DataPlatform

the first area is every digital business needs to be always on and always fast and data is essential to this

data mobility and the ability to move compute and functions to the data without multiple copies, silos and bifurcation is becoming a real challenge at scale for my customers

Digital business is creating need for data to be persisted, secured, and optimized in place at a wider range of mobile, embedded, and other edge nodes.

This question teases out the #hybridcloud challenges of making data horizontally scalable for a particular workload

data is the key to enable intelligence so data management becomes paramount and even more strategic in the enterprise

Different use cases require different deployment and access models. Data management needs to have the agility to keep up with all of them. Mobility between these disparate models enhances the requirement

a digitial business is also creating lots and lots of data and AI/ML become paramount to unlocking hidden insight for uncovering better customer experiences and new revenue streams

data management can't simply be about storing and protecting it, it's gotta be about getting value from it, new business models, breakthrough innovation

being DATA driven is one of the keys of #digitaltransformation - IT needs to work closely with the business and allow data to be turned into insights and even new opportunities without compromising security

agility is another area that customers continue to reinforce to us. A digital business needs the agility of cloud, and it's important to have that both on-premises and in the public cloud

Included in data management, is being able to quickly analyze data and generate insights regardless of it lives on the edge, the cloud or on prem

And, as market changes accelerate, just keeping up!

Ultimately, intelligent storage is about offering relevancy to the business -- whether to an app owner, a VM admin, a cloud admin, storage admin, etc..

True -- it is a balance which depends on many factors .. scale, volume, lifecycle, etc .. It is for this reason our Intelligent Data Platform spans our portfolio, offering with ever evolving capability with our machine learning from the install base.

@ChrisTinkerDT Well said...

there is a massive data storm coming towards every organization. Uncovering hidden insights from this data becomes important for driving a competitive advantage. AI/ML are key technologies in this journey.

intelligence around data copies where and how it is placed is crucial. An average production database makes 8 to 10 copies

our customers are seeking a Data Lake 2.0 strategy

Many enterprises are building hybrid-cloud data lakes to handle the exploding compute, storage, and I/O requirements for the AI/ML pipelines that are bursting with huge data volumes.

Copy data management is crucial to taming data growth. Taming data growth means understanding value of data and placing data at the right location for the right amount of time.

quick plug for Wikibon's Hybrid Cloud Taxonomy - data is of course a big piece of the discussion https://wikibon.com/hybrid-cloud-taxonomy/

@patrick_osborne What are the issues with their Data Lake 1.0 strategies that they're addressing as they seek 2.0 alternatives?

Based upon the many conversations across all our event and industry coverage the #1 thing that I hear is "don't just put data into a data lake".. create abstractions to get real time insights with software and enable it to workloads/apps

@stu David Floyer nailed that #hybrid analysis. He's ahead of all the research out there

The first Data Lakes were very batch and capacity oriented. Now customers are asking about efficiency, resiliency, and distributed and disconnected operations

We also see customers and applicaitons quickly moving to streaming and realtime decisions, especially when it comes to AI/ML data needs

yes excited about the conversation coming up

I'm excited to be on this awesome thread

@storagesandeep Great to have you here! Join us now if you're not on the #CrowdChat

any thread with @furrier is by default awesome

. @CalvinZito Great to see the storage innovation continue at HPE and @sreekanti getting promoted to SVP and CTO

the HPE storage team has always been very innovative

I'm wearing the polo from Discover years ago with my Twitter handle on the back and HP logo on the sleeve 🙂

@stu that's pretty cool

@furrier I think the leadership we have over the last year has made a huge difference. The mojo is definitely here!

@stu I gave my original "HPStorageGuy" shirt that I made with an iron to Craig Nunes when I bumped into him at VMworld a few years ago.

it's because you guys know how to do "community"

This is a great video on what we are doing for AI/ML workloads https://www.youtube.com/watch?v=uTq_06mtjUU

A great white paper which highlights actual products -- https://www.hpe.com/us/en/newsroom/blog-post/2019/...

Great blog post. Thanks for sharing! #dataplatform

Hey Gary - I do a lot of videos I call "Chalk Talks" that give short 5 minute overviews of our portfolio. Here's a link to a playlist of all my videos (also demos and other videos). https://www.youtube.com/playlist?list=PL4B2F1EE84D...

Calvin's "Chalk Talks" are a must watch. Great insight into the HPE portfolio and how each solution fits within a customer's strategy.

yes! Calvin nails them everytime!

I love the intelligence positioning but every other suppliers are trying to say the same thing. What's the big differentiation from @HPE_Storage

Great question. It starts w/3 things: Years of collecting data from every corner of the data center, Data is collected & compared from multiple platforms--meaning different workloads/use cases, & years of understanding how to leverage that Data into the actual product (1 of 2)

@furrier Yea any vendor can talk about AI. But differentiation in AI is all about experience. Would you trust a self-driving car with 10 miles or one with a 100 million? HPE InfoSight is the AI with 100 million miles.

HPE has been collecting telemetry data from platforms such as Aruba, 3PAR, Nimble, etc for years. When it comes to intelligence Data is king & if some is good, more is better! Different types of data, different usage patterns & making it actionable over time is the real key

And as we compare that to the industry as a whole, HPE simply has a massive head start. It's not exclusive BUT it is unique to companies that have the type of Infrastructure experience that only HPE has

Hello Gary. Another place you can go is Brighttalk.com and search under HPE Storage. You will find several HPE storage presentations about HPE storage products that we have recorded.

Good resource - thanks Ryan!