- Adding "why" to AI - Applying #CausalAI to business challenges - Leading @GeminosAI Community Strategy Book: https://xitter.cf/t.co/EXGpPI8Blv
Cambridge, MA
Joined September 2011
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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
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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
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/thefutur…
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
We live in a world where data products don't just exist independently. Maybe an unpopular opinion, I will say it. Data Mesh is interesting, but I'm not convinced most organizations have achieved the maturity to enable it. #GartnerDA
👉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
ALT Traditional correlation-based AI will infer that ice cream sales and drownings are causal. #CausalInference will uncover the actual strengths of the relationships
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
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Fact or Fiction?
👉#CausalAI is the future of AI 👈
#gartnerda #CausalInference #Causality #DataScience
MyView: Fact
Traditional #AI is based on correlations while #CausalAI helps to understands the causal relationships between variables and outcomes.
#Gartnerda #CausalInference #DataScience
Upcoming Webinar:
geminos.ai/webinar/Mar2023dk
It's my #Twitterversary! I have been on Twitter for 12 years, since 22 Sep 2011 (via @twi_age).
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
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.
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/2022/10/3… via @metaOpenSource
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
To #Cloud nay sayers: Taking a half an hour flight will cost you a lot more than driving! When you take an 8 hours flight, things change. How far you want to go? How fast you want to move? How much do you want to invent vs just operate what you have? These are the key questions.
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: 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
🎥 WATCH: #Zoomtopia is live!
New products, innovations, and happy surprises. Tune into the keynote now! 🎉
xitter.cf/i/events/1585629702793…
Day 1 of the #CDSM22 meeting, featured #Causality trailblazer, Professor Judea Pearl @yudapearl in the keynote.
Day 2 is off to a great start and will feature a keynote by Silvia Chiappa @csilviavr of @DeepMind &@uclcs
#CausalTwitter #MachineLearning #ArtificialIntelligence
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
"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
Epic AI Fails — A List of Failed Machine Learning Projects - analyticsindiamag.com/epic-a…
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#machinelearning #ai
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
At the #CDSM22 meeting, @emrek from @MSFTResearch takes the stage. Discussing the #CausalAI questions that organizations are asking along with his research.
#Causality #CausalTwitter #MachineLearning #ArtificialIntelligence
