IMC Summit 2016 Innovation - Chris Villinger - Capture Perishable Insights Before the Moment is Lost

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CAPTURE PERISHABLE INSIGHTS BEFORE THE MOMENT IS LOST CHRIS VILLINGER VP BUSINESS DEVELOPMENT & MARKETING See all the presentations from the In-Memory Computing Summit at http://imcsummit.org

Transcript of IMC Summit 2016 Innovation - Chris Villinger - Capture Perishable Insights Before the Moment is Lost

PowerPoint Presentation

Capture perishable insightsbefore the moment is lost

Chris VillingerVP Business Development & Marketing

See all the presentations from the In-Memory Computing Summit at http://imcsummit.org

In todays competitive business environment, companies need to capture perishable opportunities before the moment is lost. Business intelligence is not enough. Live systems need to analyze data in motion to create operational intelligence. With its ability to store and analyze fast-changing data in milliseconds, in-memory computing technology provides the secret sauce that enables operational intelligence at scale for these systems.ScaleOut Softwares in-memory computing technology integrates scalable, in-memory data storage and data-parallel computing to deliver on the promise of operational intelligence. This enables financial systems to react more quickly to market price changes, IoT applications to track the behavior of millions of devices, healthcare systems to analyze real-time telemetry from pacemakers, and e-commerce sites to make context-aware recommendations to online shoppers just to name a few applications. We are only now beginning to tap the power of this technology to enhance the value of live systems.

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We enable operational intelligence by storing, updating, and analyzing fast-changing data to capture perishable insights, before the moment is lost

Production-proven with over 425 customers:

A little about who we areIn-memory data grids (IMDGs) with integrated data-parallel compute engine, for:Application performance scalingIn-memory data storage and computingOperational intelligence for live, fast-changing data

Founded in 2003, over 11 years in market, 425+ customers10,000+ servers deployed

Our founder has a 30-year history in parallel supercomputing at Bell Labs, Intel, and Microsoft.

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In our interconnected digital world, traditional business intelligence can no longer keep up with the velocity of data.

July 2015:United grounds planesNYSE halts tradingWSJ website goes downFebruary 2016:First autonom accidentYet we need immediate insights more than ever

Actual causes: legacy automation systems and immature real-time platforms

Architecting New Velocity Needs With In-Memory Computing and Big Data, 15 April 2015, Roxane Edjlali | Massimo Pezzini3

E-CommerceContextualize recommendationsBoost conversion

ManufacturingSelf-manage factory floorsPrevent costly failure scenarios

Brick&Mortar RetailAdvise shoppersPersonalize in-the-moment offers

Financial ServicesReact to market dynamicsDetect fraud

HealthcareMonitor patients ubiquitouslyLower healthcare costs

Internet of ThingsCorrelate streams of telemetryAutomate decision making

Real-time insights are needed everywhere

Correlate streams of live data with historical models and interact with live systems, in real time.

ECOMMERCE Achieve true 1:1 personalization through context-aware recommendationsBRICK&MORTAR RETAIL Imagine a store clerk being able to deliver a personal shopper experience to all their customersFINANCIAL SERVICES React immediately to changing market dynamics or identify fraud as it happensIoT Todays holy grail of correlating millions of streams of data from devices and sensorsMANUFACTURING consider smart factories that are able to predict failures before they occurHEALTHCARE HC informatics that allow clinicians to achieve better patient outcomes by being able to monitor patients wherever they may be

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These applications need

the ability to analyze data in real time and provide immediate insights to live systems

Operational Intelligence

insights and feedback

Operational intelligence has the potential to transform live systems in many applications and offer an important, new competitive edge for businesses.

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OI Video

YouTube video: ScaleOut Software: What is Operational Intelligence?(1min 50sec length)https://youtu.be/H6OFzdIEy-g

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OI Video

YouTube video: ScaleOut Software: What is Operational Intelligence?(1min 50sec length)https://youtu.be/H6OFzdIEy-g

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ESPIMDG: In-memory data gridESP: Event stream processingBIHadoopSparkHanaOPERATIONALINTELLIGENCEReal-timeLive data setsGigabytes to terabytesIn-memory storageSub-seconds to secondsBest uses:Track live dataImmediately identify trends and capture opportunitiesProvide immediate feedbackBUSINESSINTELLIGENCEBatchStatic data setsPetabytes to exabytesDisk-based storageMinutes to hoursBest uses:Analyze warehoused dataMine for long-term trendsBig Data Analytics

OIIMDGsESPStormIMDG: In-memory data gridESP: Event stream processingBIHadoopSparkHana

Business intelligence on static historic data sets needs to evolve to deliver operational intelligence.

Provide immediate feedback on an ever changing situation.8

Tracks the behavior of live systemsEnables feedback in millisecondsScales to handle elastic workloadsRuns non-stopIn-memory computing technology enables operational intelligence

With its ability to store and analyze fast-changing data in milliseconds, in-memory computing technology provides the secret sauce that enables operational intelligence at scale for mission-critical systems.

In-memory computing eliminates the real-time bottlenecks inherent in the techniques used for business intelligence, and it enables feedback to be generated within milliseconds or seconds. For example, it avoids the overheads of disk-based data storage and batch scheduling so that live data can be tracked and analyzed with much lower latency.

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Operational intelligence requires in-memory computing to deliver these capabilitiesLow-latencyScalabilityHigh-availabilityRespond fastScale on demandFail-over reliably

CoherencyEase-of-useAlways serve the right dataAutomatically configure & manage

The Big ThreeCritical Differentiators

Some Major

Mission critical

All at the lowest TCO, with the smallest commodity hardware footprint, and least administrative & maintenance burden

https://en.wikipedia.org/wiki/CAP_theoremhttp://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed

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Capture perishable insights, before the moment is lostWe need operational intelligence to capture immediate insights

In-memory computing provides the enabling technologyWe live in an increasingly interconnected world

This is why this conference is so critical11

www.scaleoutsoftware.comIn-Memory Computing for Operational Intelligence