Artificial Intelligence (AI) and Machine Learning (ML) were hot topics a few years ago, but now they’re mainstream. Google, IBM, Facebook, and every other digital behemoth are placing artificial intelligence and machine learning front and centre. Smaller businesses and startups are increasingly using these two technologies to improve their efficiency and functionality. Instead of perceiving them as costs, firms are considering them as long-term investments.
According to Price Waterhouse Cooper, Artificial Intelligence Malaysia will be a key technology in the future. Most industries would use technology as a fulcrum. If you haven’t noticed, several businesses are already highly impacted by AI and ML and depend on them for progress and implementation. This list should assist.
If you believe self-driving vehicles are far off in the future, think again. In 2015, just 8% of automobiles have AI-driven systems, but by 2025, that number is predicted to rise to 109 percent. Connected automobiles are hot right now, with predictive mechanisms that correctly notify drivers about spare component failure, route and driving instructions, emergency and disaster preventive methods, and more. By 2020, Gartner expects connected automobiles with inbuilt wireless connections and networks to be the norm. With the advent of driverless vehicles, this is progressively becoming a reality.
Artificial intelligence is already changing the healthcare industry. Even after months of research, physicians couldn’t pinpoint a patient’s unusual kind of leukaemia. With electronic health data in place, artificial intelligence and machine learning technologies are only making customised healthcare a reality today. Predictive healthcare is also slowly gaining pace.
Finance has always required one of the most exact sorts of computer systems. In terms of AI and ML, the banking industry would depend significantly on these technologies to identify fraudulent transactions and make online transactions safer and more secure. It may also forecast market fluctuations and assist financial advisors devise optimal investment strategies.
Many elements of production might be improved by AI-based bots or systems. From robot-driven assembly lines to intelligent systems that can forecast equipment failure, AI is inevitable in manufacturing. It may also retrain workers with redundant skills and repurpose them. AI-powered bots or robots might potentially help with global supply-chain issues, reducing shipping and delivery times for online items.
With prior data, AI-powered systems can rapidly recreate campaigns and offer exact outcomes without spending thousands of dollars on testing. This would revolutionise the marketing landscape as brands and corporations would have a safe place to invest their money. The use of smart sentiment analysis tools and approaches might make reaching out to prospective consumers, generating leads and sales, estimating a new product’s market share, and researching competitors simpler.
Not only this, but AI and ML are reshaping entertainment, politics, sports, and every other business. These two technologies have a bright future ahead of them.
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