Finalytica Experiential Learning, October 2024: Text-to-SQL Prompt Engineering

Introduction

Text-to-SQL aims to narrow the gap between database systems and business users by automating the conversion of natural language queries into SQL commands. By utilizing the capabilities of Large Language Models (LLMs), it enhances the Text-to-SQL process, thereby enhancing data processing efficiency and enabling a range of applications including automated data analysis, intelligent database services, and streamlined query responses.… Continue reading

Text-to-SQL Prompt Engineering

Introduction

The Art and Science of Prompt Engineering

I. Introduction

Large language models have revolutionized the use of Artificial Intelligence to the next level. These models are so powerful that we can solve many complex use cases using them. At the heart of harnessing this power lies the discipline of prompt engineering; a craft that involves designing and refining prompts to use the most effective and accurate responses from large models.… Continue reading

Latest Happenings September 2024

SEBI, Indian Security market regulator is working on a dozen projects on AI. It has implemented Artificial intelligence (AI) for processing public documents, for example the REIT or Inv IT annual reports as per their chairman in the recently published report by money control.

September 26, 2024

Finalytica July 2024 : Latest Happenings

As per a latest report from the Capgemini Research Institute – ‘Harnessing the value of generative AI: 2nd edition’, 80% of organizations have increased their investment in Gen AI since last year. 24% of organizations have integrated GenAI into some or most of their locations or functions, a significant increase from just 6% a year ago.

Knowledge Series: Building Efficient ML Pipelines

Introduction

In today’s data-driven world, building efficient machine learning (ML) pipelines is crucial for leveraging data to drive insights and business value. In the realm of machine learning, the creation of robust, scalable, and automated pipelines is not just a technical necessity but a strategic imperative.

Finalytica June 2024 : Latest Happenings

According to Research and Markets, the demand for self-service analytics tools is rising as organizations empower non-technical users to make data-driven decisions. The global market for self-service analytics is expected to grow at a CAGR of 20% from 2024 to 2030, driven by the need for agile decision-making and user-friendly analytics platforms .

Knowledge Series: Use cases of Gen AI in Financial Services

Introduction

In the dynamic landscape of financial services Industry, the integration of Generative Artificial Intelligence (Gen AI) has emerged as a game-changer. In this article, we delve into the transformative applications of Gen AI, focusing on the role of Large Language Models (LLMs) such as GPT-3, BERT, and LLaMA, among others.

Finalytica May 2024 : Latest Happenings

According to Fortune Business Insights, the global Big Data as a Service market size was valued at USD 26.16 billion in 2023. The market is projected to grow from USD 33.58 billion in 2024 to USD 178.84 billion by 2032, exhibiting a CAGR of 23.3% during the forecast period.

Finalytica April 2024 : Latest Happenings

As per the report by Fortune Business Insights, the global artificial intelligence (AI) market has valued at USD 515.31 billion in 2023 and is projected to grow from USD 621.19 billion in 2024 to USD 2740.46 billion by 2032, exhibiting a CAGR of 20.4% during the forecast period (2024-2032).

Experiential Learning: BI Part II: From Data views to building BI Dashboards and Insights

Background:

Having extracted data from various Data sources and establishing robust data pipelines and creating comprehensive data views in previous stages, which we covered in our previous edition of Finalytica last month. In this article and in continuation of the process, we delve into building reports & dashboards and extracting actionable insights from the accumulated data.