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Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models

arXiv.org Artificial Intelligence

The fast pace of artificial intelligence (AI) and automation is propelling strategists to reshape their business models. This is fostering the integration of AI in the business processes but the consequences of this adoption are underexplored and need attention. This paper focuses on the overall impact of AI on businesses - from research, innovation, market deployment to future shifts in business models. To access this overall impact, we design a three-dimensional research model, based upon the Neo-Schumpeterian economics and its three forces viz. innovation, knowledge, and entrepreneurship. The first dimension deals with research and innovation in AI. In the second dimension, we explore the influence of AI on the global market and the strategic objectives of the businesses and finally, the third dimension examines how AI is shaping business contexts. Additionally, the paper explores AI implications on actors and its dark sides.


State of Enterprise AI In India 2019 Analytics India Magazine & BRIDGEi2i

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"A year spent in artificial intelligence is enough to make one believe in God" It's futile to deny it, but Artificial Intelligence(AI) is no longer the buzzword of tomorrow, it's a striking reality of today, and the enterprise landscape of AI has never looked more promising than it does today! By 2022, the global business value created by AI will touch a whopping $3.9 trillion, and spending on AI systems is expected to reach $79.2 billion1. Forecasts estimate that AI technologies will pervade every software product2 next year, and AI software revenue is expected to grow to 118.6 billion by 20253. All these are tantamount to the fact that AI is no longer just a differentiator but a core part of business functions! In India, the enterprise AI market is heading towards much wider adoption. An industry expert associates the Indian Enterprise Market for AI to be estimated to be $100 million, growing at 200-250% CAGR.


Best Artificial Intelligence Logistics Startups -- Transmetrics Blog

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This article about the best artificial intelligence logistics startups is part of the "Logistics of the Future" series looking at the top logistics startups today. We are officially living in the age of Artificial Intelligence. It's everywhere we look, from AI-powered personal assistants to predictive analytics to making medical diagnoses, Artificial Intelligence is making incredible advances across all industries. In fact, a recent report on the state of Artificial Intelligence for enterprises found that supply chain and operations are some of the top areas where businesses are driving revenue from AI investment. Why is AI making such a big difference in the logistics and supply chain, particularly?


The Top 100 Software Companies of 2021

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The Software Report is pleased to announce The Top 100 Software Companies of 2021. This year's awardee list is comprised of a wide range of companies from the most well-known such as Microsoft, Adobe, and Salesforce to the relatively newer but rapidly growing - Qualtrics, Atlassian, and Asana. A good number of awardees may be new names to some but that should be no surprise given software has always been an industry of startups that seemingly came out of nowhere to create and dominate a new space. Software has become the backbone of our economy. From large enterprises to small businesses, most all rely on software whether for accounting, marketing, sales, supply chain, or a myriad of other functions. Software has become the dominant industry of our time and as such, we place a significance on highlighting the best companies leading the industry forward. The following awardees were nominated and selected based on a thorough evaluation process. Among the key criteria considered were ...


AI Will Put 10 Million Jobs At High Risk -- More Than Were Eliminated By The Great Recession

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We analyzed which jobs are most -- and least -- at risk, given factors including tasks involved, the current commercial deployment of technology, patent activity, regulations, and more. Meanwhile, several big corporations have open sourced their AI software libraries in recent years -- another major accelerant for AI. Our time frame was the next 5-10 years, and the relative risk of automation was based on factors including tasks involved, current commercial deployment of technology, patent activity, investment activity, technological challenges, and regulations. Google Ventures and Khosla Ventures recently funded burger-flipping robot Mometum Machines (funding and patents below).