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 a podcast with Capital One's Head of Enterprise AI on the company's implementation of AI tools, an article on utilizing AI for data storytelling and a piece on how to become more layoff-proof as a data scientist. Follow us on Twitter and LinkedIn to receive daily updates on IIA content and curated content as it becomes available.
Featured Articles on Use Cases and Case Studies
Making Magic With Gen AI: Capital One’s Prem Natarajan (MIT Sloan Review)
Capital One's Head of Enterprise Data and AI joins an episode of the Me, Myself, and AI podcast to share how Capital One’s technology teams are delivering value to customers by applying artificial intelligence in areas like fraud detection, how generative AI’s strengths stand to transform the developer experience, and why the right combination of product, science, and engineering expertise is key to successful AI and machine learning initiatives.
Retailers are eager to harness the power of artificial intelligence (AI) to enhance operations and revenue. However, a Forrester Research study commissioned by Epicor reveals significant challenges. While 70% of retailers consider AI crucial, only a fraction utilize advanced AI in key processes due to data management deficiencies and a lack of technical expertise.
Featured Articles on AI and Machine Learning
OpenAI's ChatGPT Violates GDPR: Italy's Data Watchdog Says (InformationWeek)
This article discusses Italy's data privacy regulator's recent accusation that OpenAI's ChatGPT violates the EU GDPR, following a previous ban. OpenAI has 30 days to address concerns. The move underscores growing scrutiny of AI systems by regulators. OpenAI has defended its practices, citing compliance with privacy laws and intent to cooperate.
The Enduring Power of Data Storytelling in the Generative AI Era (MIT Sloan Review)
Generative AI tools like ChatGPT and Gemini are revolutionizing information processing, enabling tasks from interpreting user questions to generating structured recommendations. While some question the relevance of visual data presentation, AI's capabilities complement rather than replace it. Understanding decision-making scenarios is crucial for selecting the appropriate information presentation tool. AI excels in simple, explanatory tasks but falls short in complex, sophisticated situations where data stories and interactive dashboards remain indispensable. Collaborating with AI enhances data narratives, offering new insights and efficiencies while preserving human expertise.
AI predictions for 2024: What top VCs think (VentureBeat)
2023 saw AI flourish with Bing Chat and Google Bard but also raised ethical flags. VCs predict a transformative 2024 with shifts in generative AI and GPU tech, promising a pivotal year for AI across industries.
Featured Articles on Analytics Strategy and Culture
Evaluating Large Language Models (Towards Data Science)
Generative AI has surged in popularity, but evaluating its performance poses challenges. Unlike discriminative models, which have clear metrics, assessing generative models' quality, coherence, and diversity is complex. This article delves into evaluation protocols for text generation and Large Language Models, offering insights into tackling this issue.
How to Make Yourself More Layoff-Proof as a Data Scientist (Towards Data Science)
Tech layoffs surged in 2023 and continue into 2024, impacting over 240K workers across 1,000+ companies, including major players like Google and Discord. Unlike past downturns, cuts now affect technical roles like software engineers. Data scientists can safeguard themselves by staying updated on company strategy and anticipating shifts in priorities.