"How can I solve my problem with AI?"- As Machine Learning and Artificial Intelligence reach more and more areas of daily life and enter all economic sectors, this question is often asked by decision makers eager to integrate AI into their business. While AI can offer great gains to businesses, in the following, you will see why jumping in with such a question is not an appropriate approach. Before diving into AI for your business problem, a well-defined business strategy must be established and the question of "Why should I use Machine Learning/Artificial Intelligence?" should be thoroughly considered. Being able to answer that question requires having the exact definition of the business problem: knowing the available data and desired output, having a plan for testing, monitoring and improving your solution, and being clear about the end use-case. After all, it's no use having a perfectly designed model from the data science team if you haven't planned how the rest of the company can use your model outputs.

An autonomous idea-creation system that already has invented patentable concepts has itself now been patented. The U.S. Patent and Trade Office has awarded a patent to Stephen L. Thaler, president and CEO of Imagination Engines Inc., for his Device for the Autonomous Bootstrapping of Unified Sentience (DABUS). Formally, the patent is titled "Electro‐Optical Device and Method for Identifying and Inducing Topological States Formed Among Interconnecting Neural Modules," which Thaler says constitutes a "successor to deep learning and the future of artificial general intelligence." With DABUS, "vast swarms of neural nets join to form chains that encode concepts gleaned from their environment," Thaler said in a press release. "It also teaches the noise‐stimulation of such neural chaining systems to generate derivative concepts from their accumulated experience (i.e., idea formation)."

The Conference Board of Canada's Global Commerce Centre (GCC) held a strategic foresight workshop on November 19, 2018. The workshop allowed GCC stakeholders to discuss and develop a series of plausible futures with specific assumptions on AI (artificial intelligence) global adoption, and the openness of the global trade environment. This strategic foresight report identifies four potential futures for consideration. The report provides insights into the challenges and opportunities that industries, the government, and the public may face as AI technologies and global economic trends continue to evolve. All four workshop groups highlighted the role of government policies and the need for good governance, ethical frameworks, and educational programs.

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