TechCrunch

AUGUST 5, 2021

At one point during their tenure at the installment loan provider, they came across a “peculiar” fraud case, where 12 identities applied for loans using the same name and date of birth but 12 different Social Security numbers. . Specifically, those APIs detect fake and stolen identities for new account applications.

Technical Review 249

Technical Review Banking Systems Review Government 249

TechCrunch

FEBRUARY 10, 2022

It’s a great time to be in the fraud detection business in crypto and fintech. The use case for all our customers is essentially that they’re all using us to prevent fraud when money is being loaded into a wallet,” CEO and co-founder Soups Ranjan told TechCrunch in an interview. Fraud is global.

Fintech 213

Fintech Company Compliance Windows 213

TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. Del Balso says it’ll be used to scale Tecton’s engineering and go-to-market teams. “We

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

CIO

JANUARY 4, 2024

Furthermore, if the operating system pattern is Linux Oracle Enterprise, the architect would use that pattern first in its design unless technical constraints made the consumption of this pattern suboptimal to accomplish the solution’s goal.

Compliance 261

Compliance Architecture Resources Authentication 261

TechCrunch

JANUARY 26, 2023

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. The company says that this context is essential in terms of evaluating whether a case qualifies as suspicious activity or not.

Banking 240

Banking Compliance Machine Learning Artificial Inteligence 240

CIO

FEBRUARY 16, 2024

Developing a data-led strategy The first, and most critical step in the process is accessing, integrating, and curating the underlying data that will be used to train and power AI models. CIOs must leverage the partner funding programs, specifically offered by CSPs, to fuel their journey to the cloud with an eye on the business case.

Artificial Inteligence 345

Artificial Inteligence Innovation Artificial Intelligence Budget 345

TechEmpower CTO

MARCH 4, 2024

At TechEmpower , we are using LLMs, RAG, fine tuning and other Generative AI techniques to revolutionize a key part of day-to-day operations in healthcare. At TechEmpower , we’ve used LLMs as part of marketing strategies where you can find and classify companies, personalize outreach campaigns and have personalized drip campaigns.

Generative AI 295

Generative AI Software Review Software Engineering Healthcare 295

TechCrunch

DECEMBER 16, 2021

Working together at Uber’s risk team, Yifu Diao and Ming Fang came to realize that with the hypergrowth the company was seeing came fraud challenges. Diao’s first project at the company after starting in 2014 was building a rules engine called Mastermind to fight fraud. It is just now talking about publicly.

Fintech 204

Fintech Software Review Engineering Software Engineering 204

Netflix Tech

NOVEMBER 11, 2022

Many users across many platforms make for a uniquely large attack surface that includes content fraud, account fraud, and abuse of terms of service. Detection of fraud and abuse at scale and in real-time is highly challenging. There are two main anomaly detection approaches, namely, (i) rule-based, and (ii) model-based.

Machine Learning 124

Machine Learning Artificial Inteligence Metrics Training 124

TechCrunch

AUGUST 5, 2021

Founded in 2013, Dataiku is used by data scientists, but also designed for business analysts and other people with less technical backgrounds. It’s been used for a wide array of use cases, including fraud detection, customer churn prevention and supply chain optimization.

Artificial Inteligence 250

Artificial Inteligence Machine Learning B2B Analytics 250

CIO

JULY 20, 2023

Blockchain discussions focus on financial services use cases such as payment processing, investing, and digital currency replacements. In banking, other blockchain-powered use cases include facilitating international transactions, verifying customer identities, securing customer financial data, and offering digital bank notes.

Technical Review 246

Technical Review Banking Innovation Technology 246

TechCrunch

MAY 25, 2021

E-commerce is on the rise, but that also means the risk, and occurrence, of e-commerce fraud is, too. One area on its roadmap for expansion is remediation after the fraud occurs, said Liron Damri, Forter’s co-founder and president. And in any case, fraud in e-commerce is not exactly going away.

Insurance 255

Insurance Authentication Retail Tools 255

KitelyTech

AUGUST 26, 2023

Banks face a lot of potential fraud, which is why they have large departments and government agencies dedicated to fighting fraud. However, the number of daily transactions happening around the world makes it difficult to catch fraud as it happens. That’s why machine learning is being used to make fraud detection more efficient.

Machine Learning 52

Machine Learning Artificial Inteligence Banking System 52

TechCrunch

MAY 17, 2023

Bolttech’s Series B is closed to new interest from the market, but we continue to engage with the investor community in case of future opportunities,” he told TechCrunch. Group CEO Rob Schimek said the current funding is part of the same round. Bolttech bills itself as one of the world’s leading embedded insurance providers.

Insurance 245

Insurance Artificial Inteligence Artificial Intelligence Generative AI 245

TechCrunch

AUGUST 24, 2023

They also warn scraped data can be used for unauthorised political or intelligence gathering purposes — including by foreign governments or intelligence agencies. And be used to pump out unwanted direct marketing or spam. “Ultimately, we encourage individuals to think long term,” they add.

Media 220

Media Social Data Generative AI 220

CIO

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Airlines frequently use predictive analytics to set ticket prices reflecting past travel trends.

Analytics 363

Analytics Data Artificial Inteligence Healthcare 363

OTS Solutions

AUGUST 16, 2023

AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations. They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. How and Where AI and ML Used in Application Modernization 1.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

JUNE 16, 2023

The last 10% still run on the mainframe, but Vaughan plans to phase that out and modernize the company’s legacy applications for the cloud using a combination of microservices, serverless technology, DevSecOps practices, and lift-and-shift strategies. As for AI chatbots, Vaughan didn’t see much of a business case prior to using them.

