Two Large Barriers to Widescale AI Adoption in Chemical Manufacturing

November 8, 2019

A report by Accenture postulated $550 billion could be unlocked for the chemical industry in the next decade by digitalization. Though chemical companies are eager to embrace opportunities that will enhance efficiency and boost revenue and profitability, few have fully harnessed the available tools. Why? There are a variety of barriers to AI implementation in the chemical industry that are common across all industries - issues like data quality, data access, and the ability to operationalize machine learning models are taxing for all. But there are also a few specific challenges for chemical manufacturers.

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SAP is a global software application vendor. SAP is the market leader in enterprise application software, helping companies of all sizes and in all industries run at their best: 77% of the world’s transaction revenue touches an SAP system. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers’ businesses into intelligent enterprises. Our end-to-end suite of applications and services enables our customers to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.

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