AI is among the most talked technology nowadays. It is being implemented by various industries and it has resulted in tremendous business growth.
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AI is among the most talked technology nowadays. It is being implemented by various industries and it has resulted in tremendous business growth. But without the right artificial intelligence approach, it won’t be possible. As we all know Artificial Intelligence has gripped our interest for much longer than it has been a part of pop culture – read; sci-fi books, shows and movies. Today, the only-limited-by-imagination-kind-of possibilities of AI is not only recognized but is becoming commonplace at most enterprises.
Let’s step back for a moment and look at how Gartner’s defines AI; ‘a technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogues with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of nonroutine tasks.’
Add to this, the confluence of a few factors that are listed below, which encourage AI and Machine Learning or ML to be at the center of most business conversations.
- Easy access to expansive compute and storage
- System connectivity that allows the collection of massive terabytes of data
- Advanced learning algorithms and tools that effectively make use of the above two resources
Why wouldn’t an organization want to take advantage of such technology? According to Gartner, Inc, AI-derived business value is set to reach $3.9 trillion in 2022. Given this burgeoning scenario, here are a few use cases of AI and ML that are providing enterprises with immediate value and positioning the latter as game-changers in their respective industries.
- AI-driven logistics
- provide value across the supply chain – from forecasting to sourcing raw materials, production, warehousing to distribution logistics
- Efficient manufacturing and predictive maintenance
- AI-powered smart robotics
- speed up manufacturing processes
- eliminate human errors
- save on resources
- capitalize on analytics to predict maintenance requirements
- Stronger security:
- AI diffuses threats
- detects unusual activities and patterns prepares multiple response-strategies to any eventuality
How does one get their AI approach right?
AI solution needs copious amounts of data to be successful. Managing vast data, ensuring the right data is used for the job and identifying the right tools for the task are amongst an organization’s biggest hurdles. Here are a few ways executive teams can address these issues. […]
read more – copyright by www.ciol.com
AI is among the most talked technology nowadays. It is being implemented by various industries and it has resulted in tremendous business growth.
copyright by www.ciol.com
Let’s step back for a moment and look at how Gartner’s defines AI; ‘a technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogues with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of nonroutine tasks.’
Add to this, the confluence of a few factors that are listed below, which encourage AI and Machine Learning or ML to be at the center of most business conversations.
Why wouldn’t an organization want to take advantage of such technology? According to Gartner, Inc, AI-derived business value is set to reach $3.9 trillion in 2022. Given this burgeoning scenario, here are a few use cases of AI and ML that are providing enterprises with immediate value and positioning the latter as game-changers in their respective industries.
How does one get their AI approach right?
AI solution needs copious amounts of data to be successful. Managing vast data, ensuring the right data is used for the job and identifying the right tools for the task are amongst an organization’s biggest hurdles. Here are a few ways executive teams can address these issues. […]
read more – copyright by www.ciol.com
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