SlideShare a Scribd company logo
Software Architecture:
September Assignment




  Ingmar Dasseville - s0198801
ADD
ADD1
●   Driver: Alarm Handling (P1)
        –   High Priority
        –   High impact on the system
●   Tactics:
        –   Scheduling: Ideal to make optimal use of
             the system according to the time
             constraints
        –   Reduce Computation Overhead: too little
             control
        –   Concurrency: improve throughput
ADD1: Alarm Handling
ADD1: Alarm Handling
ADD2
●   Driver: Pricing (M1)
        –   High Priority
        –   Higher impact than Av1 (database is
             already existent, pricing isn't)
●   Tactics:
        –   Semantic Coherence: create central point
             for pricing as localize the changes
        –   Use an Intermediary: a component
             connecting the bill sender and the data,
             so ripple effects are avoided
        –   Adherence to Protocol: the changes are
             too large for one protocol to cover
ADD2: Pricing
Final Architecture
●   Context
●   Component
●   Deployment
Context Diagram
Top Level Component Diagram
Lower Level: Trame Database
Deployment Diagram
Scenarios
New Measurement Trame
Anomaly Detection
Alarm Handling
Cloud based Fraud Detection
●   No non-functional requirements
●   Special case of Anomaly Detection
June vs September
●   Consistency: earlier start with appendix for
    self-check
●   Context Diagram: components shown
●   Decomposition: consistency
●   Deployment: motivated
●   Scenarios: consistency
●   ADD: only non-functional drivers, but
    focus on high-impact drivers

More Related Content

What's hot

Smart Locus Product Presentation
Smart Locus Product PresentationSmart Locus Product Presentation
Smart Locus Product Presentation
Loretta Falcone
 
smart locus presentation v 6.1 may 2014
smart locus presentation v 6.1 may 2014smart locus presentation v 6.1 may 2014
smart locus presentation v 6.1 may 2014
Loretta Falcone
 
Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014
Loretta Falcone
 
Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014
Loretta Falcone
 
Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014
Loretta Falcone
 
Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014
Loretta Falcone
 
Abstract presentation on feature engineering on streaming data for pycon
Abstract presentation on feature engineering on streaming data for pyconAbstract presentation on feature engineering on streaming data for pycon
Abstract presentation on feature engineering on streaming data for pycon
MayankPrasoon2
 
Stork Crane Integrity
Stork Crane IntegrityStork Crane Integrity
Stork Crane Integrity
GH_Wijnants
 
Network Admin D R P
Network  Admin    D R PNetwork  Admin    D R P
Network Admin D R P
colmbennett
 
Arithmetic micro Operations
Arithmetic micro OperationsArithmetic micro Operations
Arithmetic micro Operations
mahesh kumar prajapat
 
Checmate production management suite
Checmate production management suiteChecmate production management suite
Checmate production management suite
Dynamic Systems
 
Optimizer+ GiS for Asset Management
Optimizer+ GiS for Asset ManagementOptimizer+ GiS for Asset Management
Optimizer+ GiS for Asset Management
RODIAS GmbH
 
ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009
ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009
ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009
Bruce Ware, PMI Certified PM Professional
 
Avacs presentation by jun7
Avacs presentation by jun7Avacs presentation by jun7
Avacs presentation by jun7
Svend Andersen
 
Fire Proximity Awareness Monitoring with FME
Fire Proximity Awareness Monitoring with FMEFire Proximity Awareness Monitoring with FME
Fire Proximity Awareness Monitoring with FME
Safe Software
 
Charles Einarson Greenbelt Presentation
Charles Einarson Greenbelt PresentationCharles Einarson Greenbelt Presentation
Charles Einarson Greenbelt Presentation
Charles Einarson
 
2 planning
2 planning2 planning
Vp lecture 10 ararat
Vp lecture 10 araratVp lecture 10 ararat
Vp lecture 10 ararat
Saman M. Almufti
 
