Intelligent process mining

Together with

Though not an AI story. This article has revealed that some users approximate location settings with Telegram. I do not use Telegram and do not recommend using it either.

Visa corporation now uses generative AI to catch suspicious credit card use. Known as enumeration attacks, fraudsters steal $1.1 billion annually using this technique, according to Visa.

While TikTok already labels content made with TikTok AI, it’s started automatically labeling AI-created content made on other platforms–like OpenAI’s DALL-E–with “AI-generated” to notify users that it was made with AI.

Boost Your Marketing Performance with Anyword

Trusted by over 1M marketers, Anyword's AI generates optimized content trained on your marketing channels, with predictive scoring for any copy, channel, and audience – so you don’t have to guess what content will perform best.

Try it now!

Deep Mind’s Alpha Fold has shown great promise in identifying possible protein configurations and other biological research.

California and Colorado have adopted regulations addressing automated decision-making in the context of consumer privacy. These regulations give consumers the right to opt-out of AI systems that significantly impact their lives, such as in hiring or insurance.

A new survey paper titled "Reinforcement Learning for Generative AI" was published on arXiv on August 28, 2023. It provides a comprehensive review of how reinforcement learning is being used to enhance generative AI models in areas like text generation, computer vision, and large language models.

"Generative AI in the Wild: Prospects, Challenges, and Strategies" was published on arXiv on April 3, 2024. It investigates how users perceive and utilize Generative AI in real-world creative scenarios, uncovering the prospects, challenges, and strategies involved in the human-AI co-creation process.

Hugging Face has released LeRobot an open source robotics library in PyTorch.

Midnight Day is an all-in-one AI alarm app.

Braudit a career life AI coach.

Yep.so is a AI landing page builder.

Prompt For Business

Prompt for recreation

A captivating illustration of a gondola seamlessly integrated into a mesmerizing pattern of black and white stripes. The gondola, with its intricately detailed head and elongated body, appears to be moving or morphing into the uniform stripes that extend from the bottom to the top of the image. The perfect contrast between the gondola's stripes and the background stripes heightens the optical illusion, creating a sense of depth and motion.

Intelligent Process Mining

Intelligent Process Mining (IPM) is an advanced approach to process mining that incorporates artificial intelligence (AI) techniques to discover, analyze, and optimize business processes. Process mining itself is a discipline that combines data science and process management to extract knowledge from event logs recorded by information systems.

IPM relates to AI in several ways:

1. Machine Learning: IPM uses machine learning algorithms to identify patterns, anomalies, and trends in process data. These algorithms can learn from historical data and improve their performance over time, enabling more accurate process discovery and analysis.

2. Natural Language Processing (NLP): Some IPM tools use NLP techniques to extract process-related information from unstructured data sources, such as emails, chat logs, and documents. This allows for a more comprehensive analysis of end-to-end processes.

3. Predictive Analytics: AI-powered IPM can predict future process outcomes, such as the likelihood of a process deviation or the expected completion time of a case. This helps organizations proactively address potential issues and optimize their processes.

4. Prescriptive Analytics: IPM can use AI to recommend actions for process optimization, such as reallocating resources, adjusting process parameters, or automating specific tasks. This enables data-driven decision-making and continuous process improvement.

5. Robotic Process Automation (RPA): IPM can identify processes or tasks that are suitable for automation using RPA. By integrating AI with RPA, organizations can create intelligent automation solutions that adapt to changing process conditions and learn from their interactions with humans and systems.

Intelligent Process Mining leverages AI techniques to enhance the capabilities of traditional process mining, enabling organizations to gain deeper insights, make better decisions, and optimize their processes more effectively.