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May: Best of the Web

Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include articles on applying LLMs to enterprise data, the power of accurate data and its impact on the business landscape, turning company documents into a searchable database with AI language models, trust and safety in enterprise AI, an overview of the AI Index Report, and a beginner's guide to the basics of artificial intelligence. Additionally, explore articles on comparing data science in academia and industry, and strategies to measure and improve employee engagement using analytics. Follow us on Twitter and LinkedIn to receive daily updates on IIA content and curated content as it becomes available.

Featured Articles on Analytics Strategy

Applying LLMs to Enterprise Data: Concepts, Concerns, and Hot-Takes (Towards Data Science)
While LLMs excel at general knowledge tasks like proving the existence of infinite prime numbers, they struggle with proprietary and non-public information. The article introduces four key concepts: prompt engineering, context windows, embeddings, and fine-tuning.

The power of accurate data: How fidelity shapes the business landscape?
This article explains specific pitfalls of poor data fidelity and explains how to continuously put effort and attention into maintaining data fidelity, including following best practices such as data cleaning, conducting regular audits, implementing data governance policies, providing training and education, and utilizing various tools and technologies.

Featured Articles on Analytics Use Cases

How I Turned My Company’s Docs into a Searchable Database with OpenAI (Towards Data Science)

With its recent explosive rise in popularity, AI language models have found their way into every industry to increase productivity and make interpreting data easier than ever. This is a quick tutorial to create a database with company documents that can be easily accessed with ChatGPT’s language model. Combining ChatGPT with a customized database allows anyone to easily ask questions and receive easy-to-read answers.

Featured Articles on AI

Why Trust and Safety in Enterprise AI Is (Relatively) Easy (Towards Data Science)

Author Cassie Kozyrkov, chief decision scientist at Google, argues that ensuring trust and safety in traditional enterprise AI systems is relatively easier compared to generative AI systems. Large organizations tend to prioritize caution and avoid risks, making it unlikely for an enterprise AI system to be launched without proof of its value and minimal potential for harm. Enterprise AI systems have straightforward use cases, clear objectives, and measurable.

Overview of the AI Index Report: Measuring Trends in Artificial Intelligence (KD Nuggets)

Based on a recent study by Stanford University, this article summarizes the pros and cons of the AI revolution so far and recaps what kinds of research and data is being collected regarding all the recent changes.

AI 101: A beginner’s guide to the basics of artificial intelligence (Dataconomy)

This article provides a beginner's guide to the basics of artificial intelligence (AI). It explains that AI involves creating intelligent machines that can perform tasks requiring human-like cognitive abilities such as learning, reasoning, and problem-solving. The basics of AI include understanding subfields like machine learning, natural language processing, computer vision, and robotics.

Featured Articles on Analytics Leadership and Talent

Crossing the Bridge: A Comparison of Data Science in Academia and Industry (Towards Data Science)

In this article, Nazlı Alagöz compares data science in academia and industry, drawing from the author's experiences as a Ph.D. student who shifted from academia to the industry. The article highlights the objectives and impact definitions in both sectors, formulation of research questions and data acquisition practices, timelines and scopes of projects, critical and scientific thinking, and much more.

How Can You Use Analytics to Measure Employee Engagement? (Smart Data Collective)

Employee engagement is crucial for the success of an organization, but it can be challenging to measure and improve. This article describes strategies to improve engagement like using digital signage, promoting high performers, and creating an appealing work culture.