The Business of Data Science : Bridging Technical & Business Gaps

Step aboard the fascinating world of data science from its technical meaning to its business real world application. This Keynote bridges the gap between technical & business perspectives.

It explains the 4 pillars for understanding Data Science and AI applications in business. Making data science intuitively understandable for non-technical audiences, and going to Real World Applications and Business Impact for technical audiences. It covers Machine Learning Technicality and provides Business Applications Examples. It forms a foundational framework of harmony for the business of data science.

According to Gartner, 90%+ of Data Science projects fail. Some of the reasons they fail include, lack of executive leadership education and understanding of Data Science and AI. Or, because highly technical talented people fail to understand the business side of data science, and, highly prepared business people, fail to understand the technical side. An eye-opening keynote leaving audiences empowered to apply tested real-world applications.

𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙊𝙗𝙟𝙚𝙘𝙩𝙞𝙫𝙚𝙨: The attendees/participants will...

•Gain a comprehensive understanding of what data science and AI really is
•Identify the components of the business of data science that will optimize business, increase sales and other functions
•Gain an understanding of data sciences and AI making it intuitively understandable, showing real world examples, understanding some of that data models technicalities involved, and how business profit can be made, empowering attendees to make informed decisions about application enterprise
-Acquire practical strategies for implementing a well-defined data transformation strategy and data science application strategy ensuring the right components for transformation are present by showing and sharing real-life business experiences deploying projects from New York Based business data science and transformation firms

* Data Science
* Business
* Artificial Intelligence
*Future of AI

𝙏𝙖𝙧𝙜𝙚𝙩 𝘼𝙪𝙙𝙞𝙚𝙣𝙘𝙚:
• Business leaders and decision-makers looking to leverage AI responsibly.
• Tech enthusiasts and students curious about the business implications of AI.
• The general public concerned about the potential impact of AI on their lives.

𝙇𝙞𝙣𝙠𝙨 𝙩𝙤 𝙎𝙖𝙢𝙥𝙡𝙚 𝙑𝙞𝙙𝙚𝙤𝙨:

𝙎𝙥𝙚𝙖𝙠𝙚𝙧 𝘿𝙚𝙢𝙤 𝙍𝙚𝙚𝙡:

Jhonathan David , MBA, Data Scientist

Award-winning International Keynote Speaker / Senior Data Projects Leader/ Published Author Thought Leader/AI & Data Modeling Instructor

New York City, New York, United States


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