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Based on the most helpful WSO content, AI products in finance are rapidly evolving, and some are making significant strides. For instance:

  1. Palantir's LLM Technology: Palantir has announced plans to license out its LLM (Large Language Model) technology, enabling companies to create tailored AI solutions, like company-specific ChatGPTs. This could revolutionize internal operations by automating repetitive tasks and improving efficiency.

  2. Miso Robotics' "Flippy": While not directly in finance, Miso Robotics showcases how AI can integrate into industries by automating tasks like frying and grilling in commercial kitchens. This demonstrates the potential for AI to streamline operations in various sectors, including finance.

  3. BioNTech's AI Tools: BioNTech's acquisition of InstaDeep highlights how AI can be leveraged for unique datasets, such as healthcare and drug discovery. This principle applies to finance, where unique data and AI tools can provide a competitive edge.

  4. Google's Bard and PaLM 2: Google continues to enhance its AI capabilities, integrating Bard into its ecosystem and developing new LLMs like PaLM 2. These advancements could have applications in financial analysis and decision-making.

While specific tools like Hebbia, Perplexity for Enterprise, and Rogo weren't explicitly mentioned in the WSO dataset, the examples above illustrate the growing impact of AI in finance. The key is finding tools that align with your specific needs and leverage unique datasets for maximum advantage.

Sources: Palantir's Big Move | The Daily Peel | 5/9/2023, For Reál | The Daily Peel | 1/23/23, Q&A: AI will automate many roles in the IB/PE world. A live Q&A with Arctic, who are recruiting finance professionals to help manage that change, Tech As An Alternative to Finance, Will robots replace your consulting or financial career?

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 
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Not really - I uploaded sheets with BDP cells and it will edit things, but its running a web version of excel so it doesnt pull any of the data real time. You can always just export the results back to your desktop excel but I didn't experiment a ton there

I want to spend more time today using the Daloopa downloads and then using shortcut to integrate the sheet if it can. 

My first experiment was really strong on shortcut - it built an integrated model in decent formatting, but obviously was sort of like the "wall street prep" version of a model. Ever since then, every job I have asked has been a bit wonky. Struggling to balance the balance sheet. Never creates models the same way each time 

I think the whole "tested vs. 100 junior analysts" gimmick was they probably gave the analysts like 1hr to build a DCF template and then shortcut was given 10min and they compared the results...

It is still impressive no doubt, and probably the best excel / AI wrapper thing. Give it some time and we are going to be in a VERY interesting place...
 

 

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