As ML becomes more pervasive in the enterprise, Oracle is working on a holistic strategy with AI/ML capabilities embedded in cloud portfolio, helping customers realize value with a increased focus on improve their agility, customer-centricity and innovation cycles.
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“We’re empowering Indian CIOs to upgrade to the technology of tomorrow, today – so that they can singularly focus on delivering faster, better innovations to their end consumers.”
Premalakshmi R
Head – Cloud Platform business
Oracle India
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Why do enterprises need a cloud foundation to leverage machine learning better?
In the pre-cloud days, deploying advanced machine learning for real-time insights and decision making was a challenge because of the lack of two things: abundant compute power to process the sheer volume of data, and auto scaling IT infrastructure, including provisioning for real-time data capture and analytics to make accurate decisions. With cloud, these and many other challenges are a thing of the past. In the digital economy, the power of a strong cloud foundation, coupled with advanced machine learning, can lead to unprecedented productivity improvements and faster innovation at scale.
How can ML enable businesses to fuel innovation and make smarter decisions?
Today, size of a company doesn’t matter as much as before, because cloud is a great equalizer. A large enterprise, an SME and a startup all have access to the same modern, enterprise-grade technology. Speed of technology deployment has become a key factor for businesses to retain or grow their customer base and that’s where AI and ML come in.
Businesses can automate most mundane or complicated tasks to achieve a level of accuracy and efficiency beyond the capabilities of human workers. And by doing this, they can free up the IT workforce from doing mundane tasks, thereby empowering them to become knowledge workers in true sense allowing them with more time for creative innovation and higher value work for the business.
What’s the AI and ML landscape in Indian businesses today?
Indian businesses are embracing faster than most of their APAC peers. As ML becomes more pervasive in the enterprise, businesses are trying to improve their agility, customer-centricity and innovation cycles. AI enabled chatbots and advanced analytics for real-time decision making are two key areas where Indian businesses are deploying extensively.
Though we’ve barely scratched the surface for AI/ML adoption in India, progressive enterprises – across industry verticals – are setting an example for adoption in their sectors. ‘Bajaj Paddy’, the bot that pops up on the Bajaj Electricals’ website, is powered by Oracle. The company is using the chatbot to address customer queries faster, better. Bajaj Electricals is now thinking of extending the chatbot usage for employee self-service and other internal purposes as well. A concerted push thanks to and by NITI Aayog to advance AI/ML adoption in India is expected to increase uptake among Indian businesses in the coming months.
What’s Oracle’s AI play?
At Oracle, we have a holistic strategy making it easier for enterprises to realize value. Unlike most companies that offer capabilities as add-ons, we have embedded AI/ML in our entire cloud portfolio. We’re empowering Indian organizations to upgrade to the technology of tomorrow, today so that our customers can now singularly focus on delivering faster, better innovations to their end consumers.
CIOs can help drive better business outcomes using our AI-powered cloud applications and leveraging the pre-built intelligent features. For data scientists and application developers, our ready-to-build AI platform offers a range of cloud services to easily build, train, deploy as well as manage AI-powered solutions.
Our flagship solution – the Oracle Autonomous Database, a self-driving, self-securing and self-repairing database redefines data management and takes the complexity out of running a business-critical database to enable unprecedented availability, high performance and security at a significantly lower cost.
What are Indian CIOs doing to advance AI/ML adoption in their enterprise?
AI/ML is one of the key things in every customer discussion I have participated in with Indian CIOs of late. Most of our customers are crafting holistic strategies fully aligned to their organization’s business priorities. This is extremely important because piece-meal approaches to AI often lead to failure in the long-term and disillusioned teams. The first step to AI-enabling an enterprise is to get more data-driven, and understanding that it is an ongoing journey.
