Making it Real with Machine Learning

I recently wrote a post on the reality of Digital Transformation on LinkedIn. While the response was great, one of the important pieces of feedback was to make it a bit more real using a business use case.

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Building Lasting Transformation

In my previous blog, I spoke of how transformation is not a revolution, but an evolutionary journey for enterprises. From my observations, I see that while organizations these days are able to …

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How to be Agile with Distributed Teams – Challenges & Strategies

Agile software development has been in the industry for some time now. It has gained immense popularity with its various methodologies like Scrum, XP, TDD, Lean etc. to deliver minimum viable product at a short iteration while keeping changes in client’s necessities on top priority. It was primarily conceptualized for execution by a co-located project …

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The future of payments in the age of data and cryptocurrency

Payments is one of the fastest growing areas in fin-tech and in distributed technology as well. Many scientists, engineers and regulatory bodies are trying to crack the code of more consumer-friendly payments. You can login to a device, provide your information and details, and a whole set of computing machines are able to help you …

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Cloud Computing & Birth of the Sharing Economy

The world has come a long way from owning and controlling resources, to let go a few, ease out a bit, and share things. These days, relinquishing the control and possession of heavy maintenance resources is considered as “Smart”.

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Einstein Vision: How to Build AI-Powered Apps, Fast

Have you ever wondered how to use Salesforce Einstein to derive meaningful insights from your unstructured data, such as images and text data? Explore this example to learn how to integrate Einstein Platform Services into your CRM workflows to build AI-powered apps, fast.

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The Impact of Artificial Intelligence in the Financial Services industry

We have more AI around us than we even know! Start-ups today, have brought in new applications and innovations in every sector. Looking at the investment figures, it says AI can contribute up to $15.7 trillion to the global economy by 2030 – healthcare, automotive & financial services being the top most applied sectors according …

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