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Monday's Musings: Understand The Spectrum Of Seven Artificial Intelligence Outcomes - A Software Insider's Point of View

#artificialintelligence

As artificial intelligence (AI) continues to move from the summer of hype to the fall tech conference news cycle, mass confusion has begun on what AI can be used for. From fears of SKYNET, to hopes for the computer in StarTrek and Jarvis in Iron Man, the value will come from defining the proper outcomes. AI is more than just a fad. With a market size of 100B by 2025, Constellation sees the AI subsets of machine learning, deep learning, natural language processing, and cognitive computing taking the market by storm (see Figure 1). The disruptive nature of AI comes from the speed, precision, and capacity of augmenting humanity.


Monday's Musings: Understand The Spectrum Of Seven Artificial Intelligence Outcomes - A Software Insider's Point of View

#artificialintelligence

As artificial intelligence (AI) continues to move from the summer of hype to the fall tech conference news cycle, mass confusion has begun on what AI can be used for. From fears of SKYNET, to hopes for the computer in StarTrek and Jarvis in Iron Man, the value will come from defining the proper outcomes. AI is more than just a fad. With a market size of $100B by 2025, Constellation sees the AI subsets of machine learning, deep learning, natural language processing, and cognitive computing taking the market by storm (see Figure 1). The disruptive nature of AI comes from the speed, precision, and capacity of augmenting humanity.


Monday's Musings: Understand The Spectrum Of Seven Artificial Intelligence Outcomes - A Software Insider's Point of View

#artificialintelligence

As artificial intelligence (AI) continues to move from the summer of hype to the fall tech conference news cycle, mass confusion has begun on what AI can be used for. From fears of SKYNET, to hopes for the computer in StarTrek and Jarvis in Iron Man, the value will come from defining the proper outcomes. AI is more than just a fad. With a market size of $100B by 2025, Constellation sees the AI subsets of machine learning, deep learning, natural language processing, and cognitive computing taking the market by storm (see Figure 1). The disruptive nature of AI comes from the speed, precision, and capacity of augmenting humanity. Perception describes what's happening now. The first set of outcomes rudimentary describe surroundings as manually programmed. Notification tells you what you asked to know. Notifications through alerts, workflows, reminders, and other signals help deliver additional information through manual input and learning. Suggestions build on the past behaviors and ...


Tuesday's Tip: Seven Factors For Precision Decisions In Artificial Intelligence - A Software Insider's Point of View

#artificialintelligence

While market leaders and fast followers have not yet achieved mass personalization, the next rush is focused on investments in artificial intelligence (see Figure 1). Searching for a competitive advantage and fearful of disruption, board rooms and CXO's have rushed to artificial intelligence as the next big thing. The investment in pilots for AI's subsets of machine learning, deep learning, natural language processing, and cognitive computing have moved from science projects to new digital business models powered by smart services. With the goal of precision decisions, successful AI projects require more than just great algorithms or access to data scientists. The seven success factors for AI foreshadow a world where limited players can deliver AI smart services.


Understand The Spectrum Of Seven Artificial Intelligence Outcomes - Enterprise Irregulars

@machinelearnbot

As artificial intelligence (AI) continues to move from the summer of hype to the fall tech conference news cycle, mass confusion has begun on what AI can be used for. As with most disruptive business models, form must follow function. However, applying a spectrum of outcomes to transform the business models of AI powered organizations will indeed result in a disruptive business model and successful digital transformation. Learn how non-digital organizations can apply an AI road map to disrupt digital businesses in the best-selling Harvard Business Review Press book Disrupting Digital.