more

https://youtube.com/watch?v=AY8cqN2bywc%3Fsi%3Dvcrm9UNE0pVsqI6D%26controls%3D0

Now it’s time for the next chapter. Brands and retailers are transitioning to QR codes powered by GS1 to enhance everyday shopping experiences, unlock more information and empower customers to make informed purchase decisions with a simple smartphone scan – while still going “beep” at the register.

For decades, UPC barcodes simply provided the price of an item, but today’s shoppers are looking for more information. This retail-labeling transformation will include advanced QR codes that unlock information about ingredients, allergens, freshness, product origin, sustainability details, recipes and more. Retailers have set a 2027 target to accept these QR codes at checkout, which can help them better operate and serve their customers in numerous ways, such as preventing recalled products from being sold.

They can also help reduce food waste, save consumers money and help people make smarter purchases by encouraging shoppers to have a richer experience with the products they’re putting in their carts.

Visit gs1us.org/smarter to discover more about the future of shopping and checkout. collect?v=1&tid=UA 482330 7&cid=1955551e 1975 5e52 0cdb 8516071094cd&sc=start&t=pageview&dl=http%3A%2F%2Ftrack.familyfeatures track

   

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GS1 US

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From Hand Signals to Smart Crosswalks: The Evolution of the Modern Pedestrian Signal

Discover the history of the modern pedestrian signal, from Garrett A. Morgan’s groundbreaking traffic signal to today’s smart, accessible crosswalks.

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Last Updated on July 12, 2026 by Daily News Staff

The Evolution of the Modern Pedestrian Signal

Every day, millions of people rely on pedestrian signals to cross busy street safely. A glowing white walking figure, an orange-red hand, and a countdown timer have become familiar sights around the world. While these signals may seem like simple pieces of infrastructure, they are the result of more than a century of innovation, engineering, and public safety improvements.

The modern pedestrian signal did not appear overnight. Instead, it evolved through the contributions of inventors, engineers, city planners, and transportation officials who continually refined traffic control systems as cities grew and automobiles became more common.

The Early Days of Traffic Control

Before electric traffic signals, intersections were controlled by police officers, railway-style semaphores, or even hand signals. As horse-drawn wagons gave way to automobiles in the early 1900s, traffic congestion and accidents increased dramatically, creating an urgent need for better traffic management.

One of the earliest electric traffic lights was installed in Cleveland, Ohio, in 1914. It used red and green lights and was manually operated. While it improved vehicle movement, pedestrians still had to judge for themselves when it was safe to cross.

How the Modern Pedestrian Signal Changed the Way We Cross Streets

Garrett A. Morgan’s Breakthrough

One of the most important milestones came in 1923 when inventor and entrepreneur Garrett Augustus Morgan received U.S. Patent No. 1,475,024 for an improved traffic signal.

Morgan’s design introduced a third position in addition to “Stop” and “Go.” This intermediate phase temporarily stopped traffic in every direction before allowing vehicles to proceed. The brief pause reduced confusion at intersections and provided additional time for pedestrians to cross safely.

Morgan reportedly developed his design after witnessing a serious traffic accident. His invention demonstrated how thoughtful engineering could improve public safety while making increasingly busy streets more efficient.

Although Morgan did not invent the illuminated “WALK” and “DON’T WALK” pedestrian signal used today, his three-position signal became a foundational step in the evolution of modern traffic control.

The Birth of Dedicated Pedestrian Signals

As cities expanded after World War II, pedestrian safety became an even greater concern. More people were walking in increasingly crowded downtown districts, and separating pedestrian movements from vehicle traffic became a priority.

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During the early 1950s, several American cities began experimenting with dedicated pedestrian signals. New York City became one of the first major municipalities to install illuminated “WALK” and “DON’T WALK” signs at busy intersections.

These early systems gave pedestrians their own designated crossing phase, reducing conflicts with turning vehicles and improving safety at some of the nation’s busiest intersections.

Standardization Across America

By the 1960s and 1970s, traffic engineers recognized the importance of creating consistent traffic control devices nationwide.

The Manual on Uniform Traffic Control Devices (MUTCD) established national standards for traffic signs, pavement markings, and pedestrian signals. Standardized designs helped ensure that pedestrians could understand crossing signals regardless of where they traveled in the United States.

Eventually, words gave way to internationally recognized symbols—a walking person to indicate it was safe to cross and an upraised hand to indicate pedestrians should wait. These symbols transcended language barriers and improved accessibility for visitors and non-English speakers.

The Countdown Era

One of the most significant modern improvements arrived with pedestrian countdown timers.

Rather than simply flashing a warning, countdown displays show exactly how many seconds remain before the crossing phase ends. Research has shown that countdown timers help pedestrians make better crossing decisions and improve compliance with traffic signals.

Today, countdown timers have become standard equipment at intersections across much of the United States.

Accessibility Takes Center Stage

Modern pedestrian signals are designed to serve everyone.

Accessible Pedestrian Signals (APS) now provide audible tones, spoken messages, vibrating push buttons, and locator sounds that assist pedestrians who are blind or have low vision. These features allow more people to navigate intersections independently and safely.

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The continued development of accessible technology reflects a broader commitment to making transportation systems inclusive for all users.

The Future of Pedestrian Safety

Pedestrian signals continue to evolve.

Many cities now use smart traffic systems that detect pedestrians waiting to cross, automatically adjust signal timing based on traffic conditions, and prioritize people walking during busy periods.

Researchers are exploring artificial intelligence, connected vehicle technology, and sensor-based systems capable of communicating directly with autonomous vehicles. Future pedestrian crossings may adapt in real time to weather conditions, crowd sizes, emergency vehicles, and even the needs of older adults or individuals with disabilities.

A Legacy Built by Many Innovators

The pedestrian signal we know today is the product of more than a century of collaboration and innovation.

Early traffic engineers created the first electric traffic lights. Garrett A. Morgan improved intersection safety with his groundbreaking three-position traffic signal. Transportation agencies standardized traffic control devices, while engineers continued refining pedestrian technology through countdown timers, accessible features, and intelligent traffic systems.

Every safe crossing today reflects the work of countless inventors, planners, researchers, and public officials dedicated to protecting lives.

As cities continue to grow and transportation technology advances, the humble pedestrian signal remains one of the most effective—and often overlooked—public safety innovations ever developed.

At STM Daily News, we celebrate the inventors, engineers, and visionaries whose everyday innovations quietly improve life for millions of people. Sometimes the most important inventions aren’t the ones that grab headlines—they’re the ones we depend on every single day without giving them a second thought.

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