industry disruption
Predicting post-pandemic tech startups and industry disruption
This article is contributed by Hari Shetty, sector head and senior vice president of technology platforms & products at Wipro Limited. After a disruptive year, enterprises and startups are finding greater success together. Prior to 2020, the term "disruption" typically referred to startups and innovators that were doing things differently -- disrupting established industries like ecommerce, banking, and health services through a combination of new technologies and innovative business models. But the pandemic pushed companies over a technological tipping point. Now, even leaders who were reluctant to change with the times are embracing technology to keep pace.
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- Information Technology > Services (0.60)
- Food & Agriculture > Agriculture (0.51)
- Transportation > Ground > Road (0.31)
- Information Technology > e-Commerce (0.54)
- Information Technology > Communications (0.53)
- Information Technology > Artificial Intelligence (0.51)
Artificial Intelligence (AI) Industry Disruptions
Organizations such as Facebook, Netflix, Amazon, and Google are leading the deployment of ML for analyzing and understanding user activities and preferences to recommend and sell products. Availability of multilingual support, API integrations, and associated services are expected to create opportunities for NLP. With increasing amount of text data being generated and need to make sense of it across various industry verticals, NLP finds a growing implementation across end users of AI. Computer vision is playing a significant role in semi-autonomous and autonomous cars in interpreting hand gestures/signals. It is also used for monitoring crop health and nutrition deficiency in agriculture.
- Information Technology (0.68)
- Food & Agriculture > Agriculture (0.31)
- Information Technology > Artificial Intelligence > Vision (0.68)
- Information Technology > Communications > Social Media (0.59)
Flipboard on Flipboard
The topic of industry disruption -- "a process whereby a smaller company with fewer resources is able to successfully challenge established incumbent businesses" -- is rife with misconceptions. One of the biggest is that it is a mysterious, random, and unpredictable event. Another is that it happens to you in ways that are beyond your control. Those views may have been valid at one time, but they no longer apply. Industry disruption, as Accenture research has found, is reasonably predictable.
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Disruption from Articial Intelligence already started: Infosys
BENGALURU: Infosys President Mohit Joshi today said Industry disruption from Artificial Intelligence (AI) was already on and organisations not using it to amplify their workforce will fall behind or find themselves irrelevant. "Industry disruption from AI is no longer imminent, it is here. The organisations that embrace AI with a clearly defined strategy and use AI to amplify their workforce rather than replace it will take the lead and those that don't will fall behind or find themselves irrelevant," he said. Joshi said this in a statement while releasing the company's global research on the impact of Artificial Intelligence (AI) at Davos, where the world Economic Forum is currently underway. The research findings says enterprises are moving beyond the experimentation phase with AI, deploying AI technologies more broadly and realizing benefits across their business. The research report "Leadership in the Age of AI" surveyed more than 1,000 businesses and IT leaders with decision making power over AI solutions or purchases at large organisations across seven countries.
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