#think2019 - CrowdChat

Learn from Cloud & AI Experts

IBM experts discuss a faster, more secure journey to cloud, how to accelerate your path to AI, and what you can learn at the upcoming Think 2019 event.

#think2019 @ericminick @ralphfinos @franklybriana @plburris @rreinitz @lawtonbill @jim_farrow @ramvennam @lori_pb @jeff_brent @bobspory @ankita03pandey @pwmccaffrey @wikibon @nottycode

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How is your enterprise modernizing your data and integration architecture to accommodate a growing mix of clouds, SaaS, and traditional data sources on and off premises? https://www.crowdchat.net/s/45sdy

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Peter McCaffrey

by evolving to an "Agile Integration Architecture" that rethinks people, process, and technology. Learn more : https://www.ibm.com/cloud/integration

IBM Cloud Integration
Learn how IBM Cloud Integration — including cloud integration services, hybrid cloud integration and cloud data integration — help you access and use critical data with API, application, message and data integration.

The key is implementing an IA architecture that enables moving code to distributed data.

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guidance available modernizing data & data as a differentiator https://www.ibm.com/cloud/garage/architectures/dat...

https://www.ibm.com/cloud/garage/architectures/dataAnalyticsArchitecture

I'm seeing many companies moving their ECM content into the public cloud as part of their modernization strategy. Check out the Business Automation Content Services on Cloud details in the Digital Business Automation sessions at Think.

There's another factor to consider here, the scores of real-time transactional government tax mandates that require the digitaltransformation of core financial solutions to keep up with the digitization of tax. Hence the first MarketScape on the topic released this week

...MarketScape on the topic this week.

Anantha Narasimhan0

Here's a nice short video talking about the value of Governed Data Lake, in case you are interested (NOT a commercial) - https://www.youtube.com/watch?v=QvLm_2AN7aw

What is the value of a governed data lake?
https://ibm.co/2obT3yB Connect more data from more sources with a data lake. A governed data lake can analyze structured and unstructured data to unlock mean...

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Integrated analytics platforms are a must have for mature and complex organizations, but not a necessity for #datascience and #analytics teams that are development focused

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here is a recent Forrester wave which goes into the value prop of an integrated platform: https://www.ibm.com/account/reg/us-en/signup?formi...

thanks for the link. just to clarify, I wasn't saying there isn't value in analytics platforms. I'm just pointing out that not every team will find it valuable.

One can get started using Excel or some open source tooling.. but once you scale in the organization or want to foster collaboration and operationalize a process or model, it becomes tricky.

True, but that's only the case if you have a user of a model that's created. the development team creates and improves these models, the deployment is a separate process in an enterprise setting and often implemented by a different team.

Carlo Appugliese1

Here is a quick video where I talk a little about how we work with clients to help them with their AI journey.
https://www.youtube.com/watch?v=CMhEMiJGV58&fe...

Data Science Elite Team feat. Carlo Appugliese
Looking to win with AI but lacking the data science skills and expertise? Learn from IBM AI expert Carlo Appugliese about what IBM's Data Science Elite Team ...

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Is anyone here concerned about governance of AI ? and ensuring that decisions made by machines are accountable and managed appropriately ?

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Very much so. Questions of AI agency are not being addressed at all well by the industry. https://siliconangle.com/2018/10/23/artificial-age...

Artificial agency: the 'action' side of artificial intelligence - SiliconANGLE
Artificial agency: the 'action' side of artificial intelligence - SiliconANGLE

Anantha Narasimhan

AI, at the outset sounds scary, right? When we talk to customers, they are worried about losing sight of the "why" and feel that AI will build black boxes..

Anantha Narasimhan

Absolutely critical that Data quality standards are set, Data governance is established and trust is infused in AI models so people can understand any bias and can explain WHY insights/decisions were made

How are you increasing workload and consumption flexibility in your analytics systems? https://www.crowdchat.net/s/55rej

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In order to achieve this, you truly have to trust your data to increase the consumption. Having clarity of data lineage is critical..Do you agree?

That's a tough one as it is more than just a question of technology, but also requires a culture that facilitates rapid changes, empowers users and democratizes access to data and analytics.

