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.
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 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.
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.
We had family visiting and over the weekend we took them over to the Seattle Center. Our kids wanted to visit the Marvel comics exhibition in the MoPOP museum. After the museum tour we decided to take the kids out to the Playground right next door. What I saw and observed there was an interesting phenomenon at play and made me think about leadership development and skills. Few of the things that were taking place in the play area also apply to leadership principles and development within a team, organization or a company. Read More
In this CIO primer I am going to introduce IoT, starting from the basics, discussing the key questions and considerations for building an IoT strategy, highlighting top IoT cloud providers and then concentrating on the Azure offerings from Microsoft. IoT is one of the core technologies along with Cognitive Computing and Machine Learning which makes the core of many Digital Transformation initiatives going on in many enterprises around the globe. If you are interested in knowing how Cloud Computing and Digital transformation are interconnected then check out my other blog post about how Cloud computing is helping the digital transformation journey of many companies. Read More
Two essential ingredients of any Digital Transformation strategy must be Innovation and Automation. Both of these will help you move closer to the digitization of manual processes and tasks within your company. For majority of the digital transformation initiatives Cloud Computing will play a key role as an enabler and a catalyst. Numerous Cloud services from multiple providers are helping companies to automate business processes and manual tasks along with enabling them to run experiments to try and test new ideas before making decisions to scale these ideas to production systems.
Although there are various qualities a leader should have, the two that I hold very near and dear to my heart are Compassion and Humility. Every time I think of compassion I am reminded of Teddy Roosevelt’s (26th president of the United States of America) quotation about Care: “People don’t care how much you know until they know how much you care”. These words have become the guiding light for me by which I conduct myself day in and day out. Compassion and humility are those key pillars of your leadership which will help you build really close and long lasting personal relationships in your professional environment. Compassion is when you show genuine care for others. When you conduct yourself with compassion, you will have people naturally attracted to you and want to work with or for you. Humility on the other hand will help you with people sharing ideas and suggestions openly to improve a product, service, business process or whatever you are working on. This is so because humble people are open to listening and willing to learn from others.
This last summer we wrapped up a very intense and fast paced project I was leading from the beginning of the year. It taught me a few things along with reinforcing some of the project management best practices I have picked up in the last few years in managing other projects. This last one was a global project with teams here in US and the development team in India. What follows are some of the project management essentials I followed and were key to the successful completion of the project.
As you move your systems and resources to the Cloud, your internal IT support model will also evolve. Most of the support work which used to be done by your support personnel such as accessing the infrastructure, servers, and applications in the on-premise data centers will now be performed by The Cloud provider’s support and operational staff in their data centers. This is because as you setup servers, virtual machine and applications to the Cloud on the provider’s infrastructure it becomes their responsibility to manage and maintain these servers and associated resources.
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