After BloombergGPT, Bloomberg Unveils IB Connect, Improving Digital Transformation

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Financial giant Bloomberg has introduced a new service called IB Connect: Intra-Firm Chatbots to enhance clients’ digital transformation efforts. This service allows Bloomberg Terminal users to incorporate proprietary chatbots into IB chat rooms exclusively for members of the same firm. Intra-firm chatbots assist in surfacing crucial information from internal systems within IB, aiding in-house business intelligence discoverability.

IB Connect, a suite of services, facilitates seamless integration between Bloomberg Terminal and firms’ in-house workflow tools, thereby improving collaboration among colleagues.

The Intra-Firm Chatbots service offers two-way integration, linking a client’s applicable IB chat rooms with their internal systems. It employs natural language processing to organise unstructured IB data and makes the enriched information available to the client’s Intra-Firm Chatbots. Clients can use a provided software development kit to customise these chatbots according to their firm’s tech stack and internal workflow.

Bloomberg offers two types of client chatbot capabilities via IB Connect: Q&A Intra-Firm Chatbots and Notification Intra-Firm Chatbots. Q&A Chatbots enable two-way communication to fetch actionable intelligence from clients’ systems, while Notification Chatbots provide timely alerts and business intelligence within the IB environment without disrupting ongoing team communication.

Back in April, Bloomberg had unveiled BloombergGPT, a specialised LLM tailored for the finance industry. With training based on 700 billion tokens from both Bloomberg’s vast financial data archives and public datasets, this 50-billion parameter model is designed to enhance existing NLP tasks like sentiment analysis, news classification, and query-related tasks in the financial domain. 

However, it has limitations, including being monolingual (English only) and potentially carrying biases and toxicity, issues common in LLMs. Unlike its multilingual counterparts like BLOOM and GPT-3, BloombergGPT’s singular language focus could limit its training input diversity.

Read more: What BloombergGPT Brings to the Finance Table

The post After BloombergGPT, Bloomberg Unveils IB Connect, Improving Digital Transformation appeared first on Analytics India Magazine.

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We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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After BloombergGPT, Bloomberg Unveils IB Connect, Improving Digital Transformation

Financial giant Bloomberg has introduced a new service called IB Connect: Intra-Firm Chatbots to enhance clients’ digital transformation efforts. This service allows Bloomberg Terminal users to incorporate proprietary chatbots into IB chat rooms exclusively for members of the same firm. Intra-firm chatbots assist in surfacing crucial information from internal systems within IB, aiding in-house business intelligence discoverability.

IB Connect, a suite of services, facilitates seamless integration between Bloomberg Terminal and firms’ in-house workflow tools, thereby improving collaboration among colleagues.

The Intra-Firm Chatbots service offers two-way integration, linking a client’s applicable IB chat rooms with their internal systems. It employs natural language processing to organise unstructured IB data and makes the enriched information available to the client’s Intra-Firm Chatbots. Clients can use a provided software development kit to customise these chatbots according to their firm’s tech stack and internal workflow.

Bloomberg offers two types of client chatbot capabilities via IB Connect: Q&A Intra-Firm Chatbots and Notification Intra-Firm Chatbots. Q&A Chatbots enable two-way communication to fetch actionable intelligence from clients’ systems, while Notification Chatbots provide timely alerts and business intelligence within the IB environment without disrupting ongoing team communication.

Back in April, Bloomberg had unveiled BloombergGPT, a specialised LLM tailored for the finance industry. With training based on 700 billion tokens from both Bloomberg’s vast financial data archives and public datasets, this 50-billion parameter model is designed to enhance existing NLP tasks like sentiment analysis, news classification, and query-related tasks in the financial domain. 

However, it has limitations, including being monolingual (English only) and potentially carrying biases and toxicity, issues common in LLMs. Unlike its multilingual counterparts like BLOOM and GPT-3, BloombergGPT’s singular language focus could limit its training input diversity.

Read more: What BloombergGPT Brings to the Finance Table

The post After BloombergGPT, Bloomberg Unveils IB Connect, Improving Digital Transformation appeared first on Analytics India Magazine.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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