Modernizing Data Platforms for AI/ML and Gen AI

Organizations everywhere are hitting a critical inflection point — traditional Hadoop environments can’t keep up with the demands of AI, ML, and GenAI. Fragmented architectures, rising costs, and complex maintenance cycles are slowing innovation.

It’s time to modernize.

In this new white paper, Modernizing Data Platforms for AI/ML and Gen AI, you’ll discover:

  • Why Hadoop requires up to 20x more CPU resources and 10–15x more energy than modern alternatives.
  • How Teradata Vantage unifies data and analytics into one platform—reducing staffing needs by up to 90%.
  • The roadmap to migrate from Hadoop to a scalable, AI-ready analytics ecosystem.

  • How integrated ClearScape Analytics® brings advanced AI and ML capabilities directly into your data platform.

Modernization isn’t just about performance — it’s about positioning your business for the AI-driven future.

Get Whitepaper

Modernizing Data Platforms for AI/ML and Gen AI

Organizations everywhere are hitting a critical inflection point — traditional Hadoop environments can’t keep up with the demands of AI, ML, and GenAI. Fragmented architectures, rising costs, and complex maintenance cycles are slowing innovation.

It’s time to modernize.

In this new white paper, Modernizing Data Platforms for AI/ML and Gen AI, you’ll discover:

  • Why Hadoop requires up to 20x more CPU resources and 10–15x more energy than modern alternatives.
  • How Teradata Vantage unifies data and analytics into one platform—reducing staffing needs by up to 90%.
  • The roadmap to migrate from Hadoop to a scalable, AI-ready analytics ecosystem.

  • How integrated ClearScape Analytics® brings advanced AI and ML capabilities directly into your data platform.

Modernization isn’t just about performance — it’s about positioning your business for the AI-driven future.

Get Whitepaper

Does Your DEM Strategy Connect All the Dots?

Comprehensive DEM

Imagine a world where digital experiences are always on, performing flawlessly and able to handle any business situation. That world is in reach with a more comprehensive DEM that’s able to capture and integrate critical data from across your tech stack, identify where and why issues are happening, and help you fix them before they impact the relationships you’ve worked so hard to build with your users.

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AI-Powered DEM: Bring Greater Intelligence to Every Digital Experience

Propel your business forward with AI-powered DEM

The most successful businesses are using AI-powered digital experience monitoring (DEM) capabilities to revolutionize how they manage their digital ecosystems. This leads to improved customer experiences from: Faster onboarding, efficient incident management, continuous optimization and everything in between.

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AI Unwrapped 2025 Impact Report

Shipping code is only half the battle.

Without robust observability (the comprehensive logs, metrics, and traces that reveal precisely how systems are behaving in real-time), even the most brilliant applications become opaque, unreliable black boxes at scale. As artificial intelligence moves from speculative promise to foundational technology, we’re seeing the same critical lesson emerge.

View Now

Does Your DEM Strategy Connect All the Dots?

Comprehensive DEM

Imagine a world where digital experiences are always on, performing flawlessly and able to handle any business situation. That world is in reach with a more comprehensive DEM that’s able to capture and integrate critical data from across your tech stack, identify where and why issues are happening, and help you fix them before they impact the relationships you’ve worked so hard to build with your users.

View Now

AI-Powered DEM: Bring Greater Intelligence to Every Digital Experience

Propel your business forward with AI-powered DEM

The most successful businesses are using AI-powered digital experience monitoring (DEM) capabilities to revolutionize how they manage their digital ecosystems. This leads to improved customer experiences from: Faster onboarding, efficient incident management, continuous optimization and everything in between.

View Now

AI Unwrapped 2025 Impact Report

Shipping code is only half the battle.

Without robust observability (the comprehensive logs, metrics, and traces that reveal precisely how systems are behaving in real-time), even the most brilliant applications become opaque, unreliable black boxes at scale. As artificial intelligence moves from speculative promise to foundational technology, we’re seeing the same critical lesson emerge.

View Now

How Greif Recovered 20% of Lost Production Time with Accurate Roll Change Tracking

Greif, a global leader in industrial packaging, faced persistent challenges in reducing roll change times despite investing in operational excellence initiatives. Roll changes, which accounted for 20% of lost production time, continued to exceed the targeted two-minute window, often taking 15 minutes or more. Manual tracking methods failed to capture the root of the issue—until Shoplogix introduced a smart, simple solution.

