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Crafting a Strong Data Strategy: Prioritising Data Quality and Governance

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In an increasingly data-driven business environment, a solid Data Strategy is essential for companies seeking to stay competitive, ensure compliance, and enhance operational efficiency. A well-designed data strategy is not just about managing data, it’s about transforming raw data into actionable insights that can influence decision-making at every level. Key to this transformation are two […]

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Understanding LLMs’ Reasoning Limits Today: Insights to Shape Your Strategy

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One critical question underpins the excitement around LLM’s potential: just how intelligent are Large Language Models (LLMs) when it comes to reasoning? Asking this question is crucial, as understanding the true capabilities of LLM’s enables us to apply it more effectively and to make strategic decisions on where to invest in skills that foster long-term

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My Aha Moments from MWC24 Las Vegas: The Conference

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After attending MWC24 in Las Vegas, I’d like to share some highlights that captured my attention. Compared to MWC24 Barcelona, the Las Vegas edition was a more intimate experience, with smaller crowds and shorter walks between sessions. The convenience allowed me to attend more AI-focused events, which was perfect for my company Parser, our AI-driven

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Fine-Tuning BERT to Develop a CV Job Description Matcher

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Introduction: In today’s competitive job market, efficiently matching candidates to job openings is crucial for both job seekers and employers. At Parser, we are continually exploring alternatives to improve our existing processes to address challenges like this one. With this idea in mind, we’ve developed a model using BERT (Bidirectional Encoder Representations from Transformers) and

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My Key Takeaways From TED AI San Francisco 2024

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While visiting clients in San Francisco, I had the opportunity to attend TED AI, which presented a range of thought-provoking insights. The event showcased a fascinating array of talks, many of which highlighted contrasting perspectives across key areas. Below, I’ve summarised these contrasts, including the primary arguments presented, and my initial reflections. AI as a

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Rethinking LLMs: A Modular, Distributed Approach to AI

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Large Language Models (LLMs) have emerged as powerful tools for understanding and generating human text across various applications. However, as these models grow, they become more complex and consume a lot of resources, similar to a monolithic application. This raises a key question: Is this the most efficient path forward, or is it time to

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Apache Cassandra: Is it a good database for AI? – Part 2

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Introduction In the first part of the article, we explored the general requirements of AI-specific databases. Now, let’s evaluate how well Apache Cassandra 5.0, the popular open source NoSQL database used by tech leading companies like Apple, Netflix, and Spotify, meets these demands. Specifically, we’ll delve into Cassandra’s capabilities, strengths, and limitations to determine if

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Apache Cassandra: Is it a good database for AI? – Part 1

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Introduction The world is now taking a strong turn towards Artificial intelligence (AI), specifically through Generative AI (GenAI). The ability to store large amounts of data is crucial for the development and deployment of AI. With the ever-increasing volume of data being generated, it is essential to have a reliable and scalable storage solution that

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Resilience in Microservices: Bulkhead vs Circuit Breaker

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Introduction In the world оf microservices, resilience іs key. Services are designed tо be independent and loosely coupled, meaning they must be able tо operate іn isolation without impacting other services. However, this independence can also create new challenges when іt comes tо ensuring that the system as a whole remains resilient. Two popular patterns

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