Data Management, Analytics & AI

  • Informatica’s AI-Powered Cloud Data Access Management

    Welcome to the dawn of a new era in data management. Today, Informatica unveiled a groundbreaking advancement in the field: Cloud Data Access Management (CDAM), now available on Informatica’s Intelligent Data Management Cloud™ (IDMC). This marks a significant milestone as the industry’s first AI-powered data access management solution to revolutionize how organizations govern and leverage their data assets.

    In recent research from TechTarget’s Enterprise Strategy Group, we found that 62% of line-of-business stakeholders said they only somewhat trust their organization’s data, while 79% of organizations said they must use AI in mission-critical processes to better compete. This disparity between needing AI and trusting data needs to close quickly. We found that most organizations are heavily focused on data quality as part of data governance to gain trust and to deliver decision-making ready data to decision-empowered employees.

    The Informatica CDAM represents a path toward achieving these goals. With data becoming increasingly pivotal in driving business outcomes, it has become imperative for organizations to have robust governance mechanisms in place. CDAM catalyzes innovation, providing a comprehensive suite of tools and capabilities to empower businesses to unlock the full potential of their data while ensuring security, privacy, and compliance.

    At the heart of CDAM lies CLAIRE® AI engine, Informatica’s proprietary technology designed to harness the power of artificial intelligence for data management tasks. Leveraging advanced machine learning algorithms, CLAIRE empowers organizations to automate and streamline critical aspects of data governance, from classification and discovery to access control and policy enforcement. By integrating AI-driven capabilities into the fabric of IDMC, CDAM enables organizations to accelerate their journey toward data-driven decision-making. With automated, policy-based security and privacy controls driven by metadata intelligence, businesses can deploy new analytics and AI use cases, knowing that their data assets are safeguarded against unauthorized access and misuse. This is an excellent example of unleashing the power of AI in data governance.

    The need for scalable data access management has also become increasingly urgent in today’s fast-paced, data-driven world. With the proliferation of advanced analytics and AI technologies, organizations are grappling with the challenge of ensuring secure and compliant data access while also driving innovation and unlocking new growth opportunities.

    CDAM is poised to address the AI governance challenge head-on, providing organizations with the tools and capabilities they need to accelerate innovation on a foundation of AI-powered data governance. By automating and enforcing data access controls across their data estates, businesses can experience the full potential of their data assets, driving insights, innovation, and competitive advantage. At its core, CDAM is about empowering organizations to harness the full power of their data assets. By democratizing access to data and enabling self-service analytics, CDAM enables organizations to unlock new insights, drive innovation, and fuel growth. With CDAM, businesses can easily navigate the complex landscape of data governance, knowing that their data assets are secure, compliant, and ready to power the next wave of innovation. Anyone looking for an end-to-end data platform with strong governance should consider Informatica.

  • This Complete Survey Results presentation focuses on 2024 IT budget expectations, technology initiatives and priorities, year-over-year spending changes (overall and by different technologies), cloud usage trends, and how digital transformation initiatives intersect with these considerations among organizations with fewer than 100 employees.

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  • 2024 Technology Spending Intentions Survey

    While macroeconomic conditions have improved over the last several months, many businesses are still taking a cautious approach to spending. However, for many organizations, this is not an option when it comes to technology investments that underpin digital transformation efforts and increasingly serve as competitive differentiators.

    To learn more about these trends, download the free infographic, 2024 Technology Spending Intentions Survey.

  • Organizations continue to hone their strategic focus on data-driven decision-making, in turn driving widespread deployment of data science and machine learning initiatives. However, numerous challenges can prevent the successful integration of data into models and overall organizational processes and mindsets, with rapidly evolving strategies reflecting a highly diverse data science ecosystem.

    To learn more about these trends, download the free infographic, Decoding the Data Universe: The State of Data Science and Machine Learning.

