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  • The State of IT-driven Sustainability

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    Jon Brown

    As organizations increasingly face societal pressures to make concrete commitments concerning carbon emissions, sustainability has now become a top priority for optimization. While sustainability requirements can pose challenges for organizations of all sizes, these initiatives also present opportunities to improve a wide range of crucial metrics across business ecosystems. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals responsible for evaluating or purchasing technology products and services to gain insights into these trends.

    To learn more about these trends, download the free infographic, The State of IT-driven Sustainability.

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  • Application Modernization and the Role of Platform Engineering

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    Torsten Volk

    Platform engineering is the foundation of digital transformation success, as this discipline directly impacts an organization’s ability to rapidly, continuously, and cost effectively deliver high-quality software in anticipation of and response to complex and dynamic market requirements. Today’s landscape of cloud-native tools, technologies, infrastructure resources, and application development paradigms ultimately defines optimal platform engineering strategies, but executing those strategies is often a complex and highly demanding task. TechTarget’s Enterprise Strategy Group recently surveyed application developers and IT professionals to gain insights into these trends.

    To learn more about these trends, download the free infographic, Application Modernization and the Role of Platform Engineering.

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  • Code Transformed: Tracking the Impact of Generative AI on Application Development

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    Jon Brown

    Cloud-native DevOps and platform engineering are key enablers of digital transformation at scale. With the advent and aid of generative AI (GenAI), organizations can significantly improve the maintenance, monitoring, and automation of their environments alongside the steady presence of data growth. As development platforms evolve to support more diverse tools, development teams and their collaborative internal stakeholders are reassessing their methods to ensure GenAI led improvements stay in line with larger corporate goals and policies. TechTarget’s Enterprise Strategy Group recently surveyed IT and application development professionals to gain insights into these trends.


    To learn more about these trends, download the free infographic, Code Transformed: Tracking the Impact of Generative AI on Application Development.

    Download Now

  • The State of IT-driven Sustainability

    ·

    Jon Brown

    As organizations increasingly face societal pressures to make concrete commitments concerning carbon emissions, sustainability has now become a top priority for optimization. New tools, data creation technologies, and third-party data sources are helping make estimations of emissions more available, accurate, and reliable, just in time for rapidly rising growth in AI and other digital transformation initiatives that drive new demands to expand data usage. But while sustainability requirements can pose challenges for organizations of all sizes, these initiatives also present opportunities to improve a wide range of crucial metrics across business ecosystems.

    To gain insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 435 IT professionals at organizations in North America (US and Canada), Western Europe (UK, France, and Germany), and APJ (Australia, New Zealand, Singapore, and Japan) responsible for evaluating or purchasing technology products and services.

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  • Application Modernization and the Role of Platform Engineering

    ·

    Torsten Volk

    Platform engineering is the foundation of digital transformation success, as this discipline directly affects an organization’s ability to rapidly, continuously, and cost-effectively deliver high-quality software in anticipation of and in response to complex and dynamic market requirements. Today’s landscape of cloud-native tools, technologies, infrastructure resources, and application development paradigms ultimately define optimal platform engineering strategies, but executing those strategies is often a complex and highly demanding task for organizations across all sizes and industries.

    To address these challenges, organizations are turning to platform engineering tools and best practices to accelerate and optimize the process of designing, building, and managing scalable and secure self-service platforms and workflows to optimize developer productivity. To gain further insights into these trends, TechTarget’s Enterprise Strategy Group surveyed 376 application developers and IT professionals at organizations in North America (US and Canada) involved with or responsible for using, evaluating, implementing, and managing platform engineering solutions and practices.

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  • Code Transformed: Tracking the Impact of Generative AI on Application Development

    ·

    Jon Brown

    Cloud-native DevOps and platform engineering are key enablers of digital transformation at scale. With the advent and aid of generative AI (GenAI), organizations can significantly improve the maintenance, monitoring, and automation of their environments alongside the steady presence of rapid data growth. As development platforms evolve to support more diverse tools, development teams and their collaborative internal stakeholders are reassessing their methods, policies, and strategies to identify areas for optimization and ensure GenAI-led improvements stay in line with larger corporate goals and policies.

    To gain further insight into the current status and near future of AI in application development, TechTarget’s Enterprise Strategy Group surveyed 325 IT and application development professionals at organizations in North America (US and Canada) involved with AI technology and processes, including generative AI.

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  • Industries Prepare for GenAI Transformation in IT Operations

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    Jon Brown

    Under nearly universal mandates to accelerate IT operations, organizations across industries are turning to AI and GenAI to help automate processes, streamline knowledge management, and more. Recent research by TechTarget’s Enterprise Strategy Group discovered that different industries have diverse priorities and expectations for AI’s potential in these regards.

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  • AI Integration in IT Operations Brings Promise and Concerns for Midmarket Organizations

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    Jon Brown

    With data now at the forefront of practically every modern business strategy, IT operations teams carry a massive responsibility to ensure the proper infrastructure is in place to deliver that data to stakeholders with high levels of availability, performance, and security. Recent research by TechTarget’s Enterprise Strategy Group shows that while this burden is consistent across all organization sizes, teams tend to face different requirements depending on the scope of their employee base.

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  • Modernizing Application Security to Scale for Cloud-native Development

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    Melinda Marks

    This Complete Survey Results presentation focuses on application development trends driving the need to modernize associated cybersecurity programs, including the top challenges and incidents that application security teams have experienced with their current tools and processes.

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  • Pure Aims to Reinvent File Storage for the Modern Era With Real-time Enterprise File

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    Simon Robinson

    Pure Storage has unveiled Real-time Enterprise File, a wide-ranging software update to its storage platform that enables IT organizations to better respond to the realities of managing modern file storage supporting demanding workloads such as AI, analytics, and VDI. The update is designed to enable customers to more quickly respond to changing application demands in real time, while reducing total cost of ownership.

    Download Now

  • Simplifying Security Operations via Tool Consolidation

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    Dave Gruber

    It is a messy state of affairs when the tools purchased in support of security operations add excessive management overhead, stealing precious time away from the limited skilled security personnel that are so important to the overall security agenda. Recent research by TechTarget’s Enterprise Strategy Group found that security operations are continuing to become more difficult and are often made more so by an overabundance of point tools that burden cybersecurity staff with complexity. Consolidation initiatives are underway for most, but as IT innovations spur the need for new security tools, security leaders face a conundrum about how to get out of this cycle of complexity.

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  • Streamlining Security Operations With Generative AI

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    Dave Gruber

    Virtually every business line is exploring and investing in generative AI (GenAI) to gain operational and competitive advantage. The realm of cybersecurity is no different, where security leaders are investing in GenAI to gain efficiencies in security operations (SecOps) in hopes of outmaneuvering their criminal adversaries—who are also likely pushing the limits of what GenAI can do to help achieve their means. Recent research by TechTarget’s Enterprise Strategy Group revealed that SecOps is ripe with opportunity for the use of GenAI, especially for organizations with certain characteristics.

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