The Challenge:

  • Roll changes were consuming up to 15 minutes, well beyond the two-minute target.
  • Manual data collection didn’t capture the true scope of the inefficiencies.
  • Despite consulting support, the issue remained unresolved, affecting production goals and leading to costly overtime.

The Solution:

  • A simple switch was added to the roll mandrel to track roll change times automatically.
  • Real-time alerts were set up to notify the team when the two-minute target was exceeded.
  • Data integration into existing systems enabled continuous monitoring and analytics.

The Results:

  • Roll change times were reduced to under two minutes consistently.
  • 20% of previously lost production time was recovered.
  • Operational visibility improved, enabling the team to manage and sustain performance gains.
  • Greif was finally able to hold the gains, not just get them.

Key Takeaways for Manufacturers:

  • Simple, smart connectivity can uncover and resolve hidden inefficiencies.
  • Accurate, real-time data is essential for sustaining improvements.
  • Small hardware enhancements, when paired with integrated analytics, can lead to significant operational gains.

View Now

How Coveris Transformed Production with Real-Time Insights from Shoplogix

Coveris, a leading European packaging manufacturer, faced challenges with setup inconsistencies and limited visibility into production issues at their Louth plant. By implementing Shoplogix’s OneSignal, they unlocked powerful real-time insights that quickly drove operational improvements.

Key Challenges:

  • Inconsistent setups across 5 printing presses and 17 job changes per day
  • Increased scrap, reduced run speeds, and missed production targets
  • Lack of visibility into root causes of inefficiencies

The Shoplogix Solution:

  • Connected machines in just 1 day (vs. over a month with a competitor)
  • Delivered real-time data on key metrics like scrap, setup time, and run speed
  • Identified inefficiencies in:
    • Mechanical setup
    • Registration
    • Final adjustments

Results & Business Impact:

  • 10% reduction in setup waste, saving £800,000 annually
  • 16% increase in run speed, boosting revenue by £340,000
  • 9% improvement in OEE, raising plant-wide productivity

Why It Matters for Manufacturers:

This case shows how fast, cost-effective smart connectivity can help manufacturers:

  • Gain instant visibility into performance issues
  • Standardize processes and reduce variability
  • Make data-driven decisions that improve efficiency, reduce waste, and increase profitability

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How Magna Uncovered Hidden Inefficiencies and Saved $520K with Shoplogix

Even in facilities with mature continuous improvement (CI) practices, hidden inefficiencies can go undetected, costing time and money. Magna International, a leading global automotive parts manufacturer, faced a puzzling productivity gap despite optimized machine performance and seemingly minimal downtime.

The Challenge:

Magna’s CI team suspected inefficiencies during shift transitions and breaks but lacked the granular data to verify it.

The Solution:

After implementing Shoplogix, detailed loss analytics revealed an unexpected cause: employees waiting to use microwaves during breaks, leading to production delays.

Key Results for Magna:

  • 70% reduction in break and shift transition delays
  • $520,000 in annual savings
  • Enhanced visibility into previously undetectable production losses
  • Empowered CI teams to take targeted, data-driven action
Takeaway for Manufacturers:

Even the most minor inefficiencies can have a major financial impact. With Shoplogix’s real-time analytics, manufacturers can identify hidden production barriers, drive engagement, and turn overlooked issues into significant savings.

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How Greif Recovered 20% of Lost Production Time with Accurate Roll Change Tracking

Greif, a global leader in industrial packaging, faced persistent challenges in reducing roll change times despite investing in operational excellence initiatives. Roll changes, which accounted for 20% of lost production time, continued to exceed the targeted two-minute window, often taking 15 minutes or more. Manual tracking methods failed to capture the root of the issue—until Shoplogix introduced a smart, simple solution.

The Challenge:

  • Roll changes were consuming up to 15 minutes, well beyond the two-minute target.
  • Manual data collection didn’t capture the true scope of the inefficiencies.
  • Despite consulting support, the issue remained unresolved, affecting production goals and leading to costly overtime.

The Solution:

  • A simple switch was added to the roll mandrel to track roll change times automatically.
  • Real-time alerts were set up to notify the team when the two-minute target was exceeded.
  • Data integration into existing systems enabled continuous monitoring and analytics.

The Results:

  • Roll change times were reduced to under two minutes consistently.
  • 20% of previously lost production time was recovered.
  • Operational visibility improved, enabling the team to manage and sustain performance gains.
  • Greif was finally able to hold the gains, not just get them.

