At present, chemical industries are at a critical moment of transformation and … In the polymer industry, the amount and variety of unprocessed data is incredibly high.

The work done by Showa Denko K.K. The first and foremost outcome would be the predictive asset management since the chemical industry is known to be an asset intense business area. Together, these two technologies will help reshape the chemical industry and the companies within it.The report sets out five recommended steps to make sure your business is ready.These technologies are tools, not ends in their own right. Machine learning and deep learning are two of the most exciting … Industry will soon be similarly affected. Will your business be a leader—or one of the left-behinds?Managing Director, Accenture Strategy, Chemicals & Natural ResourcesManaging Director, Accenture Strategy, Chemicals & Natural ResourcesSenior Manager, Accenture Strategy, Chemicals & Natural ResourcesManager, Accenture Strategy, Chemicals & Natural Resources The oil and gas giant, BP is a great example of the industry’s increasing interest to harness the power of AI. While AI-assisted solutions, and other associated technologies, such as robotic process automation (RPA), Internet of Things (IoT), automated drones and quantum computing, are still relatively new for many CPI applications, developers and users alike are realizing their potential benefits for expediting research and development (R&D), predictive maintenance, process optimization and more.Within its Smart Operations initiative, Henkel AG & Co. KGaA (Düsseldorf, Germany; While Henkel has seen success in its AI projects, any implementation of new technologies is not without its challenges. The team’s goal is to evolve the AI software into a microscopic continuous-monitoring solution to handle additional microorganisms and other contaminants beyond cyanobacteria.Last month at the 2019 Consumer Electronics Show (CES) in Las Vegas, Nev., ExxonMobil Corp. (Irving, Tex. At the same time, it can open the door to new product and service offerings and enable chemical companies to:AI-based customer-specific forecasting and demand sensing support highly targeted, proactive sales—even shipping goods before customers place orders.Data-driven R&D reduces price leakage through superior product quality and faster innovation cycles.A much richer understanding of customers helps identify new applications/markets for products.Advanced analytics offer greater right-first-time production, optimized change-overs and smart maintenance to reduce unplanned downtime.24/7 AI-powered customer service reduces churn rates, with higher levels of data-driven service quality.Virtual technical sales agents support customers, resolving queries, answering questions and informing them of new offerings.Blockchain promises to solve several long-standing challenges in the industry—not only streamlining track and trace across the supply chain, but also exposing previously unseen patterns in the downstream value chain.

Even with the challenges, Sreekumar emphasizes that Henkel has realized many AI benefits, from expediting speed to market for new product formulations and scaleup to rapidly detecting and resolving product-quality issues. AI has the potential to disrupt every aspect of a chemical company’s business model, from customer interaction and operations, to sales and R&D. Artificial intelligence, machine learning, and deep learning are now being used in the chemical industry. Considering numerous control factors, such as reactor pressure, temperature and feedrate, as well as the impact of these parameters’ variations on other properties, the module will enable users to predict and tailor final product properties without conventional trial-and-error development techniques. (SDK; Tokyo; FIGURE 1. There is already a separate, active Accenture Careers account with the same email address as your LinkedIn account email address. Make your AI vision a reality by knowing where to start and how to scale. Map out a clear change journey, including reskilling.Be aggressive in recruiting the necessary skilled resources—they’re only going to get scarcer with time.New ways of working with data will require new platforms. However, the lack of … Within its Smart Operations initiative, Henkel AG & Co. KGaA (Düsseldorf, Germany; www.henkel.com) is utilizing AI capabilities in its global process operations and supply chain.

British-born BenevolentAI, which has a valuation of $1.8 billion, is the largest private AI company in Europe. This will navigate you to Accenture.com Sign In page.Despite strong recent performance, challenges abound for the chemical industry. “Usually, AI is not as efficient for polymer design because it tends to recommend similar polymers that have been previously examined. Using AI-assisted polymer design, the number of trials required to target a particular material property is drastically reducedThis is not the first application of AI in the polymer-design sphere, but it is set apart by its use of Bayesian optimization, which further accelerates the process. Moreover, according to AxiPolymer, the module can provide guidance on necessary changes in the current state of the system based on practical constraints to maintain the target properties of the final product (Figure 2).FIGURE 2. “We use AI to run efficient analyses of complex data arrays for achieving higher production performance, quick product innovation and scaleup for our self-adjusting production systems,” explains Sandeep Sreekumar, global head of Adhesive Digital Operations at Henkel. Sensor technology and advanced analytics create smart equipment that can identify patterns …

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