simMachines

Explainable AI. Don't sacrifice accuracy for transparency. Similarity Machine Learning SaaS. With Speed, for Scale. Acquired by @inrule in June 2021.

[simMachines @simMachines]

simMachines has joined InRule Technology!

Be sure to visit @InRule and follow us there to stay current on our latest news and announcements!

#ExplainableAI #DecisionAutomation #AI #MachineLearning

[InRule @inrule]

We're one hour away, but it's not too late to join us! Register for our live webinar and discover the power of explainable AI. See the first-ever live demo of InRule’s bias detection technology and how it ensures fairness.

#AI #ML #ExplainableAI #EthicalAI #DecisionAutomation

[InRule @inrule]

New #blog! This post sheds light on ethical AI and discusses our upcoming webinar, Risk and Ethical AI. Read to learn more and attend the webinar!

#Webinar #ArtificialIntelligence #AI #ML

[InRule @inrule]

Thanks to @FortuneMagazine and @ShenLucinda for including our #acquisition of @simMachines in today's Term Sheet! Read it here: https://t.co/t9zvS2sirf

[InRule @inrule]

“We are thrilled to augment our decision platform with @simMachines technology to create the most comprehensive AI solution on the market, while advancing our mission of making automation accessible across the enterprise,” said @RikChomko, co-founder and CEO, InRule.

[InRule @inrule]

“Together, InRule and @simMachines will provide extraordinary decision automation capabilities to data scientists, developers, and citizen developers alike, while delivering actionable insights that foster transparency and trust,” said @RikChomko, co-founder and CEO, InRule.

[simMachines @simMachines]

OPTin Advertising Network to use SimMachines Artificial Intelligence
https://t.co/jiUSgZiRfx

[simMachines @simMachines]

Similarity-based #MachineLearning has proven to reduce the time invested in manual reviews by #fraud detection teams by up to 50% (or perhaps even more in the future), while maintaining the highest quality of accuracy available.

[simMachines @simMachines]

@MikeQuindazzi @USGAO Nice. Step 2.1: system flags items and reveals why the alert occurred thanks to Explainability, thereby providing contextual intelligence to the human analyst.

[simMachines @simMachines]

@pheirendt @AlsItalianBeef Don't forget to try out Mr. Beef too! https://t.co/ajBdZPlUx8

[simMachines @simMachines]

@ACMLarry #ExplainableAI ? We're right here. Highly predictive, completely transparent, and made for scale.

[simMachines @simMachines]

There doesn't need to be a trade off b/w #MachineLearning "accuracy" and #Explainability. Similarity is inherently transparent, and as predictive (if not more) than other cutting edge tech (e.g., #DeepLearning).

#DataScience #Analytics #PredictiveAnalytics #AI #ExplainableAI

[simMachines @simMachines]

@JimMarous @DeepLearn007 @MarTechExec @chiefmartec @pierrepinna @ipfconline1 @guzmand Great article. "Machine learning has enabled them to analyze customer behaviors and suggest the products that will most likely capture their attention. " #XAI reveals why each customer is interested in the product. That's #MachineLearning 2.0. Ex. here: https://t.co/Ut0U9f3uIR

[simMachines @simMachines]

@DigitalVipul @KirkDBorne @ChristophMolnar True #ExplainableAI reveals each weighted factor that drives a prediction. Ex. in #marketing, #XAI unveils the motivations behind each consumer's predicted behavior, which marketers then use for Dynamic Predictive Audience segmentation. Visualization here: https://t.co/Ut0U9f3uIR

[simMachines @simMachines]

@maria_axente @FabriceCiais1 @TheFCA Different approaches to #MachineLearning can render predictions to be #Explainable. For Ex., Similarity is inherently transparent and highly predictive. The following is a visualization #ExplainableAI in fraud detection. https://t.co/8fr6ZqMwZ3

[simMachines @simMachines]

@ted_friedman #XAI is critical for transparency's sake, as well as the strategic and tactical insights in it delivers to business executives.

Our Similarity-based #MachineLearning is completely #Explainable, at speed and scale. Check us out: https://t.co/hB77Q9CMFt

[simMachines @simMachines]

How do you identify emerging trends in #Churn using #MachineLearning?

W/ #BlackBoxAI, you may build clusters based on shared descriptive factors.
W/ #ExplainableAI, you can build clusters based on shared #Predictive factors.

Bonus Q: Differences b/w Descriptive vs Predictive?

[simMachines @simMachines]

Predicting #Churn with #BlackBox #MachineLearning helps identify which customers to focus your prevention efforts on. #ExplainableAI reveals why customers are predicted to churn, and therefore, how to engage each one.

#PrescriptiveAnalytics #CustomerSuccess #Marketing

[simMachines @simMachines]

@JimMarous @DeepLearn007 @Fisher85M @SmartInsights @TamaraMcCleary @Shirastweet @pierrepinna @ipfconline1 @BrettKing @Tiffani_Bova @SpirosMargaris @MikeQuindazzi @MarTechExec @martech_today @chiefmartec @KirkDBorne @MCins_ @cgledhill @leimer @jblefevre60 What a robust list of highly valuable applications of #AI in #FinServ #Marketing! To take this one step further, adopting #ExplainableAI practices tremendously increases the effectiveness of several of listed applications, such as propensity modeling. The "Why" is critical.

[simMachines @simMachines]

#Marketing often uses #MachineLearning to predict consumer behavior. #Explainability reveals "the Why" behind the predicted behavior.

EX:
#BlackboxAI: Consumer A is Likely to purchase Dark Chocolate.
#ExplainableAI: ...because Consumer A is interested in healthier products.