The use of third-party cloud cost estimation and modeling tools has become a standard and essential practice for enterprise IT buyers. As the number and diversity of deployment options for applications and data have ballooned in recent years, decision makers find themselves overloaded with alternatives and needing help identifying the ideal deployment location and approach. Enterprise Strategy Group recently researched this trend to find out how prevalent the use of these tools is today as well as highlight the specific impacts they have on buying decisions.
Insight
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Amid the proliferation of sophisticated cyber attacks, network security remains an overarching component of an organization’s overall security strategy to detect and respond to threats. Network detection and response (NDR) tools have proven to support a diverse set of use cases, including improving response capabilities, accelerating incident response processes, detecting advanced attacks, and monitoring cloud environments. Security teams recognize artificial intelligence and machine learning (AI/ML) embedded in NDR tools are critical in providing more accurate and faster threat detection, as well as greater operational efficiency.
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Encrypted threats continue to pose a problem for many businesses. Nearly every organization decrypts and inspects some of its traffic, yet most companies refrain from decrypting all their traffic and therefore lack the visibility necessary to prevent encrypted attacks. Many enterprises use various tools and techniques in the hopes of increasing visibility with and without decryption. Network detection and response tools that detect encrypted threats without decrypting, help close visibility gaps, and prevent attackers from exploiting encrypted traffic are gaining wider attention.
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Research Objectives
- Assess whether this threat vector is a significant concern for IT and security leaders.
- Determine where this expanding threat vector fits into modern security strategies and practice.
- Understand where and how organizations are currently securing this threat vector.
- Identify key challenges, objectives, and opportunities to mitigate risk.
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Research Objectives
- Identify the value that organizations are receiving from observability and the challenges they face.
- Determine the current state of observability in the enterprise.
- Characterize firms that are intending to purchase observability tools.
- Monitor the adoption of observability and AIOps tools in enterprises and midmarket organizations.
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Teradata and Microsoft have long played a major role in the advancement of data and analytics. An example of this is their new collaboration announcement to bring Teradata VantageCloud Lake and ClearScape analytics to the Microsoft Azure cloud. This partnership aims to provide enterprises with the ability to leverage AI and machine learning (ML) at scale across their organizations to extract value from data, which helps to empower data-driven decision-making and may lead to faster future innovations.
A recent research survey by TechTarget’s Enterprise Strategy Group found that organizations widely recognize the value of data analysis. When asked how they would assess the impact of data analysis for decision-making or as a competitive advantage, an amazing 99% of respondents said the impact was positive (66%) or extremely positive (33%).[1]
The integration of Teradata’s cloud-native platform and ClearScape Analytics with Microsoft Azure services, including Azure Machine Learning, offers customers enhanced analytics capabilities and the opportunity to explore generative AI.
We have seen interest in generative AI gaining significant traction across industries. If fact, TechTarget has seen a 2,699% growth in generative AI editorial and content consumption over the past 6 months.[2] Recognizing this growing demand, Teradata and Microsoft are leveraging their expertise and innovative technologies to help organizations harness the power of generative AI to drive improvements in business performance and customer experiences.
There are two important solutions that Teradata and Microsoft are bringing to market. The first is Teradata’s VantageCloud Lake on Azure, which serves as a foundation for delivering AI and ML. In the recent Enterprise Strategy Group research survey, organizations reported that they overwhelmingly procure their data repository tools in public clouds like Azure.[3] VantageCloud Lake on Azure provides a modern cloud-native architecture that separates compute and storage to offer independent, elastic, and multicluster compute capabilities against Azure Data Lake Storage. This combined solution enables Azure customers to execute a wide range of analytic workloads, including AI/ML, with harmonized data across their organizations. The offering also includes an exclusive high-availability feature that enhances cloud availability and optimized system sizes for improved overall uptime.
The second solution is ClearScape Analytics, coupled with Azure Machine Learning. This combination of technologies is designed to deliver analytics capabilities for AI, ML, and generative AI use cases. Teradata’s ClearScape Analytics and Microsoft Azure ML provide end-to-end analytic pipelines, encompassing data preparation, model training, and operationalization at scale.
When combining data from VantageCloud Lake with ClearScape Analytics and Azure ML, businesses can activate analytics across the enterprise and explore new generative AI use cases. This collaboration between Teradata and Microsoft demonstrates their continued commitment to advancing data and analytics and empowering organizations to embrace cutting-edge technologies to drive innovation at an enterprise scale.
[1] Source: Enterprise Strategy Group Research Report, Data Platforms: The Path to Achieving Data-driven Empowerment, June 2023.
[2] Source: Core Topic Activity Growth Report (Worldwide, TTGT only, All Segments, July ’22-Dec ’22 vs. Jan ’23-Jun ’23).
[3] Source: Enterprise Strategy Group Research Report, Data Platforms: The Path to Achieving Data-driven Empowerment, June 2023.
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IoT management and security is quickly becoming a top priority for organizations as they also deal with endpoint management and security. Enterprise Strategy Group research has revealed that the recent increase in IoT devices is a primary cause of IT complexity, and that organizations are ramping up efforts to consolidate IoT and endpoint management and security teams to help reduce the load placed on IT organizations.
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Remote work coupled with an increase in both the number and variety of endpoint devices per user has led to an increase in IT complexity. This sprawl at the edge has led to multiple IT teams leveraging multiple tools, further increasing complexity and inefficiency. To combat this, many organizations are turning to consolidation of teams, tools, and processes.
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Public cloud use has been pervasive for years, and digital transformation initiatives and remote work have further accelerated the migration of data assets to cloud stores.
The Cloud Data Security Imperative, an April 2023 research report from TechTarget’s Enterprise Strategy Group, validates that conventional wisdom: More than a quarter of respondents (26%) currently store at least 40% of their corporate data in the public cloud — and this will double over the next two years — 58% of respondents expect to store at least 40% of their data in the public cloud 24 months from now.
Read my blog to get more of my insights into this research.
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When developing a unified communication and collaboration strategy, much of the focus is on the capabilities of the platforms. But organizations also need to consider the impact that the networking and infrastructure have on UCC success. Many employee- and customer-experience problems can be directly tied to networking and infrastructure. Enterprises that recognize the need to address network connectivity, reliability, scalability, and complexity issues are targeting key areas of investment to overcome these challenges.
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Increased IT complexity and the need to focus resources on strategic initiatives are pushing IT leaders to embrace product options that support technology convergence and platform consolidation. Integrated solutions from multiple vendors are a viable option to achieve those goals. Research from TechTarget’s Enterprise Strategy Group found that boosting IT team productivity is the leading business driver for buying integrated solutions and that business expectations are being fully met or exceeded in a majority of cases.
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Various challenges complicate the process of researching, evaluating, purchasing, and deploying integrated solutions from strategic vendor partners. Research by TechTarget’s Enterprise Strategy Group found that current users encounter unique challenges in each stage—and for each stage, only about one-fifth of survey respondents said they didn’t experience any challenges. The often self-guided education that occurs during the research stage of the buyer’s journey is critical not only for solution selection, but also for project success and follow-on investments with the providers of the integrated solution. Buyers need to push solution vendors to address common challenges, while partnering vendors must take a unified approach in doing so.
