Skip to main content

Do we know the enterprise IT challenges...???

Last night during the dinner chat with one of my old school pal, we stumbled on the topic of current issues that enterprises are stuck with. It went on almost for 30 mins. But what made it less interesting to me is that whole discussion was around cost cutting, our sourcing, rationalization etc., It is really boring, we are still taking about the tip of iceberg. But the question is due we really know what the real challenges are. I am not talking about a laundry list with 30/40/50 items. I am looking why we really have those items? (whatever the count is).

I could not get this out of mind and started listing, order, consolidating, prioritizing those items to make sure I am completely confident that as a consultant I am doubly sure about them.

Of course, it is debatable. But this is what I think are core problem and rest of list is the symptoms.

1. Dynamic market conditions are forcing business to adopt rapidly while IT is able to respond to this
2. Day by day IT is becoming expensive due to the mass it has put up over the years. Organization are barely left with budgets to carry the additional mass or sometime dead weight which we are not able to cut off
3. Application developments costs are not realized due to ... immature models, buggy and sloppy apps created, high life cycle costs, limited use adaptation, ... overall all these the time to market issue
4. Data is growing, but no information within the sight. Not sure how to store, analyze, present the data. Even the simplest how to make sense of it?

Like to offer any help in refining / redefining my thoughts. You are most welcome.

Labels:

Comments

Post a Comment

Popular posts from this blog

Just Buzz... Where is AI?

Speaking to Recode’s Kara Swisher and MSNBC’s Ari Melber, Pichai said AI is “one of the most important things that humanity is working on. It’s more profound than, I don’t know, electricity or fire,” adding that people learned to harness fire for the benefits of humanity, but also needed to overcome its downsides, too. Pichai also said that AI could be used to help solve climate change issues, or to cure cancer. We are seeing some exciting things in the industry, Samsung’s massive 8K TVs apparently use AI to upscale lower resolution images for the big screen. Sony has created a new version of the Aibo robot dog, which this time promises more artificial intelligence. Travelmate’s robot suitcase will use AI to drive around and follow its owner wherever they go.  Kohler has invented Numi, a toilet that has Amazon’s Alexa voice assistant built in etc., But despite all this, it does leave me wondering: is artificial intelligence really what we should be calling this revolution?...
1 comment
Read more

Building Hanlon Micro-Kernel (MK)

I am posting a quick cookbook on creating hanlon microkernel for easy reference. Detailed information on how the microkernel organized and build along with details on each of the command listed here can be found on git hanlon microkernel wiki   1. Install dependencies sudo apt-get install squashfs-tools -y sudo apt-get install -y fakeroot sudo apt-get install p7zip-full -y sudo apt-get install curl -y   2. Install Ruby (I prefer using rvm) \curl -sSL https://get.rvm.io | bash -s stable --ruby source /home/user/.rvm/scripts/rvm   3. Clone hanlon micro-kernel project into your working directory (my directory ~/wspace/hanlon/hanlon-mk) cd mkdir wspace mkdir hanlon git clone hanlon-mk cd hanlon-mk   4. Clone hanlon micro-kernel project into your working directory (my directory ~/wspace/hanlon/hanlon-mk) cd mkdir wspace mkdir hanlon git clone hanlon-mk   5. Create bundle file: This would create a temporary tar file containing all necessary ...
Post a Comment
Read more

AI - Intelligence is getting Hybrid

Cooperative learning among networks will lead to hybrid intelligence Neural networks will evolve from monolithic to distributed co-operative/competitive models. Coupled with evolving neural-fuzzy and generic fuzzy algorithms — reinforced learning models that are more adaptive to the environment and context (i.e., too noisy and time-varying systems) — these neural networks will evolve into hybrid intelligent systems that integrate different learning and adaptation techniques to overcome individual limitations
Post a Comment
Read more