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Organisations Will Embrace Open Source To Avoid Lock-In & Boost Interoperability: Subram Natarajan, IBM

2018 was a landmark year for cloud business in India, with enterprises moving away from the “one-cloud-fits-all approach” and moving towards a multi-cloud or hybrid approach. Most companies were seen choosing multiple cloud providers and clouds such as public, private,…

Exploring the Analytics ecosystem within IBM with Arvind Shetty, Director at IBM Analytics

Arvind Shetty brings with him over three decades of IT industry experience, and has held diverse set of roles at IBM. Arvind joined IBM in 2003, and his assignments have included leadership of the IBM Java Technology Center, the ISL…

Intel India will transform the data center market with the launch of its new Xeon Scalable Processors

Businesses can now gain unparalleled performance to handle compute-hungry tasks including real-time analytics, virtualized infrastructure, and high performance computing. This will be possible with Intel’s latest offering in the data center market, called Xeon Scalable processors. Prakash Mallya, Managing Director,…

Why should India have a more strong approach towards adopting SMAC?

Social media, mobile, analytics, and cloud (SMAC) convergence turned out to be one of the most impactful trends for both consumer and enterprises across industry verticals. SMAC encourages an organization to build and deploy integrated solutions as opposed to the…

Microsoft CEO Satya Nadella rolls out 10 rules that will define Artificial Intelligence

Of late, Microsoft has been flexing its AI muscle with big announcements such as key acquisitions in AI space, (two most recent being AI startups Agolo and Bonsai) and snapping up talent. Is the AI strategy driven by Microsoft CEO…

How different is Cognitive Computing from Artificial Intelligence?

As the scope and reach of Artificial Intelligence and the related fields have increased, there has been an indecisive understanding on the technological jargons that AI encompasses under its banner. Machine learning, deep learning, text mining, speech recognition, neural networks,…

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