... growth, frequent restructures can strain the operating model, leading to delays, inefficiencies and employee fatigue. This research helps HRBPs identify misalignments in the operating model across skills, team structures and workflows to meet business and employee needs. Gartner Recommended Reading Gartner ...
Analyst(s): Simrat Kaur
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... Organizations are currently contending with implementing changes of increasing volume and complexity. Read how HRBPs can boost employee change adoption in their business units through simple tweaks in collecting and acting on employee feedback. Gartner Recommended Reading Gartner Research ...
... Large language models and knowledge graphs stand out as two key technologies driving advancements in AI. This research helps data scientists to explore how integrating KGs can enhance LLMs, specifically retrieval-augmented generation, by improving factual accuracy, contextual grounding, and enabling ...
... Rapidly evolving cybersecurity threats require even mature organizations to analyze the threat landscape to determine investment priorities and ensure vital communication reaches all key stakeholders, starting with board and internal executives. Gartner Research ...
... data architectures are characterized by fragmented systems that often lead to high costs. This research shows how a data lakehouse can optimize costs while fostering innovation and offers data and analytics leaders strategies to optimize spending through architectural simplification. Overview Strategic ...
Analyst(s): Henry Cook | Masud Miraz | Adam Ronthal
... Data and analytics leaders should help stakeholders understand the appropriate use of key data architecture components. This foundational guide explores data warehouses, lakes, lakehouses and hubs to help organizations identify the most suitable components for their targeted use cases. Overview Introduction ...
Analyst(s): Michael Gonzales | Roxane Edjlali | Adam Ronthal
... and data lake capabilities onto a single platform. This design seeks to overcome limitations of past architectures and reduces complexity from older integrated approaches. It streamlines data management and supports diverse analytics workloads, preparing for future architectures including data fabric. ...
Analyst(s): Michael Gonzales | Aaron Rosenbaum | Roxane Edjlali
... Almost two-thirds of organizations are already decentralizing their data management practice. This research presents federated data management as an organizational model for balancing centralization and complete decentralization. It offers data management leaders insights into its benefits and reaso ...
Analyst(s): Michael Simone | Michele Launi | Roxane Edjlali
... Enterprises fail to reduce threat exposure through self-assessment of risks due to unrealistic, siloed and tool-centric approaches to adopting cybersecurity programs. This research helps security operations leaders initiate and mature a continuous threat exposure management program to mitigate threats ...
Analyst(s): Jonathan Nunez | Pete Shoard | Mitchell Schneider