Blog and Insights

Welcome to Dataception's Blogs and Insights, your go-to source for the latest trends, expert opinions, and in-depth analyses in the world of data analytics and AI. Here, we share valuable knowledge and thought leadership on data strategies, cutting-edge technologies, and best practices to help you stay informed and ahead in the data-driven landscape. Dive into our articles to gain insights that can drive innovation and transformation within your organization.

Latest Post

Unlocking the Power of Data Product Metadata in Micro-Service Architectures

In the realm of micro-service (MS) oriented data products (DPs), understanding and categorizing metadata is crucial for success. Metadata, the data about data, plays a vital role in building, controlling, and operating data products. Effective management ...
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Unlocking the Power of Data Product Metadata in Micro-Service Architectures

In the realm of micro-service (MS) oriented data products (DPs), understanding and categorizing metadata is crucial for success. Metadata, the data about data, plays a vital role in building, controlling, and operating data products. Effective management ...
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How to Make Business Leaders Care About Data: A Pragmatic Approach

In the realm of business, decision-makers are often more concerned with achieving their goals than with the methods used to get there. This can make promoting a data-driven approach challenging, especially when leaders rely on gut feelings and established...
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Will AI Eat Business from the Inside Out or the Outside In?

Marc Andreessen famously said, "Software will eat the world." Today, this notion can be updated to "AI will eat business." The pressing question is: will AI revolutionize business from the inside out or from the outside in?Inside Out: The Role of Leadersh...
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Does Mamba Signal a New Era Beyond ChatGPT?

In the ever-evolving landscape of AI, the Transformer architecture has been the backbone of modern language models like ChatGPT, Gemini, and Claude. However, a groundbreaking new algorithm named Mamba may soon redefine the boundaries of what's possible in...
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Optimizing Train Rerouting with Graph Analytics

Efficient train rerouting is crucial in maintaining smooth operations within a railway network, especially when unforeseen incidents like train breakdowns or crew supply issues occur. This post explores how graph-based analytics and a variation of Dijkstr...
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Streamlining Credit Rating Report Generation with AI and LLMs

In the fast-paced world of finance, timely and accurate credit rating reports are crucial for banks and lending institutions to manage risk and optimize capital allocation. Traditionally, generating these reports has been a manual, time-consuming process ...
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Composable Enterprise: Harnessing Interconnected AI and Data Products for Dynamic Business Ecosystems

In today’s rapidly evolving business landscape, the concept of a "Composable Enterprise" is transforming how organizations operate. By leveraging interconnected AI, large language models (LLMs), and analytics data products, businesses can create an adapti...
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DocLLM: Revolutionizing Multimodal Document Understanding with Layout-Aware Language Models

In the ever-evolving field of AI, the challenge of accurately extracting and understanding text from complex documents remains significant. Traditional large language models (LLMs) often fall short when dealing with the intricate layouts of forms, invoice...
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2024: The Year We Drive LLMs with Data Products

As we kick off 2024, it's time to reflect on a year filled with significant strides in AI and data product development. After taking a brief hiatus over the holidays, I've been working on a solution poised to accelerate data products and AI capabilities. ...
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Elevating Language Models: How Knowledge Distillation with Mistral 7B and Zephyr 7B Beta Outshines Larger Models

In the ever-evolving landscape of artificial intelligence, the pursuit of more efficient and effective language models (LLMs) continues to drive innovation. One notable technique that has garnered attention is knowledge distillation, which allows smaller ...
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Harnessing the Power of Retrieval-Augmented Generation with Llama 2

In the realm of AI and natural language processing, one topic continues to garner significant attention: the capabilities of Large Language Models (LLMs). This article delves into the comparison between a pre-trained Llama 2 model used alone and its integ...
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Unlocking the Power of Mistral 7B: Enhancing Document Querying with Ensemble Retrieval

The recent surge in the capabilities of Large Language Models (LLMs) has opened up numerous possibilities, one of which is the ability to query internal documents effectively using minimal computational resources. Our article delves into a novel approach ...
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Enhancing AI Capabilities: The Synergy of Graph Neural Networks and Large Language Models

In the rapidly evolving landscape of artificial intelligence, two significant branches have emerged as frontrunners: Large Language Models (LLMs) and Graph Neural Networks (GNNs). Each has demonstrated immense potential in their respective domains—natural...
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Revolutionizing Data Analysis with DataGPT: The AI-Driven Data Analyst

Generative AI has been a hot topic in recent years, with discussions often revolving around its potential to replace various job roles. Recently, this was highlighted at Method Resourcing's Round Table Data Series, referring to as "job compression." DataG...
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Revolutionizing Language Models: The Emergence of Self-RAG

In recent years, large language models (LLMs) have transformed natural language processing, making significant strides in industries such as finance, healthcare, and customer service. However, the standard Retrieval Augmented Generation (RAG) framework, d...
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Unveiling DeBERTa: Enhancing BERT with Disentangled Attention and Decoding

Anyone who has delved into AI-based NLP work over the past five years should be familiar with BERT. Known for its exceptional ability to process and understand information, BERT has become a cornerstone in many natural language processing (NLP) tasks. How...
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Building LLM Agents with Autogen: A Revolutionary Approach

Local LLMs and Autogen: An Uprising of Local-Powered AgentsAre you searching for a way to build a whole army of organized AI agents with Autogen using local LLMs instead of the paid OpenAI? Then you came to the right place! This blog delves into the excit...
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GenAI & Data Product Architecture: Transforming Data Products with AI

At Dataception Ltd, we've developed a comprehensive architecture that leverages Large Language Models (LLMs) and transformer-based AI models to revolutionize the development, design, and operation of data products. This innovative architecture is segmente...
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Navigating the Challenges of Retrieval-Augmented Generation (RAG) Systems

Retrieval-Augmented Generation (RAG) has gained popularity for its ability to reduce hallucinations in large language models (LLMs) by retrieving data from external sources within the query flow. However, despite its promise, RAG comes with its own set of...
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The Great Data Race: 🏎️ Navigating the Data & Analytics Race Track for Business Value

Here with an exciting analogy to help you understand the complexities of delivering GenAI, Data & Analytics with Data Products. Think of this journey as a race track, with each section representing a critical phase in the process. Buckle up as we speed ar...
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