If you are curious about the pitfalls you will face when deploying ML in production, this on demand webinar has the issues and answers you will need. https://t.co/r4ODy98xwE #ML#AI#MachineLearning
We're beginning to see glimpses of #artificialintelligence's benefits, but what is holding it back? @Forbes explores why current management methods of #machinelearning code, data sets and models are creating barriers for broader adoption: https://t.co/JCfFhPXXql #datascience
Why do roughly 80% of #machinelearning projects fail to make it into production? B/c of the "7 Deadly Sins." Hear how to avoid them during our CEO @SivanMetzger's session at 9:30am ET on 12/6 at @Business_AI's #AISummit#NewYork: https://t.co/rklbjpPfJ5 #AI
What do you know about the new practice, #MLOps, that is helping companies successfully deploy and scale #machinelearning across their entire businesses? Learn more here: https://t.co/CNqf9cALGr #datascience#datascientists#AI