ARTIFICIAL INTELLIGENCE BUSINESS APPLICATIONS: How to Learn Applied Artificial Intelligence and Use Data Science for Business. Includes Data Analytics, Machine Learning for Business and Python by FORD WILLIAM J

ARTIFICIAL INTELLIGENCE BUSINESS APPLICATIONS: How to Learn Applied Artificial Intelligence and Use Data Science for Business. Includes Data Analytics, Machine Learning for Business and Python by FORD WILLIAM J

Author:FORD, WILLIAM J. [FORD, WILLIAM J.]
Language: eng
Format: epub
Published: 2020-09-08T16:00:00+00:00


AI MODELS AND NETWORKS

How to build AI strategies for your business

W hile much is understood about developing a market plan, the development of an AI plan is a new area. How do you approach the development of your AI strategy?

Artificial Intelligence holds great opportunities across markets and sectors. Andrew Ng, the world's leading AI Evangelists, mentions the development of an AI plan as a key element of his AI Conversion Playbook. With AI set to turn every sector, how do you put in place a sensible strategy to use its power? How exactly is the AI strategy? What are the gaps in the design of an AI strategy for startups vs. corporations?

The development of the AI strategy is different from the design of a conventional one. The goal of this chapter is to lead clinicians through the process of developing a tailored AI plan. The findings are based on my personal experience and professional conversations with top AI experts from organizations, including Toyota, Google, AI Fund, and many others. You will learn how the AI strategy applies to the company plan, its key elements, and how to distinguish a positive and a bad AI strategy.

The Business Strategy and the AI Strategy.

There is an AI approach to help the business strategy. The business plan determines the path forward for your company. What programs will have the greatest business value? What features distinguish the product from its competitors? Business strategy is articulated by tangible goals, e.g., in the form of Key Performance Indicators (KPIs) or Objectives and Key Results (OKRs). Such approaches monitor progress towards achieving the goal of the AI strategy. Raphael Kohler, Vice-Chairman of the German Chinese Association of AI, notes that it is important to have a good understanding of the purpose of the AI strategy. He points out that the debate can not be based on technology, but must be guided by business value.

There is no one-size-fits-all for the AI approach as for the business strategy. — Dominik Haitz.

The corporation aligns with the satisfaction of these KPIs. The AI strategy's goal is to provide a roadmap for the KPIs to be effective.



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