Author: hico

BARC Spotlight GenAI in Business Intelligence and Analytics

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The BARC Spotlight Study GenAI in Business Intelligence & Analytics sheds light on the uncertainty in the industry with regard to the use of GenAI: concerns about data security, a lack of technical expertise, poor data quality and the complexity of integrations dominate the picture. There is no clear focus when it comes to implementing … Continued

A company’s AI Readiness: It is not only about Data

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With the emerging AI trend, more and more organizations are looking to implement AI solutions in their business operations but do not know if they are ready as a company or organization to adopt AI. Many factors need to be considered if an organization wants to be “AI-ready” and they can be divided into three … Continued

From data to dominance – Part 1 the AI transformation in manufacturung

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The manufacturing industry is undergoing significant changes due to demographic shifts, labour shortages and rapid digitalisation. These factors are driving companies to adopt innovative technologies to stay competitive and efficient. One of the most impactful technological advancements is artificial intelligence (AI), including machine learning (ML) and generative AI. These technologies are revolutionising the way manufacturing … Continued

Leveraging Structured Data to enhance Generative AI and Build Knowledge Bases

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Structured data is currently considered the cornerstone of the data industry. This type of data forms the backbone of various applications due to its accessibility and reliability, facilitating efficient information organization.  With the emergence of Generative AI (GenAI), Large Language Models (LLMs) have revolutionized how we interact with data by excelling at processing and generating … Continued

Proactive measures for AI security: A critical need for organisations

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The urgency of addressing AI security within organisations cannot be overstated. As AI technology rapidly advances, employees are increasingly turning to private AI services without formal policies in place, putting sensitive corporate data at risk. Organisations must take immediate action to implement AI security measures, as failure to do so will leave them vulnerable to … Continued

Structured vs. Unstructured Data: Challenges and Opportunities for Language Models

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Currently, most discussions around data-driven AI are centred around structured and unstructured data. This has become more pronounced since Large Language Models (LLMs) such as GPT-4 entered the scene. When we talk about structured data, we refer to data with a specific structure— such as databases and spreadsheets. These are highly organized information systems with … Continued

Update from Google LLC

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Today, Google announced the addition of 110 new languages to its web and smartphone translation app, making Google Translate more comprehensive than ever with a total of 243 languages! This is the largest expansion since 2022, when 24 new languages were added using zero-shot machine translation. The expansion leverages PaLM 2, a transformer-based large language … Continued

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