India AI Predictions for 2021 and Beyond as Organizations Focus on Unleashing the True Value of the Data: IDC

IDC FutureScape

International Data Corporation (IDC) has published the IDC FutureScape: Worldwide Artificial Intelligence 2021 Predictions – India Implications for 2021. Organizations in India are embracing AI driven by improved internal efficiencies, competitive edge, and enhanced customer experience (CX). Driven by enterprise resiliency, leveraging tech has become existential in the journey to the new normal.

Organizations in India have stated digitally enhancing the products, services, & customer experiences as the number one priority for 2021-22. Organizations are looking at improving digital-first engagements and unleashing the true value of the data being generated by their ecosystem. AI becomes pivotal for these organizations to gain insights into business operations, products/ services, experiences, and/or ecosystems.

“The pandemic has been a catalyst for overall AI adoption in India. In the data-driven journey, organizations are focusing on intelligent systems for actionable business insights. Businesses are embracing technologies like conversational AI and machine learning, driven by their business objectives of innovation, resiliency, and offering transformative experiences,” Rishu Sharma, Principal Analyst, Cloud and AI, IDC India.

Some of the key AI predictions that would impact the technology buyers and suppliers in India in 2021 and beyond are:

#1 AI Explainability: By 2023, over 40% of consumer-focused AI decisioning systems in finance, healthcare, government, and other regulated sectors will include provisions to explain their analysis and decisions.

#2 AI Powered Development: By 2025, the number of data analysts and scientists to adopt AutoML for the end-to-end machine learning pipeline from data preparation to model deployment will double.

#3 AIOps Adoption: By 2025, AIOps will become the new normal for IT operations, with at least 40% of large enterprises adopting AIOps solutions for automating major IT system and service management processes.

#4 Neuro-Symbolic AI: By 2026, 20% of all AI solutions will be closer to AGI — leveraging neuro-symbolic techniques that combine deep learning with symbolic methods to create robust humanlike decision making.

#5 AI Enabled Edge Computing: By 2024, 50% of enterprises will run varying levels of analytic and AI models at the edge and 30% of those edge AI applications will be accelerated by heterogeneous accelerators.

“Indian organizations are looking for technology vendors and integration partners to bridge the talent gap and enhance decision making capabilities. AI is turning out to be helpful in directing decisions on everything from bank loans, risk assessment, automated customer service, crop advisory, healthcare, and others,” Swapnil Shende, Senior Market Analyst, IDC India.

Related posts

Gartner Identifies Three Imperatives Driving the Top Trends in Data and Analytics for 2022

SSI Bureau

Decade-Old Router Flaw Highlights Risk of Reused Vulnerable Software Code, According to Tenable Research

SSI Bureau

Building strong culture and changing leadership role is paving the way for hybrid work model – NASSCOM BCG Future of Work Report

SSI Bureau

Leave a Comment

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Accept Read More