Latest news with #AIReadiness
Al Bawaba
04-06-2025
- Business
- Al Bawaba
Gartner Predicts by 2028, 80% of GenAI Business Apps Will Be Developed on Existing Data Management Platforms
Gartner Inc. predicts that organizations will develop 80% of Generative AI (GenAI) business applications on their existing data management platforms by 2028. This approach will reduce the complexity and time required to deliver these applications by 50%.Prasad Pore, Sr Director Analyst at Gartner, said, 'Building GenAI business applications today involves integrating large language models (LLMs) with an organization's internal data and adopting rapidly evolving technologies like vector search, metadata management, prompt design and embedding. However, without a unified management approach, adopting these scattered technologies leads to longer delivery times and potential sunk costs for organizations.'As organizations aim to develop GenAI-centric solutions, data management platforms must evolve to integrate new capabilities or services for GenAI development, ensuring AI readiness and successful GenAI Application Deployment With RAGRetrieval-augmented generation (RAG) is becoming a cornerstone for deploying GenAI applications, providing implementation flexibility, enhanced explainability and composability with LLMs. By integrating data from both traditional and non-traditional sources as context, RAG enriches the LLM to support downstream GenAI systems.'Most LLMs are trained on publicly available data and are not highly effective on their own at solving specific business challenges,' said Pore. 'However, when these LLMs are combined with business-owned datasets using the RAG architectural pattern, their accuracy is significantly enhanced. Semantics, particularly metadata, play a crucial role in this process. Data catalogs can help capture this semantic information, enriching knowledge bases and ensuring the right context and traceability for data used in RAG solutions.'To effectively navigate the complexities of GenAI application deployment, enterprises should consider these key recommendations:Evolve Data Management Platforms: Evaluate whether current data management platforms can be transformed into a RAG-as-a-service platform, replacing stand-alone document/data stores as the knowledge source for business GenAI RAG Technologies: Evaluate and integrate RAG technologies such as vector search, graph and chunking, from existing data management solutions or their ecosystem partners when building GenAI applications. These options are more resilient to technological disruptions and compatible with organizational data. Leverage Metadata for Protection: Enterprises should leverage not only technical metadata, but also operational metadata generated at runtime in data management platforms. This approach helps protect GenAI applications from malicious use, privacy issues and intellectual property leaks.
Independent Singapore
19-05-2025
- Business
- Independent Singapore
Singapore retains top spot in 2025 global index for elite governance, but AI shakes global order
SINGAPORE: Singapore has topped the global Elite Quality Index (EQx) again in 2025, highlighting the city-state's effective technocratic governance and institutional design. According to SMU Associate Professor Alwyn Lim, while Singapore's elites have consistently created value for society rather than extracting it, its dependence on global integration poses challenges as deglobalisation accelerates. He said, 'The capacity to sustain elite-driven value creation in an age of decoupling will be key.' This year's EQx, released on Monday (May 19) by the Singapore Management University (SMU) and the University of St. Gallen, ranked 151 countries using 149 indicators. These included innovation, corruption control, regulatory quality, and—for the first time—artificial intelligence (AI) readiness. The report is based on elite theory in economic development, which suggests that a nation's economic outcome depends largely on its most powerful players, including business leaders, politicians, or cultural influencers, rather than broad societal or institutional factors alone. However, while Singapore retained the top spot, the inclusion of AI has shaken the global order. See also NUS, NTU and SMU postpone student exchange programmes to HK The United States saw the most dramatic jump, rising from 16th place to 2nd overall. This shift was mainly due to five new AI-related indicators. Switzerland, last year's runner-up, dropped to third. In Asia, Japan ranked fourth, followed by South Korea, with China in 19th place, thanks in part to its advances in AI. India also improved dramatically, jumping to 60th from 118th in just four years. Singapore ranked near the top in AI readiness but came in only 23rd for sustaining value creation across generations, compared to Denmark or Switzerland. Prof Lim noted, 'Singapore's model, rooted in technocratic competence, openness to global markets, and a high degree of institutional trust, continues to set the regional benchmark, but its success is deeply intertwined with globalisation, which is now under strain.' He added that the challenge now is sustaining elite-driven innovation in a world tilting towards deglobalisation. 'The durability of this model will be a critical test in the coming years, not just for Singapore, but for other export-dependent economies,' he said. The report said emerging economies like Indonesia, the Philippines, and Vietnam may not be among the top-ranked yet, but they are becoming more important to regional stability and economic systems. This only suggests that Asian economies are no longer just 'emerging' but are shaping future value creation, especially through technology and innovation. However, the report noted that to sustain this progress, they'll need to focus on fairness, future planning, and shared prosperity. Photo: Singapore Management University (SMU) /TISG Read also: Singapore, ranked 3rd happiest city in the world, joined by Seoul and Taipei in Asia
