Cloudera

OCTOBER 4, 2023

For example: In manufacturing, fast-moving data provides the only way to detect — or even predict and prevent — defects in real time before they propagate across an entire production cycle. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets.

Telecommunication 84

Telecommunication Data Warehouse Java Manufacturing 84

Cloudera

MAY 5, 2022

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. Read our ebook : How Agencies Can Combat Fraud, Waste and Abuse by Leveraging an Infrastructure Approach.

Machine Learning 96

Machine Learning Government Healthcare Data Analytics 96

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

Cloudera

SEPTEMBER 1, 2021

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. To better identify fraud patterns, the company’s analysts needed a way to capture and analyze a greater volume of data.

Hadoop 96

Hadoop Data Utilities Consulting 96

Edureka

APRIL 19, 2024

Even though recovering from a social engineering attack is much more difficult, preventing one can have far less disastrous effects. We’ll go over everything you need to know in this blog, including: Table of Contents What Is Social Engineering? Best Practices to Prevent Social Engineering Attacks Take care of what you divulge.

Engineering 52

Engineering Media Banking Education 52

Cloudera

NOVEMBER 18, 2020

Fraud awareness in the Financial Services industry is more important than ever. The report reveals 68% of respondents have observed an increase in payment fraud schemes (vs. Eliminating functional data silos is critical to establishing a horizontal and holistic approach to financial crime prevention. 1- Break down the Silos.

Banking 103

Banking Machine Learning Electronics Data 103

Cloudera

DECEMBER 14, 2021

If this information is analyzed efficiently, fraud can be prevented in real-time. . The post AI and ML: No Longer the Stuff of Science Fiction appeared first on Cloudera Blog. Internal Revenue Service (IRS) is a bureau of the U.S. Department of Treasury that needs to quickly analyze petabytes of data across hundreds of servers.

Transportation 107

Transportation Telecommunication Banking Data Lake 107

Knowledge Hut

MARCH 27, 2024

In this blog, that’s what my main motive is–to make you aware of black hat hackers and how you can prevent yourself from falling under the traps of one. Laws and Penalties Concerning Black Hat Hacking After understanding the meaning of the black hat, let’s get to some practices to prevent one. What is Black Hat Hacking?

Retail 52

Retail Government Consulting Accessible 52

Cloudera

SEPTEMBER 29, 2021

Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Medical 79

Medical Government Hospitality Electronics 79

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. These tools are integrated into the system's machine learning and automation engine to facilitate real-time fraud detection, intrusion detection, and forensics.

Hadoop 52

Hadoop Project Datasets Big Data 52

AltexSoft

SEPTEMBER 19, 2023

Social media and travel blogs contain valuable information about travelers’ experiences, recommendations, preferences, and popular upcoming events. Fraud detection driven by analytics helps pinpoint subtle and hidden events in user behavior that can signal possible risks, such as fake bookings and chargebacks.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

OCTOBER 29, 2023

Till then, pick a topic from this blog and get started on your next great computer science project. Detection of Credit Card Fraud System With the increase in online shopping and transactions, credit card fraud has become a major problem. Source Code: Credit Card Fraud detection 7. Source Code: Auction portal 6.

Computer Science 111

Computer Science Coding Project Hospitality 111

Cloudera

FEBRUARY 24, 2021

Trend #3: Fighting Fraud with Data and Machine Learning. Fraud prevention is another area where the financial services industry will benefit from leveraging real-time data and machine learning. The COVID-19 crisis was a breeding ground for fraud. 60% in May) and 85% anticipate a further increase over the next year. .

Banking 59

Banking Cloud Machine Learning Cloud Computing 59

Databand.ai

JUNE 22, 2023

To maintain data integrity, measures must be implemented to prevent corruption, loss, or unauthorized access to sensitive information. For instance, if you have an orders table referencing customer IDs from the customer’s table, referential integrity prevents the addition of an order with an invalid customer ID.

Data Integration 52

Data Integration Medical Healthcare Education 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. You can find a lot of useful blogs and other stuff to help you understand the various topics. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB).

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. The post Announcing the 2021 Data Impact Awards appeared first on Cloudera Blog. DATA FOR ENTERPRISE AI. PEOPLE FIRST.

Food 66

Food Healthcare Government Medical 66

Cloudera

DECEMBER 16, 2020

Also, every dose administered will likely need to be reported to the US Centers for Disease Control and Prevention (CDC). The post The role of data in COVID-19 vaccination record keeping appeared first on Cloudera Blog. Learn more about how to deliver better health outcomes and lower the total cost of care with Cloudera. .

Pharmaceutical 57

Pharmaceutical Healthcare Electronics Transportation 57

Cloudera

DECEMBER 20, 2022

For example, predictive maintenance, based on machine learning, will enable utility companies to take preventative action that avoids large-scale power outages and costs. The post Optimizing the Energy Sector with Data Analytics appeared first on Cloudera Blog. As always, please provide your feedback in the comments section below.

Data Analytics 79

Data Analytics Retail Machine Learning Recruitment 79

Cloudera

SEPTEMBER 7, 2018

Early detection is critical to prevent considerable damage arising out of insider threats to the business. Accenture and Cloudera have joined hands to help enterprises move from a post-incident forensic approach to a proactive, preventive method to insider threat. The blog is the joint property of Accenture and Cloudera.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49

Edureka

JULY 18, 2023

In this blog, we delve into the fascinating sphere of AI and its practical implications, showcasing how this revolutionary technology has quietly permeated the fabric of our existence. This blog will show you the Top 8 artificial intelligence examples. They examine transaction data from the past to discover trends and spot mistakes.

