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The Tesla brand is expected to accelerate EV adoption, supported by investments in charging infrastructure and heightened market excitement.

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In December of 2020, when the world was locked down to prevent the spread of a virus causing Severe acute respiratory syndrome, Pfizer faced a nearly impossible challenge—deliver millions of ultra-cold COVID-19 vaccines across the globe with zero margin for error. In the past, manual temperature checks and paper logs might have left critical blind spots. But this time, things were different. IoT-enabled thermal shipping boxes, equipped with sensors, tracked the temperature and location in real-time. As vaccines moved through a vast, complex distribution network, every deviation was flagged instantly, every alert routed to a centralized dashboard. The result? 99.9% integrity maintained — millions of lives protected.

This is just one example of how the Internet of Things (IoT) is reshaping pharmaceuticals into a responsive, intelligent, and deeply interconnected ecosystem. Sensors in factories, smart labels on packages, wearables on patients—all these devices are now nodes in a vast, digital nervous system. From production to packaging, and from logistics to patient care, IoT is turning reactive systems into proactive ones. Companies like Johnson & Johnson have adopted continuous manufacturing through embedded sensors, streamlining production and slashing batch release times from weeks to mere hours. Merck’s use of AI-integrated sensors has cut vaccine discard rates by detecting process bottlenecks early. Novartis, AstraZeneca, Moderna—the list of pharma giants transforming their operations with IoT grows by the day.

At its core, IoT is a network of physical devices—sensors, trackers, machines, even pill bottles—connected to the internet and capable of exchanging real-time data. In the pharmaceutical context, it means machines that report their status, shipments that broadcast their location and condition, and wearables that share biometric data without delay. These devices form a feedback loop that allows companies to respond instantly, whether that’s fixing a faulty machine, rerouting a delayed shipment, or alerting a doctor to a patient’s health change.

Figure 1: IoT in Action

The need for this transformation is rooted in the past. Pharma, for decades, operated through slow, manual processes. Imagine a factory where quality control involved paper logs and random sampling, missing micro-defects in drug batches. Or consider vaccine shipments where temperature deviations during transit were discovered only after reaching their destination—often too late. In clinical trials, researchers relied on self-reported symptoms and infrequent visits, limiting data quality and participant reach. All this led to high costs, regulatory setbacks, and even drug recalls. Now, sensors embedded in equipment and packages transmit real-time data to AI-powered systems that adjust parameters automatically or trigger alerts. Remote patient monitoring through wearables allows decentralized trials with higher retention, better diversity, and faster insights. AstraZeneca’s decentralized trials, for instance, have cut dropout rates by 35% while enhancing patient engagement.

Smart wearables are pushing this evolution further into the hands—and onto the wrists—of everyday people. Imagine a watch that doesn’t just tell time—it could save your life. Apple Watches today detect falls and can alert emergency services if there’s no response. Fitness trackers monitor heart rate variability, sleep, and oxygen levels, offering early warnings for potential issues. Diabetic patients use discreet, skin-worn glucose monitors that transmit blood sugar data in real-time to their phones. These aren’t just consumer electronics; they’re healthcare enablers, empowering patients and giving doctors access to a stream of accurate, timely data that can inform treatment.

IoT is also making pharmaceuticals safer and more trustworthy. By combining IoT with blockchain, companies are building transparent supply chains where every product’s journey is traceable and tamper-proof. Boehringer Ingelheim’s AI-powered vision systems scan for packaging defects with higher accuracy than any human inspector. Moderna’s use of digital twins and real-time monitoring has slashed quality deviations by over a third. Even energy and resource use are optimized through IoT, helping the industry meet sustainability goals without compromising quality or speed.

This blend of IoT and pharma is enabling better health outcomes on a global scale. Faster development cycles, safer supply chains, and more personalized care models are no longer future promises—they’re happening now. The pharma sector, once characterized by paperwork and guesswork, is transforming into one where data flows uninterrupted and decisions are made in real time. For patients, it means earlier interventions and more effective treatments. For the industry, it means fewer recalls, faster approvals, and stronger trust with regulators and the public.

Figure 2: Leveraging IoT in Patient Treatment and Monitoring

Of course, challenges remain. Data security, legacy system integration, and upfront implementation costs are all valid concerns. But the direction is clear. As the infrastructure matures and expertise spreads, the barriers will continue to fall.

IoT isn’t just a tool—it’s the foundation of a smarter, safer, more responsive pharmaceutical industry. And as companies continue to innovate, the ultimate beneficiaries will be the people: patients receiving better care, faster; families protected from disease; and healthcare systems that can finally shift from reactive to preventive. The future of medicine isn’t just digital. It’s connected.

The post When Pills Can Talk: How IOT is Revolutionizing Pharma from Factory to Patient appeared first on Avalon Consulting.

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As awareness of packaged pet food as a complete diet increases, the market is expected to see strong growth and greater competition, with new entrants and innovative offerings driving the industry forward.

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https://www.pcquest.com/features/how-battery-technology-and-charging-advancements-are-transforming-electric-vehicle-9063642

He highlighted how green technology can tackle key environmental challenges, from cleaner air via EVs to emission cuts, water conservation, and biodiversity protection.

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“Every click, transaction, and digital footprint your customers leave behind is a monetization opportunity—if you know where to look”

What Is Data Exhaust?

Data exhaust refers to the passive, secondary data generated through routine digital interactions—often captured incidentally. This includes clickstreams (the sequence of actions a user takes on a website), IoT sensor logs from smart devices, location records from mobile apps, and metadata from transactions or system events. While this data isn’t part of a company’s core operations, it accumulates rapidly and contains deep insights into customer behaviour, usage patterns, and operational trends.

