Machine Learning
How AI Can Improve Fraud Detection & Prevention in 2024?
Digital technologies offer more convenient ways to perform our daily tasks. We buy the things we need via online platforms, pay our electricity bills via banking applications, take out an insurance policy with just a few clicks and so on. On the other hand, online platforms also offer anonymity to thieves.
Model Monitoring: Definition, Importance & Best Practices (2024)
As we pointed out in our article, Machine Learning Lifecycle MLOps systems have a lifecycle that includes various processes, and despite all the effort and time, creating an effective MLOps is not guaranteed. According to McKinsey, only 36% of companies can deploy MLOps.
Data Mining: What is it & Why do businesses need it in 2024?
The total volume of data created worldwide is expected to reach 149 zettabytes by 2045.
Generative AI: 7 Steps to Enterprise GenAI Growth in 2024
Generative AI is a new buzzword that emerged with the fast growth of ChatGPT. Generative AI leverages AI and machine learning algorithms to enable machines to generate artificial content such as text, images, audio, and video content based on its training data (llm data).
Top 6 Applications of Machine Learning in Process Mining in '24
For more than a decade, machine learning has been applied to traditional process mining . Today, many vendors claim to offer AI-powered process mining software which leverages machine learning.
TinyML in 2024: Machine Learning at the Edge
From manufacturing to retail, applications of edge analytics transforming industries and the edge computing market is expected to reach ~$61B by 2028 with a compound annual growth rate of 38.4%. However, the current approach to edge analytics involves machine learning models trained on the cloud.
In-Depth Guide to Web Scraping for Machine Learning in 2024
~54.7 billion people around the world have been recorded to use the internet, creating 1.7MB of data every second. Crawling this exponentially growing volume of data could provide many opportunities for breakthroughs in data science.
Machine Learning Outsourcing in 2024: Benefits & Challenges
According to the “AI adoption in the Enterprise 2022” survey by O’Reilly, around 70% of organizations are using or evaluating to use of AI. Other statistics on AI adoption clearly show that there is a significant interest in AI and ML in businesses as AI/ML provides numerous benefits through a diverse set of applications.
Differential Privacy for Secure Machine Learning in 2024
Training datasets of machine learning models frequently contain sensitive data from individuals. This raises concerns over data privacy because it is possible in some cases for attackers to obtain information about training data through model outcomes.
43 Back Office Automation Examples in 2024: RPA, WLA, AI/ML
Although back-office employees do not directly face the customer, 60% of customer dissatisfaction originates from the back-office. Many tasks in IT, HR, and finance are repetitive, data-based, and labor intensive, which makes the back-office a great candidate for automation using AI and RPA, and workload automation.