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Patricia Neumann
Vice President Systems Hardware Sales, IBM DACH
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Thomas HarrerIBM Distinguished EngineerCTO Systems HW Sales, Europe
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Künstliche Intelligenz
Kognitives Computing
Machine Learning
Deep Learning
Sprachverstehen
Bildverstehen
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5 TB pro Flug
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Wir sind hier
yottabyte
Unstrukturierte Daten
2010 2025
Strukturierte Daten
Die meisten Daten sind “privat”
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6
Foundation
Cloud Cognitive Industry
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7
Hybrid-Cloud
Kernanwendungen
Kognitive Anwendungen
Fire
wal
l
Kognitive Services
“Private” “Public”
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8
(Dienst)-Reisen
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Focus: Landmarks: Teleportation is not Science Fictionhttps://physics.aps.org/story/v25/st1
Die vielleicht ultimative Reisetechnik ist im Film bereits erfunden - Teleportation
Ansatz: Digitalisierung Hohe Datenmengen Mensch (70kg): ~ 7 x 10 ^ 27 Atome
1 Byte pro Atom 7 „Bronto“byte
Heute nicht speicherbarNicht übertragbar
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ApprovalsVoraussetzungen
Reise durchführen
Reise abrechnen
Planung und Buchung
Dienstreisen „analog“
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Kognitiver ReiseassistentApprovals, Security
Dienstreisen „cognitive“ / „digital“
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Kognitiver ReiseassistentApprovals, Security
Dienstreisen „cognitive“ / „digital“
Kognitiver ReiseassistentPlanung, Buchung
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Integrierte InformationAutonomes FahrenSharing Economy
Kognitiver ReiseassistentPlanung, Buchung
Kognitiver ReiseassistentApprovals, Security
Dienstreisen „cognitive“ / „digital“
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Dienstreisen „cognitive“ / „digital“
Integrierte InformationAutonomes FahrenSharing Economy
Kognitiver ReiseassistentPlanung, Buchung
Kognitiver ReiseassistentApprovals, Security
Smart ContractsDistributed Ledgers
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https://opendatascience.com/blog/embracing-uncertainty-challenges-for-deep-learning/
function json(options){options = options || {};var strict = options.strict !== false;
return function jsonParser(req, res, next) {if (req._body) return next();req.body = req.body || {};
if (!typeis(req, 'json')) return next();
// flag as parsedreq._body = true;
// parsegetBody(req, {
limit: options.limit || '100kb',length: req.headers['content-length'],encoding: 'utf8'
}, function (err, buf) {if (err) return next(err);
var first = buf.trim()[0];
if (0 == buf.length) {return next(error(400, 'invalid json, empty body'));
}…
http://businessoverbroadway.com/statistics-is-this-big-datas-biggest-hurdle
Idea and Visualization borrowed from Dr. Axel Koester
Prozedural Konsistent / Deterministisch
Prozedural Statistisch
Machine LearningDeep Learning
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17
Deep Machine Learning – mit neuronalen Netzen
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18
Kognitive Lösungen basieren auf IT
Gartner: Bi-Modale IT
18
Mode 1: “Legacy” / “System of Record”
ReliabilityLatencyConsistencyStaticDB – CRM - Structured dataAppliance centricSilos of systemsPoor utilizationCIO driven!
+20%
Mode 2: “New Workloads”“Systems of Engagement”
Hybrid Cloud / Software Defined Infrastructure
ScaleCostAgilityOn/off-deploymentUnstructured dataStandard HWLoB driven!
+80%
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Zusätzliche Kognitive / Digitale Business Modelle
Zusätzliche Business Prozesse
IoT Inte-gration
BlockchainUse-Cases
Hybrid Apps
Cloud Native
Kognitive App
SAP HANA
Nex
t G
en S
ecu
rity
Man
agem
ent
Secu
rity Microservices, Cluster,
IoT PlattformBlockchain
ServicesOpen
SourceMachineLearning
Analytics, Spark
In Memory
Software Defined Computing / Container / Private Cloud / ClusterHigh Performance Data
AnalyticsHPCPOWER9Mainframe Next
Software Defined Storage
TapeObject / CloudHyperconvergedDiskFlash
Vorh. Business Modelle
Business Prozesse
Monolith. Anwendungen
EigeneISV
Middleware
DBTXWebApp
Server / HA / DR
…PowerMainframe
Storage / SAN / FS / Backup
TapeDiskFlash
Inte
grat
ion
Neue Kognitive Lösungen und Infrastrukturen für die Digitale TransformationDatenzentrisches Computing! Vorhandene Stärken nutzen.
