Tag Archives: machine learning

AI Leadership Strategies

Artificial Intelligence: 13 Ways to Succeed with AI

AI is at the heart of digital disruption; By end of 2019, 40% of DX initiatives will use AI services and AI will be the technology that will propel DX. By 2021, 75% of commercial applications will use AI; By 2022, 75% of IT Ops will be enabled by AI; by 2024, By 2024, AI-enabled interfaces will replace 30% of today’s screen-based applications; By 2024, 7% rise in AI-based automation will drive new wave of business processes.

Here are 13 ways you can succeed with AI in your organization:

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Retail

Retail Renaissance: Takeaways from the NRF “Big Show” 2019

NRF’s Big Show 2019 should have been held in Phoenix. Like that city’s namesake, a long-lived bird of mythology, retail cyclically regenerates, arising from the ashes of its predecessor. While retail is clearly not in ashes, it is being reinvented before our eyes.

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2019 Predictions IDC FutureScape - Worldwide Predictions

Top 10 Worldwide Intelligent ERP 2019 Predictions

IDC Worldwide iERP 2019 Predictions

In this study, the global team of IDC analysts presents the top 10 predictions around intelligent ERP (i-ERP) and associated intelligent enterprise applications. i-ERP and intelligent enterprise applications use machine learning (ML), artificial intelligence (AI), and advanced analytics built on a large, curated data set to forecast, track, learn, route, analyze, predict, report, and manage enterprise assets and business processes. Intelligent ERP and intelligent enterprise applications feature an assistive and conversational user experience and free users’ time for higher-value tasks by automating high-volume repeatable tasks and augmenting (via human-machine interaction) the performance of less frequent, more novel tasks. They are capable of processing, analyzing, and acting on massive volumes of data in real time using in-memory computing (IMC) technologies. As systems that learn, i-ERP and intelligent enterprise applications must allow for ongoing reconfiguration to enable process refinements and user experience (UX) adaption.

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