Knowledge Hut

APRIL 26, 2024

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. A d ataset is used to draw better insights and get a clear picture of a particular problem statement. Given below are some datasets that can be used for NLP use cases.

Datasets 81

Datasets Machine Learning Deep Learning Finance 81

The Modern Data Company

JULY 24, 2023

By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases. Understanding Chaining Data Products Chaining data products refers to the process of integrating and interconnecting multiple data products to create a data ecosystem that supports complex use cases.

Data Lake 85

Data Lake Transportation Algorithm Data 85

U-Next

FEBRUARY 16, 2023

In the current era of technological advancements, cyber frauds are prevalent crimes that mutilate the economic backbone. The main target for cyber frauds is the financial sector and, on the hit list is the banking industry which is most exposed to these crimes. Regulators, time and again publish the compliance norms to adhere to.

Banking 74

Banking Systems Education Government 74

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.

Process 86

Process Kafka Scala SQL 86

Knowledge Hut

APRIL 25, 2024

Although the term is new, because of the benefits of big data , it has been used since 1990s. The banking sector uses big data to better understand its clients. Fraud Detection Detecting fraud and avoiding shady transactions is one of the most challenging problems the banking sector is now experiencing.

Big Data 52

Big Data Entertainment Transportation Banking 52

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 Cloud Computing Media Education 97

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.

Process 81

Process Kafka SQL Machine Learning 81

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).

Deep Learning 110

Deep Learning Machine Learning Raw Data Data Ingestion 110

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 […].

Kafka 145

Kafka Systems Data 145

Knowledge Hut

NOVEMBER 19, 2023

Gone are the days when businesses used to manually process data in order to forecast market demand, assess risks, etc. Thus, using ML applications, businesses can automate complicated tasks. Tackling Real-World Issues Businesses can use machine learning applications for predicting outcomes or categorizing data.

Machine Learning 52

Machine Learning Deep Learning BI Datasets 52

Knowledge Hut

OCTOBER 27, 2023

There are numerous techniques we can use to perform an efficient EDA, the majority of which are graphical in nature.   The specific graphical techniques used in EDA tasks are quite simple, for example: Plotting raw data to gain relevant insight. It can also be used for better resource allocation and faster response time.

Data Science 69

Data Science Coding Project Datasets 69

ProjectPro

JANUARY 31, 2023

Read this blog to learn more about how the insurance industry benefits from implementing AI and ML solutions, which highlights the most practical applications and real-world use cases of machine learning in insurance and how it brings a new level of precision and effciency to the industry.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Knowledge Hut

FEBRUARY 28, 2024

It includes vast and complex structured, semi-structured, and unstructured data that cannot be processed using traditional data processing methods. When it comes to normal data sets, you would probably use Excel formulas for most of your analysis. At the most, you might use some visualization tools to make it easier.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Precisely

MARCH 12, 2024

Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. Enriched customer data and best-in-class customer engagement technology enable companies to deliver outstanding CX at scale, using automation.

Insurance 52

Insurance Telecommunication Retail High Quality Data 52

Databand.ai

JULY 6, 2023

Real-time processing is important for applications such as fraud detection, social media monitoring, and IoT analytics. Learn more in our detailed guide to data pipeline monitoring 7 Use Cases and Examples for Data Pipelines Let’s review some common scenarios where data pipelines can be applied.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

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 […].

Process 87

Process 87

Knowledge Hut

MARCH 18, 2024

In this case, the Blockchain as a Service is useful. In this article, I have made an attempt to cover all important aspects related to Microsoft Azure Blockchain service, including benefits, use cases, and applications. When it comes to adjusting to the blockchain revolution, this will provide them with an extra edge.

Pharmaceutical 52

Pharmaceutical Healthcare Manufacturing Cloud Computing 52

Knowledge Hut

JULY 24, 2023

SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. However, SQL is more comprehensive than these traditional uses. SQL Certification Course will help you leverage data to extract useful business insights through data analytics using SQL.

SQL 52

SQL Database Process NoSQL 52

The Modern Data Company

JULY 24, 2023

By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases. Understanding Chaining Data Products Chaining data products refers to the process of integrating and interconnecting multiple data products to create a data ecosystem that supports complex use cases.

Data Lake 52

Data Lake Transportation Algorithm Data 52

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Algorithmic Trading Algorithmic trading is an exciting real-world application of data science in finance.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Knowledge Hut

APRIL 26, 2024

In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles. This is achieved using different methods and languages that we will eventually address in the alternative portion.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Lyft Engineering

APRIL 21, 2023

Building a large scale unsupervised model anomaly detection system — Part 1 Distributed Profiling of Model Inference Logs By Anindya Saha , Han Wang , Rajeev Prabhakar Introduction LyftLearn is Lyft’s ML Platform. In part 2, we will focus on how we use this profiled data for anomaly detection.

