Introduction to Artificial Intelligence. Not complex and should be relative easy to follow. Be aware that due to its high levelness (and no voice over) some care should be taken by the simplified examples used.
Organizations increasingly require real-time, highly scalable computing platforms in industries such as financial services, telecommunications, retail, SaaS, and IoT. This has spurred rapid advancements in chips, servers, storage and software for in-memory computing. We will review the state of in-memory computing today and offer some thoughts on where it is headed tomorrow as companies strive to create real-time, massively scalable Fast Data solutions.
Gary Hope - Machine Learning: It's Not as Hard as you ThinkSaratoga
Gary Hope is currently the Data Platform Technical Specialist within Microsoft South Africa having previously worked for several large organisations including American Express and Siemens Business Solutions.
Slides from talks presented at Mammoth BI in Cape Town on 17 November 2014.
Visit www.mammothbi.co.za for details on the event. Follow @MammothBI on twitter.
Introduction to Artificial Intelligence. Not complex and should be relative easy to follow. Be aware that due to its high levelness (and no voice over) some care should be taken by the simplified examples used.
Organizations increasingly require real-time, highly scalable computing platforms in industries such as financial services, telecommunications, retail, SaaS, and IoT. This has spurred rapid advancements in chips, servers, storage and software for in-memory computing. We will review the state of in-memory computing today and offer some thoughts on where it is headed tomorrow as companies strive to create real-time, massively scalable Fast Data solutions.
Gary Hope - Machine Learning: It's Not as Hard as you ThinkSaratoga
Gary Hope is currently the Data Platform Technical Specialist within Microsoft South Africa having previously worked for several large organisations including American Express and Siemens Business Solutions.
Slides from talks presented at Mammoth BI in Cape Town on 17 November 2014.
Visit www.mammothbi.co.za for details on the event. Follow @MammothBI on twitter.
Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...exponential-inc
Over the last few years we’ve seen a frenzy of interest and buzz around the area of Big Data. Beyond the hype, there is a solid base of growing use cases, which are becoming center stage to most businesses. 2012 was the year of awareness. There was a great amount of sharing from the early core developers of the analytic platforms – showing the rest of the world the capabilities of the tools and platforms that had been developed for special purpose high scale analytics. The big names at the core of open source analytics development include Facebook, eBay, Linkedin, Twitter – all blazing the trail with new approaches. These companies brought along with them a new and expanding interest in leveraging the same technologies for commercial interest.
This talk is focused at how a growing number of enterprises that are already heavily invested in the use cases – but by volume, most customers now have some form of big data proof-of-concept underway. These proof of concepts typically start with a thesis of how competitive advantage can be gained through insight from the data. A proof of concept can quickly validate the theory, and helps sell further investment in the analytics platform, and it snowballs from there.
Revolution of Quantum Computing in AI EraPrinceBarpaga
What is a Quantum Computer?
How does a Quantum Computer Work?
How will Quantum Computing revolutionize AI?
Can a Computer think like a human?
These are all the questions that I seek to answer in my presentation which was delivered at York University on 22nd March at Lassonde School of Engineering.
Presentation done and delivered by Prince Barpaga
Big Data & Machine Learning - TDC2013 Sao PauloOCTO Technology
BigData and Machine Learning: Usage and Opportunities for your IT department
Talk presented at The Developer Conference in São Paulo - 12/0713
Mathieu DESPRIEE
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors.
Why this matters:
The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions.
Highlights:
▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain
▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing
▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond
▪ Future of Work: How automation will redefine jobs and economic structures by 2040
With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.
Artificial Intelligence in practice - Gerbert Kaandorp - Codemotion Amsterdam...Codemotion
In this talk Gerbert will give an overview of Artificial Intelligence, outline the current state of the art in research and explain what it takes to actually do an AI project. Using practical cases and tools he will give you insight in the phases of an AI project and explain some of the problems you might encounter along the way and how you might be able to solve them.
Executive SummaryThis report addresses four major concerns that .docxrhetttrevannion
Executive Summary
This report addresses four major concerns that the New York City Council has for its ageing IT infrastructure located at City Hall. After a recent renovation, the cost of project exceeded the planned cost by more than $50 million. This has impacted on their vision of improving the current IT infrastructure. The mayor of New York has approached our firm and has shared some of their concerns they have and have asked us to address the following concerns.
The first concern relates to the New York City council having more than 1000 personal computers (PCs) operating at City Hall throughout the different departments. There is a need to reduce the total amount of PCs across the department to save on energy costs as well as updating the current operating system (OS) to Windows 10. The second concern relates to the current specifications of the PCs in relation to Windows 10 system requirements and whether they can be salvaged and used for the next three years. About half of the current PCs will have to be removed as they will not be able to last for three years. The third concern relates to the security of the OS system, where a recommendation has been requested for the best server operating system. The final concern relates to the best method of securely backing up documentation that can be accessed by all councillors at any time of the day.
This report contains all the recommendations for a new operating system, hardware requirements, a recommendation for a server operating system and the best method to securely share documents. The recommendations that are contained within this report are what we believe will address all the concerns that have been put forth.
i
Table of Contents
Executive Summary i
Introduction 1
Standard Operating Environment 2
Hardware Requirements 3
Server Operating System Security 4
Cloud-Based Services 5
Conclusion 6
References 7
No table of figures entries found.
