Digital Transformation and Cloud Transformation are phrases that I hear bandied around at nearly every large organization that I currently doing consulting work for.
Yet, in so many cases, I can't see the organization achieving the changes required. This is for two core reasons:
- The first is that the culture within the organizations is a major hurdle. There just isn't enough flexibility to think outside the box about alternative ways to work.
- Worse (and probably more concerning), I see these companies taking advice on how to make these transformations from companies who don't themselves "get it".
An organization that is cloud-antagonistic internally, and stuck in an endless IT management quagmire, isn't likely to make a good cloud transformation, and they're certainly not going to be a successful partner to be able to help you to make a successful cloud migration or to implement a cloud transformation within your company.
An organization that doesn't use business intelligence (BI) or analytics internally isn't going to be able to help you make that transition either.
If the organization is claiming to be proficient in an area of technology, ask them about the use that they are making themselves of those same technologies. As a simple example, ask them about their internal analytics that they can see on their own phones.
To be any good at any of these areas of technology, companies need to live and breathe them daily. If they don't, find someone to help you who does.
In recent months, I’ve been brushing up my R skills. I’ve had a few areas of interest in this:
* R in Azure Machine Learning
* R in relation to Power BI and general analytics
* R embedded (somewhat) in SQL Server 2016
As a client tool, I’ve been using RStudio. It’s been good and very simple but it’s a completely separate environment. So I was excited when I saw there was to be a preview of new R tooling for Visual Studio.
I’ve been using a pre-release version of R Tools for Visual Studio for a short while but I’ve already come to quite like it. It’s great to have this embedded directly within Visual Studio. I can do everything that I used to do in RStudio but really like the level of Intellisense, etc. that I pick up when I’m working in R Tools for Visual Studio.
So today I was pleased to see the announcement that these tools have gone public. You’ll find more info here in today’s post from Shahrokh Mortazavi in the Azure Machine Learning blog: https://blogs.technet.microsoft.com/machinelearning/2016/03/09/announcing-r-tools-for-visual-studio-2/
Hi Folks, we’ve been working hard on a new Azure Machine Learning course.
Come and spend a solid day finding out why Azure Machine Learning should be part of your arsenal.
Our first Melbourne offering of Azure Machine Learning Core Skills is 31st July. I’d love to see you there:
Have you looked into Azure Machine Learning as yet?
If not, this might help. It’s a free eBook on getting started with it. Click the book to follow the link: