Insight
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The data products market is experiencing rapid expansion, driven by the increasing need for organizations to leverage their data for AI, analytics, and business intelligence (BI) initiatives. AI initiatives, including AI agents, require more than raw data; they require packaged solutions that deliver actionable insights. Domo is a key innovator in this space, offering a platform that enables businesses to build sophisticated data products and AI agents. The Domo platform empowers users to create data-driven applications and visualizations, facilitating informed decision-making and driving business growth in an increasingly data-centric world.
To learn more, download the free brief, Domo Drives AI Success With Data Products and AI Agents.
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The rapid rise of generative AI (GenAI) applications has created an urgent demand for modern data platforms capable of supporting diverse, complex, and high-volume data requirements. Organizations are increasingly turning to converged databases that can efficiently manage structured, semi-structured, and unstructured data in a unified environment. Oracle Database 23ai addresses this need by providing a comprehensive, mission-critical solution. By consolidating all data types and AI development capabilities into a single platform, Oracle empowers organizations to accelerate generative AI initiatives while ensuring data security, governance, and operational efficiency. At the recent Oracle Database Analyst Summit, several Oracle executives presented the latest innovations while customers shared how they use Oracle technology to support AI initiatives. We find that Oracle’s strategy aligns closely with our analysis of the role of databases in the generative AI market.
To learn more, download the free brief, Oracle Database 23ai Unifies Data for Generative AI.
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Security operations (SecOps) is a mainstay of modern security programs. Once focused on reactive, alert-driven activities, today’s security operations have expanded to a risk mitigation function, inclusive of both proactive and reactive strategies like threat detection, response, and recovery. With such a broad scope of responsibility, it’s no surprise that the number and complexity of systems and technologies involved continue to grow, heavily influenced by the more recent explosion of generative AI (GenAI) adoption. TechTarget’s Enterprise Strategy Group recently surveyed IT and cybersecurity professionals to gain insights into these trends.
To learn more, download the free infographic, The Future of SecOps in an AI-driven World.
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SecOps is a mainstay of modern security programs. Once focused on reactive, alert-driven activities, today’s SecOps has expanded to a risk mitigation function, inclusive of both proactive and reactive strategies like security posture management, core security controls optimization and tuning, detection and response, and recovery in the event of a harmful cyberattack. This expanded agenda has also increased collaboration with other functions, including risk management, IT, OT, software development and engineering, supply chain management, and more. With such a broad scope of responsibility, it’s no surprise that the number and complexity of systems and technologies involved continue to grow, heavily influenced by the more recent explosion of GenAI adoption.
Despite all of this, for the first time in the past five years, this research indicates that the scales are tipping, as more organizations reported this year that SecOps is getting easier. This improvement is fueled by three industry mega-trends: tool consolidation, the application of GenAI within SecOps, and the effectiveness of XDR solutions.
To gain further insights into these mega-trends and other developments in the security operations space, Enterprise Strategy Group surveyed 366 IT and cybersecurity professionals at large midmarket and enterprise organizations in North America (U.S. and Canada) involved with security operations technology and processes.
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This Complete Survey Results presentation focuses on current security operations programs and posture, including security operations centers, and how automation and generative AI (GenAI) technologies are helping to augment and optimize these environments.
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Application environments are more complex than ever, with web applications increasingly cloud-resident, containerized, connected via APIs, and delivered via CDNs. On top of this increasingly heterogeneous environment, security responsibility is distributed across a variety of roles and personas. This has resulted in complexity and tool sprawl as security teams struggle to keep pace, with attackers understanding this and using it to their advantage. TechTarget’s Enterprise Strategy Group recently surveyed IT and cybersecurity professionals to gain insights into these trends.
To learn more, download the free infographic, Balancing Requirements for Application Protection.
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Application environments are more complex than ever, with web applications increasingly cloud-resident, containerized, connected via APIs, and delivered via CDNs. On top of this increasingly heterogeneous environment, security responsibility is distributed across a variety of roles and personas. This has resulted in complexity and tool sprawl as security teams struggle to keep pace. Attackers understand this and use it to their advantage through exploits against known vulnerabilities and advanced campaigns that use a variety of tactics such as bots that amplify denial-of-service and credential attacks on web applications and the APIs that tie them together. While platforms are attractive, security cannot be compromised. Security leaders need to understand the actions that forward-thinking organizations have undertaken to properly assess which tools are best positioned to solve the key business challenges they face.
To gain insights into these trends, Enterprise Strategy Group surveyed 383 IT and cybersecurity professionals in North America (U.S. and Canada) involved with securing their organization’s web applications and APIs.
Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.
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This Complete Survey Results presentation focuses web application environments, challenges with protecting public-facing web applications, attack impacts, threat vectors, web application firewall (WAF) usage and preferences, bot management, consolidated solutions, personnel, spending, and future plans.
Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.
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AI increasingly enables organizations to understand their limitations and then optimally allocate their technology spending, maximizing efficiency and driving superior business outcomes. Organizations that harness AI-driven observability, visibility, and monitoring platforms can receive data-driven, actionable insights that transform the economics of application development and platform engineering. But technology leaders and platform teams are faced with a key challenge: Identifying and deploying AI tools that are ideal for their environment, expertise, and culture. TechTarget’s Enterprise Strategy Group recently surveyed application developers and IT professionals to gain insights into these trends.
To learn more, download the free infographic, Transforming Observability and Monitoring Through AI.
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AI increasingly enables organizations to understand their limitations and then optimally allocate their technology spending, maximizing efficiency and driving superior business outcomes. Organizations that harness AI-driven observability, visibility, and monitoring platforms can receive data-driven, actionable insights that transform the economics of application development and platform engineering.
But technology leaders and platform teams are faced with a key challenge: identifying and deploying AI-driven observability tools that fit their environment, expertise, and culture. Only then can they seamlessly enhance system reliability and performance through transparent and actionable insights. Organizations must prioritize explainability for stakeholders to understand the reasoning behind AI decisions to foster trust and refine AI’s decision-making processes and criteria.
To gain further insight into these trends, Enterprise Strategy Group surveyed 377 application developers and IT professionals at organizations in North America (U.S. and Canada) involved with observability and monitoring technology and processes at their organization.
Already an Enterprise Strategy Group client? Log in to read the full report. If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.