Industry 4.0 technologies have left the world awash in data. The fourth wave of industrialization also gave us the tools to mine that data for intelligence and insights. We are now busy applying those insights to change the way we live, play, learn and earn. Today, we have cheap and easy access to the fundamental ingredients of Industry 4.0: smart sensors, data, analytics, cloud, 3-D printing, the internet of things (IoT), artificial intelligence, augmented reality, machine learning, blockchain, digital twins, and horizontal and vertical system integration. Using these, businesses are rewriting the rules of the game.

If you wish your organization to become higher and you wish it to be applied on organization plans then you ought to opt for AI. AI is like new technology and it will create a significant impact on developing economies. AI will revolutionize production processes. However, AI makes a large distinction between developing economies and it is smart that those countries that depend upon AI are the developed economies whereas others fall into developing or underdeveloped countries. AI will be a nice facilitator to developing countries.

GM has increased the money it's earmarking for its combined EV and self-driving investment from 2020 through 2025 to $35 billion. The largest automaker in the US originally planned to pour $20 billion into the endeavor but decided to give it a boost and up it to $27 billion late last year. Now, as CNBC reports, it's spending even more on efforts to go electric and driverless. The company will use the additional investment to accelerate the production of its battery and fuel cell technologies. It will build two more battery plants to the US in addition to the two that are already in construction, most likely in an effort to ensure that it doesn't come across battery shortages as it ramps up its EV production.

Your use of AI is probably succeeding in countless ways; however, AI has the potential to fail you, and in a big way: by sealing down the fate of your business and career. In fact, you might not even be able to prove that AI is driving you or your stakeholders to profit at all. Failures in the world of AI today can be small or enormous. Take for example IBM's "Watson for Oncology." The initiative had to be cancelled after $62 million in spending lead to unsafe treatment recommendations.