How Artificial Intelligence May Make A Dent In The Technology Productivity Crisi

Time: 2018-10-29 09:14:34 Source: FORBES


So far, the impact of information technology on overall productivity has been a mixed bag, and even disappointing. IT has been reshaping workplaces in a big way since the 1980s, yet, there appears to be little to show for all this progress -- many argue that technology may even inhibit productivity growth.
 

There are many reasons why the proliferation of technology doesn't automatically translate to productivity growth. For one, "technological disruption is, well, disruptive," Harvard's Jeffrey Frankel observed in a recent World Economic Forum report. "It demands that people learn new skills, adapt to new systems, and change their behavior. While a new iteration of computer software or hardware may offer more capacity, efficiency, or performance, those advantages are at least partly offset by the time users have to spend learning to use it. And glitches often bedevil the transition." Add to that the fact that individuals and organizations are being inundated with security issues and cyberattacks, and things get even more gummed up. Finally, there's the fact that people are being inundated with information and distractions by the minute.

Irving Wladawsky-Berger recently weighed in on this question in a Wall Street Journal piece, observing that technology is often brought in to automate existing processes -- which essentially merely speeds up what the business is already doing. That was the dilemma with the first wave of IT in the 1980s into 1990s, and is likely what we're experiencing now.  The lesson the first time around was what Wladawsky-Berger identifies as the "Solow Paradox" --  that "companies realized that using IT to automate existing processes wasn’t enough," Wladawsky-Berger points out. "Rather, it was necessary that organizations leverage technology advances to fundamentally rethink their operations, and eliminate or re-engineer business processes that did not add value to the fundamental objectives of the business."

That's even more the case these days, as organizations pour more money into the promise of digital transformation, expecting overnight rewards. "We are experiencing a kind oSolow Paradox 2.0, with the digital age more around us than ever except in the productivity statistics. There are several reasons for this lag. First of all, we’re in the early deployment years of major recent innovations, including cloud computing, IoT, big data and analytics, robotics, and AI and machine learning."

Will AI eventually increase productivity? Overall, it's still unknown, but there are benefits that can quickly be realized on an individual or departmental-level scale. A recen
report out of Constellation Research states that AI may help boost personal productivity in a number of profound ways.  AI advances the traditional software model, "allowing applications to learn and improve over time, without needing to roll out a new version," relates Alan Lepofsky, the report's author. "AI-enhanced software can assist in a variety of processes, from automating mundane tasks such as scheduling meetings to filtering through thousands of documents in order to recommend the best content."

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