Embracing AI for Competitive Edge and Social Impact

AI is revolutionizing business by enhancing operational efficiency, innovation, and competitiveness, while also addressing global challenges like healthcare and sustainability. It enables companies to thrive while contributing to broader societal impact.

Deepa Nagraj, SVP & Global Head, Mphasis

October 28, 2024

5 Min Read
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Andriy Popov Via Alamy Stock

Think of a logistics company struggling to keep pace with its larger competitors. Inventory mismatches, delayed deliveries, and inefficient routing plaguing its operations. But everything changes when the company integrates artificial intelligence and machine learning (ML) algorithms into its supply chain processes.  

These AI solutions enable real-time inventory tracking, optimized delivery routes, and reduced operational costs. Suddenly, this logistics firm is not only thriving but competing against industry giants.  

 AI is redefining the rules of competition. No longer just a tool for tech-savvy giants, AI is leveling the playing field, empowering even smaller companies to compete with agility and innovation. It has also become integral to the modern workplace. About 75% of knowledge workers globally are using AI at work in 2024, with significant increases in adoption over the past six months alone, according to Microsoft and LinkedIn.  

The same AI technologies that enable companies to outperform their competitors are also being harnessed to address some of the world’s most pressing challenges, from improving healthcare outcomes to reducing carbon footprints.  

This dual potential -- driving business growth while advancing societal goals -- is what makes AI a game-changing enabler. 

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AI for Competitive Advantage and Social Good 

Maintaining a competitive edge requires more than just cutting-edge products or superior customer service. It demands agility, innovation and the ability to leverage data in real time. AI provides the tools to achieve these objectives. For businesses looking to enhance productivity, streamline operations, or provide personalized customer experiences, AI offers transformative capabilities. By integrating AI into their core processes, companies today are optimizing their operations, making data-driven decisions, and responding to market changes quickly. 

AI adoption isn’t just about automation, it’s about amplification. It amplifies the capabilities of every employee, enhances the effectiveness of every business process, and opens new avenues for innovation. Whether it's through predictive analytics, AI-powered customer service, or personalized marketing strategies, companies can leverage AI to redefine how they engage with customers and operate more efficiently. 

 Beyond business efficiency, AI's transformative power extends to addressing societal and environmental challenges. As the world grapples with issues such as climate change, healthcare accessibility, and economic inequality, AI presents a powerful tool for change. Nearly one in four social innovators today are deploying AI to advance the United Nations' sustainable development goals (SDGs), according to the World Economic Foundation. The aim is to address multiple challenges with AI, including within the area of healthcare. AI-driven analytics are also being used to monitor deforestation rates, optimize energy usage in cities, and provide personalized education solutions to underserved communities. 

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 AI-Powered Solutions and Operational Optimization 

Operational efficiency is crucial for maximizing resources and delivering high-quality services. AI streamlines operations, automates tasks, and cuts costs. For instance, a patient services company used AI to enhance patient adherence and streamline drug program rollouts. By implementing a conversational agent assist system, they extracted precise information from a vast repository of documents, providing timely and accurate data to patients, providers, and sales analysts. This not only improved patient support but also enabled faster, more effective responses to requests for proposals, demonstrating how AI can transform complex processes into efficient, agile systems. 

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 AI's Role in Corporate Social Responsibility (CSR) 

In CSR, AI has emerged as a transformative tool, enabling companies to create more substantial social impact through innovative, technology-driven strategies. Studies indicate that companies have shifted from traditional philanthropic efforts to leveraging AI for smarter, more adaptive CSR initiatives, post the COVID-19 pandemic. 

 AI has significantly enhanced environmental sustainability by providing real-time monitoring, analysis, and optimization. For instance, AI-driven analytics are being used to track energy consumption across a company’s operations, pinpointing areas where efficiency can be improved without compromising productivity. It’s also being used to optimize logistics and supply chains, reducing fuel consumption and minimizing emissions, thus shrinking the carbon footprint. 

In product development, AI is crucial in designing eco-friendly products by analyzing materials and creating sustainable alternatives. AI can also support developing and optimizing renewable energy sources, such as determining the best placement and operation of solar panels and wind turbines. 

 Beyond environmental initiatives, AI's capabilities extend to advancing social impact. AI-powered platforms can analyze vast datasets to identify communities that need the most help, allowing organizations to direct their resources effectively. This targeted approach is crucial in addressing global issues, including poverty, hunger, and healthcare access. AI tools can optimize the distribution of resources, ensuring aid reaches those in need more efficiently. 

 AI also supports educational initiatives, providing personalized learning experiences that adapt to individual needs, a vital contribution to regions with limited access to quality education. By investing in AI-driven educational tools, companies can help bridge the education gap, empowering future generations. 

 In healthcare, AI technologies have revolutionized patient care and public health initiatives. AI-driven diagnostic tools offer faster, more accurate analyses of medical data, improving early detection and treatment of diseases. In rural and remote areas, AI enables telemedicine services, broadening access to essential healthcare. AI also aids in managing public health efforts, such as tracking disease outbreaks and optimizing vaccination campaigns. 

 AI’s role in ethical supply chain management is increasingly crucial as consumers demand transparency and sustainability. AI can track and verify the origin of materials, monitor labor practices, ensure compliance with environmental regulations, and build trust with consumers. Actively identifying and mitigating risks in the supply chain promotes ethical practices and environmental stewardship. 

 Thinking of AI as merely a tool for business efficiency is limiting; it is a catalyst for meaningful social impact. By integrating AI into a company's CSR strategies, environmental sustainability initiatives, and social impact programs, organizations can address pressing global challenges. The transformative potential of AI demonstrates that profitability and social good can go hand in hand. Now is the time to embrace AI, as it offers the tools required to turn challenges into opportunities, ensuring sustainable growth and a better future for all. 

About the Author

Deepa Nagraj

SVP & Global Head, Mphasis

As the Global Head of Communications at Mphasis, Deepa Nagraj leads strategic PR and communication initiatives, focusing on technical thought leadership and corporate messaging. She oversees global PR in key markets, including North America, the UK, and India, while managing IT analyst and investor relations, as well as reputation and crisis management. Deepa is responsible for developing marketing collateral, driving account-based marketing for strategic clients, and ensuring effective internal communication. She also fosters relationships with industry bodies like NASSCOM and USIBC and oversees M&A communication. Additionally, as Head of Mphasis’ Sparkle Innovation Ecosystem, she champions innovation through startups, academia, and open ecosystems.

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