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  • Address 3 central performance engineering challenges with browser-based testing

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    Address 3 central performance engineering challenges with browser-based testing

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    If your page takes longer than 6 seconds to load, you can expect 50% of users to abandon it. As browser-based applications grow more sophisticated, more web elements contribute to your enduser’s experience – and what could be slowing it down.

    Accurately measuring end-user response time is increasingly critical to customer growth and retention – and it can’t be achieved with protocol-based testing alone. A holistic approach can improve the effectiveness of your overall performance testing strategy and help you overcome common challenges.

    Read this white paper to learn how to:

    • Differentiate between end-user and transaction response time
    • Overcome the scale limitations of protocol-based testing without breaking the bank
    • Test complex, dynamic browser applications on a tight timeline

    Please complete the form to access/download the content

    0B49F7-Tricentis USA Corp.-Tricentis Q126 qTest UKI-Linked-108.6 – Address 3 central performance

  • 4 ways generative Al will transform the way you manage testing

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    4 ways generative Al will transform the way you manage testing

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    With the rise of generative Al in the last 18 months, organizations on every level have seen deep opportunities to improve their IT processes from a rapidly growing number of new tools. According to recent research from McKinsey, nearly 25% of C-suite executives are personally using generative Al tools for work, and more than 25% of companies using Al say generative Al is already on their boards’ agendas for the upcoming year.

    Generative Al, and what it can help software delivery teams accomplish, is evolving fast. That makes it important for everyone whose role touches quality engineering to understand the implications for how software is built and tested.

    In this guide, we’ll share four ways generative Al can boost your IT and quality engineering teams’ testing efficiency and how test management will evolve as a result, namely by:

    • Accelerating test case generation
    • Scaling test coverage
    • Tailoring test plans
    • Analyzing and improving test case libraries

    Please complete the form to access/download the content

    0B49F7-Tricentis USA Corp.-Tricentis Q126 qTest UKI-Linked-108.6 – 4 ways generative Al will

  • Seller Paid – Integrate – Post-Holiday Playbook – Q1 2026

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    Post-Holiday Playbook

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    Returns, excess, and obsolete inventory are quietly tying up working

    capital, warehouse space, and organizational focus. Leading enterprise

    brands are rethinking how recovery fits into their financial models,

    supply chain operations, and long-term strategy — and those that don’t

    risk falling behind.

    In this guide, you’ll learn:

    • How top retailers and brands are improving recovery and

    predictability without adding operational complexity

    • Why fragmented resale processes create hidden cost, risk, and

    execution drag

    • What data-driven, centralized recommerce looks like at enterprise

    scale

    • How finance, supply chain, and strategy teams are aligning around

    recovery as a repeatable capability, not a one-off fix

    Download the guide to see what high-performing enterprise teams are

    doing differently — and how recommerce is evolving into a core part of

    modern retail operations.

    Please fill out the form below to access the content:

    D7E7DC-Seller Paid – Integrate – Post-Holiday Playbook – Q1 2026

  • Seller Paid – Integrate – GameStop Infographic – Q1 2026

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    GameStop Infographic

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    Running a high-volume consumer electronics resale program with

    limited resources is possible — if your processes are airtight.

    In this new infographic, GameStop’s VP of Pre-Owned, Product

    Manager, and Refurbishment Operations Manager walk through the

    operational playbook behind their lean resale operation. They share how

    automation, in-store grading enhancements, and API-driven resale

    integration helped them reduce errors, increase throughput, and

    streamline lotting and listing on B-Stock.

    If your team owns trade-in, device processing, reverse logistics, or

    secondary market resale, this real-world breakdown offers a practical

    blueprint for driving accuracy and profitability at scale.

    Please fill out the form below to access the content:

    0D5C06-Seller Paid – Integrate – GameStop Infographic – Q1 2026

  • Seller Paid – Integrate – Large Discounters Brochure – Q1 2026

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    Large Discounters Brochure

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    Excess inventory and returns are no longer just an operational

    headache; they’re a profitability risk. With market disruptions,

    evolving consumer behavior, and shrinking margins, relying on a

    single resale channel puts brands and retailers at risk of lost

    revenue and weakened brand control. The future belongs to

    those who diversify by unlocking multiple resale channels to drive

    higher recovery, accelerate sales cycles, and safeguard long-

    term brand value.

