Перейти к содержанию сайта
The AI Factor
Book

The AI Factor

How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially



Editorial Rating

9

getAbstract Rating

  • Analytical
  • Applicable
  • Bold

Recommendation

The sensational way the media often portrays artificial intelligence (AI) can make it seem intimidating. But to grow in today’s environment, businesses need AI to help identify patterns and problems within their masses of data. In this helpful text, analytics expert Asha Saxena takes the stress out of understanding the practical role that big data and AI should play in your business operations. She reminds you that you probably already use AI in your daily life, even if you’re unaware of it, and she explains how business leaders can adapt AI to their specific organizational needs.

Summary

 Netflix and Starbucks were big data and artificial intelligence (AI) pioneers.

In the 1990s, Blockbuster Video was the dominant, go-to company to rent the latest video or DVD to watch on a Saturday night. But by 2013, the company imploded, and Netflix raced ahead. Blockbuster failed to recognize the internet’s transformative potential, while Netflix’s founders embraced change and the possibilities of the internet.

Recognizing that Netflix’s future lay in streaming video, the company developed an increasingly precise algorithm that recommended movies to subscribers and registered their preferences. Netflix then began producing original content which became highly successful.

By 2020, Netflix upended the traditional movie and television business as it became a gigantic enterprise with more than $2 billion in profit. It succeeded, in part, because its leaders were willing to break traditional business models. They exploited and refined their data, focused on its inherent value, and based their business decisions on results provided by data analysis and AI.

Netflix is not the only company that leveraged...

About the Author

Asha Saxena, an adjunct professor of health policy and management at Columbia University, teaches healthcare consulting, entrepreneurship, big data and data analytics. She was CEO of Aculyst, a healthcare analytics firm, and president and CEO of Future Technologies, an international data management and analytics company.


Comment on this summary

More on this topic

Related Skills

人工智能转型,实施基于人工智能的流程优化,跨部门整合人工智能解决方案,评估企业采用人工智能的准备情况
高管领导力
推动人工智能转型,在各部门实施人工智能转型,协调与利益相关者的人工智能倡议,监督人工智能技术的整合,
利用人工智能制定商业战略,战略性地将人工智能融入商业计划,制定以人工智能驱动的企业战略,评估人工智能
领导力
在日常任务中利用人工智能,将人工智能工具整合到工作流程中,使用人工智能自动化重复性任务,利用人工智能
做出明智决策
管理
理解人工智能,向同事解释基本的人工智能概念,区分人工智能与传统软件解决方案,总结人工智能在现代工作场
职场技能
发现科技行业中的人工智能应用案例,应用机器学习于科技行业,利用人工智能推动技术创新,识别科技中的人工
利用人工智能提升领导力,将人工智能洞察融入领导决策,使用人工智能工具增强领导战略,通过人工智能分析推
发现商业战略的人工智能供应商,评估人工智能供应商的战略一致性,识别与商业目标相符的人工智能合作伙伴,
选择人工智能优先事项,确定人工智能关注的关键领域,决定人工智能项目的重要性,有效优先排序人工智能倡议
引导团队顺利过渡到人工智能,促进团队适应人工智能工具,准备员工迎接人工智能驱动的角色,管理对人工智能
利用人工智能进行管理,将人工智能工具整合到管理流程中,使用人工智能分析管理数据,利用人工智能增强团队
使用人工智能进行决策支持,实施人工智能工具以进行决策,利用人工智能评估决策数据,将人工智能洞察整合到
使用人工智能结合公司知识,将人工智能与内部数据源整合,为特定公司需求定制人工智能工具,使用专有公司信
推动团队的人工智能采纳,鼓励团队对人工智能工具的认同,解决团队对人工智能实施的担忧,培训团队掌握新的
作为领导者,伦理地使用人工智能,驾驭人工智能领导中的伦理挑战,确保伦理的人工智能部署决策,优先考虑人
发现人工智能的应用案例,识别商业中潜在的人工智能应用,探索人工智能在工作场所改进中的可能性,分析人工
规划人工智能劳动力转型,设计人工智能劳动力过渡路线图,评估团队的人工智能准备情况,评估当前人工智能岗
衡量人工智能的商业影响,评估人工智能对收入增长的影响,分析人工智能实施带来的成本节约,比较人工智能驱
为人工智能组织,建立以人工智能为中心的组织结构,设计人工智能整合的工作流程,实施人工智能项目的团队结
设定人工智能愿景与战略,定义人工智能战略路线图步骤,使人工智能愿景与商业目标对齐,优先考虑促进增长的
使用人工智能进行数据分析,实施人工智能以增强数据洞察,将人工智能集成到数据处理任务中,利用人工智能工
以德驾驭 AI
理解人工智能的伦理影响,导航人工智能开发中的伦理考虑,评估人工智能对数据隐私的影响,预见人工智能算法