Applications of FME in a Consultant Environment
Applications of FME in a Consultant EnvironmentApplications of FME in a Consultant Environment
Applications of FME in a Consultant Environment
Sterling Geo
 
Out of band signaling
Out of band signalingOut of band signaling
Out of band signaling
Shubhamg Gupta
 

What's hot (20)

Smart Locus Product Presentation
Smart Locus Product PresentationSmart Locus Product Presentation
Smart Locus Product Presentation
 
smart locus presentation v 6.1 may 2014
smart locus presentation v 6.1 may 2014smart locus presentation v 6.1 may 2014
smart locus presentation v 6.1 may 2014
 
Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014
 
Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014Smart locus presentation end user 6.1 may 2014
Smart locus presentation end user 6.1 may 2014
 
Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014
 
Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014Copy of smart locus presentation end user 6.1 may 2014
Copy of smart locus presentation end user 6.1 may 2014
 
Abstract presentation on feature engineering on streaming data for pycon
Abstract presentation on feature engineering on streaming data for pyconAbstract presentation on feature engineering on streaming data for pycon
Abstract presentation on feature engineering on streaming data for pycon
 
Stork Crane Integrity
Stork Crane IntegrityStork Crane Integrity
Stork Crane Integrity
 
Network Admin D R P
Network  Admin    D R PNetwork  Admin    D R P
Network Admin D R P
 
Arithmetic micro Operations
Arithmetic micro OperationsArithmetic micro Operations
Arithmetic micro Operations
 
Checmate production management suite
Checmate production management suiteChecmate production management suite
Checmate production management suite
 
Optimizer+ GiS for Asset Management
Optimizer+ GiS for Asset ManagementOptimizer+ GiS for Asset Management
Optimizer+ GiS for Asset Management
 
ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009
ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009
ERASMUS Strategic Deconfliction to Benefit SESAR Presentation 2009
 
Avacs presentation by jun7
Avacs presentation by jun7Avacs presentation by jun7
Avacs presentation by jun7
 
Fire Proximity Awareness Monitoring with FME
Fire Proximity Awareness Monitoring with FMEFire Proximity Awareness Monitoring with FME
Fire Proximity Awareness Monitoring with FME
 
Charles Einarson Greenbelt Presentation
Charles Einarson Greenbelt PresentationCharles Einarson Greenbelt Presentation
Charles Einarson Greenbelt Presentation
 
2 planning
2 planning2 planning
2 planning
 
Vp lecture 10 ararat
Vp lecture 10 araratVp lecture 10 ararat
Vp lecture 10 ararat
 
Applications of FME in a Consultant Environment
Applications of FME in a Consultant EnvironmentApplications of FME in a Consultant Environment
Applications of FME in a Consultant Environment
 
Out of band signaling
Out of band signalingOut of band signaling
Out of band signaling
 

Viewers also liked

Berlin LLC - TV for the World!
Berlin LLC - TV for the World!Berlin LLC - TV for the World!
Berlin LLC - TV for the World!
Thomas Reemer
 
What Is High-Speed Business Networking?
What Is High-Speed Business Networking?What Is High-Speed Business Networking?
What Is High-Speed Business Networking?
guest3b2c9b
 
Burj Dubai
Burj DubaiBurj Dubai
Burj Dubai
guest5ec7c7
 
Spain Is Different
Spain Is DifferentSpain Is Different
Spain Is Different
pacoja
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
mmmartian
 
Kcc language experience
Kcc  language experienceKcc  language experience
Kcc language experience
mmmartian
 
Auditoria de seguridad informática lopd
Auditoria de seguridad informática lopdAuditoria de seguridad informática lopd
Auditoria de seguridad informática lopd
José Canchucaja
 

Viewers also liked (7)

Berlin LLC - TV for the World!
Berlin LLC - TV for the World!Berlin LLC - TV for the World!
Berlin LLC - TV for the World!
 
What Is High-Speed Business Networking?
What Is High-Speed Business Networking?What Is High-Speed Business Networking?
What Is High-Speed Business Networking?
 
