Top Tweets for #RealTimeML
🎟️ Register here:
https://t.co/4Eg33LjC6w
#MLOps #MachineLearning #FeatureEngineering #DataEngineering #RealtimeML #Chronon #Zipline #AIEngineering
Day 18 of #TheAIandDataStreak100 🔥
Real-Time ML — When Predictions Can’t Wait ⏱️📈
Batch: Train → Predict later
Real-Time: Train → Predict now
Key stack:
⚡ Kafka/Pulsar/Redis
⚡ Online feature stores (Feast)
⚡ FastAPI / TorchServe
⚡ Drift monitoring
#MLOps #RealTimeML

This article explores https://t.co/ukhSZ4HudE use cases and solutions for building real-time machine learning applications with Python.
#MachineLearning #Python #RealTimeML #AI #DataScience #Automation #TechInnovation #DeepLearning #CrestInfotech 🚀🤖
Fintech companies: Fraud detection needs an overhaul in a real-time, AI-driven world. Relying on outdated approaches puts both you and your customers at risk. Let’s build safer systems together.
#FraudDetection #Fintech #RealTimeML #machinelearning
Excited to introduce our first speaker for the "Data Streams x ML" event on May 3 in Bangalore: @gunnarmorling! If you're interested in streaming, you simply can't miss Gunnar's talk. Register here: https://t.co/cPDugw9GHb
#realtimeml

Real-time ML has evolved through various phases, starting with Real-time Predictions to Real-time Features, and now, Real-time Learning. Where are you on this journey?
#RealTimeML

Attending @sama's conversation with @satyan and participating in an exclusive brainstorming session at IIIT was an incredible experience. Kudos to Satyan for asking thought-provoking questions, and Sam for sharing exceptional insights.
#RealTimeML #SamAltman

Have you been seeing ‘#RealtimeML’ everywhere but didn’t know why and most importantly how to build it?
Read our view about the “buzzword” of 2023.👇 https://t.co/XuesCg5LGq
Get ready for the future 🚀
Real-Time Machine Learning is set to be the buzzword of 2023.
Learn more in our recent article 👇👇 https://t.co/XuesCg5LGq #MachineLearning #RealTime #2023Trends #realtimeML
https://t.co/KM4715p9Go
And it’s a wrap to my Ph.D. in Streaming Anomaly Detection! Thanks to Bryan Hooi & everyone else who has helped along the way 🙂
Excited to share that I am #hiring for multiple roles to build out a #realtimeML platform. If you are interested, let's chat!
Maths for ML in a real-time setting, where things need to run fast (e.g. financial trading)
#1 good model that runs slow = 💩
#2 okish model that runs fast = 👌
#3 good model that runs fast = 💰
#machinelearning
#realtimeml
Read our latest Q&A that addresses some common questions businesses have when contemplating using real-time machine learning decisioning in their workflows!
https://t.co/XrxhamkHYZ
#MachineLearningDecisioning #RealTimeML #NextBestAction
What is Next-Best-Action and how is it used to create a more personalized user journey? Read more in our latest blog: https://t.co/t6vYpwZS8v
#NextBestAction #RealTimeML #DynamicDecisioning
Learn why data automation is important for Real-Time Machine Learning. Join us at the @Ascend_io Data Automation Summit next week! Register here: https://t.co/92b7s9kY9j
#DataAutomation #MachineLearning #RealTimeML
Leverage the power of both real-time features and batch historical features to drive increases in conversions for onsite decision-making.
https://t.co/SDJddqeRV5
#RealTimeML #BatchData #MachineLearning
Vidora pushed out enhancements primarily focused around the Decision SDK. These new features expand the available use cases and make it easier to deploy the SDK.
https://t.co/rEXAo20sRu
#RealTimeML #MachineLearning #DecisionSDK
We are excited to share that Cortex contains a new set of functionality which makes it easier for businesses to leverage batch and real-time user data for experiences like dynamic decisioning.
https://t.co/fdi3EH0q1r
#MachineLearning #RealTimeML #DynamicDecisioning
Our goal with the Vidora Decisioning SDK is to empower teams to take full advantage of their real-time and batch data to make the best decisions for every user. Read more in our blog below!
https://t.co/NVDxXSCcaK
#DecisioningSDK #MachineLearning #RealTimeML
Dynamic decisioning, powered by machine learning, is a strong framework to increase conversions and business value. Read more about dynamic decisioning, Next-Best-Offer and Next-Best-Action below.
https://t.co/geAJILMqwQ
#DynamicDecisioning #MachineLearning #RealTimeML
Come checkout my new post on @TDataScience on how @Playtika_Ltd is using Kafka Streams to increase throughput and fault tolerance of its machine learning endpoints
#towardsdatascience #kafkastreams #mlops #mlengineer #dataengineering #cnvrg #playtika
https://t.co/tWjc4TMobw
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