AI Transforming BusinessArtificial Intelligence (AI) and machine learning are already reshaping the way we do business across all major sectors. AI is being used to assist with strategic decision-making through data processing and synthesization on a scale much larger and faster than the human brain could accomplish. Certainly many major breakthroughs in AI are yet to come, with industries boasting large amounts of data likely seeing the most significant benefits from the AI revolution. Here are a few examples of how AI is already shaping day-to-day business: Customer Relationship Management (CRM) CRM tools help professionals create positive, productive client relationships that lead to successful business outcomes for both parties. Nonetheless, CRM tools still require a high level of human input and interaction to achieve desired results. Luckily, CRM tools are starting to use AI to become self-updating and auto-correcting. The CRM tool can stay on top of the relationship management component, freeing up time for more strategic work over redundant tasks. Energy Clean, affordable energy is increasingly paramount as our pool of natural resources decreases. AI is being used in energy management systems to more accurately define energy usage of various assets, such as wind turbines, and predict when these assets are in need of repair. Sensors affixed to these assets provide the data, which is then synthesized by AI machines and passed on to researchers. Finance AI is already starting to transform finance by reducing time spent on tasks and providing a more cost-efficient, personalized experience for the consumer. Experts, for instance, predict that regular bank operations will be handled almost exclusively by AI in the near future – for example, by predicting when an individual may be soon needing a mortgage loan and targeting marketing toward them. Learn more at Business News Daily.
AI Breakthroughs Coming in the Next Five YearsAI will continue to shape the business world for years to come in ways we can’t yet imagine. Experts, however, are already making predictions on what’s to come. Here are three exciting trends they say to watch out for in the next five years: Non-human pattern recognition The application of reinforcement training to AI could be a significant cost and time savings to organizations. The idea is that AI would be taught to learn knowledge from scratch and train against itself. With this ability, machines could learn a year’s’ worth of knowledge in seconds, and, critically, that learning would be free from human bias. Health care Each day, doctors and medical professionals evaluate troves of data to make diagnoses and treatment plans. But what if a machine could diagnose and treat patients with even greater accuracy? AI could be used to extrapolate from symptoms and lab results to better diagnose common childhood illnesses, certain forms of cancer, and even Alzheimers. Machines can sort through thousands of radiology images to identify signs of specific injuries or diseases at a faster and more accurate rate than a human ever could, leading to better health outcomes. Interestingly, experts are predicting that in several years from now doctors may be risking malpractice if they don’t use AI to help reach their diagnostic conclusions. Manufacturing AI design systems are already at work transforming the manufacturing process, particularly in high-impact areas like clean energy, military, and space travel. AI can be used to discover new, more sustainable materials at a faster rate than pre-AI systems, leading to breakthroughs and innovations in the clean-tech space in particular. Currently, it takes on average more than 15 years to create a new material. This process is already speeding up as AI integrates more readily into the design and discovery process. Read more at SingularityHub
Preparing Your Organization for the AI RevolutionAs AI integrates more intricately into day-to-day business processes across a variety of industries, one thing is clear: organizations that embrace AI will have a competitive advantage in the future. There are several priorities organizations should have to ensure they’re prepared for the AI revolution:
- Access to fast processes and clean data. Organizations must streamline their internal processes to be able to accommodate the fast pace of AI developments. Most importantly, organizations should have a reliable source of clean data to extract from and work with.
- A strategic plan. Organizations should already be re-shaping their business strategy to incorporate AI. Those that don’t may lose competitive advantage in the future AI landscape.
- A ready workforce. Not only does this mean having enough personnel to handle new AI-based processes, but also having personnel trained in AI systems. Experts believe the existing workforce falls short of the requirements needed to accommodate the AI revolution.
- Integration of AI with other technologies. For the greatest impact and value-add, organizations should be strategically incorporating AI with other existing and growing technologies.