Artificial Intelligence

AI ml in chemical industry

Transforming Business with AI and ML in the Chemical Industry

Transforming Business with AI and ML in the Chemical Industry 1920 1080 Xcelpros Team

At a Glance

  • Innovation is the name of the game for chemical companies to optimize operations and enhance profits. To fast-track innovations, use of AI and Machine Learning in the chemical industry is crucial.
  • Many in the chemical industry are touting benefits of leveraging AI and machine learning to analyze data, systemize processes and mitigate errors by minimizing manual interventions.
  • Human-machine combination is proving to be a transformational phenomenon that can change the way the chemical industry is functioning in the USA and all over the world.

Introduction

The world is growing and seeing changes at an unprecedented rate. The year 2020 has shown us that advancement in science, especially the field of chemicals (and related fields such as biotechnology that deal with the vast majority of chemicals), cannot come fast enough! We need faster, error-free methods to test chemical molecules, computer-generated models for process optimizations, and digitally-adept sensors for quality controls. AI and machine learning play an integral role in efficiently taking the chemical industry towards a trend of modernization and innovation.

The path to digital transformation involves infusing AI into crucial processes and milestones. The journey includes digitizing assets, automating processes based on those assets (known as digitalization), and then creating new ways of doing business.

Figure 1 AI is the greatest commercial opportunity in today’s economy

When organizations invest in AI, the goal is to create and enhance digital experiences. AI apps can employ skills to mimic human cognitive functions such as vision, speech, and natural language understanding. By including these human-like capabilities, AI can enable organizations to construct digital experiences that are smart, fast, and helpful to end-users.

A recent study by Accenture shows some promising figures when it comes to use of artificial Intelligence in the chemical industry. According to research, companies that have implemented Industrial AI in the chemical sector are exhibiting significant benefits as follows:

72%report a minimum 2x improvement in some process KPIs

37%report a 5x improvement in KPIs

4 Ways of Applying AI and Machine Learning in the Chemical Industry

While every enterprise has its blueprint to follow when it comes to the application of tools and techniques on AI and Machine Learning, certain broader areas can be common for the chemical industry. Let us have a look at 4 such facets:

01. Data Crunching and Analysis for Molecular Activity Studies

Understanding chemical products and utilizing them for desired effects usually take years of analytical studies, laboratory experiments, clinical trials, farm trials, etc. However, these days, faster results that can mitigate manual errors and minimize efforts are required. Machine learning and AI tools are effectively used to feed and churn a humongous amount of data, and can systematically analyze the said data. This data churning and analysis will help separate chemicals that are effective yet have fewer or no side-effects from the ones that do not have desired effects or are toxic. Apart from the use of AI and machine learning in the pharmaceutical and pesticide industry, possibilities can also be explored in the manufacturing industry, which is heavily dependent on chemicals. Applying AI and machine learning in the chemical industry can also help expedite the efforts in fighting climate change by estimating the damage done by harmful pollutants. This will aid companies in making essential changes in their machinery and processes to minimize the pollutants being released into the water bodies and air.

02. Result-oriented Innovation and Boost in the Chemical Industry R&D Sector

R&D forms the backbone of any industry, and the chemical industry is no exception to this. Today, major players in this sector are looking for focused R&D and innovation that can yield faster and more accurate results following the use of artificial intelligence in the chemical industry. Machine learning tools can help in exercising this type of quick research with the help of computerized permutations and combinations. It can also help in recognizing the right molecules, generate formulas, and aid in knowing the precise quantities of different chemicals required. AI, on the other hand, can help in predicting chemical combinations that can be a breakthrough in terms of innovation. These innovations can boost the ongoing and upcoming efforts in the pharmaceutical, food, biotechnology, oil and gas, petrochemical, manufacturing, and many such industries.

