ILEADIT

#IBMz for sure! 😉

Quantum technologies?

A1: DevOps and automation for rapid app delivery; AI and machine learning for business insight; all supported by a hybrid multi-cloud environment https://www.crowdchat.net/s/65rwv

A1: obviously biased and would say IBM Systems hardware! But seriously cloud native, subscription charged and built for open source!

future & innovation.

Modern hardware that can meet today’s challenges and that allows innovation in every line of business.

A1: Also polyglot persistence with multiple database systems (relational and NoSQL) and a data lake for big data analytics

@craigmullins agree - AI is certainly at the core of 'modern infrastructure'

Speedy data insights and keeping the customer experience top of mind

Storage that is build with AI initiatives in mind.

@juanpetersenv this is a good one!

In addition to Steven's answer, enterprise-wide capabilities built on open platforms. In the past we have had too many silos built around organizations, products, use-cases, channels, partners, and vendors.

To have modern infrastructure means to have cutting edge technology, focused on both reliability and advancements in things like AI. #ileadit

To me it's multicloud and data that is horizontally addressable and full blown API based model with microservices and containers

@juanpetersenv Quantum is more future than modern, isn't it?

@StevenDickens3 couldn't agree more!

@IBMZ where is the vote x100 button!

@furrier agree multi-cloud and hybrid, cloud is not a place more a technology mindset

Leverage - Leverage of cloud environment. Leverage of big data. Leverage of AI. All to provide a platform for efficiency and innovation.

(edited)

Another twist on this would be an integrated approach to people, processes and technology

@furrier multicloud for the win! ☁️

@craigmullins Absolutely. Who has quantum computers in all of their data centers? ;)

@StevenDickens3 that's the spirit!

agile cloud infra that adapts, flexes, and grows as your client and markets and needs do

A2: ability to drive real-time analytics for an ocean of rapidly changing data - how do you manage around ETL?

From what I hear is the big challenge for future is active active replication from data that is working across clouds to avoid lock in

Confusion due to the large quantity of technology pieces that are needed to build and manage a modern IT infrastructure...

And It Is not just tech that causes obstacles; It always boils down to an Integrated combination of people, processes and technology

@furrier I'd like to have that problem, but that's a different story.

@furrier active/active is the future... getting to 0 for RPO/RTO is the dream

We've probably all heard the 80-20 rule. 80% of a data scientists time is spent just trying to locate the data they've like to work with. Only 20% of the time is really spent running the models they've been hired to do. Metadata management is a huge problem.

Metadata management Is Imperative to understand the vast amount of data that orgs must keep and manage today - how can u manage it if u don't know what it is?

Not just infrastructure, per se... But the biggest hurdle is overcoming the inertia of existing processes and infrastructure investments.

Yes, Jacklyn, that is a great point!

How do you overcome that "inertia" @PaulKrappman?

That's true @StevenDickens3, the ability to capture insights while they’re fresh is of great importance.

@craigmullins It's awesome to now have Spectrum Discover as part of our portfolio because that was really the missing piece of a solution set that touches every phase of the AI pipeline.

@furrier True John - do you have an answer?

There is one company that I found that has the solution WanDisco but they built the technology for datacenter disaster recover but it's perfect for data in cloud and portability

- Typically, it's a "show me" issue. Start small, usually using big data and analytic tools that are readily available in the cloud. Then the argument can be made for a bigger investment.

Yes, Spectrum Discover is a great tool for managing and understanding large amounts of #data

how to tap into it to gain insight that lets you disrupt and innovate but at the same time, keeping it secure in a multi-cloud world?

multi-cloud and hybrid - how do I move my workload on or off premises

Our clients want "future-proof" infrastructure that can scale with new workload demands.

The high level priority of most every org I work with Is growth, so IT's priority is to support that

Security!

scale is vital for many, how do I ensure we can scale to unknown requirements...

A5 There are too many to list. The main ones are transforming the function from being focused on specific solutions to enterprise-wide capabilities. We talk about platforms a lot. The move from waterfall to agile is on its way so that is also high on priority.

@IBMZ So true! Security, security, security!

Taking it down a level or two, digital transformation is still a priority among my clients

Intelligent automation with AI and ML seems to be a nascent but Increasing priority

We're seconding @IBMZ on this one, security!

its all about the app! how they can use it and fast!

And yes, @IBMZ and @IBMLinuxONE #security must always be a top of mind priority

@StevenDickens3 So true! IT solutions must be able to scale with the growth of data.

Mainframe customer have a leg up on managing security with pervasive encryption on the IBM Z

Data security is still the #1 business priority for the next 12 months. There's a great Forrester report on this: https://reprints.forrester.com/#/assets/2/73/RES14...

A secure data management platform with governance - GDPR and also the Brexit nightmare has attributed to that #ileadit

https://www.crowdchat.net/s/45s3f