Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for PMG360. He is a technology writer and editor with 20+ years experience delivering high value content to readers and publishers. 

Find his portfolio here and his personal bio here

Machine Learning Can Change Your Workspace

The leading organizations today are using artificial intelligence and machine learning technologies to enhance their operations in different ways. These two technologies promise to help transform workplaces by automating work and guiding business executives in their decision-making responsibilities. Furthermore, it will improve the efficiency of staff and enhance their productivity. Data visualization ability using AI and 3D applications has been one of the key areas when it comes to machine learning. It gives clarity to workplace planning and offers profitability for companies, especially in production and marketing. The competitive nature of modern workplaces demands that they adapt and work smarter. Machine learning and AI will augment jobs and make work more interesting and attractive. However, it will also displace some people and create new jobs. Some of the uses of machine learning and AI in workplaces include the following.

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AI is Moving Into the Office

Artificial intelligence (AI) is increasingly incorporated into our workplaces and daily lives. With this, it is expected to fundamentally upend the way office operations are performed with major concerns over how it will adversely affect employment. Despite the few concerns about the potential of AI to affect and disrupt office operations, it is poised to improve operations and significantly increase workers' productivity. From autonomous robots to virtual assistants, here are some ways that AI is moving into the office.

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Artificial Intelligence Mistakes to Avoid

Artificial intelligence (AI) is changing industries for the better. It is altering the way businesses operate and has hundreds of use cases. However, developing and implementing an AI project to help build a business poses a great challenge to companies and slows adoption. According to research, it is estimated that 85% of all AI projects will fail or deliver poor outcomes in 2022. On the other hand, 70% of companies reported no or minimal impact from AI, while 87% of the AI projects did not even enter into production. With these worrying statistics, here are some artificial intelligence mistakes to avoid as you seek to venture into this new area.

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