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cover of episode Unlocking Data Strategy: Data Literacy for Better Business

Unlocking Data Strategy: Data Literacy for Better Business

2022/11/15
logo of podcast Smart Talks with IBM

Smart Talks with IBM
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Nicholas Renotte
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Nicholas Renotte: 数据素养和数据战略对商业成功至关重要。从11岁开始学习Excel宏，到在澳大利亚储备银行工作，数据处理能力贯穿其职业生涯。他强调数据解读的准确性，避免数据误导，以及数据在商业决策中的重要性。他还分享了其在YouTube上创作数据科学教程的经验，旨在降低数据科学学习门槛。他认为，成功的企业数据战略需要数据准备、组织、分析和迭代，机器学习是最后一步，数据准备是关键。企业实施数据战略面临的主要痛点是数据收集和组织，以及数据发现和搜索。IBM的Cloud Pak for Data工具可以帮助企业收集、组织、分析和利用数据，并进行数据目录编制和元数据管理。数据可以优化工作流程，提高效率，并通过自动化工具减少重复性工作。创造力意味着开放思维，勇于尝试新方法解决问题。数据故事讲述的创造力体现在将数据用于公益事业，例如改进辅助技术和语言翻译模型。量子计算的未来发展趋势将极大地改变机器学习模型的创建和训练方式。 Ronald Young Jr.: 作为访谈主持人，Ronald Young Jr. 主要负责引导话题，提出问题，并对Nicholas Renotte的观点进行回应和补充。

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Nicholas shares his early experiences with data and coding, starting from age 11 when he began working with spreadsheets and macros, influenced by his father's interest in stock trading.

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Having a good data strategy can streamline the way a company does business. In this episode of Smart Talks with IBM, Malcolm Gladwell takes on this topic with Ronald Young Jr., host of Solvable, and guest Nicholas Renotte, Data Science and AI Technical Specialist at IBM. They discuss how data literacy can help make a business more efficient, the fundamentals of data management, and why data is step one to AI solutions.

A study quoted by Nicholas and referenced in this episode can be found here). Some of Nicholas’ guidance on machine learning can be found here).

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