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  • Securing SaaS Ecosystems

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    John Grady

    Organizations have shifted from using a few discrete cloud applications to supporting an entire ecosystem around SaaS. Sanctioned applications, such as Salesforce or Office365, receive most of the attention. Yet when accounting for the third-party application extensions interconnected with these core applications, as well as unsanctioned applications employees use outside the purview of IT and security teams, the picture becomes much broader and more diverse. Because they often house sensitive data, it is critical that security teams ensure applications are properly configured, malware and compromised users are detected, and data is protected, all while controlling access from a range of both internal and third-party users. Yet an abundance of tools claiming to address these challenges has left many security teams unclear as to where to focus their attention.

    To gain further insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 388 IT and cybersecurity professionals at organizations in North America (US and Canada) involved with securing their organization’s SaaS applications.

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  • Streamlining Data Security Posture Management (DSPM) Implementations

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    Todd Thiemann

    DSPM comprises technology and processes that continuously monitor and assess an organization’s data security controls across all infrastructure, including on-premises data centers and private and public cloud environments. Recent data resilience research by TechTarget’s Enterprise Strategy Group revealed some interesting findings when it comes to DSPM solution deployment and top use cases. While DSPM tools are relatively quick to deploy compared to other security technologies, organizations need to consider the people, process and technology when implementing DSPM and ensure they strategically plan an approach that will meet future needs to support scale and innovation, including usage of AI and generative AI (GenAI).

    To learn more, download the free brief, Streamlining Data Security Posture Management (DSPM) Implementations.

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  • Application Modernization and the Role of Platform Engineering

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    Torsten Volk

    This Complete Survey Results presentation focuses on the impacts of microservices, cloud-native application challenges, containers, multi-cluster and multi-namespace deployments, serverless deployments, infrastructure-as-code, open source tools for cloud management and automation, DevOps practices, and platform engineering.

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  • Cisco Nexus Hyperfabric – The Rest of the Story

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    Jim Frey

    Cisco has announced early availability of Cisco Nexus Hyperfabric and the 6000 Series switches, including a scope that goes well beyond what was announced in June for AI clusters. The new Nexus Hyperfabric is much broader and much more revolutionary for Cisco, greatly expanding the types of data center network deployments that can be addressed.

    To learn more, download the free brief, Cisco Nexus Hyperfabric – The Rest of the Story.

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  • Achieving Cyber and Data Resilience: The Intersection of Data Security Posture Management With Data Protection and Governance

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    Jon Brown

    In the face of ransomware and other cybersecurity threats, organizations are concerned with cyber resilience, especially with the resilience of their sensitive data assets. For most organizations, data is a prime asset that drives core business processes, and in many cases, data is the business. Teams face unique challenges in their data resilience initiatives that typically combine data security posture management, data protection (recoverability), and data governance.

    To gain further insight into these trends, TechTarget’s Enterprise Strategy Group surveyed 370 IT professionals at organizations in North America (US and Canada) familiar with and/or responsible for data security, data protection, and data governance technologies in North America (US and Canada). This survey explored the volume and distribution of sensitive data, the most important data to protect, the automation of sensitive data discovery, data classification strategies, data resilience perceptions and strategies, data security posture management strategies, data resilience stakeholders, and spending plans.

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  • The State of the Generative AI Market: Widespread Transformation Continues

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    Mark Beccue

    Generative AI (GenAI) has taken the world by storm since OpenAI introduced ChatGPT in late 2022, and it is widely considered one of the most potentially transformative technologies in many years. However, GenAI technology and the market ecosystem are evolving quickly, and many organizations are struggling to stay abreast of the constantly changing landscape. TechTarget’s Enterprise Strategy Group recently surveyed professionals involved in generative AI initiatives at their organizations to gain insights into these trends.

    To learn more about these trends, download the free infographic, The State of the Generative AI Market: Widespread Transformation Continues.

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  • Private 5G: Inside the Progress and Opportunity

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    Jim Frey

    As the rise of data users continues alongside the rapid proliferation of devices connected to enterprise networks, organizations are seeking ways to modernize their networks. Although advances with Wi-Fi have helped to support more demanding requirements in recent years, organizations are increasingly deploying private 5G networks alongside—or even in place of—traditional Wi-Fi installations. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals involved with cellular or wireless technology and processes to gain insights into these trends.

    To learn more about these trends, download the free infographic, Private 5G: Inside the Progress and Opportunity.

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  • Private 5G: Inside the Progress and Opportunity

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    Jim Frey

    As the rise of data users continues alongside the rapid proliferation of devices connected to enterprise networks, organizations are seeking ways to modernize their networks. Although advances with Wi-Fi have helped to support more demanding requirements in recent years, organizations are increasingly deploying private 5G networks alongside—or even in place of—traditional Wi-Fi installations. The potential benefits of private 5G are vast, ranging from high performance, low latency, and extensive scalability to stronger security, customized deployment and control, and better support for emerging compliance and regulatory requirements.

    However, these potential benefits can come at the expense of numerous challenges as this technology shifts from nascency to the early stages of maturity. To gain further insights into these trends, TechTarget’s Enterprise Strategy Group surveyed 380 network IT professionals involved with cellular or wireless technology and processes at organizations in North America (US and Canada).

