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At the #CDSM22 meeting, Emre Kıcıman from Microsoft Research takes the stage. Discussing the #CausalAI questions that organizations are asking along with his research. #Causality #CausalTwitter #MachineLearning #ArtificialIntelligence

Great job @PHuenermund and the rest of the @causal_science for a terrific Day 1 of the #CausalAI conference, #CDSM22! Happy that GeminosAI is a sponsor! #DataScience #MachineLearning #CausalTweets

"78% of #AI/#ML projects stall at some stage before deployment, and 81% of the process of training AI with data is more difficult than they expected" This is why there is a growing interest in #CausalAI - Businesses want to know the "why" behind AI. #CausalTwitter #DataScience

What's the biggest gap in #Causality right now? The gap between academia and business. The two sides speak different languages and have different motivations. #CausalAI #CausalTwitter #MachineLearning #ArtificialIntelligence #CDSM22

Day 1 of the #CDSM22 meeting, featured #Causality trailblazer, Professor Judea Pearl Judea Pearl in the keynote. Day 2 is off to a great start and will feature a keynote by Silvia Chiappa Silvia Chiappa of @DeepMind &@uclcs #CausalTwitter #MachineLearning #ArtificialIntelligence

MyView: Zoom remains just a tool and the stock is back to pre-COVID levels. The company is trying to become a "platform," but faces strong headwinds. Competition like Google & Microsoft already have robust platform. #Zoomtopia #Zoom

On ⁦TV re #Election2022: “The models show… as more #data comes in the models improve.” MyView: Nobody understands the models. #MachineLearning models are black boxes. How do issues cause votes? How’d does X impact vote A? #CausalAI #datascience #causality #causaltweets

MyView on the #cloud: As you get off the starting line as a company do you want to focus on innovation or infrastructure? As a mature organization, do you want a massive organization that isn't focused on customers, or do you want to build a technology footprint? #CloudComputing

Recent Facebook engineering article #CausalAI success. "By using #causal inference and #ML to identify highly active users... we have been able to reduce the number of notifications sent while also improving overall user experience." engineering.fb.com/2022/10/31/ml-… via @metaOpenSource

How many articles start with predicting the end of the #mainframe? The #cloud is the de facto standard for many startups, but on-premises will persist forever. When larger organizations examine #cloudcosts and modernization, status quo makes sense for existing apps.

To deliver meaningful output from #data you need to understand the context of data, the business problem your trying to solve and how the business process works. #CausalAI #Causality

It's my #Twitterversary! I have been on Twitter for 12 years, since 22 Sep 2011 (via Twi Age 🥳).

MyView: There needs to be a business case for the #cloud. If your goal is agility, #CloudComputing is a great platform for spinning up new ideas and testing POCs. Once you understand compute, storage and networking needs, it may make sense to bring back on premises. #HybridCloud

👉More data≠Better #AI 👈 MyView: There is a fallacy that if you can just get enough data your #ML models will be smarter. Instead you need to think about the relationships between variables and outcomes. Hence, #CausalAI is the next big thing in AI #gartnerda #causaltwitter

Fundamental problems with #Data and #AI approaches that require you to rethink your data stack: -Competitors moving quickly -Lack of internal skill -Budget constraints #CausalAI allows you to focus on specific challenges and gathering relevant data. #Gartnerda @CausalInferBot

The future of #AI is #Causality. 🧐 3 things you need to know now! > Collaborating through visual models > Abstracting the complexities of #OpenSource #Causal libraries > How #CausalAI is delivering value today @CausalInferBot #CausalTwitter #GartnerDA linkedin.com/events/thefutu…

MyView: #Microsoft is doing an impressive job of quickly infusing #GPT4 into its existing offerings. It sometimes takes teams multiple quarters or years to integrate emerging tech into existing offerings. Impressive #DevOps practices behind the scenes. #AI #MachineLearning

MyView: We are clearly far from #ChatGPT understanding causal relationship- especially more complex relationships. However, you may be able to work with ChatGPT to think through parts of #Causal model / DAG. #Causality #CausalAI @CausalInferBot #CausalTwitter