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Zusätzliche Kognitive / Digitale Business Modelle
Zusätzliche Business Prozesse
IoT Inte-gration
BlockchainUse-Cases
Hybrid Apps
Cloud Native
Kognitive App
SAP HANA
Nex
t G
en S
ecu
rity
Man
agem
ent
Secu
rity Microservices, Cluster,
IoT PlattformBlockchain
ServicesOpen
SourceMachineLearning
Analytics, Spark
In Memory
Software Defined Computing / Container / Private Cloud / ClusterHigh Performance Data
AnalyticsHPCPOWER9Mainframe Next
Software Defined Storage
TapeObject / CloudHyperconvergedDiskFlash
Vorh. Business Modelle
Business Prozesse
Monolith. Anwendungen
EigeneISV
Middleware
DBTXWebApp
Server / HA / DR
…PowerMainframe
Storage / SAN / FS / Backup
TapeDiskFlash
Inte
grat
ion
Neue Kognitive Lösungen und Infrastrukturen für die Digitale TransformationDatenzentrisches Computing! Vorhandene Stärken nutzen.
Virtualisierung und Container im Kontext kognitiver WorkloadsDr. Basil Moshous
Powering the Future of Data with HortonworksSean RobertsCognitive SaaS und PaaS
Blueprints mit IBM SpectrumComputeDaniel Reiberg
Storage für HPC, HPDA und Machine LearningFrank Krämer
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Prozedural Konsistent / Deterministisch
Prozedural Statistisch
Machine LearningDeep Learning
https://opendatascience.com/blog/embracing-uncertainty-challenges-for-deep-learning/
function json(options){options = options || {};var strict = options.strict !== false;
return function jsonParser(req, res, next) {if (req._body) return next();req.body = req.body || {};
if (!typeis(req, 'json')) return next();
// flag as parsedreq._body = true;
// parsegetBody(req, {
limit: options.limit || '100kb',length: req.headers['content-length'],encoding: 'utf8'
}, function (err, buf) {if (err) return next(err);
var first = buf.trim()[0];
if (0 == buf.length) {return next(error(400, 'invalid json, empty body'));
}…
http://businessoverbroadway.com/statistics-is-this-big-datas-biggest-hurdle
Idea and Visualization borrowed from Dr. Axel Koester
Machine Learning with NVIDIA and IBM Power AIJörg Krall
IBM Cognitive Systems – die Basistechnologie für AI
Deep Learning mit Power AI - ein Erfahrungsbericht
Ulrich Walter
Machine Learning auf z SystemsKhadija Souissi
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Zusätzliche Kognitive / Digitale Business Modelle
Zusätzliche Business Prozesse
IoT Inte-gration
BlockchainUse-Cases
Hybrid Apps
Cloud Native
Kognitive App
SAP HANA
Nex
t G
en S
ecu
rity
Man
agem
ent
Secu
rity Microservices, Cluster,
IoT PlattformBlockchain
ServicesOpen
SourceMachineLearning
Analytics, Spark
In Memory
Software Defined Computing / Container / Private Cloud / ClusterHigh Performance Data
AnalyticsHPCPOWER9Mainframe Next
Software Defined Storage
TapeObject / CloudHyperconvergedDiskFlash
Vorh. Business Modelle
Business Prozesse
Monolith. Anwendungen
EigeneISV
Middleware
DBTXWebApp
Server / HA / DR
…PowerMainframe
Storage / SAN / FS / Backup
TapeDiskFlash
Inte
grat
ion
Neue Kognitive Lösungen und Infrastrukturen für die Digitale TransformationDatenzentrisches Computing! Vorhandene Stärken nutzen.
Open Source Software auf IBM SystemenDilek Sezgün
Cognitive Use Cases im UmfeldSAP HANA auf IBM POWERCarsten Dieterle
Innovationen in der Infrastruktur / Quantum ComputingDr. Albert Frisch
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Kognitive Lösungen
Evolution
ErweiterungGeschäftsmodell
Disruption
KanibalisierungGeschäftsmodell
Evolution für ein einzelnes Unternehmen kann disruptiv fürandere sein oder für ganze Branchen (z.B. Fintechs für Banking)
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Bauen Sie Ihre Infrastruktur für kognitive Lösungen
Thomas HarrerIBM Distinguished EngineerCTO Systems HW Sales, Europe