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6 AI myths holding your business back

#artificialintelligence

Artificial intelligence (AI) techniques are reaching deeper into work environments, not only replacing and enhancing mundane jobs, but also augmenting or otherwise changing those that remain. They are permeating every aspect of business and are driving organizational strategies. In fact, Gartner predicts that by 2025, AI will be the top category driving enterprise infrastructure decisions. Yet even as interest in AI rises, several myths about this technology persist. CIOs must identify and debunk those myths, in order to devise sound strategies--or enhance existing ones--when driving implementation of AI projects.


6 AI Myths Debunked

#artificialintelligence

"Artificial intelligence (AI)I will automate everything and put people out of work." "AI is a science-fiction technology." "Robots will take over the world." The hype around AI has produced many myths, in mainstream media, in board meetings and across organizations. Some worry about an "almighty" AI that will take over the world, and some think that AI is nothing more than a buzzword.


Explainable AI: Why should business leaders care?

#artificialintelligence

Artificial intelligence (AI) has become increasingly pervasive and is experiencing widespread adoption in all industries. Faced with increasing competitive pressures and observing the AI success stories of their peers, more and more organizations are adopting AI in various facets of their business. Machine Learning (ML) models, the key component driving the AI systems, are becoming increasingly powerful, displaying superhuman capabilities on most tasks. However, this increased performance has been accompanied by an increase in model complexity, turning the AI systems into a black box whose decisions can be hard to understand by humans. Employing black box models can have severe ramifications, as the decisions made by the systems not only influence the business outcomes but can also impact many lives.


Explainable AI: Why should business leaders care?

#artificialintelligence

Artificial intelligence (AI) has become increasingly pervasive and is experiencing widespread adoption in all industries. Faced with increasing competitive pressures and observing the AI success stories of their peers, more and more organizations are adopting AI in various facets of their business. Machine Learning (ML) models, the key component driving the AI systems, are becoming increasingly powerful, displaying superhuman capabilities on most tasks. However, this increased performance has been accompanied by an increase in model complexity, turning the AI systems into a black box whose decisions can be hard to understand by humans. Employing black box models can have severe ramifications, as the decisions made by the systems not only influence the business outcomes but can also impact many lives.


Global Big Data Conference

#artificialintelligence

For organizations looking to turn their AI investments into business value, understanding the technology's capabilities and limitations is key. Artificial intelligence (AI) techniques are reaching deeper into work environments, not only replacing and enhancing mundane jobs, but also augmenting or otherwise changing those that remain. They are permeating every aspect of business and are driving organizational strategies. In fact, Gartner predicts that by 2025, AI will be the top category driving enterprise infrastructure decisions. Yet even as interest in AI rises, several myths about this technology persist.