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Taktile raises $20M to help fintech companies test and deploy decision-making models

TechCrunch

While there, they found that many automated decisions were poorly designed, hardly ever tested properly and required a lot of engineering capacity — ultimately leading to guesswork. Taktile would let the head of credit at the bank back-test the change and analyze its impact before actually implementing it.

Fintech 228
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Molecule.one grows its drug synthesis AI platform with a $4.6M seed round

TechCrunch

Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company’s system enters play when you have some exotic new compound you want to make in order to test it in real life, but don’t know how to make it.

Chemicals 246
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Getting specific with GenAI: How to fine-tune large language models for highly specialized functions

CIO

The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.

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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. We’re using our own databases, testing against our own needs, and building around specific problem sets.

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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi.

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Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators

AWS Machine Learning - AI

After being tested locally or as a training job, a data scientist or practitioner who is an expert on SageMaker can convert the function to a SageMaker pipeline step by adding a @step decorator. Generative AI models are constantly evolving, with new versions and updates released frequently.

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. NJ Transit’s digital infrastructure has come a long way since Lookman Fazal took the top tech post more than three years ago. We have shown out value,” Fazal says of the transformation. “We