Key Takeaways for Manufacturers:

  • Simple, smart connectivity can uncover and resolve hidden inefficiencies.
  • Accurate, real-time data is essential for sustaining improvements.
  • Small hardware enhancements, when paired with integrated analytics, can lead to significant operational gains.

View Now

How Coveris Transformed Production with Real-Time Insights from Shoplogix

Coveris, a leading European packaging manufacturer, faced challenges with setup inconsistencies and limited visibility into production issues at their Louth plant. By implementing Shoplogix’s OneSignal, they unlocked powerful real-time insights that quickly drove operational improvements.

Key Challenges:

  • Inconsistent setups across 5 printing presses and 17 job changes per day
  • Increased scrap, reduced run speeds, and missed production targets
  • Lack of visibility into root causes of inefficiencies

The Shoplogix Solution:

  • Connected machines in just 1 day (vs. over a month with a competitor)
  • Delivered real-time data on key metrics like scrap, setup time, and run speed
  • Identified inefficiencies in:
    • Mechanical setup
    • Registration
    • Final adjustments

Results & Business Impact:

  • 10% reduction in setup waste, saving £800,000 annually
  • 16% increase in run speed, boosting revenue by £340,000
  • 9% improvement in OEE, raising plant-wide productivity

Why It Matters for Manufacturers:

This case shows how fast, cost-effective smart connectivity can help manufacturers:

  • Gain instant visibility into performance issues
  • Standardize processes and reduce variability
  • Make data-driven decisions that improve efficiency, reduce waste, and increase profitability

View Now

CI Playbook for Modern Manufacturers Unlocking Hidden Opportunities to Accelerate Continuous Improvement

Continuous Improvement (CI) Managers in manufacturing are under constant pressure to optimize performance, reduce costs, and increase throughput. However, many improvement efforts fall short—not because of a lack of effort, but because they focus on the wrong issues, rely on outdated data, or struggle to engage frontline teams.

This playbook outlines how manufacturers can overcome these barriers by using real-time, machine-level insights to identify true root causes, engage operations, and unlock hidden capacity.

Key Takeaways for Manufacturers:

Solve What Really Matters

  • Avoid wasting resources on the most visible—but not necessarily the most impactful—problems
  • Identify hidden performance drains like speed loss and micro-stoppages
  • Prioritize initiatives based on real-time impact, not assumptions

Replace Assumptions with Accurate Data:

  • ERP targets and spreadsheets often mask inefficiencies
  • Use Top Historical Speed (THS) to uncover true machine potential
  • Set smarter standards and detect speed variability early

Engage Operators in the CI Journey

  • Lack of frontline engagement can stall even the best strategies
  • Empower operators with visual tools, feedback loops, and performance visibility
  • Make CI a collaborative effort between leadership and operations

Results You Can Expect:

Reclaim thousands of production hours

  • Optimize job speeds and eliminate unnecessary slowdowns
  • Increase output—without investing in new equipment
  • Build a continuous improvement culture grounded in transparency and accountability

View Now

How Coveris Transformed Production with Real-Time Insights from Shoplogix

Coveris, a leading European packaging manufacturer, faced challenges with setup inconsistencies and limited visibility into production issues at their Louth plant. By implementing Shoplogix’s OneSignal, they unlocked powerful real-time insights that quickly drove operational improvements.

Key Challenges:

  • Inconsistent setups across 5 printing presses and 17 job changes per day
  • Increased scrap, reduced run speeds, and missed production targets
  • Lack of visibility into root causes of inefficiencies

The Shoplogix Solution:

  • Connected machines in just 1 day (vs. over a month with a competitor)
  • Delivered real-time data on key metrics like scrap, setup time, and run speed
  • Identified inefficiencies in:
    • Mechanical setup
    • Registration
    • Final adjustments

Results & Business Impact:

  • 10% reduction in setup waste, saving £800,000 annually
  • 16% increase in run speed, boosting revenue by £340,000
  • 9% improvement in OEE, raising plant-wide productivity

Why It Matters for Manufacturers:

This case shows how fast, cost-effective smart connectivity can help manufacturers:

  • Gain instant visibility into performance issues
  • Standardize processes and reduce variability
  • Make data-driven decisions that improve efficiency, reduce waste, and increase profitability

View Now