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  • The State of the Generative AI Market: Widespread Transformation Continues

    ·

    Mark Beccue

    Generative AI (GenAI) has taken the world by storm since OpenAI introduced ChatGPT in late 2022, and it is widely considered one of the most potentially transformative technologies in many years. However, GenAI technology and the market ecosystem are evolving quickly, and many organizations are struggling to stay abreast of the constantly changing landscape. As this nascent market emerges, organizations continue to seek guidance to help steer their deployments, asking: What are the emerging best practices? Which use cases are prevailing? How mature is the market, and how is this maturity defined? Is it best to build, buy, or partner? The ever-evolving nature of the answers to these questions creates a complex scenario for organizations that want to leverage GenAI technology.

    To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 832 professionals at organizations across the globe involved in the strategy, decision-making, selection, deployment, and management of generative AI initiatives and projects at their organization and familiar with their organization’s use of third parties to support generative AI initiatives.

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  • Oracle Cloud World 2024: A New Era of Multi-cloud and AI Innovation

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    Stephen Catanzano

    Oracle Cloud World 2024 was an impressive showcase of cutting-edge advancements, particularly in the Oracle Database 23ai and artificial intelligence. The event delivered valuable insights and thought leadership, with one announcement standing out as a potential game changer: Oracle’s collaboration with AWS, which came after its announcements with Google Cloud and Microsoft Azure in the past year. This completes the circle and makes Oracle’s Autonomous Database and Oracle Exadata database capabilities available across these platforms. This strategic move is a significant shift for Oracle, enhancing its multi-cloud offerings and opening new opportunities for customers across these cloud ecosystems.

    This multi-cloud expansion holds tremendous benefits for both Oracle customers and those using AWS, Google Cloud, and Microsoft Azure. By making Oracle’s capabilities available, the company is empowering businesses with greater flexibility, enabling them to leverage the power of Oracle’s high-performance cloud solutions while maintaining their existing investments in other cloud providers. This partnership brings enhanced scalability, flexibility, and innovation. This will be particularly valuable for enterprises looking to integrate Oracle’s AI and database capabilities within their diverse cloud infrastructures while also taking advantage of each cloud’s AI capabilities, such as Amazon Bedrock, and easy access to all leading large language models (LLMs). AWS also offers a wide breadth of tools for generative AI development, which Oracle customers can leverage.

    Aside from the multi-cloud announcement, Oracle’s Database 23ai also introduced exciting new functionalities. Two areas of particular interest were the database’s vector capabilities and its ability to handle relational, graph, and document data models. The inclusion of vector search opens the door to more efficient and powerful AI-driven queries, making it easier to analyze and extract insights from large data sets. This is crucial in modern AI applications, where the ability to search and interpret data points quickly can drive better decisions and innovation with vectors offering advanced similarity capabilities.

    Vector databases, or databases with vector search capabilities, are increasingly becoming essential in the modern landscape of AI and machine learning. They enable the efficient processing of unstructured data, such as text, images, and complex data sets. They do this by transforming data into high-dimensional vectors, which can then be analyzed and searched using algorithms that calculate similarity between these vectors. The value of vector capabilities lies in their ability to perform similarity searches and provide contextually relevant results, which are crucial for AI models such as LLMs, image recognition systems, and recommendation engines. For example, in natural language processing applications, vector search can enable AI to find patterns and relationships between words, sentences, or documents based on meaning rather than just keyword matching. This means that AI can respond with more accurate and relevant information in everything from chatbot responses to complex business queries. At Oracle World, some impressive companies, such as PayPal and Deutsche Bank, shared their use of vector similarity capabilities in unique ways, such as vectorizing images and even support tickets to then use vector search to identify similar cases for comparison. This demonstrates vector capabilities beyond just AI use cases.

    For Oracle 23ai users, this translates into more powerful AI-driven solutions that can access and interpret vast amounts of unstructured data. Whether it’s finding relevant documents based on natural language queries, performing image similarity searches, or enhancing recommendation systems, vector search enables faster, more accurate insights. Additionally, it opens the door for better personalization and contextual understanding, which can be game-changing for industries like e-commerce, finance, and healthcare, where precision and relevance are key. In addition, Oracle 23ai’s flexibility to manage relational, graph, and document data in one database is highly valuable to developers and businesses. This unified approach simplifies the management of diverse data types, enabling organizations to harness their data more effectively for AI, machine learning, and advanced analytics. Oracle Cloud World 2024 demonstrated how Oracle pushes the boundaries of database technology and AI innovation while embracing a multi-cloud future.

  • Generative AI in IT Operations: Fueling the Next Wave of Modernization

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    Jon Brown

    In an era when IT operations teams are under tremendous pressure to accelerate processes, enable digital transformation, and reduce the unit cost and environmental impact of compute, AI can be a key enabling technology. Whether through generative AI (GenAI)-based tools, copilots, natural language querying, or advanced usage of causal and predictive AI, IT operations teams have an ever-increasing set of tools available to help them achieve their goals, improve stakeholder satisfaction, and optimize for their important metrics. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals involved with observability, ITSM, and AIOps technologies and processes to gain insights into these trends.

    To learn more about these trends, download the free infographic, Generative AI in IT Operations: Fueling the Next Wave of Modernization.

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  • Navigating Data Governance in the Age of AI

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    Stephen Catanzano

    Data from across organizational frameworks is pouring into AI tools and supportive components like LLMs, spawning increasing scrutiny driven by regulatory, compliance, and corporate governance requirements. To address these challenges, organizations are turning to data governance tools to help them carefully inspect, monitor, and manage data, especially in the face of widespread AI strategies and initiatives. TechTarget’s Enterprise Strategy Group recently surveyed data and IT professionals responsible for evaluating, purchasing, and managing data governance solutions and services to gain insights into these trends.

    To learn more about these trends, download the free infographic, Navigating Data Governance in the Age of AI.

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