Establishing a Critical AI Strategy to Overcome Key Adoption Barriers Siddhesh Naik IBM
In conversation with BW Businessworldby Rohit Chintapali, Naik of Siddhesh (Head of Data, AI and Automation Sales, IBM Technology Sales, IBM India/South Asia) spoke about AI adoption statistics and challenges limiting the application of AI in India . Read on for excerpts from the interview.
How does AI adoption in India compare to other countries in Asia?
AI adoption differs across companies, geographies, and industries. Recent data from the IBM Global AI Adoption Index shows that Indian and Chinese companies are leading the way in AI adoption, with nearly 60% of IT professionals in these countries saying their organization is already actively using AI, a considerably higher adoption rate than in the markets. such as Australia (24%) and Singapore (39%).
Additionally, the report finds that more than half of IT professionals in Indian companies exploring or deploying AI plan to invest in R&D (56%), which is higher than the Australian market (43%). Meanwhile, 52% of IT professionals in India say their organizations plan to invest in retraining and workforce development over the next year, which is ahead of the market for Singapore (48%). Clearly, Indian companies are starting to realize the power of AI and are starting to invest in it to gain an edge over their competitors. These trends point to an increasing role of AI within organizations as well as within society.
How do you see AI affecting the overall tech and business ecosystem in India?
Two of the main reasons companies are adopting AI are to improve customer experience and operational efficiency. Companies are using AI to automate and personalize customer service; telecommunications companies are using AI to offer new 5G services; and breakthrough capabilities to detect real-time fraud and automate business processes using AI. Additionally, AI is bringing new efficiencies to IT operations through automation, and customers are using AI to reduce carbon footprint and improve asset management, supply chain management, and productivity. environmental intelligence.
Are there significant challenges that limit the application of AI in the country?
Indian businesses today face a variety of data challenges including a variety of sources, types, structures, environments and platforms. Hybrid and multicloud architectures further complicate this multidimensional situation. Today, many companies have compartmentalized and hidden their operational data, which generates a lot of obscure information. A key step in overcoming major barriers to AI adoption is establishing an AI strategy, whether it’s a lack of skills, a lack of tools, or how to deal with issues such as data complexity.
With the growth of data and AI, what are IBM’s plans for India?
With enterprise AI adoption rates on the rise in the region, IBM is well positioned to seize this growing market opportunity after years of investing in R&D, experimentation, delivering new software capabilities innovations, acquisitions, a wide range of expertise via IBM Consulting and Suite. IBM is focused on AI for business, differentiating itself from competitors by providing organizations with the key capabilities needed to scale AI: natural language processing, trust, automation, and the ability to run anywhere in the world. any hybrid multi-cloud environment.
With data more siled than ever before, IBM is in a unique position to help organizations in India adopt a data structure architecture to centrally access, manage and derive insights from vast amounts of data, regardless of their size. location, how they are stored, and without ever having to. move it. To help organizations address data complexity challenges, we offer an approach called Data Fabric. IBM Cloud Pak for Data provides a data fabric architecture that enables a business to connect and access data in silos, in distributed environments without ever having to copy or move it, and with governance and built-in privacy.
IBM is helping meet the growing demand for AI in the region and helping organizations overcome barriers to adoption with IBM Watson. IBM Watson is AI for business. Today, IBM Watson delivers cutting-edge AI capabilities to users with a range of AI skills, from professionals looking to reclaim their time, to data scientists, IT and security professionals who operationalize IT. at scale.
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