03. Seamless Juxtaposition of Human and Machine Efforts

Since the introduction of computers in the workplace, humans and machines have proven to be the best combination for effective results. However, digital transformation and the introduction of layers and layers of machine-generated intelligence can make this combination even more successful than ever before. Imagine an idea that has come out of the human mind, but it can be analyzed, tested, and streamlined to mitigate risks or errors even before it has physically been put to the test? This can lead to unprecedented time and efforts being saved. Such amalgamation of human and machine efforts can influence the chemical industry to fast-paced innovations, productions, operations optimization, and other concurrent developments.

04. Preventative Measures and Predictive Forecasting

In today’s industrial world, competition is steep and it is essential for enterprises in the chemical industry to be prepared and to be proactive. AI and machine learning tools can help a great deal in this by predicting snafus or future maintenance requirements. Advanced analogs and mathematical models can also be used to estimate oil, gas, and other raw material demands so that the companies can streamline their supply chain in a manner that avoids potential delays and last-minute cost hikes.

While these applications of AI and machine learning cover the broad spectrum when it comes to the chemical industry, there is still a lot of research and development going on in this field. As the world embarks upon a new journey of Industry 4.0, it would be interesting to see more transformations brought in by the use of artificial intelligence in the chemical industry.

Where is the Challenge?

AI-enabled systems are helping companies achieve objectives, goals, and enhance user experience. However, each time a system is not maintained correctly, the process begins to decay by behaving unpredictably. Organizational leadership can thus lose confidence in AI as a process enhancement system. Moreover, organizations should have the required maturity—which encompasses strategy, culture, organizational structure, and core capabilities—to own an AI-based system responsibly. In some cases, this may mean a withdrawal or rejection of AI technologies based on unsuccessful attempts to adopt AI. Organizations or their customers may lose trust in AI as a technology, branding it as unpredictable or too hard to operate. This outcome will push real digital transformation further away and cause the organization to miss out on the powerful impact that AI can have on their business.

Microsoft has worked on defining an operational model that helps organizations assess their attributes that contribute to the adoption of AI technologies. A well designed AI Maturity Model assists organizations in gathering information related to the core characteristics required for teams. Forward-thinking organizations that have embraced AI are witnessing improvement in user behavior. The transformation meets all prime objectives of a Chemical company, mainly driving productivity, sales, Environment Health and Safety, appropriate management of hazardous chemicals in the warehouse.

Figure 2AI Maturity Model

Additionally, Microsoft has compiled prescriptive guidance associated with adopting the right AI technologies for an organization’s current maturity level, while advising on how to increase maturity to embrace more advanced AI capabilities.

Key Takeaways

  • AI and machine learning in the chemical industry can be critical players in clinical trials, farm trials and overall study of chemical molecules.
  • With the cutting-edge application of AI and machine learning tools, the chemical industry can streamline its processes and supply chain for better operations and enhanced profitability.

Explore how you can transform processes, engage customers, and modernize your apps with Microsoft Business Applications.

About XcelPros

XcelPros is a Chicago-based company and delivers transformation through technology. We offer business and technology solutions with deep industry experience in Chemical, Pharma, Life Sciences (including Medical Devices, Bio-Medical & Biotech), Insurance, Discrete Manufacturing, Process Manufacturing, Distribution and Food & Beverage.

XcelPros is a Microsoft Gold Partner, Direct Cloud Solutions Provider (CSP) and a Systems Integrator (SI) offering software licensing, implementation and consulting services for Microsoft Dynamics 365, CRM, Microsoft Dynamics AX, Business Intelligence & Analytics (Power BI), SharePoint, Office 365 and Azure (Cloud, IOT, Microsoft Flow amongst many others).

Our mission is to provide integrated technology solutions that amplify impact and empower our customer’s businesses. We believe technology is the key enabler of exponential growth for us and our customers.

Contact XcelPros today to transform your business.