Burj Dubai
Burj DubaiBurj Dubai
Burj Dubai
 
Spain Is Different
Spain Is DifferentSpain Is Different
Spain Is Different
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
 
Kcc language experience
Kcc  language experienceKcc  language experience
Kcc language experience
 
Auditoria de seguridad informática lopd
Auditoria de seguridad informática lopdAuditoria de seguridad informática lopd
Auditoria de seguridad informática lopd
 

Similar to Sa presentatie

Self-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policiesSelf-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policies
NECST Lab @ Politecnico di Milano
 
Energy efficient computing & computational services
Energy efficient computing & computational services Energy efficient computing & computational services
Energy efficient computing & computational services
David Wallom
 
Self-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policiesSelf-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policies
NECST Lab @ Politecnico di Milano
 
What's New in Scylla Monitoring 3.0
What's New in Scylla Monitoring 3.0What's New in Scylla Monitoring 3.0
What's New in Scylla Monitoring 3.0
ScyllaDB
 
DS CP PPT.pptx
DS CP PPT.pptxDS CP PPT.pptx
DS CP PPT.pptx
PrasannaBhalerao3
 
Machine Learning for a dynamic sizing of Elia balancing reserves!
Machine Learning for a dynamic sizing of Elia balancing reserves!Machine Learning for a dynamic sizing of Elia balancing reserves!
Machine Learning for a dynamic sizing of Elia balancing reserves!
N-SIDE
 
DCS
DCSDCS
Ia Ems
Ia EmsIa Ems
Challenges of monitoring distributed systems
Challenges of monitoring distributed systemsChallenges of monitoring distributed systems
Challenges of monitoring distributed systems
Nenad Bozic
 
A Survey on Task Scheduling and Load Balanced Algorithms in Cloud Computing
A Survey on Task Scheduling and Load Balanced Algorithms in Cloud ComputingA Survey on Task Scheduling and Load Balanced Algorithms in Cloud Computing
A Survey on Task Scheduling and Load Balanced Algorithms in Cloud Computing
IRJET Journal
 
VictoriaMetrics Anomaly Detection Updates: Q1 2024
VictoriaMetrics Anomaly Detection Updates: Q1 2024VictoriaMetrics Anomaly Detection Updates: Q1 2024
VictoriaMetrics Anomaly Detection Updates: Q1 2024
VictoriaMetrics
 
Self-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policiesSelf-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policies
NECST Lab @ Politecnico di Milano
 
"Architecture assessment from classics to details", Dmytro Ovcharenko
"Architecture assessment from classics to details",  Dmytro Ovcharenko"Architecture assessment from classics to details",  Dmytro Ovcharenko
"Architecture assessment from classics to details", Dmytro Ovcharenko
Fwdays
 
Asymmetry in Large-Scale Graph Analysis, Explained
Asymmetry in Large-Scale Graph Analysis, ExplainedAsymmetry in Large-Scale Graph Analysis, Explained
Asymmetry in Large-Scale Graph Analysis, Explained
Vasia Kalavri
 
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
Scheduling Task-parallel Applications in Dynamically Asymmetric EnvironmentsScheduling Task-parallel Applications in Dynamically Asymmetric Environments
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
LEGATO project
 
Introduction to Redux.pptx
Introduction to Redux.pptxIntroduction to Redux.pptx
Introduction to Redux.pptx
MohammadImran322154
 
Top Signs You May Have Outgrown Your Legacy ERP system
Top Signs You May Have Outgrown Your Legacy ERP systemTop Signs You May Have Outgrown Your Legacy ERP system
Top Signs You May Have Outgrown Your Legacy ERP system
Jessica Primanzon, MBA
 
Top Signs You May Have Outgrown Your Legacy ERP System
Top Signs You May Have Outgrown Your Legacy ERP SystemTop Signs You May Have Outgrown Your Legacy ERP System
Top Signs You May Have Outgrown Your Legacy ERP System
Unanet
 
Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
Why Serverless Flink Matters - Blazing Fast Stream Processing Made ScalableWhy Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
HostedbyConfluent
 
Datadogoverview.pptx
Datadogoverview.pptxDatadogoverview.pptx
Datadogoverview.pptx
ssuser8bc443
 

Similar to Sa presentatie (20)

Self-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policiesSelf-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policies
 
Energy efficient computing & computational services
Energy efficient computing & computational services Energy efficient computing & computational services
Energy efficient computing & computational services
 
Self-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policiesSelf-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policies
 
What's New in Scylla Monitoring 3.0
What's New in Scylla Monitoring 3.0What's New in Scylla Monitoring 3.0
What's New in Scylla Monitoring 3.0
 
DS CP PPT.pptx
DS CP PPT.pptxDS CP PPT.pptx
DS CP PPT.pptx
 
Machine Learning for a dynamic sizing of Elia balancing reserves!
Machine Learning for a dynamic sizing of Elia balancing reserves!Machine Learning for a dynamic sizing of Elia balancing reserves!
Machine Learning for a dynamic sizing of Elia balancing reserves!
 
DCS
DCSDCS
DCS
 
Ia Ems
Ia EmsIa Ems
Ia Ems
 
Challenges of monitoring distributed systems
Challenges of monitoring distributed systemsChallenges of monitoring distributed systems
Challenges of monitoring distributed systems
 
A Survey on Task Scheduling and Load Balanced Algorithms in Cloud Computing
A Survey on Task Scheduling and Load Balanced Algorithms in Cloud ComputingA Survey on Task Scheduling and Load Balanced Algorithms in Cloud Computing
A Survey on Task Scheduling and Load Balanced Algorithms in Cloud Computing
 
VictoriaMetrics Anomaly Detection Updates: Q1 2024
VictoriaMetrics Anomaly Detection Updates: Q1 2024VictoriaMetrics Anomaly Detection Updates: Q1 2024
VictoriaMetrics Anomaly Detection Updates: Q1 2024
 
Self-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policiesSelf-adaptive container monitoring with performance-aware Load-Shedding policies
Self-adaptive container monitoring with performance-aware Load-Shedding policies
 
"Architecture assessment from classics to details", Dmytro Ovcharenko
"Architecture assessment from classics to details",  Dmytro Ovcharenko"Architecture assessment from classics to details",  Dmytro Ovcharenko
"Architecture assessment from classics to details", Dmytro Ovcharenko
 
Asymmetry in Large-Scale Graph Analysis, Explained
Asymmetry in Large-Scale Graph Analysis, ExplainedAsymmetry in Large-Scale Graph Analysis, Explained
Asymmetry in Large-Scale Graph Analysis, Explained
 
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
Scheduling Task-parallel Applications in Dynamically Asymmetric EnvironmentsScheduling Task-parallel Applications in Dynamically Asymmetric Environments
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
 
Introduction to Redux.pptx
Introduction to Redux.pptxIntroduction to Redux.pptx
Introduction to Redux.pptx
 
Top Signs You May Have Outgrown Your Legacy ERP system
Top Signs You May Have Outgrown Your Legacy ERP systemTop Signs You May Have Outgrown Your Legacy ERP system
Top Signs You May Have Outgrown Your Legacy ERP system
 
Top Signs You May Have Outgrown Your Legacy ERP System
Top Signs You May Have Outgrown Your Legacy ERP SystemTop Signs You May Have Outgrown Your Legacy ERP System
Top Signs You May Have Outgrown Your Legacy ERP System
 
Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
Why Serverless Flink Matters - Blazing Fast Stream Processing Made ScalableWhy Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
Why Serverless Flink Matters - Blazing Fast Stream Processing Made Scalable
 
Datadogoverview.pptx
Datadogoverview.pptxDatadogoverview.pptx
Datadogoverview.pptx
 

Recently uploaded

Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
SitimaJohn
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 

Recently uploaded (20)

Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 

Sa presentatie