    Download this brochure to see how leading apparel and footwear

    enterprises are transforming excess inventory from a liability into

    a strategic advantage

    Please fill out the form below to access the content:

    97EC94-Seller Paid – Integrate – Large Discounters Brochure – Q1 2026

  • EAD4A1-Agentic Research Webinar

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    Agentic Research Webinar

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    Life sciences R&D teams are drowning in data, and GenAI isn’t

    built for the precision and specialization these research teams

    require.

    Causaly’s agentic research changes this. Using multi-

    autonomous AI agents purpose-built for life sciences, Causaly

    can automate up to 80% of your research workflows while

    achieving 93% accuracy on biomedical claims. Helping teams

    reduce risk, avoid costly rework, and drive measurable ROI.

    Watch the webinar to see Causaly in action and discover how it

    can help you break through your own R&D challenges.

    Please fill out the form below to access the content:

    EAD4A1-Agentic Research Webinar

  • EAD4A1-Discover How Agentic AI Can Fuel Scientific Discoveries

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    Discover How Agentic AI Can Fuel Scientific Discoveries

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    Causaly is the only platform that combines advanced AI, a high-

    precision knowledge graph, and frictionless adoption, enabling life

    sciences organizations to reduce risk and increase R&D

    productivity at scale.

    Please fill out the form below to access the content:

    EAD4A1-Discover How Agentic AI Can Fuel Scientific Discoveries

  • Discover How Agentic AI Can Fuel Scientific Discoveries

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    Discover How Agentic AI Can Fuel Scientific Discoveries

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    Causaly is the only platform that combines advanced AI, a high-

    precision knowledge graph, and frictionless adoption, enabling life

    sciences organizations to reduce risk and increase R&D

    productivity at scale.

    Please fill out the form below to access the content:

    Discover How Agentic AI Can Fuel Scientific Discoveries

  • Agentic Research Webinar

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    Agentic Research Webinar

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    Life sciences R&D teams are drowning in data, and GenAI isn’t

    built for the precision and specialization these research teams

    require.

    Causaly’s agentic research changes this. Using multi-

    autonomous AI agents purpose-built for life sciences, Causaly

    can automate up to 80% of your research workflows while

    achieving 93% accuracy on biomedical claims. Helping teams

    reduce risk, avoid costly rework, and drive measurable ROI.

    Watch the webinar to see Causaly in action and discover how it

    can help you break through your own R&D challenges.

    Please fill out the form below to access the content:

    Agentic Research Webinar

  • The Ultimate Guide to Data + AI for Industries 2026

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    The Ultimate Guide to Data + AI for Industries 2026

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    From hype to business value: Navigating data, gen AI and AI agents

    AI is transforming every major industry, and its potential use cases are vast. Research shows that for organizations seeking increased efficiency, improved customer experience, reduced costs and more, AI delivers value. In this guide, we explore myriad ways that organizations are leveraging data and AI to drive success. Here are just a few examples:

    Healthcare: Use vast patient datasets to reveal patterns, predict health outcomes and enable more precise diagnoses.

    Financial services: Rapidly analyze extensive market data to identify emerging trends.

    Retail: Transform customer data into highly personalized shopping journeys, boosting customer satisfaction and fostering lasting loyalty.

    Public sector: Enhance the ability to predict disease outbreaks and disaster impacts, facilitating the swift and accurate deployment of emergency services.

    Manufacturing: Employ AI-driven visual inspection systems to detect unusual patterns and deviations in production.

    Advertising, media and entertainment: Extract deep insights from unstructured data to pinpoint customer behaviors, sentiments and trends, for highly personalized and timely experiences for audiences.

    Telecommunications: Proactively identify and resolve network issues and service disruptions to enhance service quality, reliability and operational efficiency, with the ultimate goal of moving toward autonomous network management.

    Download the ebook for a deep dive into each industry, how they’re using AI and the future of AI agents.

    Please fill out the form below to access the content:

    C44620 – Snowflake FY25Q4 EMEA DT Campaign Linked-108.6 – The Ultimate Guide to Data + AI for Industries 2026