partner content Articles and Reports

This section features our sponsored interviews, articles, reports in partnership with some of the most exciting brands in artificial intelligence. Explore our library of partner content below:

Natural Language Processing for Insurance Customer Insights

Natural Language Processing for Insurance Customer Insights

Along with the rise in popularity of chatbots and simple conversational interfaces, there is growing interest around other natural language processing (NLP) capabilities in the banking, finance, and insurance industries.

Enterprise Adoption of AI in the Insurance Sector - An Overview

Enterprise Adoption of AI in the Insurance Sector – An Overview

The insurance sector is highly competitive, and there seems to be a consensus among experts that customers in the industry favor insurance products that are tailored to their unique needs. Large insurance firms could deliver personalized customer experiences and improve their operational efficiency by adopting AI.

Artificial Intelligence for Investment Research and Trading Insight

Artificial Intelligence for Investment Research and Trading Insight

Banks and investment organizations usually have large research teams that are tasked with investigating and monitoring events that might affect financial trading markets. Investment research is a business function in these firms and is a fundamental part of what is required from analysts, equity managers, investors, and traders.

Artificial Intelligence and the Evolution of the Sales Process

Artificial Intelligence and the Evolution of the Sales Process

Artificial Intelligence has many applications in marketing and advertising. However, it may prove useful in the near-term future for businesses to start looking into AI solutions for after they generate a lead. AI already has applications for converting leads into paying customers and making progress on various steps in the sales process overall.

An Overview of AI for Wealth Management – What’s Possible Today?

An Overview of AI for Wealth Management – What’s Possible Today?

According to a 2017 report by the Financial Stability Board, artificial intelligence (AI) and machine learning firms managed assets of over $10 billion in 2017, with further growth projected in the next five years. The reasons for this are clear; AI can now present wealth managers with new capabilities to enhance and further personalize their services, at scale.

Crowdsourced Machine Vision Training - Use Cases and Explanation

Crowdsourced Machine Vision Training – Use Cases and Explanation

Data is essential when it comes to building machine learning models for business applications. A strong AI strategy is predicated on data that is specific to the business problem a company is trying to solve, as outlined in our recent article: Data Collection and Enhancement Strategies for AI Initiatives in Business. When it comes to executing on that strategy, oftentimes the first thing a company needs to do is collect some or all of the data it will need to build the right machine learning model for its use case.