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.
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.
I just got done with a very intense project I was leading from the beginning of the year to early April. 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. I was leading a project lead to revamp and rebuild an online community website. This was global project with teams here in US and a 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.
Cloud Computing is an enabler for all things which we knew how to do but we didn’t have the infrastructure or the computing resources to accomplish. With multiple Cloud providers out there including Amazon, Microsoft and Google with their global data centers and massive compute power, it is now possible for companies of all sizes from small to large enterprises to tap into that compute capacity and execute their Cloud strategy to enable their business scenarios. Certain key technologies which have gained prominence and become the industry’s buzz words lately include Cognitive Computing, Machine Learning (ML), Artificial Intelligence (AI) and Internet of Things (IoT). These core technologies are playing a big part in helping many organizations in their Digital Transformation journey.
Cloud costs and spend is going up for SMB and Enterprise customers across the board as companies initiate experiments in the Cloud to moving from experimentation to setting up and migrating production workloads. Along with this increase in Cloud investment, proportionately the Cloud spend waste is also going up. In this post we are going to outline some common Cloud utilization scenarios which may lead to cloud spend waste. Along with that we will also offer guidance and recommend some tools to optimize Cloud costs.
Alibaba Cloud is an Alibaba Group company, headquartered in Hangzhou China and is the top provider of Cloud computing services in China. Alibaba launched its cloud business back in 2009, just three years after Amazon unveiled AWS. Alibaba Cloud or “AliYun” made an investment of $1B in 2015 to get more focused in competing with the big Cloud providers. The ROI on that investment is showing up now as it is being ranked in the top five or six top global cloud providers list according to two separate industry reports. At home in China, it is the #1 cloud provider with over 40% market share along with Microsoft and AWS are which are in the top five list. Recently Alibaba Cloud made a big splash in the media with their recent cloud offerings to non-Chinese customers in Europe. Read More
Most of the cloud strategy conversations tend to pivot around costs savings but that should not be the only factor you should consider when formulating your cloud strategy. Some key topics to include in your strategy discussion are security, resources required to configure and manage cloud services, monitoring and managing costs, governance and compliance. Let’s take on these key factors one by one to understand them a bit more in detail.
As you build your cloud enterprise strategy to start using the cloud or to migrate some of your workloads to the cloud, you need to consider multi-cloud as a core pillar of the of your Cloud strategy discussions. Let’s try to understand multi-cloud first. Multi-cloud by definition is to have multiple Cloud providers providing various Cloud services to you.
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