Tag: QltechDubai

The Future of Third-Party Cookie Tracking

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Third-party cookies have been the backbone of digital advertising, allowing businesses to track users across websites for targeted ads. However, growing privacy concerns and regulatory changes (like GDPR and CCPA) are pushing tech giants to phase them out.

  • Google Chrome, which dominates ~65% of the browser market, plans to eliminate third-party cookies by late 2024.
  • Apple’s Safari and Mozilla Firefox already block third-party cookies by default.
  • Regulations like GDPR require explicit user consent for tracking, making cookie-based targeting harder.

    • Why the Shift? Privacy Takes Center Stage Consumers are more aware of data privacy than ever: 72% of users feel that almost all of their online activity is tracked (Pew Research). 86% are concerned about data privacy (Cisco 2023). Tech companies are responding by prioritizing user-first privacy policies, pushing advertisers to find new ways to reach audiences.

    What’s Replacing Third-Party Cookies?

  • First-Party Data –Brands will rely more on direct customer data (emails, purchases, website behavior) with user consent.
  • Google’s Privacy Sandbox –A new set of APIs (like Topics API) that allow interest-based advertising without individual tracking.
  • Contextual Advertising –Ads placed based on webpage content rather than user behavior (e.g., showing sports gear on a fitness blog). AI & Predictive Modeling – Machine learning helps predict user interests without invasive tracking.
  • What Does This Mean for Marketers?- Less reliance on cross-site tracking, more focus on building trust. First-party data collection (newsletters, loyalty programs) will be crucial. Contextual and cohort-based ads will gain traction over hyper-targeted ads.

    • Final Thoughts

Businesses that adapt by leveraging first-party data and ethical tracking methods will thrive, while those stuck in old practices may struggle.
Privacy is the future—prepare now by shifting strategies toward transparency.

AI-Powered IT Ops: Top Tools for Automated Monitoring

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IT operations are getting smarter with AI-driven monitoring tools that predict outages, optimise performance, and slash downtime.

    Here are the top AI-powered IT Ops tools for automated monitoring:

  • 1. Dynatrace

    • AI Engine: Davis AI (causal AI), Key Feature include automatic root-cause analysis with 99.9% accuracy.

  • 2. Splunk IT Service Intelligence (ITSI)

    • AI Engine has machine Learning & Anomaly Detection. Key Features include Predictive alerts before outages happen.

  • 3. Datadog

    • AI Engine: Watchdog (ML-based anomaly detection)
    Key Feature: Automated log correlation & incident forecasting.

  • 4. New Relic AI Engine

    • has Applied Intelligence with Key Features like self-healing recommendations for performance issues.

  • 5. PagerDuty Operations Cloud

    • Equipped with machine learning for Incident Response and its Key Features include smart alert grouping & automated escalation.

    The Future?
    Autonomous AI agents will soon self-heal IT systems with zero human input.

Which tool fits your IT needs? Let us know in the comments!
👇 #AIOps #ITAutomation #TechTrends2024

Kotlin Multiplatform: The Future of Shared Codebases?

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The dream of writing code once and running it everywhere has driven cross-platform frameworks like Flutter and React Native. But Kotlin Multiplatform (KMP) takes a different approach—sharing business logic while keeping native UIs. Could this be the perfect balance between efficiency and performance?

  • Why KMP is Gaining Momentum

    • 🔹True Native Performance – No virtual machines or interpreters; compiles directly to native binaries.
    🔹Selective Code Sharing – “>Share business logic (networking, databases, analytics) but keep platform-specific UI native.
    🔹Kotlin Everywhere – Use the same language for Android, iOS (via Kotlin/Native), and even backend (Ktor).
    🔹JetBrains & Google Backing – Strong corporate support with growing tooling (Compose Multiplatform, KSP).

  • Where It Shines (and Stumbles)

    • ✅ Best for:
    🔹Teams already using Kotlin for Android
    🔹Apps where performance is critical (e.g., finance, IoT)
    🔹Projects needing gradual adoption (mix shared + native code)

  • ⚠ Challenges:

    • 🔹iOS devs may resist Kotlin (Swift is still king)
    🔹Smaller ecosystem than Flutter/React Native
    🔹Debugging can be tricky across platforms

  • Who’s Betting on KMP?

    • 🔹Netflix (for cross-platform plugins)
    🔹McDonald’s (in-store kiosk apps)
    🔹Cash App (shared business logic)

The Verdict
KMP isn’t a “Flutter killer,” but it’s a game-changer for teams prioritizing performance and code reuse. As Kotlin/Native matures, it could become the gold standard for shared codebases.