Remove addressing-fraud-with-machine-learning-how-why
article thumbnail

Addressing Fraud with Machine Learning: How & Why

Dataiku

For the financial services industry (as well as many others that deal with data security and other types of non-monetary fraud), anomaly detection is hands down the most important system in operation. Yet many organizations still use more traditional modeling for fraud or anomaly detection instead of making the shift to machine learning.

article thumbnail

Inscribe bags $25M to fight financial fraud with AI

TechCrunch

His team was tasked with digitizing the onboarding process — particularly document-heavy manual review workflows — that were costing the bank millions of dollars every year and not catching fraud. According to him, the biggest challenge was figuring how to remove the human element without compromising risk and fraud controls.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Hawk AI, an anti-money laundering and fraud prevention platform for banks, raises $17M

TechCrunch

Hawk AI , a German company developing anti-money laundering (AML) and tangential fraud prevention smarts for financial institutions, has raised $17 million in a Series B round of funding. “What is the justification for an AI-driven, individual decision, and how were the algorithms that contribute to AI developed?

Banking 240
article thumbnail

User Interviews, which helps companies recruit survey participants, raises $27.5M

TechCrunch

Platforms such as Great Question and Ribbon seek to simplify the process of interviewing customers about product ideas and strategy, while services like Sprig and Maze let product teams observe how users interact with a product and generate reports. We’ve reached out to the company for more information about why that might be.

article thumbnail

List of Top 10 Machine Learning Examples in Real Life

Openxcell

Earlier humans were the only ones who had the potential to learn from their past experiences. But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. Want to know?

article thumbnail

How China’s synthetic media startup Surreal nabs funding in 3 months

TechCrunch

Advances in machine learning are turning the idea into a reality. We’ve seen how deepfakes swap faces in family photos and turn one’s selfies into famous video clips. Prior to founding Surreal, Xu spent six years at Snap, building its ad recommendation system, machine learning platform and AI camera technology.

Media 195
article thumbnail

Travel Fraud Protection: Key Types of Travel Scam, Protective Measures, and Software to Consider

Altexsoft

Besides, due to the specific nature of the industry with high-value one-off payments, a big number of businesses across the world, and rapid customer consumption of services, the travel and hospitality sector is a huge target for fraud. What is travel fraud protection and why is it important?

Travel 52