With powerful information management solutions — both on-premise and in the cloud — OpenText drives business transformation in organisations. With its recently released Cloud Edition, OpenText CE 20.4, it aims to facilitate a faster, easier and cost-effective way for customers to reinvent business processes and explore new opportunities. Along with it, they are committed to delivering software as a service to help our customers accelerate business innovation and digital transformation at a scaled-up level.
To further understand how it helps drive enterprises to bring about digital transformation, we got in touch with Isaac Rajkumar, Managing Director, India and Vice President, Engineering at OpenText, where he leads India operations and product development from India.
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What are some of its features offered by Cloud Edition 20.4 over other cloud providers?
The OpenText Cloud provides flexible deployment options with managed service expertise and run-anywhere software, amplified through partnerships with the major public cloud providers. This helps remove barriers to innovation and ease the flow of information across organisations.
One of the key benefits is to be able to empower organisations to connect any business to build adaptive, ethical, and sustainable trading networks and to connect content to digital business to improve user productivity. Some other benefits are delivering an omnichannel personalised experience to customers at scale; enabling developers to build applications and solution extensions quickly and cost-effectively; and providing organisations with the tools they need to keep intellectual property, customer records and sensitive financial information protected.
What are some of the AI and automation solutions provided by the company?
Organisations are looking for ways to ensure certainty in uncertain times. For this, the ability to access information, gain actionable insight and automate processes is more critical than ever. Organisations need to access data and content from many applications, systems, and repositories to gather insights to help optimise operations, reduce risk, and automate processes.
AI and ML algorithms in big data platforms can transform big data and big content into self-service data visualisations for users across the organisation to increase automation, operational efficiencies and maximise revenue.
OpenText Magellan is one such solution that allows organisations to analyse big data made up of structured and unstructured data. It uses a flexible, artificial intelligence, open-source data analytics platform that combines open source machine learning with predictive analytics and self-service analytics.
With OpenText Magellan Text Mining, companies can also analyse and extract data from video, imagery, and audio. It uses powerful algorithms to analyse that content, determine what a given piece of text is about and assess its relevance. It can also identify hate speech and act upon it quickly.
How have your solutions benefited some of the industries? Please provide a few use cases.
Our solutions cater to various industries such as automotive, manufacturing, banking, healthcare, life sciences, legal, public sector, utilities and oil & gas. For instance, Sun TV Network is using OpenText Solutions for SAP to solve its data growth challenges. Another company, Syngene International, needed assistance in adhering to strict audit and compliance regulations, which is common in its industry space, which was provided by OpenText. Tata Power Delhi Distribution relies on OpenText Documentum to connect content with process and automation for greater efficiency, speed, and savings.
How has the pandemic revolutionised cloud usage to ensure business continuity?
At the beginning of 2020, organisations underwent a rapid shift and adopted new ways of working. However, with the global COVID-19 pandemic, it brought about rapid changes to consumer behaviour and new ways of working — all while an increase in cybersecurity threats. Technology is an enabler that makes business possible even under extenuating circumstances, and a big part of succeeding has up-to-date, cloud-based tools to manage your organisation’s content.
Businesses really must switch from a gradual multi-year cloud-first approach to a much more rapid “cloud-now” mindset if they aim to overcome the information sprawl and security challenges faced by all organisations in today’s “new reality”.
The information sprawl that organisations face comes from documents being stored in many different places – shared drives, hard drives, in a public cloud, in an on-premises data centre – and the increasing number of applications in use.
The ongoing pandemic has seen information sprawl become more complex because the information is now also scattered across personal devices, often located way outside the corporate network. Increasingly, organisations are needing to rapidly embrace digital ways of working and doing business – something the cloud enables – to survive, thrive and respond to changing demands and behaviours in the market.
What are some of the steps companies can take to ensure business continuity in the new normal?
COVID-19 has shifted business dynamics to a new equilibrium. Humankind is living in two simultaneous worlds— virtual and physical worlds. As people are migrating to a virtual world, there is an ever-increasing need for us to stay grounded in the physical world.
Companies have to rethink and re-strategise in various areas – economic, societal, technological, individual, environmental, geopolitical and from an industry standpoint too. That’s the only way we can ensure business continuity. At OpenText, we are embracing the same strategy in our operations.
What are some of the trends in analytics and AI that you see emerging in the post COVID world?
With COVID-19 companies had been concerned about how it would impact their businesses, which shifted to how big the impact would be. Various industries have had varying impacts. Customers have changed, their buying habits and the products sold have changed.
To adapt to these changes, companies should rely on their own data rather than relying on best guesses. They should rely on a data-driven strategy to empower their organisation to have early access to reliable conclusions to obtain a better position in a competitive market.
But when you have a big amount of data, this is not an easy task. One of the problems organisations can face is the capacity to manage their data to process these actions quickly and flexibly. In today’s climate, organisations cannot afford to wait for days or even several hours to get an answer. Organisations need systems that can quickly analyse data and answer their questions, and they need to be in a position to draw conclusions and react to them. An organisation’s system should be able to answer questions as they appear, questions that are not predefined, and again, get a fast answer.