How Bud Financial turns transactional data into rich customer insight

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Transactional data can be very messy. The information recorded from each transaction across a person’s financial life can come from many different banks and merchants, and the resulting data lacks structure. This makes it hard for financial institutions and their customers to use it to make financial decisions.   At Bud Financial Ltd (‘Bud’), we use …

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Deep-learning system explores materials’ interiors from the outside

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their new approach allows engineers to figure out what’s going on inside simply by observing properties of the …

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DeepMind’s latest research at ICLR 2023

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Next week marks the start of the 11th International Conference on Learning Representations (ICLR), taking place 1-5 May in Kigali, Rwanda. This will be the first major artificial intelligence (AI) conference to be hosted in Africa and the first in-person event since the start of the pandemic. Researchers from around the world will gather to …

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Palantir Foundry for AI Governance: Ethical AI in action

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Palantir Foundry for AI Governance Ethical AI in Action Editor’s Note: Written by Palantir’s Privacy and Civil Liberties (PCL) team, this blog post builds on our belief that, in order to preserve the truly valuable contributions of AI/ML, AI ethics and efficacy must move beyond the performative towards operational realities. In future posts, we’ll be addressing …

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Improved Alerting with Atlas Streaming Eval

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Ruchir Jha, Brian Harrington, Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. Engineers want their alerting system to be realtime, reliable, and actionable. While actionability is subjective …

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How ERP is breaking down silos and driving sustainable change

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While many organizations have established environmental, social and governance (ESG) goals and made ESG commitments, driven by purpose and emerging regulatory requirements, they face several challenges when making the transition from ambition to action. A recent IBM study found that global executives cite inadequate data (41%) as the biggest obstacle to their ESG progress, followed …

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An ML-based approach to better characterize lung diseases

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Posted by Babak Behsaz, Software Engineer, and Andrew Carroll, Product Lead, Genomics The combination of the environment an individual experiences and their genetic predispositions determines the majority of their risk for various diseases. Large national efforts, such as the UK Biobank, have created large, public resources to better understand the links between environment, genetics, and …

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Improve multi-hop reasoning in LLMs by learning from rich human feedback

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Recent large language models (LLMs) have enabled tremendous progress in natural language understanding. However, they are prone to generating confident but nonsensical explanations, which poses a significant obstacle to establishing trust with users. In this post, we show how to incorporate human feedback on the incorrect reasoning chains for multi-hop reasoning to improve performance on …

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