Here's what Hemanth Manda, IBM and James Wade, Guidewell had to say recently on theCUBE about cloud providing flexibility, agility, and workload acceleration in the analytics ecosystem: IBM Thought Leader Hemanth Manda: Blending Agility, Acceleration, and Ecosystem to Catalyze Customer Value.

Hemanth Manda, IBM & James Wade, Guidewell | Change the Game: Winning With AI 2018
"You can't go after a high-value opportunity alone anymore.

Let me list a few characteristics on top of my head: Cloud native design properties on the engine or technology to scale independently according to workloads needs. Be elastic, not just scale out, but back down.

From a #datascience perspective, you can increase the workload and consumption flexibility of any analytics system by improving your code to run your models more efficiently.

Minimize dependencies and complex data architectures where one needs to join different data sets, juggling various copies of the same data, or different versions.

The key to increasing flexibility in your AI and other analytics systems is to deploy it on a hybrid data architecture that fits data platforms (Hadoop, NoSQL, RDBMS, streaming, etc.) to diverse workloads, access, and consumption profiles.

.@plburris Our customers are shifting to cloud native architectures for their existing deployments of analytic systems. By modernizing the overall deployment, customers can take advantage of elasticity offered by the new cloud architectures.

Carlo Appugliese

For Workload, many clients now on AI journey are embarking on Deep Learning projects, these require a lot of compute. You need to understand the use case, setup the right architecture/ platform and just go.

@madhu_kochar Right. Clarity on data lineage is conducive to trusting the analytics for decision support. But trust alone is not sufficient for improving consumption of the analytics if it's irrelevant data. Data curation needs to be built into the pipeline as well to assure that

Does your company have an integrated analytics platform?

Does your company have an integrated analytics platform?

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Ricardo Balduino0

Please join me for two sessions about using Machine Learning in Healthcare at Think 2019: https://t.co/ZjyrWJtqpi

https://www.linkedin.com/pulse/machine-learning-healthcare-please-join-me-two-think-2019-balduino/?published=t

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Rob Thomas, GM of IBM Analytics, has said there is no AI without an IA (Information Architecture). How are you modernizing your data estate—the organization of your data assets—to get ready for an AI and multicloud world? https://www.crowdchat.net/s/05rda

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I think that he's really nailing the core AI (and ML) angle meta data or information that feeds AI engines is super important. If companies get this right then ML and AI soar to new heights

yes that's axiomatic

1. There are two sources of AI solutions – internal, and external, the normal make or buy decision. For products and services owned, it is vital that data is collected about those services in IA. However, there are many technologies it would be easier to buy.

Jason Tavoularis

Of course! AI requires data. if there's no infrastructure, there can't be much data, so you can't expect the AI to be very smart

Anantha Narasimhan

Our customers are looking at AI to help drive digital and potentially business transformation. At the core of AI are a) People & Culture, b) Process, c) Data

Here's what Rob Thomas had to say on theCUBE recently on the journey to AI in the multicloud: >> I kind of think of it as a maturity curve. So when I go talk to clients, I say, look, you need to be on a journey tow...

Rob Thomas, IBM | Change the Game: Winning With AI 2018
"I kind of think of it as a maturity curve. So when I go talk to clients, I say, look, you need to be on a journey towards AI. I think probably nobody disagrees that they need something there, the qu…

I see this question come up everywhere. Modernization to gain agility, new insights faster, and have more people and business application benefit from it.

Anantha Narasimhan

With data present all across the organization, getting a good handle on it is the very first step... Collect, Organize and then Analyze data. and then Infuse AI models in order to operationalize

Having talked to a number of customers and business partners, this is an issue everyone is grappling with and we are addressing it through our new platform offering ICP for Data , an integrated data and AI platform for multi-cloud

Carlo Appugliese

We work with clients on their Data Science Journey and biggest factor to winning with AI is to make sure you plan for 3 things.. The right skills, the right process/ culture and finally the correct tools..

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Anantha Narasimhan

ML is a great enabler for AI. We need to remember that AI can help us win quickly.. or fall flat quickly. Because if the data is not of good quality, the models will throw up bad insights

There's no practical AI without data quality, governance, prep, and training in a high-performance data lake. Modernizing your data estate in the multicloud for AI demands an industrialized DevOps approach that automates much/most of these processes.

very often one needs to start at the bottom of the AI ladder and the question: How can I collect all the data I need, and make it accessible to the right people, at the right time? And how can i integrate data assets across different locations and data sources?