Systems 105

Systems Building Machine Learning Datasets 105

Cloudera

FEBRUARY 7, 2024

In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room. Although his father had to get used to the resulting loss of privacy, he accepted the oversight since it mitigated some of his son’s worries.

Medical 99

Medical Healthcare Hospitality Insurance 99

Snowflake

MARCH 28, 2024

Snowflake Data Clean Rooms make it easy to build and use data clean rooms in Snowflake, with no additional access fees set by Snowflake. Snowflake Data Clean Rooms remove the technical and financial barriers, allowing companies of all sizes to easily build, use and benefit from data clean rooms. What is a data clean room?

Media 77

Media Retail Pharmaceutical Hospitality 77

AltexSoft

JUNE 25, 2022

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?

Insurance 52

Insurance Hospitality Machine Learning Education 52

The Modern Data Company

JULY 24, 2023

By chaining data products together, organizations can unlock new levels of data-driven decision-making and drive impactful use cases. Understanding Chaining Data Products Chaining data products refers to the process of integrating and interconnecting multiple data products to create a data ecosystem that supports complex use cases.

Data Lake 52

Data Lake Transportation Algorithm Data 52

Snowflake

OCTOBER 16, 2023

In the midst of funding cuts, enrollment benefit fraud or improper billing can pervade the healthcare industry, whether by illegitimate recipients or by predatory healthcare providers and agencies. As individuals and families qualify for multiple programs, states tend to use the same technology for combined eligibility determinations.

Healthcare 77

Healthcare Programming Hospitality Food 77

Knowledge Hut

APRIL 24, 2024

Tools such as HTML, CSS, JavaScript, React, and Firebase are used in this project. User Authentication: Users can create accounts, log in, and reset their passwords using Firebase authentication. Realtime Communication: Instructors and students can communicate in real time using Firebase Realtime Database. cvtColor(image, cv2.COLOR_BGR2GRAY)

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

ProjectPro

FEBRUARY 8, 2023

Did you know thousands of businesses, including over 80% of the Fortune 100, use Apache Kafka to modernize their data strategies? Apache Kafka is the most widely used open-source stream-processing solution for gathering, processing, storing, and analyzing large amounts of data. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Medical Healthcare 52

Cloudera

SEPTEMBER 15, 2021

Whether the task involves self-driving vehicles, online transaction fraud prevention or responding to alerts from health-monitoring devices, there’s no time to waste. In either case, an automated response — applying the brakes, dispatching an ambulance — can avert disaster. Fast-changing Data.

Medical 117

Medical Retail Datasets Algorithm 117

Snowflake

MARCH 4, 2024

In this edition, we’ll hear how Maria Marti, founder and CEO of ZeroError , used her experiences as an engineer and an executive to build a team and create the AI analytics assistant she always wanted — but never had. ZeroError is an enterprise AI platform designed to detect errors and fraud in data. My team and my customers.

BI 73

BI Business Intelligence Building Programming 73

Knowledge Hut

JANUARY 19, 2024

People first used the term in a modern context at the prestigious Massachusetts Institute of Technology (MIT). Governments began to intervene, enacting legislation such as the United States Computer Fraud and Abuse Act. AT&T stated in the mid-1970s that it lost $30 million per year to telephone fraud, including phreaking.

Government 52

Government Utilities Recruitment Accessible 52

Knowledge Hut

JANUARY 29, 2024

Data wrangling offers several benefits, such as: Usable Data: Data wrangling converts raw data into a format suitable for analysis, ensuring the quality and integrity of the data used for downstream processes. OpenRefine: An automated data cleaning tool that requires some programming skills, useful for more complex data wrangling tasks.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Uber Engineering

DECEMBER 10, 2019

Michelangelo , Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting rider demand , fraud detection , food discovery and recommendation for Uber Eats , and improving the accuracy of … The post Productionizing Distributed XGBoost to Train Deep Tree Models with Large (..)

Food 121

Food Machine Learning Data Engineering 121

Precisely

MARCH 7, 2024

This article focuses on some fundamental prerequisites for the successful use of generative AI in the claims management process. AI technology can ingest and synthesize large volumes of both structured and unstructured data very quickly, offering claims guidance that helps adjusters to better assess cases.

Insurance 72

Insurance Process Medical Data Governance 72

Snowflake

DECEMBER 5, 2023

To ensure data remains protected from unintended use, Snowflake Cortex (now in private preview) gives users access to industry-leading LLMs (e.g., By integrating Snowflake with LLMs from external services like Amazon Bedrock, developers can choose from a wide array of LLMs to plug-and-play based on their specific use cases.

AWS 93

AWS Amazon Web Services Government Cloud Computing 93

Cloudera

SEPTEMBER 1, 2021

Some enterprises inside that 33 percent group are using hybrid data platforms that span public clouds and on-premises data centers. Here’s one example: Deutsche Telecom delivers telecom services to 150 million global customers, and preventing network fraud is a major challenge for the company.

Hadoop 96

Hadoop Data Utilities Consulting 96