Call us toll-free – 1.855.411.0585 (or) visit www.xcelpros.com

ENTERPRISE PROCESS AUTOMATION TRENDS

Upcoming Process Automation Trends That Will Transform Your Enterprise

Upcoming Process Automation Trends That Will Transform Your Enterprise 1500 1167 Xcelpros Team

Introduction

The ultimate goal of any enterprise is that of speeding up processes, reducing errors, and increasing business output for better revenue generation. With the onset of the digitization era, companies have upgraded their technological prowess to adapt to process automation. It is important to understand that in the rapidly transforming world, process automation is not just a technological ability to speed up processes but a strategic movement towards better use of software to streamline workforce, introduce better work practices and mitigate cost inflations. Since COVID-19, process automation has turned into a need of the hour to improve operations that are built with adherence to process compliance and yield better outputs with a limited workforce. This means process automation will transform enterprises at a larger scale to increase agility and reduce dependency on manual work.

Manual Vs Automation

Is your business still operating through manual handoffs, excel macros, and cumbersome reporting? As businesses are integrating automation in more rapidly in different facets right from HR to Marketing, Production, Sales, and Information Technology; there is a considerable reduction in human intervention for mundane and simpler tasks. A component of efficiency will be introduced with the implementation of Robotics and Artificial Intelligence (AI) in process automation. According to a leadership piece by Sogeti (1), enterprises will look into integrating robotics process automation (RPA) with AI to extract more business value. Read on to know why an enterprise should consider intelligent process automation for complete transformation and the latest trends that will help businesses along the path of said transformation.

Why Embracing the Latest Process Automation Trends and Techniques is a Necessity for an Enterprise?

As an enterprise, you need to ask yourself a key question: Where should the business’ attention be?

While at face-value this question may seem trivial, the entire enterprise architecture revolves around this key aspect. The more attention your skill base gives towards the latest trends like the Internet of Things (IoT), Machine Learning, Cloud, Advanced Analytics, Artificial Intelligence, and automated-integrated workflows, the better streamlined and agile your workforce would be. Hence it is highly significant for enterprises to explore deep into the latest process automation trends and make their employees acquainted with these trends for a competitive edge.

There is no doubt about the fact that legacy systems need upgrades and modernization to encompass latest trends of digitization, modern technologies and to become aligned with the fast-paced, changing business demands. Process automation plays a key role here. If not for process automation, the IT systems would face the brunt of not being able to keep up with business process improvements (carried out usually at a large-scale), leading to lesser productivity and overall loss of revenue. Automation helps you form ‘bundles’ of data and migrate them to platforms for systematic records management. Process automation can help your enterprise reduce the error rate, and increase productivity at a lower cost. But one point to remember is that the process automation described above would only make sense if your company has already transformed into a modern ERP system.

Figure 1 8 Reasons to Automate Your Business Processes

The Up and Coming Trends in Process Automation That Will Transform Your Enterprise

1.Handling the Unstructured Data Challenge: While data on systems has been very much taken care of by current process automation tools, enterprises and their related facets still struggle with unstructured forms of data such as hand-written notes, bills, invoices, images, etc. With the introduction of machine learning and artificial intelligence, businesses are digging up automation solutions that will not only recognize this type of data (with the help of Robotics), but also assimilate and use it in processes similar to structured data.

2.Low-Code Solutions for Faster Results: Robotic process automation when integrated with low code solutions forms a golden bridge of zero human intervention and faster application development. These low code solutions enhance efficiency as well as help in transforming core processes like Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP).

3.Integration of Robotic Process Automation (RPA) with Business Process Automation (BPA): Interdependent workflows have always been a part of large enterprises and the IT skill set in an organization has mostly been at the helm of managing these interconnecting processes in a complex workflow system. The latest automation tools will help in integrating RPA with BPA resulting in the formation of intricate workflows and implementation of all the related processes.

4.Real-Time Automated Decision Making: Enterprises will see more and more management of big data with the help of artificial intelligence and this will facilitate the way for flexible tools for IT operations that will preempt glitches and provide real-time solutions. This will help in better resource-allocation, lesser communication gaps, and fewer outages.

