Embracing and integrating Artificial Intelligence (AI) is a challenge for any organization, but for large companies the culture change required to implement AI is often daunting. What some organizations may view as an essential means of remaining competitive, streamlining production processes, and cutting costs, others may view as part of a larger organizational transformation process, meant to reinvent a company. Some, of course, view it as both. There are as many potential permutations associated with embracing AI in the manufacturing process as there are potential applications for doing so.
A new book titled A.I. Supremacy: Winning in the Era of Machine Learning reveals that the pace of progress and change is occurring at exponential rates each year and is becoming so great that many in AI and ML community believe that in as little as a couple of decades from now human level AI will no longer be the realm of fantasy.
The two countries that appear to be the best positioned to leap forward in the coming decade are China and South Korea. Both are light years ahead of the competition.
When Artificial Intelligence (AI) and Machine Learning are combined with the interconnectedness of global supply chains, they provide a range of unprecedented opportunities and potential perils for international businesses. On one hand, rising efficiency and productivity is permitting exponential growth in some sectors and businesses. On the other hand, the gap in efficiency and productivity between those sectors and businesses that have embraced AI and Machine Learning versus those that have not is also growing exponentially, leaving those at the bottom further and further behind.
Browse through anything about Artificial Intelligence and machine learning and chances are, you will run into two types of articles: First, you will find all the thought pieces by the likes of the Big 4 accountancy firms, major consultancies, the World Economic Forum and others that discuss all the opportunities that AI provides. Second, you will find very technical articles for the “techies” that focus on the ins and outs of these technologies. What you will struggle to find are pieces and conversations about the key risks and related implications these technologies create with a broader audience in mind. Until now. Today, we talk AI Supremacy.
The first half of the book tackles AI as it pertains to commerce. There are chapters on globalization, manufacturing, finance, the sciences and communication. Each talks about how AI is disrupting the sector and the jobs attached to said sector, then broaches plausible future scenarios (and problems). Comfortingly, the authors tend to relay a message of AI complementing, not eliminating, workers for the foreseeable future. There are examples given of lawyers using software to sift through paperwork and robots handling some of the most tedious and dangerous parts of factory work, under the supervision of humans.
The world’s intelligence agencies and militaries are, not surprisingly, the furthest ahead in developing artificial intelligence (AI) – spending vast sums of money attempting to better understand how and why intelligent machines end up operating the way they do. In spite (or perhaps, because of) the dramatic progress that is being made by integrating AI into the realm of government, and the degree to which AI is having an impact on such a broad range of industries and sectors, some practitioners and thought leaders worry about its future implications.
As Artificial Intelligence continues to evolve, it is having profound impact on a range of sectors seemingly unrelated to it, such as international relations. Some countries are pursuing AI more or less within the confines of international law and generally accepted principles of doing business, while others are choosing to do what is necessary to attempt to achieve AI supremacy outside those boundaries. In the process, AI is slowly altering the balance of power between global actors and among alliances in a number of ways.