Anantha Narasimhan

The Garbage-in-Garbage-out phrase

For example, if you are wanting to ensure that only employees are entering enterprise premises, there will be many enterprises with the same problem, and many solutions to purchase.

Hello Everyone ! This is Omar from India Software Labs, Hyderabad.

Every client discussion starts with this dialog... and very critical to have a trusted analytics data foundation. It starts with know your data, trust your data and use your data to further drive insights

@JasonTavoularis Yes. AI can't be smart if data scientists can find the right data to drive feature engineering etc. Likewise, AI models can't do their jobs with high confidence without upfront and ongoing training from fresh operational data.

Couldn't agree more. Quality of AI models is directly proportional to the quality of data used to train the model. Without an information architecture to serve high-quality data, the AI models can be inconsistent, irrelevant or worse biased.

@AnanthRN Regarding people & culture for AI, how are you fostering AI skills throughout your developer and business analyst teams?

IMO, he future for analytics is real-time results. This means fast execution of operational AI/Analytics near the data. It also means low-latency connections between applications wanting to automate processes and the AI/analytics required.

@AnanthRN Right. Infusing AI into the business requires that an operationalized data science pipeline with a strong real-time/streaming CI/CD workflow.

@hkmanda If anyone is looking to learn more about ICP for Data, be sure to check-out session #2571, titled: Change the Game: Learn How to Win with AI happening on Wednesday, February 13th at 1:30pmPST in the Large Theater on the Data & AI Campus.

My IBMThink 2018 presentation #AugmentedIntelligence is the New Way Forward! https://twitter.com/sardire/status/981335468594798... now almost 106,000 impressions

My #Think2018 video #AugmentedIntelligence is the New Way Forward! https://t.co/bSpaEHIK9c #machineintelligence #AI #emotionai

Quoted By @sardire

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Great to have you Steve. We look forward to your responses to the questions.

Welcome to today's Crowdchat, "Journey to AI," with guest hosts from IBM. Who is here?

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Carlo Appugliese

High everyone!! I’m Carlo Appugliese, Program Director on Data Science Elite team in IBM Analytics. I’m looking forward to chatting with you today about #IBMThink…

I'm participating from the SiliconANGLE Wikibon analyst team. Glad to be here. I'm the Lead Analyst for AI. Clicking in from Alexandria, Virginia.

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Anantha Narasimhan

Hello Peter, joining in from a 70 degree F Austin..

Hey - this is Hemanth Manda, Director of Offering Mgmt. for Analytics Platforms @ IBM

I'm in Palo Alto

Hello everybody, this is Madhu Kochar, VP analytics product development... Sitting in beautiful CA with amazing rain

Mary Ann Alberry

I'm in San Francisco!

in Boston today - just got off a call reviewing the Plans for Think 2019 - we're in Moscone North and have a killer 20 X 30 set that IBM is building for us

Hello, everyone. I am Albert

Carlo Appugliese

Well with everyone else bragging.. I'm in Sunny Florida today :)

Anantha Narasimhan

This is Ananth, Program Director of WW Marketing, Unified Governance & Integration, IBM Analytics

Hello from #Philly! Excited to be here!

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hi from chilly MA. Looking forward to the preview of THINK - glad to be going back to an IBM show (after years of Edge and Pulse)

This is David Floyer in a rainy San Francisco. Excited to participate about the journey to AI

Ken from Raleigh, NC here

So glad #think2019 in San Fransisco this year

Jason Tavoularis

This Jason, from the Ottawa IBM Lab, where most of the Cognos Analytics development team resides

Happy Thursday from Cambridge!

And hi from RTP, NC! Colder than I'd prefer but happy to be here

Hello, Albert. Thanks very much for joining today's Crowdchat. We look forward to your insights.

James here from DC

Jason Tavoularis

current expectations are that applications are interactive and real-time. You won't get this performance without modernize infrastructure hosting the data. This is where IBM excels

Hello, this is Pouya from Hamburg, Germany

Anantha Narasimhan

Hello Pouya, welcome to the CrowdChat.. can I help you with anything?