5 key reasons why Enterprise Digital Transformation Initiatives fail
In this article I discuss some key factors which can play into Digital Transformation initiative failures in an Enterprise. I have summarized five key areas of concern for you to consider before starting your Digital Transformation journey. The five key areas discuss the basics, initiative scope, securing an external vendor, utilizing existing technologies and project management excellence. Read More…
Innovation and Experimentation essential for Digital Transformation
In this article I discuss innovation and experimentation as an important part of any Digital Transformation. I will provide high level guidelines on building Innovation and Experimentation framework in your organization and then offer recommendations on leading successful digital transformation experiments. Read More…
Digital Transformation Challenges
According to a recent survey of directors, CEOs, and senior executives by the Wall Street Journal Digital Transformation risk is their #1 concern in 2019. Yet 70% of all Digital Transformation initiatives do not reach their goals. $1.3 trillion was spent last year on Digital Transformation and it is estimated that $900 billion went to waste. So, the question at hand is why do some transformation efforts succeed and others fail? Let’s try to analyze and understand some key factors which lead to Digital Transformation failures and how to avoid them. Read More…
The ‘How’ of Digital Transformation
In this article I share my thoughts on the ‘How’ part of Digital Transformation including Organizational culture, using proper technologies, harnessing the Cloud, adopting accelerated innovation & experimentation, making right decisions for your people, technology, & processes, utilizing data and analytics to assess progress and calculating the ROI. Read More…
Digital Transformation demystified
“Digital Transformation” has been the industry buzzword for almost a couple of years now. According to the IDC report it is predicted worldwide spending on the technologies and services that enable the digital transformation of business practices, products, and organizations will reach $1.97T in 2022. Read More…
Cloud industry’s Top Trends of 2019
According to the latest Gartner report prediction the public Cloud services market will grow from $182.4B in 2018 to $214.3B and then topping to $331.2B in 2022. This prediction and trend show the momentum that Cloud Computing has picked up in the last few years and how both Enterprise and SMB market sectors equally are moving to the Cloud. Cloud application services (SaaS) is still leading the pack as the most consumed service since this it is used across the spectrum of customers from small, mid-sized to large enterprises. Read More …
The Cloud of Tomorrow
In mid-November this year I was part of a panel of global Cloud experts and engaged in a Tweet chat to discuss the future of the Cloud. In this the Cloud of Tomorrow tweet chat session we discussed the emerging technologies within the Cloud Computing ecosystem and how the Cloud is evolving from just being a place for setting up simple Web apps and infrastructure to a destination to enable enterprise grade and business critical scenarios including Hybrid Cloud, Machine Learning (ML), Artificial Intelligence (AI), IoT and Blockchain. The tweet chat was sponsored by HCL technologies and was hosted via their CIO Straight Talk Twitter handle.
Applications of Artificial Intelligence and Machine Learning
In today’s world of Cloud Computing creating Artificial Intelligence (AI) and Machine Learning (ML)based applications is becoming a reality for organizations of all sizes. Cloud providers such as Amazon, Microsoft, Google, IBM and Oracle et. al. are providing infrastructure, Cloud-based services and in some cases even consulting services to help companies to utilize Artificial Intelligence frameworks, Machine Learning, Big Data to build smart solutions which keep on getting better with continuous use. In this post I am going to review the applications of Artificial Intelligence and Machine Learning and factors involved in getting started with these in your organization.
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning recently have become the buzzwords in today’s IT and the Cloud Computing era. It has now become possible even for smaller size companies to dabble in this field due to the advent in technology and availability of resources through the Cloud computing infrastructure offered by providers such as Amazon, Microsoft and Google to name a few.
What is Cloud Computing?
This blog post will answer the very basic question of what is Cloud Computing? This infographic post defines and explains Cloud Computing along with its uses and benefits. Along with that is also details the top three most used services in Cloud Computing including Software as a Service (SaaS), Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). For more information on these three popular services check out my other blog post too. Three deployments models for Cloud services including Private Cloud, Public Cloud and Hybrid Cloud are also detailed.
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