Entertainment 40

Entertainment Algorithm Media Utilities 40

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. It can also prevent unauthorized data access, decrease operational costs, and greatly increase business agility for multiple users.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Databand.ai

JULY 19, 2023

However, it is unsuitable for many modern applications, especially those that require real-time data updates, such as fraud detection or stock trading platforms. It also helps to prevent data-related issues and conflicts. Batch processing is a tried and tested method of data ingestion, offering simplicity and reliability.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

ProjectPro

SEPTEMBER 6, 2021

Machine Learning Use Cases in Finance Fraud Detection for Secure Transactions According to a study , banks and other financial organizations spend $2.92 against every $1 lost in fraud as the recovery cost. Credit card fraud detection, for instance, is a proven solution to improve transactional and financial security.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

Cloudera

AUGUST 21, 2020

One is data at rest, for example in a data lake, warehouse, or cloud storage and from there they can do analytics on this data and that is predominantly around what has already happened or around how to prevent something from happening in the future. However, in the context of time and geography, these two events point to a pattern of fraud.

Banking 60

Banking Kafka Cloud Storage Government 60

Cloudera

FEBRUARY 7, 2019

As part of the collaborative effort across both organizations, the first step was to build out a fraud detection and alert system. Through this, the company has gained visibility into fraudulent debit card activity and has executed a prevention program. Check out our customer stories.

Utilities 64

Utilities Big Data Google Cloud Data Analytics 64

U-Next

SEPTEMBER 19, 2022

The blockchain crypto that underpins Bitcoin provides a shared public history of transactions that are arranged into “blocks” and “chained” to prevent manipulation. The booming bitcoin sector is not illegal, even though fraud and unregulated trade have made it impossible for miners to continue mining without worry.

Algorithm 52

Algorithm Electronics Government Process 52

Knowledge Hut

NOVEMBER 18, 2023

Welcome to our blog that will walk you through the world of amazing AI models – different AI model types, impacts on various industries, and great AI model examples of their transformation power. They make it better and faster in matters of managing supply chAIns or detecting frauds.

Medical 52

Medical Machine Learning Datasets Algorithm 52

Edureka

MAY 31, 2023

In this blog, we will explore the features, benefits, and applications of Stream Analytics, with a focus on its implementation in industrial settings and its integration with other services for streaming OTT platforms. This information can then be used to improve the user experience, personalize content, and prevent fraud.

Project 52

Project Manufacturing Retail Data Lake 52

Edureka

JANUARY 24, 2024

Cybersecurity measures are crucial to defend against various forms of cybercrime, including ransomware attacks, identity theft, fraud, and other malicious activities. This blog will guide you find different Cybersecurity career paths throughout the domain. Cybercrime has become a lucrative industry for criminals. Incident Response 3.

Consulting 40

Consulting Computer Science Certification Programming 40

Rockset

APRIL 18, 2023

In high-latency scenarios, fraud goes undetected causing millions in losses, security vulnerabilities are left unchecked giving attackers an open door, recommendations fail to incorporate the latest user interactions becoming irrelevant. By detecting anomalies in real time, immediate actions can be taken to mitigate risk and prevent harm.

Machine Learning 52

Machine Learning Datasets Database Data Pipeline 52

Cloudera

SEPTEMBER 12, 2018

Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera. Seeing an increase in account takeover fraud attempts across the industry , Voya Financial’s digital and security teams collaborated to better monitor and prevent fraudulent attempts on customer funds.

Pharmaceutical 44

Pharmaceutical Banking Amazon Web Services Healthcare 44

U-Next

SEPTEMBER 5, 2022

The blockchain crypto that underpins Bitcoin provides a shared public history of transactions that are arranged into “blocks” and “chained” to prevent manipulation. The booming bitcoin sector is not illegal, even though fraud and unregulated trade have made it impossible for miners to continue mining without worry.

Algorithm 40

Algorithm Electronics Government Process 40

Cloudera

MAY 16, 2019

The post Cloudera & Informatica – Next-Gen Analytics Partners appeared first on Cloudera Blog. Visit our partner website to learn more about the Informatica and Cloudera partnership.

Data Warehouse 40

Data Warehouse Government Data Preparation Data Governance 40

Cloudera

FEBRUARY 16, 2018

Cloudera’s customers have solved real-world problems from predicting and preventing fraud, to helping manufacturing companies predict failure rates of machines before systems go down, to detecting cyber threats and fighting cybercrime, and even accelerating life science research. appeared first on Cloudera Blog.

Manufacturing 44

Manufacturing Cloud Computing Healthcare Machine Learning 44

Cloudera

SEPTEMBER 25, 2018

Booz Allen Hamilton won the Lower Business Risks award for driving a solution that leverages Cloudera to prevent fraud, manage risks, enforce data security, and meet regulatory compliance with tangible results. The post Cloudera spotlights partner success at Strata Data with Partner Impact Awards appeared first on Cloudera Blog.

Amazon Web Services 43

Amazon Web Services Machine Learning Big Data Data 43

DataKitchen

OCTOBER 28, 2021

ML models are being used to aid disease diagnosis like detecting cancer cells, tag photographs in social media, understand speech, identify credit card fraud, increase customer engagement with movie/TV recommendations on video streaming services and much more. Each time a model is updated, it must undergo testing before being deployed.

Coding 52

Coding IT Manufacturing Algorithm 52