How to Get Started with Artificial Intelligence and Algorithms

To implement Artificial Intelligence and Algorithms, ExOs need to follow four distinct steps:

1. Gather data. The Algorithmic process starts with harnessing data, which is gathered via sensors or human beings or imported from public or private datasets.

2. Organize data. The next step is to organize the data. This process is known as ETL (extract, transform, and load).

3. Apply. Once the data is accessible, machine-learning tools—such as Hadoop and Pivotal, or open-source deep-learning Algorithms from DeepMind and SkyMind—can extract insights, identify trends, and tune new Algorithms. 

4. Expose. The final step is exposing the data. Opening data using APIs (Application Programmable Interfaces) can be used to enable an ExO’s Community—in particular stakeholders including providers, customers, consumers, and end-users—to develop valuable services. That is, the stakeholder data layers new functionalities and innovations on top of the platform by remixing the ExO’s data with the stakeholders. 

Successful examples of companies making use of intelligent exposure include the Ford Motor Company, Uber, Rabobank, the Port of Rotterdam, IBM Watson, Wolfram Alpha, Twitter, and Facebook/Meta.

A word of warning: companies often get discouraged trying to implement these solutions, typically because they are working with legacy systems—or they have underestimated the amount of data needed to train their predictive data analytic systems. But if they follow these four steps, the process can be fairly straightforward. And don’t forget: it is possible now to purchase models that have already been trained.

The current and future explosion of data harvested from the world’s billions and trillions of sensors can be analyzed only through the deployment of Artificial Intelligence and Algorithms. Given that they are so much more objective, scalable, and flexible than human beings, Artificial Intelligence and Algorithms are the keys to the future of business in general. Exponential Organizations will lead this new economy.

Key Resources/Links where you can learn more Please note that the links below are likely to be outdated by the time you read this. The field is evolving faster than our ability to track it. For updated links, please join the community at www.openexo.com - Join ExO Insight and the Open ExO Community Community of On Demand Experts | OpenExO.com to stay on top of some of the latest trends and conversations. - MIT NEWS: How quickly do AI and Algorithms improve?  - 4 Stakeholders of API. About Providers, Customers, Consumers… | by Amancio Bouza | API Product Management | Medium  - Top 50 Most Popular APIs (Updated for 2023) | Rapid Blog  - Awards—API World - Revolutionizing agriculture through emerging technologies—Atlantic Council - Text to art platforms—Midjourney, DALL·E 2 - Introducing ChatGPT - Google Bard  - 100+ AI Use Cases & Applications: In-Depth Guide for 2023 - 7 Artificial Intelligence Examples Transforming Enterprises - Algorithms - ExO Insight