This is a Guest Blog by Mr. Dhwanit Shah, Senior Vice President – Digital Solutions, MSys Technologies
The revolutionary potential of AI and ML has just begun to unravel. As these technologies evolve, firms across the industrial segments will benefit tremendously from their applications.
The transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) is very much apparent today. These new-age technologies are making businesses more efficient, and by helping firms to upgrade product quality, manage operations efficiently, and deliver superior customer experiences, these are proving game changers for industries across the globe. From the manufacturing sector, healthcare technologies, and FMCG to the service industry and supply chain, AI and ML are bringing holistic benefits to every stakeholder in the value chain. Here is a complete lowdown on how the AI and ML revolution is changing the fortunes of businesses across functional procedures and operational domains.
1) Innovations in Manufacturing Sector: AI and ML are proving helpful in boosting the manufacturing sector’s efficiency and effectiveness across the value chain. Smart algorithms enable manufacturing firms to optimize their sourcing operations, inventory management, and production schedules for superior performance. Many renowned names, including Tesla, have already integrated AI and ML to optimize their sourcing and production operations. On the other hand, Siemens uses AI and ML for predictive maintenance to help predict potential breakdowns and work proactively to avoid the expensive downtimes associated with operational breakdowns.
2) Healthcare System Revolution: The significant advancement in the healthcare system of modern times can be easily attributed to the enhanced use of AI and ML in the sector. The processing of the patients’ data has become more seamless, and the attributes related to the precision of treatments have also increased significantly. Further, these technologies catalyze the invention of new drugs and could prove helpful in facing the dangers associated with potential pandemics that arise in the future. Armed with AI and ML, tech giants like Google, IBM, and Amazon have already started investing big in healthcare, which will make the entire medical care ecosystem more dynamic and vibrant in the coming years.
3) Restructuring Retail Segment: The ability of AI and ML to restructure the entire customer experience in the retail sector is simply phenomenal. While AI has exceptional capabilities in augmenting and personalizing buyers’ shopping experiences, ML algorithms can learn from past purchasing patterns and recommend buyers products that are aligned with their choice and preferences. Most online retailers have already included AI and ML on their platforms and offer superior customer experiences through personalized recommendations, immersive viewing experiences, and customized offerings.
4) Reimagining Supply Chain and Logistics: There are several areas where the assistance of AI and ML is bringing the best out in the supply chain and logistics sector. By analyzing past data, AI can help logistic firms to optimize their warehouse management, routing operations, and process management, among others. The smart algorithms can also prove helpful in decreasing delivery times and offering real-time information to stakeholders for bringing more efficiency to the overall transport and logistic systems. The leading global delivery service provider UPS, for example, is using AI and ML technologies to optimize their operations and successfully save a lot of fuel and resources in the process.
5) Financial Sector Reimagined: In the field of finance, AI and ML are specifically proving beneficial in detecting fraud, assessing the risks, and forecasting ROI on important parameters of performance. Leading banks and financial institutions, including the likes of JP Morgan, Goldman Sach, Deutsche Bank, and Morgan Stanley, are harnessing the power of smart algorithms for effectively managing their asset classes, wealth management services, and assessing investment opportunities, among others.
As AI and ML continue to evolve, mature, and streamline, the game-changing potential of these technologies is increasingly being recognized across product categories and service domains. In the next couple of years, AI and ML will change the very face of industrial segments and take the efficiency of firms to a different level altogether. That said, a few critical challenges need to be addressed before the full potential of AL and ML can be realized. Prominent among these are issues related to data privacy, ethical considerations, reskilling of the workforce, legislative provisions, and the like. In order to find solutions to all these constraints, it is recommended that all the stakeholders in the technology ecosystem come together and put in concerted efforts to create a win-win situation for delivering encompassing benefits.
