Artificial intelligence is starting to transform buy-now, pay-later options and other types of embedded lending by taking over many of the steps of credit approval. It can speed up the information processing, analysis and decision-making of online lending, improve its accuracy and profitability, and ultimately make credit available to more consumers and businesses.

But AI lending also carries the risk of bias against minority groups, and borrowers and lenders must feel they can trust the AI to make fair, fiscally sound decisions. Many banks already have digital infrastructure for online lending and use it to offer loans on websites and retail payment terminals, but they're reluctant to add AI until the regulatory and risk management issues are resolved.

In this episode, we explore how embedded lending platforms work, who uses them, and the benefits and challenges of automating the lending process with AI.

Featuring: Yaacov Martin, Co-founder and CEO, The Jifiti Group

In today's episode, we'll also cover:

• Jifiti's digital lending platform.
• Why embedded lending might be of interest to non-bank enterprises.
• The future of digital finance.

References:

• Injenico, Jifiti partner to offer payment options
• Digital payments to exceed $33.5 trillion by 2030: report
• Yaacov Martin article on bank readiness for AI lending
• Academic study on the rise of digital finance

To learn more about enterprise applications, check out Search ERP.

Fraud is among the most common abuses of information technology. Defined as intentional deception to gain an unfair advantage, fraud is increasingly common in talent management, especially recruiting, and has only gotten worse with the easy availability of AI.

For example, AI enables job applicants to misrepresent their qualifications by falsifying resumes and cover letters and tweaking them to match job descriptions. One study showed that the technology levels the playing field so much that companies are less likely to hire the most qualified candidates and more likely to choose the least qualified ones. It's a growing problem for HR departments and hiring managers.

In this episode, we explore the types of HR-related fraud, the role technology plays and strategies organizations can use to minimize its impact.

Featuring: Brian Sommer, Founder and President, TechVentive

In today's episode, we'll also cover:

• How applicants use AI to cheat on tests.
• What technology vendors are doing to address fraud.
• Why holding focus groups with job seekers can improve the recruiting process and provide insight into how people use AI.

References:

• How HR leaders can spot and stop fake job applicants
• Ultimate guide to recruitment and talent acquisition
• Academic study on how AI distorts recruitment

To learn more about enterprise applications, check out Search ERP.

Dynamic pricing is an increasingly popular agentic AI application that showcases AI's advantages over humans in certain tasks. In seconds, AI can analyze customer histories and external data to optimize price quotes without turning off customers.

Such labor-intensive work can take salespeople minutes to complete, and they often have biases that cause them to miss opportunities. AI-driven dynamic pricing tools perform the analysis quickly and dispassionately, which is helping to make salespeople more productive and boosting profits.

In this episode, we explore an electrical distributor's use of an Infor ERP dynamic pricing tool, the work that went into developing and deploying it, the challenges, and lessons learned.

Featuring: David Magee, CTO and CISO, Turtle

In today's episode, we'll also cover:

• Turtle's revenue and margin improvements from using the tool.
• Why optimizing prices is so important for large distributors.
• How the Infor AI goes beyond analytics.
• The role of Infor's data science team.

References:

• Infor offers process mining, automation in CloudSuite ERP
• Infor debuts AI agents to tackle industry specific tasks
• Case study on Infor website

To learn more about enterprise applications, check out Search ERP.