  • 2024 Technology Spending Intentions Survey

    While macroeconomic conditions have improved over the last several months, many businesses are still taking a cautious approach to spending. However, for many organizations, this is not an option when it comes to technology investments that underpin digital transformation efforts and increasingly serve as competitive differentiators. With this in mind, TechTarget’s Enterprise Strategy Group surveyed 938 senior IT and business decision-makers to ascertain IT budget outlooks for 2024, both overall and for specific technologies, and to determine the key business and technology priorities driving these spending plans. Survey respondents were employed at midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America, EMEA, APAC, and Latin America. All respondents were personally responsible for or familiar with their organization’s 2023 IT spending, as well as their 2024 IT budget and spending plans at either an entire organization level or a business unit/division/branch level.

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  • Organizations continue to hone their strategic focus on data-driven decision-making, in turn driving widespread deployment of data science and ML initiatives. However, numerous challenges can prevent the successful integration of data into models and overall organizational strategies and mindsets. The inherent complexity of data science and ML initiatives fuels a rising need for improved agility, efficiency, and performance, along with well-planned risk reduction and compliance measures. Rapidly evolving strategies increasingly reflect a highly diverse data science ecosystem.

    To assess the state of data science and ML in today’s organizations, Enterprise Strategy Group surveyed 366 professionals in North America (US and Canada) involved with data science and ML technologies and processes, including potential responsibility for strategizing, evaluating, purchasing, building, and managing these technologies.

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  • 2024 Technology Spending Intentions Survey

    This Complete Survey Results presentation focuses on 2024 IT budget expectations, technology initiatives and priorities, year-over-year spending changes (overall and by different technologies), cloud usage trends, and how digital transformation initiatives intersect with these considerations.

    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.
  • Ransomware is widely considered a critical and existential threat to the viability of any business. Given the high frequency of attacks and the impacts of successful ones such as data loss, many organizations are left with damages that have an effect well beyond IT. Attackers often undermine key infrastructure components and expose significant gaps, so IT leaders must focus on protecting and further leveraging their backup and recovery infrastructure to remove risk and minimize business impact.

    To learn more about these trends, download the free infographic, Ransomware Preparedness: Lighting the Way to Readiness and Mitigation.

  • The State of DataOps: Unleashing the Power of Data

    For most organizations, data is no longer only one of many elements that contribute to the success of business initiatives. On the contrary, data increasingly is the business, wielding formidable influence and power across numerous factors. In turn, organizations are investing significant resources into the development of DataOps strategies that formalize parts and processes inherent to the data pipeline.

    To learn more about these trends, download the free infographic, The State of DataOps: Unleashing the Power of Data.

  • For most organizations, data is no longer only one of many elements that contribute to the success of business initiatives. On the contrary, data increasingly is the business, wielding formidable influence and power across numerous factors, including the ability to rapidly make informed business decisions. In turn, organizations are investing significant resources into the development of DataOps strategies that formalize parts and processes inherent to the data pipeline and help to build collaboration between stakeholders across the ecosystem. Data-centric challenges are extensive within any team connected to the organization’s data pipeline, including data producers, engineers, developers, and users. These challenges ultimately drive the adoption and use of technologies and processes designed to satisfy both common and unique data requirements.

    To examine the state of DataOps in today’s organizations, Enterprise Strategy Group surveyed 361 data professionals in North America (US and Canada) involved with modern data and analytics tooling, technology, and processes.

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  • TechTarget and Enterprise Strategy Group ran a global survey examining where buyers source information throughout their purchase journey. New this year! Buyer perceptions on AI-generated content.​

    This report focuses on responses from 600+ global technology buyers in across IT management and senior business roles.​

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  • Organizations are excited by the promise of AI, but they frequently find themselves lacking the in-house expertise and resources needed to fully harness AI’s potential. Recent research by TechTarget’s Enterprise Strategy Group revealed some interesting findings when it comes to what these organizations expect from AI vendors and the broader AI partner ecosystem.

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