Artificial Intelligence (AI) has been evolving faster than any other technology in recent days. However, the poor availability of high quality data has been preventing companies from fully unlocking the potential of AI. Despite the increasing desire to digitize and incorporate data into business, 85% of machine learning (ML) projects are expected to fail. To successfully implement AI, companies need to undertake several AI projects and learn from their failures and successes.
The most successful AI solution for achieving ROI after implementation is chatbot software. These AI-enabled programs can mimic real-life conversations with users by recognizing patterns via natural language processing and machine learning. Apart from integrating easily with a company’s website or customer care service offering, chatbots help businesses save both time and money.
Off-the-shelf AI solutions available in the market often lack certain capabilities that are specific to different businesses, regions, and industries. Therefore, these solutions require significant customization to cater to particular requirements, especially in industrial environments. To maximize ROI, developing a customized solution with an AI domain expert can be the best approach for companies to achieve their desired AI outcomes.
Customized AI algorithms can help optimize manufacturing lines to be more energy efficient. By monitoring individual production plans with machine learning models, anomaly detection and optimization of settings according to the plant’s particular requirements can be achieved. Customized solutions can cater to specific business needs and allow AI to increase efficiency, accelerate decarbonization, and deliver ROI.
For AI to have a positive impact and add value to businesses, it is important to identify areas of optimization according to the specific business priorities. With increasing importance placed on sustainability in the manufacturing sector, AI can help analyze variables and recommend optimizations resulting in cost-effective and high-quality products.
To achieve the next level of electrification, automation, and decarbonization, organizations can boost productivity using adaptable, agnostic solutions that address particular challenges and complexities. By embracing AI, businesses can make a lasting, future-proof impression on their sustainable impact. The future of decarbonization lies in the hands of AI, with its ability to enable lower carbon emissions after implementation.
