Virtually every enterprise decision-maker across the economic spectrum knows by now that artificial intelligence (AI) is the wave of the future. Yes, AI has its challenges and its ultimate contribution to the business model is still largely unknown, but at this point it’s not a matter of whether to deploy AI but how.
For most of the C-suite, even those running the IT side of the house, AI is still a mystery. The basic idea is simple enough – software that can ingest data and make changes in response to that data — but the details surrounding its components, implementation, integration and ultimate purpose are a bit more complicated. AI isn’t merely a new generation of technology that can be provisioned and deployed to serve a specific function; it represents a fundamental change in the way we interact with the digital universe.
Intelligent oversight of AI
So even as the front office is saying “yes” to AI projects left and right, it wouldn’t hurt to gain a more thorough understanding of the technology to ensure it is being employed productively.
One of the first things busy executives should do is gain a clear understanding of AI terms and the various development paths currently underway, says Mateusz Lach, AI and digital business consultant at Nexocode. After all, it’s difficult to push AI into the workplace if you don’t understand the difference between AI, ML, DL and traditional software. At the same time, you should have a basic working knowledge of the various learning models being employed (reinforcement, supervised, model-based …), as well as ways AI is used (natural language processing, neural networking, predictive analysis, etc.)
Continue reading: https://venturebeat.com/2022/03/07/artificial-intelligence/
For most of the C-suite, even those running the IT side of the house, AI is still a mystery. The basic idea is simple enough – software that can ingest data and make changes in response to that data — but the details surrounding its components, implementation, integration and ultimate purpose are a bit more complicated. AI isn’t merely a new generation of technology that can be provisioned and deployed to serve a specific function; it represents a fundamental change in the way we interact with the digital universe.
Intelligent oversight of AI
So even as the front office is saying “yes” to AI projects left and right, it wouldn’t hurt to gain a more thorough understanding of the technology to ensure it is being employed productively.
One of the first things busy executives should do is gain a clear understanding of AI terms and the various development paths currently underway, says Mateusz Lach, AI and digital business consultant at Nexocode. After all, it’s difficult to push AI into the workplace if you don’t understand the difference between AI, ML, DL and traditional software. At the same time, you should have a basic working knowledge of the various learning models being employed (reinforcement, supervised, model-based …), as well as ways AI is used (natural language processing, neural networking, predictive analysis, etc.)
Continue reading: https://venturebeat.com/2022/03/07/artificial-intelligence/
