Machine learning is poised to pave the way for many exciting opportunities for businesses, but there are many hurdles to be crossed before getting to the finishing line. Many organisations are still struggling with legacy systems and are slow to invest in more advanced technologies. But the more pressing issue at hand, one that has been an ongoing problem for the technology sector, is the short supply of qualified talent to match what is a fast-moving and demanding industry. By design, machine learning is experimental and often unpredictable – a lot of exploration is required before organisations can even begin to make sense of the data and which machine learning algorithms will work best. While the unpredictable nature of machine learning is understandably daunting, many organisations have yet to fully grasp what is required to effectively deploy and manage it.
Previously published on LSE Business Review. Machine learning is poised to pave the way for many exciting opportunities for businesses, but there are many hurdles to be crossed before getting to the finishing line. Many organisations are still struggling with legacy systems and are slow to invest in more advanced technologies. But the more pressing issue at hand, one that has been an ongoing problem for the technology sector, is the short supply of qualified talent to match what is a fast-moving and demanding industry. By design, machine learning is experimental and often unpredictable – a lot of exploration is required before organisations can even begin to make sense of the data and which machine learning algorithms will work best.
AI and automation is changing the business environment across industries, delivering new opportunities through intelligent, automated products. Some companies are ahead of the curve, and others are stagnating in their adoption of the tech. Board members and decision-makers are increasingly aware of the benefits of AI and automation, but the question should always remain: 'Is it right for my business? How does it solve a problem?'. With the general rise of this technology into business operations also comes challenges, dangers and potential risks to the human workforce.
While true artificial intelligence is some way off, businesses are taking advantage of intelligent automation, like machine learning, to improve business operations, drive innovation and improve the customer experience. AI and automation is changing the business environment across industries, delivering new opportunities through intelligent, automated products. Some companies are ahead of the curve, and others are stagnating in their adoption of the tech. Board members and decision-makers are increasingly aware of the benefits of AI and automation, but the question should always remain: 'Is it right for my business? How does it solve a problem?'.
AI and automation is changing the business environment across industries, delivering new opportunities through intelligent, automated products. Some companies are ahead of the curve, and others are stagnating in their adoption of the tech. How does it solve a problem?'. With the general rise of this technology into business operations also comes challenges, dangers and potential risks to the human workforce. This feature will examine all these aspects, and hope to give an overall look at AI and automation in the enterprise.