Coming With Our Largest R&D Centre In Pune: DDN

DDN, Data Direct Network, the Global Leader in Artificial Intelligence and multi-cloud data management solutions, opens its largest R&D facility centre in Pune, India. Their India operations will now have a larger office space as part of their expansion. DDN inaugurated its newly opened office in Baner Pune, to accommodate its expanding client base. With […]

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Edited By: Sonia Dham
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DDN, Data Direct Network, the Global Leader in Artificial Intelligence and multi-cloud data management solutions, opens its largest R&D facility centre in Pune, India. Their India operations will now have a larger office space as part of their expansion.

DDN inaugurated its newly opened office in Baner Pune, to accommodate its expanding client base. With its presence in both Pune and Bengaluru, the company will significantly increase its headcount by the end of 2023. The company currently has 25 percent of its employee base worldwide.

DDN started developing storage solutions under the ‘Make in India’ programme in year 2021. Now, expanding its workforce in the research, IT, product development and engineering divisions. 

Atul Vidwansa, General Manager for India & S.E. Asia, DDN said that “India is a strategically significant market for DDN, and we have witnessed tremendous demand for our data storage solutions, despite the pandemic. We plan to increase our workforce in India by 50 percent over the next few years to support ‘Make in India’ and the development of next-generation storage solutions.”

The US based multinational company DDN is popular in India among High Performance Computing and Artificial Intelligence community with multi-petabyte storage solutions deployed at Indian Institute of Tropical Meteorology & National Centre for Medium-range forecasting under the Ministry of Earth Sciences, ONGC, ISRO.

Who are DDN?

DDN is the largest private data storage company in the world. It is also the leading provider of intelligent technology and infrastructure solutions for enterprise at scale, AI and analytics, HPC, government, and academia customers. The company provides AI, data management software and hardware solutions, and unified analytics frameworks through its DDN and Tintri divisions to solve complex business challenges for data-intensive, global organisations.

DDN offers enterprise customers the most flexible, efficient, and dependable data storage solutions for on-premises and multi-cloud environments of any size. They have established themselves as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers over the last two decades, including many of the world’s leading financial services firms, life science organisations, manufacturing and energy companies, research facilities, and universities.

What is Artificial Intelligence (AI)?

The process is a simulation of human intelligence by machines, particularly computer systems, is known as Artificial Intelligence. Expert systems, natural language processing, speech recognition, and machine vision are some examples of AI.

How does AI work?

AI requires specialized hardware and software, in order to write and train machine learning algorithms. No programming language is synonymous with AI, but a few, including Python, Java are very famous. This language works on three cognitive skills: learning, reasoning and self-correction.

Learning Process:

The rules, or algorithms, provide the step-by-step instructions for completing the specific task.

Reasoning Process:

The AI programming focuses on choosing the right algorithms to ensure the desired outcome of the task.

Self-Correction Process:

AI ensures that algorithms provide the best possible solution or outcome.

Why is AI important for us?

AI is significant as it can provide enterprises with previously unknown insights into their operations and, in some cases, can perform tasks better than humans. AI tools often complete jobs quickly and with few errors, especially when it comes to repetitive, detail-oriented tasks like analysing large number of data.