Paul Hofmann
11 SlideShares 319 Followers 958 Folgens
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area, California United States
Beruf
CTO AI and Data Science @Accenture Resources
Branche
Technology / Software / Internet
Webseite
www.paul.bio
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Bridging the gap between technology and business. Seasoned executive leader with 25+ years international experience in chemical (BASF) and IT industry (VP R&D @SAP, CTO AI and Data Science @Accenture, CTO @Space-Time Insight and CTO @Saffron Technology) combined with a terrific academic background as scientist and assistant professor @Northwestern University, Evanston; MIT, Cambridge; TU Munich and Darmstadt Institute of Technology, Germany. Early adopter of innovative technology solutions for measurable business impact with extensive international experience. - Expert in machine learning, optimization and data storage
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machine learning ai iot cloud deep learning predictive analytics failure time prediction in-memory analytics facebook innovation big data mobile cloud storage erp simulation exponential data growth performance complex event processing robotics saas future open source linq distributed computing sap research hpc similarity cognitive distance ibm cognitive computing prediction of battery degradation hidden markov model anomaly detection block chain bayesian networks trading online billing smart grid stochastic optimization streaming sustainability google mobile marketing web 3.0 social networks social media consumerization multicore quality control and tracking interoperability security sap cloud computing search statistics semantics business applications drugs dns supply chain rfid social new technologies coherent shared memory rdbms
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Präsentationen

(9)
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New Technologies For The Sustainable Enterprise; keynote @Wharton

Vor 12 Jahren • 703 Aufrufe

Dynamic Search Using Semantics & Statistics

Vor 12 Jahren • 1536 Aufrufe

The Big Five IT Mega Trends

Vor 12 Jahren • 5295 Aufrufe

New Business Applications Powered by In-Memory Technology @MIT Forum for Supply Chain Innovation, 2011

Vor 9 Jahren • 1153 Aufrufe

Future IT Trends Talk @Stanford OIT 554 Class - Guest Speaker - 3.7.17

Vor 7 Jahren • 411 Aufrufe

Cognitive computing with associative memories reasoning by similarity

Vor 7 Jahren • 244 Aufrufe

Machine Learning on IoT Data

Vor 6 Jahren • 760 Aufrufe

Reasoning by Similarity on Top of an Associative Memory

Vor 3 Jahren • 75 Aufrufe

Future Technologies for the Connected Enterprise

Vor 3 Jahren • 146 Aufrufe

Dokumente

(2)

RFID Simulation of the US Pharmaceutical Supply Chain

Vor 12 Jahren • 629 Aufrufe

Economics of Cloud Computing

Vor 12 Jahren • 550 Aufrufe

Gefällt mir

(2)

Apache cassandra & apache spark for time series data

Patrick McFadin • Vor 9 Jahren

Why Fear Deflation? A Tutorial

Ed Dolan • Vor 9 Jahren
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area, California United States
Beruf
CTO AI and Data Science @Accenture Resources
Branche
Technology / Software / Internet
Webseite
www.paul.bio
Info
Bridging the gap between technology and business. Seasoned executive leader with 25+ years international experience in chemical (BASF) and IT industry (VP R&D @SAP, CTO AI and Data Science @Accenture, CTO @Space-Time Insight and CTO @Saffron Technology) combined with a terrific academic background as scientist and assistant professor @Northwestern University, Evanston; MIT, Cambridge; TU Munich and Darmstadt Institute of Technology, Germany. Early adopter of innovative technology solutions for measurable business impact with extensive international experience. - Expert in machine learning, optimization and data storage
Tags
machine learning ai iot cloud deep learning predictive analytics failure time prediction in-memory analytics facebook innovation big data mobile cloud storage erp simulation exponential data growth performance complex event processing robotics saas future open source linq distributed computing sap research hpc similarity cognitive distance ibm cognitive computing prediction of battery degradation hidden markov model anomaly detection block chain bayesian networks trading online billing smart grid stochastic optimization streaming sustainability google mobile marketing web 3.0 social networks social media consumerization multicore quality control and tracking interoperability security sap cloud computing search statistics semantics business applications drugs dns supply chain rfid social new technologies coherent shared memory rdbms
Mehr anzeigen