Retail 246

Retail Microservices Analytics Fintech 246

CIO

APRIL 13, 2023

For instance, if you start with a Monet painting and use an extended generative AI model trained on all Monet artwork and complementary artists, you can create an input dataset that includes images by the artist. For example, model trainers can use attention maps to visualize which parts of an input image are most important for the output.

Generative AI 227

Generative AI Artificial Inteligence Technical Review Artificial Intelligence 227

Confluent

FEBRUARY 25, 2020

Fraud detection, payment systems, and stock trading platforms are only a few of many Apache Kafka® use cases that require both fast and predictable delivery of data. For example, detecting […].

Examples 145

Examples System Data Scalability 145

TechCrunch

JANUARY 31, 2022

As is commonly the case, data sets used inside companies almost always come from diverse sources and in different, unstructured formats. But if it can be done, there are all sorts of benefits, especially in finance, such as fraud detection, KYC/AML checks etc. Connecting them up can lead to a very large headache.

Serverless 246

Serverless Data Business Intelligence AWS 246

Cloudera

NOVEMBER 16, 2020

Well, it is International Fraud Awareness Week, focused on promoting fraud prevention and education. Maybe I am naïve but I feel a bit sad that there is a need for “fraud week”. The insurance industry has a long and intimate relationship with fraud in many different ways. This means Insurance fraud costs the average U.S.

Insurance 97

Insurance Data Machine Learning Artificial Inteligence 97

Tenable

MARCH 29, 2024

Check out new guidance for banks on combating AI-boosted fraud. gov’t: AI is empowering financial fraudsters Saying that artificial intelligence is supercharging financial fraud, the U.S. gov’t: AI is empowering financial fraudsters Saying that artificial intelligence is supercharging financial fraud, the U.S. And much more!

Systems Review 67

Systems Review Weak Development Team Banking System 67

TechCrunch

SEPTEMBER 8, 2022

The startup is building a platform using synthetic DNA to store digital data, and has teamed up with storage vendor Seagate Technology for a research collaboration to advance its automated DNA storage and computation platform. Catalog , a Boston-based startup, has come up with a novel way of solving the problem.

Storage 206

Storage Artificial Inteligence Data Artificial Intelligence 206

Coforge

NOVEMBER 1, 2023

Discover the best use cases of Microsoft Copilot for banks, including document assistance, fraud detection, customer service, loan processing, and more. Increase operational efficiency and integrate seamlessly with other Microsoft products.

Banking 52

Banking 52

CIO

AUGUST 7, 2023

With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack. According to research firm Forrester, 94% of U.S.

Data 243

Data Agile Government Cloud 243

Palo Alto Networks

NOVEMBER 13, 2023

They’ve invested heavily in security by building complex security operations centers (SOCs) that use an abundance of security tools to generate and collect vast amounts of data from across the organization. If there is one thing that most SOCs can agree on, it’s likely that there is no shortage of security tools and data to use.

Policies 126

Policies Analysis Metrics Innovation 126

TechCrunch

FEBRUARY 17, 2021

. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.” Using a SQL-like query language (GSQL), these customers can use the company’s services to store and quickly query their graph databases.

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

TechCrunch

SEPTEMBER 30, 2022

“We created Airplane to make it easy to take these one-off engineering operations and turn them into tools anyone at a company can use.” ” Building an app using Airplane. “Disney used to make content, now it also has to run Disney+. Banks used to store money, now they compete on their apps.

Tools 185

Tools Company Metrics Engineering 185

OTS Solutions

AUGUST 16, 2023

AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations. They can be used in several areas, including natural language processing, image recognition, predictive analytics, and behavior tracking. How and Where AI and ML Used in Application Modernization 1.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Cloudera

JULY 18, 2022

In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that can achieve neck-breaking performance at scale. Use case recap. Data decays! Apache Flink.

Analytics 86

Analytics Data Applications System 86

Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. There is a cost associated with an intervention into a transaction that is incorrectly flagged as fraud and it can erode customer trust. a Hive Table).

Machine Learning 110

Machine Learning Artificial Inteligence Training Analysis 110

CTOvision

APRIL 19, 2020

From autonomous vehicles, predictive analytics applications, facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI are many. Read Kathleen Walch’s article about the seven patterns of AI. Those who have implemented hundreds or even […].

Virtualization 131

Virtualization Analytics Applications Artificial Intelligence 131

Confluent

MARCH 30, 2022

From fraud detection and predictive analytics, to real-time customer experiences and cyber security, stream processing has countless benefits for use cases big and small. By unlocking the power of continuous […].

Analytics 87

Analytics 87

Cloudera

JUNE 28, 2022

We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection. The use case.

Analytics 81

Analytics Machine Learning Artificial Inteligence Cloud 81

TechCrunch

MARCH 15, 2021

DeepSee.ai , a startup that helps enterprises use AI to automate line-of-business problems, today announced that it has raised a $22.6 The third tool, DeepSee Advisor , meanwhile focuses on using text analysis to help companies better understand and evaluate their business processes.

Artificial Inteligence 240

Artificial Inteligence Insurance Machine Learning Systems Review 240

Trigent

APRIL 23, 2021

As per the Insurance Fraud Bureau, there has been one insurance scam every minute during the U.K.’s Things are equally bad in the United States, where insurance fraud doubled to $100 billion last year. Here’s how it’s helping the insurance sector prevent fraud and minimize risks. ’s pandemic.

Analytics 86

Analytics Insurance Technical Review Media 86