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How NLP is turbocharging business intelligence

Flipboard

Natural language processing (NLP), business intelligence (BI) and analytics have evolved in parallel in recent years. NLP has shown potential to make BI data more accessible. But there is much work ahead to adapt NLP for use in this highly competitive area. Integrated NLP-enabled chatbots have …

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Zenlytic Secures $9M to Revolutionize Business Intelligence with AI-Powered Data Analyst Zoë

Unite.AI

Zenlytic , a trailblazer in AI-powered business intelligence (BI), has successfully raised $9 million in a Series A funding round led by M13 , alongside participation from Bain Capital Ventures , Primary Ventures , Company Ventures , Correlation Ventures , 14 Peaks , and several strategic angel investors.

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ChatBI: A Comprehensive and Efficient Technology for Solving the Natural Language to Business Intelligence NL2BI Task

Marktechpost

Both the Natural Language Processing (NLP) and database communities are exploring the potential of LLMs in tackling the Natural Language to SQL NL2SQL task, which involves converting natural language queries into executable SQL statements consistent with user intent. If you like our work, you will love our newsletter.

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AI Set to Raise Global GDP to $7 Trillion: Goldman Sachs

Analytics Vidhya

According to a recent report by Goldman Sachs, implementing Artificial Intelligence (AI) could increase the global GDP by 7%. The report states that as AI tools that use Natural Language Processing (NLP) continue to be integrated into businesses and society, they could help to drive up to $7 trillion in additional global GDP growth.

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Common Grounds: Unleashing innovation and growth through partnership

IBM Journey to AI blog

IBM and Intel have a long history of collaboration on data and AI products, including AI acceleration with IBM Watson NLP Library for Embed with OneAPI, the optimization of IBM Db2 on Intel Xeon platforms, and now, watsonx.data.

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What are Haystack Agents? A Comprehensive Guide to Tool-Driven NLP with Code Implementation

Marktechpost

Modern NLP applications often demand multi-step reasoning, interaction with external tools, and the ability to adapt dynamically to user queries. Haystack Agents, an innovative feature of the Haystack NLP framework by deepset , exemplifies this new wave of advanced NLP capabilities.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

. “The media and entertainment industry has undergone a significant digital transformation, with viewers consuming content across different devices and platforms,” said Vitaly Tsivin, EVP Business Intelligence at AMC Networks. ” Notably, watsonx.data runs both on-premises and across multicloud environments.