Yet, what many firms discard as digital noise can be transformed into a strategic asset. Take Mastercard as a leading example: in 2024, the company generated $10.83 billion—over a third of its total revenue—from its Value-Added Services and Solutions segment. This includes anonymized analytics and insights derived from 125+ billion purchase transactions, which are sold to advertisers, retailers, and policymakers. Once considered an operational byproduct, this data exhaust now fuels a growing, high-margin revenue stream—demonstrating the massive, untapped potential hiding in plain sight.

Why This Matters – Data Exhaust as a Critical Asset

In today’s data-driven economy, data exhaust is emerging as a powerful yet underutilized strategic asset. While most organizations analyse only a small portion of their data, research shows that 80% of the most innovative firms actively leverage data for business gains. Industries like banking, financial services, and telecom are leading the way—using aggregated and anonymized data exhaust to enhance customer experience, optimize operations, and support strategic decisions like urban planning.

The potential is massive: the global data monetization market is projected to grow from $375.97 billion in 2025 to $1,632.57 billion by 2034, at a CAGR of 17.72% during the forecast period. As companies invest heavily in data infrastructure—Microsoft is planning to spend $80bn in 2025—unlocking value from data exhaust is not just an opportunity, but a competitive imperative.

Why Companies Fail to Utilize Data Exhaust

Despite its value, many companies struggle to monetize data exhaust due to structural, technological, and strategic barriers:

Overcoming these challenges requires organizational alignment, investment in AI-driven analytics, and consulting expertise to build scalable, compliant monetization models.

How Can You Unlock Revenue from Data Exhaust?

1. Enhance Core Business with Data-Driven Insights

Use behavioural and usage data to improve products and personalize services. For example:

• Insurance: Progressive’s “Snapshot” program uses smartphone telematics to reward safe drivers and now accounts for over 20% of its direct-channel revenue.
• Agriculture: John Deere transformed data from its equipment into a “Precision Farming” subscription service, shifting from one-time sales to recurring revenue.
• Retail: Amazon leverages browsing logs and purchase history to personalize offers and recommendations, significantly reducing customer churn and boosting sales.

Estimates show that the right personalization strategy can lift revenues by 10–15%, and that data-driven operational changes yield 10–25% performance improvements. Treating data exhaust as fuel for R&D and marketing can deliver immediate ROI.

2. Package and Sell Anonymized Data Products

Companies can sell insights derived from aggregated, anonymized client data. For instance:

• Financial services: Mastercard’s Data & Services division sells over 25 products based on 125+ billion purchase transactions, enabling ad targeting and market research.
• Telecom: A Fortune 500 telecom used tower and subscriber data to launch a data marketplace, serving city planners and retailers.

These data products are high margin, require little incremental cost, and comply with privacy laws when properly handled.

3. Innovate Business Models and Services

Data exhaust can enable new offerings and business models:

• Aviation: Rolls-Royce uses jet engine data to offer “power-by-the-hour” maintenance contracts.
• Healthcare: Propeller Health uses sensor data to guide asthma patients, cutting emergency events by 50%—a value proposition that justifies premium pricing.
• Software: One firm monetized telemetry data to detect license misuse, generating $4M in additional revenue.
• Banking: Aggregated transaction data is used for spend analytics and fraud detection tools offered to clients.

By turning data into IP and services, firms unlock new revenue streams and premium pricing opportunities.

How Data Missteps Derail companies: Risks and Repercussions

Industry leaders are increasingly monetizing data exhaust. However, the risks of mismanagement are just as real:

• Silos and lack of coordination can result in initiatives like GM’s OnStar, which faced regulatory scrutiny for sharing driver behaviour data without explicit consent, causing reputational damage and operational restrictions.
• Privacy concerns and inadequate governance were evident when a fitness app’s public heatmap inadvertently exposed sensitive military locations, highlighting the dangers of poor data handling.
• Leadership mindset and insufficient transparency contributed to backlash against a smart speaker brand that used user recordings to train AI without consent, eroding trust and attracting regulatory pressure.
• Lack of a clear monetization strategy led some firms to build costly data lakes that yielded no returns, ending in write-offs and stalled projects.

Successful leaders treat data exhaust as a strategic asset—balancing innovation with governance, transparency, and clear business value.

Action Plan for C-Suite Leaders

To harness data exhaust effectively, executives must take immediate, structured steps:

• Audit and classify data exhaust: Identify all customer and usage data (e.g., web logs, sensor data) that could unlock value.
• Implement governance and privacy safeguards: Anonymize data and comply with regulations. Use data catalogues, encryption, and transparent privacy policies.
• Pilot analytics projects: Form cross-functional teams to test monetization use cases. Start with small wins—like customer journey analytics or personalized offers—and scale success.
• Develop data products and partnerships: Create dashboards or reports for external use. Collaborate with ecosystem partners or join data marketplaces.
• Measure, iterate, scale: Track KPIs such as new revenue, cost savings, and retention impact. Refine the business case and expand successful pilots.

To achieve this, the key enabler is investing in technology and talent by building modern data infrastructure—such as data lakes and real-time analytics—and hiring specialists in AI, data science, and data privacy

Conclusion

Data exhaust is not digital waste—it’s an untapped strategic asset. As data generation surges, the gap widens between firms that act and those that fall behind. C-suite leaders must reframe their mindset: data exhaust must become a core pillar of innovation. The tools and talent are available. What’s needed is urgency. Turning “waste” into wealth could define the winners of the data-first economy.

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