Two recent articles caught my eye this week. One article focused on the Fourth Generation of artificial intelligence, calling it artificial intuition. The other article explores the shift from artificial narrow intelligence to Artificial General Intelligence. In the case of artificial intuition, author Mark Gazit describes how helpful AI has become, and its ongoing limitations. Machine learning is still fully dependent on historic data. New and unknown scenarios leave data scientists helpless. Mr. Gazit suggests that in order to have true artificial intelligence, we need machines that can think on their own.Continue reading
2014 has started with a bang! If this is indicative of things to come – it will be an interesting and exciting year. Two major events usher in our New Year: IBM announcing the formation of the IBM Watson Group and Google acquiring Nest. We’ve heard a lot about the Internet of Things and the growing adoption of Smart Home components. Perhaps not as widely discussed is the emergence of cognitive computing – a space that IBM just made a huge bet on.
In my transformation series last year, I discussed the automation of knowledge work as both an emerging enterprise disruptor, and future enterprise enabler. Cognitive Computing promises to be a major driver of both sides of this equation. In its simplest form, cognitive computing is technology that allows us to ask natural language-based questions and get answers that support action, smarter decision making, and optimal outcomes. Gartner is weighing in and focused their recent 2013 Hype Cycle on the relationship between humans and machines. The focus – driven by the increased hype around smart machines, cognitive computing and the Internet of Things – is rooted in the belief that the divide between humans and machines is narrowing. Gartner encourages enterprises to look beyond the narrow perspective that only sees a future in which machines and computers replace humans. They see three main scenarios: 1) Augmenting humans with technology 2) Machines replacing humans 3) humans and machines working alongside each other. This is a very reasonable perspective on the likely path. The future enterprise as described through this Blog will use a combination of these scenarios to drive outcomes and transform stakeholder experiences (i.e., customer, employee, citizen, partner, etc.)