By Enterprise Security Magazine | Friday, May 22, 2020
Any company that implements machine learning alternatives must weigh hazards and benefits carefully and above all, never push an AI technology to use before it is thoroughly tested.
Artificial intelligence (AI) has come a long way, and it is here to stay. AI and machine learning are now driving many of the biggest businesses in the world. There is no sign of slowing down.
Here are a few ways in which Ai is revolutionizing companies:
• Automation is the New Standard: AI is used to automate the everyday, necessary tasks, allowing employees to involve in other works. AI can simplify task like responding to simple customer queries, coordination of schedules, recording and transcribing minutes of meetings, consolidating data, and perform trend-based analysis.
• Redefined Jobs: The new wave of AI has opened enormous job opportunities. Development of machine learning is one of the most sought after skills in the job market today. It is one of the most robust capabilities to get a handle on. It is challenging to grasp knowledge on the same, which results in a lack of requisite talent to drive AI adoption. In the future, the job of a data labeler will be in more demand as it will be needed more to generalize the data before feeding into machine learning systems.
• More Data is Better: For AI to work correctly and produce results, tremendous data is needed. To fully execute machine learning in any organization, data collection should be done on a regular and accurate basis. The challenges involved are identifying the relevant data, finding a verified source for gathering, collecting data without invading the consumers, tailoring of data according to the needs, and development of data architecture that can store and use information gathered. Identifying these main points can often allow your organization to collect more actionable information on their algorithms.
• Careful Management of Consumer Interaction: Despite the omnipresence of voice assistants and other consumer AI systems, many customers are still not sure how they feel about them. Majority of consumers have interacted with AI, but only a few of them are actually aware of it. Many customers do not understand techniques such as email spam filters, and all search conditions are based on AI predictions. Despite this absence of comprehension, most of them believe that they have understood what AI is. Any company that implements machine learning alternatives must weigh hazards and benefits carefully and above all, never push an AI technology to use before it is thoroughly tested.
• Room for Growth: There is still a long way to go for most companies to fully implement AI techniques. There is always time for growth in the field of AI, which is here to stay. So it’s time to figure out what does it mean for an organization and what all are the drawbacks and benefits.
See also: Top Machine Learning Technology Companies