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Faster AI adoption – Why is it important?

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Posted on Nov 17, 2023
by Nitin Bhosekar ( Head Analytics, Artificial Intelligence, BI Practice & Executive Vice President)

Faster AI adoption – Why is it important?

In one of his recent blogs Sundar Pichai, CEO Alphabet stated "Over time, AI will be the biggest technological shift we see in our lifetimes. It's bigger than the shift from desktop computing to mobile, and it may be bigger than the internet itself. It’s a fundamental rewiring of technology and an incredible accelerant of human ingenuity."

While that might sound like a futuristic overestimation, there are already signs that a massive shift is underway. Businesses and organizations who are looking to benefit from this monumental shift are trying to find ways to adapt to this AI revolution.

AI in general and Generative AI in specific, will help businesses & organizations in numerous ways.

AI in general and Generative AI in specific can help businesses & organizations in quite a few ways. Following are some of the key areas ripe for AI adoption:

  1. Content Generation
    Generative AI can create text, images, and videos to assist businesses in content creation and marketing efforts. It can automate the process of writing product descriptions, focused articles, social media posts, and generate visuals for advertising campaigns.

  2. Product Design
    Generative AI can generate and refine product designs based on specific constraints and requirements. For instance, it can generate multiple design options for a product based on user preferences or optimize designs for efficiency and cost-effectiveness. It can help enhance features and benefits delivered by an existing product.

  3. Virtual Assistants and Customer Support
    AI can power virtual assistants and chatbots to provide automated customer support. These virtual assistants can understand and respond to customer queries, provide product information, process transactions, and offer support 24/7.

  4. Data Analysis and Insights
    AI can help in analyzing massive amounts of data and extracting valuable insights. It can identify patterns, generate forecasts, and provide recommendations for decision-making, enabling businesses to make data-driven decisions and improve operational efficiency.

  5. Fraud Detection
    AI can help detect and prevent fraud by analyzing large volumes of data and identifying patterns that indicate suspicious activities. It can flag potentially fraudulent transactions in real-time, protecting businesses from financial losses.

  6. Provide multilingual support
    AI can assist businesses in translating text and speech in different languages. This can enable businesses to expand their reach to global markets, communicate with international customers, and provide multilingual support in their existing products.

  7. Automation and Optimization
    Generative AI can automate repetitive and time-consuming tasks, allowing employees to focus on higher-value activities. It can optimize supply chain management, resource allocation, and process workflows, leading to improved efficiency and cost savings.

Overall, the application of AI can enable businesses to improve products, enhance customer experiences, streamline operations, supercharge productivity, improve decision-making, drive innovation, and gain a competitive edge in the marketplace.

AI solutions for business is poised to change how companies deliver value to their customers. Across industries, such changes and transformations will lead to the emergence of entirely new business models. Undoubtedly, this makes a strong case for the businesses to adopt AI faster.

About Nitin Bhosekar

Head Analytics, Artificial Intelligence, BI Practice & Executive Vice President

Nitin Bhosekar heads our Analytics, Big Data, BI and DW practice and is the company’s Executive Vice-President as well. Nitin has built a career on gaining business insight from data. He is a hands-on leader in business intelligence, big data & analytics with over 25 plus years of international experience.

Category: Data Analytics, RPA & AI

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