Data Conference Databasea Query.Farm index
Conference
STAC Summit Vendor & industry
Dates
Nov 1, 2021 – Nov 2, 2021
Venue
—
Place
—
Format
Online
Status
Past
Attendance
—
Website
docs.stacresearch.com
Recorded
0 sponsors · 36 speaker appearances
Notes
Online replacement for the fall 2021 New York, Chicago and London summits; 1-2 November 2021 (dates from a Wayback snapshot of the event page). Online only. Speakers: full agenda as published on the event page; affiliations as listed at the time. No ticket price stated on the event page (STAC Summits are generally free for qualified financial-firm practitioners; not stated for this edition). No sponsor list on the archived page.

Ticket prices

No ticket prices recorded

Sponsors 0

No sponsors recorded

Speakers and talks 36

SpeakerCompanyRoleTalkLinks
Adam ShererCadenceSpeakerBest practices in design for FPGA or ASIC—
Ahmad ByagowiMetaSpeakerFacebook's open-source time appliance—
Alex SteinLiquid-MarketsSpeakerThe Real Numbers Don't Lie—
Andrew GardinerKXSpeakerKX Insights—
Ben NewtonCitihub DigitalSpeakerIs matching marching to the cloud?—
Bob GainesSambaNovaSpeakerDevelop your models faster, more accurately and for less cost by leveraging deep learning and large datasets—
Bob GainesSambaNovaSpeakerSolving ML's data problem—
Dan BiedermanIntelSpeakerAccuracy as a commodity: How Time Card will benefit applications—
Daryl InnisOpenAISpeakerAccuCore HCF™ delivers low-latency optical transmission—
Dave SnowdonAristaSpeakerBeyond nanoseconds — more accurate, and more flexible FPGA switching—
David CohenIntelSpeakerAccuracy as a commodity: How Time Card will benefit applications—
Dean CaforaAchronixSpeakerHacking the packet in ASIC with eFPGA—
Franciso GirelaSeven SolutionsSpeakerDown the White Rabbit hole: Sub-nanosecond long distance links and integrations in FPGA devices—
Gareth MasonOptions TechnologySpeakerAlerts ain’t enough: Turning system-insight into action—
Gareth MasonOptions TechnologySpeakerHi-fidelity trading analytics delivered 'as a service'. The trend towards outsourced and evergreen deployments.—
Gary KazantsevBloombergSpeakerSolving ML's data problem—
Inderdeep SinghCME GroupSpeakerSolving ML's data problem—
James CoomerDDNSpeakerSolving ML's data problem—
James CoomerDDNSpeakerDDN Parallel Storage for Faster Financial Analytics—
Jinyoung KimMorningstarSpeakerAutomating the delivery of insight—
Joe JakubowskiLenovoSpeakerLenovo ThinkSystem SR650 & SR650 V2 STAC-M3 Antuco Suite Performance Leadership—
John AshleyNVIDIASpeakerThe trader of the future—revisited—
Kshitij DoshiIntelSpeakerSqueezing every drop from a cloud: Lessons in full-stack optimization—
Luke HoerstenBitnomialSpeakerIs matching marching to the cloud?—
Markus LöningData ScientistSpeakerTime series as a first-class citizen in Python—
Mike GalimeKeysightSpeakerAlerts ain’t enough: Turning system-insight into action—
Peter DurkanLuceraSpeakerAlerts ain’t enough: Turning system-insight into action—
Peter NabichtSTACSpeakerSTAC Big Compute Update—
Peter NabichtSTACSpeakerSTAC Time Series Update—
Peter NabichtSTACSpeakerSTAC Low Latency Update—
Raghu NambiarAMDSpeakerAMD EPYC for Confidential Computing—
Ron NevocPacket NetworksSpeakerAlerts ain’t enough: Turning system-insight into action—
Sebastian JugRed HatSpeakerBuilding an Accelerated Infrastructure for STAC-A2 with Red Hat OpenShift and NVIDIA DGX A100—
Stefan ZohrenOxford-Man InstituteSpeakerMaking a new ML forecasting approach practical—
Ulku RoweGoogleSpeakerMaking AI real in capital markets.—
Ulku RoweGoogleSpeakerIs matching marching to the cloud?—

Sources