AI Articles and Analysis about Predictive analytics and forecasting

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.

The Future of Healthcare in Large Language Models@2x-min

The Future of Healthcare in Large Language Models – with Ylan Kazi of Blue Cross

In just the last year, rapid advancements in AI technologies, particularly in natural language processing (NLP), have dramatically impacted virtually every industry. Most recently, large language models (LLMs) have become front and center – driven by the overwhelming popularity of OpenAI's ChatGPT. 

OECD-Approved AI Tools and Resources for Financial Services@2x

OECD-Approved AI Tools and Resources for Financial Services

The OECD.AI Policy Observatory is an inclusive platform that brings together resources and expertise from the OECD and its partners to facilitate dialogue and provide evidence-based policy analysis on the impact of AI. It is built upon the foundation of the OECD AI Principles, the first intergovernmental standard on AI adopted in 2019, endorsed by OECD countries and partner economies.

Playing Offense and Leveraging the Network Effect to Fight Retail Fraud@2x-min

Playing Offense and Leveraging the Network Effect to Fight Retail Fraud – with Asha Sharma of Instacart and Robert Bedetti of Riskified

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
The advent of the COVID-19 pandemic is leaving retail and eCommerce enterprises awash in numerous, often chaotic trends, many of which are proving critical for driving AI adoption throughout the industry. Perhaps most prominent among these market dynamics is an enormous shift to online retail.

Predicting Freight Shipments with AI@2x

Predicting Freight Shipments with AI – with Dorothy Li, CTO of Convoy

Accurately projecting and communicating shipment details in freight and logistics is paramount for successful, safe delivery across the vast supply chain. 

002 – Creating Insurance Policies for AI Applications – with Munich Re’s Michael Berger

Creating Insurance Policies for AI Applications – with Munich Re’s Michael Berger

As AI becomes increasingly interwoven in the fabric of our everyday lives, the insurance sector is finding new business challenges and opportunities in all of the ways these emerging technologies bring increased risk - and security - to our lives.

Managing Model Development@2x-min

Managing Model Development – with Katie Bakewell of NLP Logix

As a business practice, model development aims to create a dataset, tailored through machine learning, that can accurately predict outcomes or classify data based on input variables. By following a structured approach, developers can ensure that the model development process is efficient, effective, and reproducible.

Artificial Intelligence at DHL@2x-min

Artificial Intelligence at DHL – Two Applications at the World’s Largest Logistics Company

DHL is a German logistics company that offers parcel delivery, express mail, freight forwarding, and third-party logistics. Its parent company is Deutsche Post (‘DPDHL’), the world’s largest logistics enterprise, operating in over 220 countries and employing more than 510,000 people worldwide. 

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The Importance of NLP in Insurance@2x-min

The Importance of NLP in Insurance – with Gero Gunkel of Zurich Insurance

Although not often regarded as a technological first-mover, the insurance industry has recently seen robust, even rapid, adoption and deployment of AI capabilities, particularly in those related to natural language processing (NLP). 

Predictive analytics and forecasting

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.