5.A Chance Towards Skill Set Upgrade: When computers were introduced as a tool to reduce human effort, they were met with a lot of apprehensions. In fact, many considered them as machines that would make a human contribution to technology obsolete. Similar apprehension and even cynicism can be seen in the case of process automation tools and software. After all, process automation eliminates the need for human intervention, making many technical jobs outworn.

However, enterprises are now looking up to this advancement in process automation as a chance to upgrade the skill set of their current employee base and make them adept in the latest technologies and tools. This will not only help the IT personnel move from labor-intensive, monotonous jobs to skill-based, dynamic ones, but it will also create a learning curve in the industry resulting in more innovations. When put in perspective, automation is not the cause for losing jobs, it is instead an opportunity for companies to fill the skill set gap and enhance the expertise of their IT personnel for innovation and better strategic output.

By 2023, AI-enabled automation in data management will reduce the need for IT specialists by 20%Source: Gartner report

The Changing Landscape

An enterprise cannot deny the fact that adapting to the need of the hour with the latest process automation trends is going to work in favor of its core business value. Numerous users across organizations will gain access to data, automated workflows that will be systematically prepared, and actionable insight that will aid towards building an agile enterprise. In the current market being agile as a company will be your strong suit. As they say, the cards are laid on the table; it is up to the businesses now to play their hand wisely!

Figure 2 Robotic process automation (RPA) market revenues worldwide from 2017 to 2023 (in billion U.S. dollars)

  

Source : Statista

Remote work is becoming more prevalent post-COVID-19. Companies are looking for more ways to streamline operations, engage the workforce, and yet meet the needs of customers. Process automation plays a major role in volatile market conditions during COVID-19. A combination of Microsoft’s Power Platform, AI – ML, Dynamics 365 for Sales and Dynamics 365 ERP, integrated with Teams allows users to streamline their processes and build needed visibility for management to effectively view the progress of operations remotely.

In fact, a successful use case off-late within various companies is to integrate Dynamics 365 with flow, teams, planner, and SharePoint to enhance compliance of process, coordination with team members remotely, track processes that are running in each department and provide task execution clarity for each employee within a department. More companies are adopting this suite of tools to improve productivity and simplify workforce engagement. All major functions of a company – be it Procurement, Sales, Manufacturing, Quality, Finance or HR, when unified together help a business stay afloat during challenging market conditions and support the over well-being of a business.

Key Takeaways

  • Introduction of Automated workflows, Artificial Intelligence, Cloud, Big Data, Machine Learning, and Advanced Electronics has changed the face of process automation for better and faster results.
  • Enterprises will need to invest more in advanced process automation tools to stay ahead in the competition and to gain critical business value.
  • Evaluate low-cost solutions for process automation that is easily customizable for your business and build enhanced visibility of how your company is performing in a challenging market.

About XcelPros

XcelPros is a Chicago-based company and delivers transformation through technology. We offer business and technology solutions with deep industry experience in Chemical, Pharma, Life Sciences (including Medical Devices, Bio-Medical & Biotech), Insurance, Discrete Manufacturing, Process Manufacturing, Distribution and Food & Beverage.

XcelPros is a Microsoft Gold Partner, Direct Cloud Solutions Provider (CSP) and a Systems Integrator (SI) offering software licensing, implementation and consulting services for Microsoft Dynamics 365, CRM, Microsoft Dynamics AX, Business Intelligence & Analytics (Power BI), SharePoint, Office 365 and Azure (Cloud, IOT, Microsoft Flow amongst many others).

Our mission is to provide integrated technology solutions that amplify impact and empower our customer’s businesses. We believe technology is the key enabler of exponential growth for us and our customers.

Contact XcelPros today to transform your business.

Call us toll-free – 1.855.411.0585 (or) visit www.xcelpros.com