Introduction
Technology has changed the very way that we interact with each other and how we conduct business. It is a powerful resource that is ever-changing which requires us to constantly evolve on how we harness the technology (Duncan 2011). The Mayor of New York City (NYC) has approached our firm and has asked for assistance in budgeting for new IT equipment in relation to four major concerns over the current state of the IT infrastructure in City Hall. These concerns are the current energy usage of the 1000 personal computers, whether the current PCs meet minimum specification, security implications and secure documentation backup. This report outlines the most suitable operating system for the councils standard operating environment, new and existing hardware requirements, recommended server operating system for optimal security and the recommended cloud-based services for storage. Standard Operating Environment
A standard operating environment (SOE) is the standardisation of the operating system and software application that .
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
Sysmech The Zen of Consolidated Network Performance ManagementSystemsMechanics
Andy Stubley, Director of Strategy at SysMech, presentation: "The Zen application: leveraging the latest Real-Time Big Data Capture, Analysis and Visualisation tools to offer end 2 end and cross-domain network views" Simultaneously reducing Opex by consolidating the multiple Network Performance Management systems in complex multi-vendor and multi-technology environments.
Invited talk presented at the Alan Turing Institute Scoping Workshop: Data Protection and Security at Scale, British Library, London, UK, 3 December 2015
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Keynote Address at 2013 CloudCon: Future of Big Data by Richard McDougall (In...exponential-inc
Over the last few years we’ve seen a frenzy of interest and buzz around the area of Big Data. Beyond the hype, there is a solid base of growing use cases, which are becoming center stage to most businesses. 2012 was the year of awareness. There was a great amount of sharing from the early core developers of the analytic platforms – showing the rest of the world the capabilities of the tools and platforms that had been developed for special purpose high scale analytics. The big names at the core of open source analytics development include Facebook, eBay, Linkedin, Twitter – all blazing the trail with new approaches. These companies brought along with them a new and expanding interest in leveraging the same technologies for commercial interest.
This talk is focused at how a growing number of enterprises that are already heavily invested in the use cases – but by volume, most customers now have some form of big data proof-of-concept underway. These proof of concepts typically start with a thesis of how competitive advantage can be gained through insight from the data. A proof of concept can quickly validate the theory, and helps sell further investment in the analytics platform, and it snowballs from there.
Revolution of Quantum Computing in AI EraPrinceBarpaga
What is a Quantum Computer?
How does a Quantum Computer Work?
How will Quantum Computing revolutionize AI?
Can a Computer think like a human?
These are all the questions that I seek to answer in my presentation which was delivered at York University on 22nd March at Lassonde School of Engineering.
Presentation done and delivered by Prince Barpaga
Big Data & Machine Learning - TDC2013 Sao PauloOCTO Technology
BigData and Machine Learning: Usage and Opportunities for your IT department
Talk presented at The Developer Conference in São Paulo - 12/0713
Mathieu DESPRIEE
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors.
Why this matters:
The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions.
Highlights:
▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain
▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing
▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond
▪ Future of Work: How automation will redefine jobs and economic structures by 2040
With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.
Artificial Intelligence in practice - Gerbert Kaandorp - Codemotion Amsterdam...Codemotion
In this talk Gerbert will give an overview of Artificial Intelligence, outline the current state of the art in research and explain what it takes to actually do an AI project. Using practical cases and tools he will give you insight in the phases of an AI project and explain some of the problems you might encounter along the way and how you might be able to solve them.
Executive SummaryThis report addresses four major concerns that .docxrhetttrevannion
Executive Summary
This report addresses four major concerns that the New York City Council has for its ageing IT infrastructure located at City Hall. After a recent renovation, the cost of project exceeded the planned cost by more than $50 million. This has impacted on their vision of improving the current IT infrastructure. The mayor of New York has approached our firm and has shared some of their concerns they have and have asked us to address the following concerns.
The first concern relates to the New York City council having more than 1000 personal computers (PCs) operating at City Hall throughout the different departments. There is a need to reduce the total amount of PCs across the department to save on energy costs as well as updating the current operating system (OS) to Windows 10. The second concern relates to the current specifications of the PCs in relation to Windows 10 system requirements and whether they can be salvaged and used for the next three years. About half of the current PCs will have to be removed as they will not be able to last for three years. The third concern relates to the security of the OS system, where a recommendation has been requested for the best server operating system. The final concern relates to the best method of securely backing up documentation that can be accessed by all councillors at any time of the day.
This report contains all the recommendations for a new operating system, hardware requirements, a recommendation for a server operating system and the best method to securely share documents. The recommendations that are contained within this report are what we believe will address all the concerns that have been put forth.
i
Table of Contents
Executive Summary i
Introduction 1
Standard Operating Environment 2
Hardware Requirements 3
Server Operating System Security 4
Cloud-Based Services 5
Conclusion 6
References 7
No table of figures entries found.
Introduction
Technology has changed the very way that we interact with each other and how we conduct business. It is a powerful resource that is ever-changing which requires us to constantly evolve on how we harness the technology (Duncan 2011). The Mayor of New York City (NYC) has approached our firm and has asked for assistance in budgeting for new IT equipment in relation to four major concerns over the current state of the IT infrastructure in City Hall. These concerns are the current energy usage of the 1000 personal computers, whether the current PCs meet minimum specification, security implications and secure documentation backup. This report outlines the most suitable operating system for the councils standard operating environment, new and existing hardware requirements, recommended server operating system for optimal security and the recommended cloud-based services for storage. Standard Operating Environment
A standard operating environment (SOE) is the standardisation of the operating system and software application that .
BAT40 NVIDIA Stampfli Künstliche Intelligenz, Roboter und autonome Fahrzeuge ...BATbern
Moderne künstliche Intelligenz mit Deep Learning ist bereits
heute schon im Einsatz in verschiedenen Anwendungen.
Sprachsteuerung von Apple mit Siri, Amazon mit Alexa,
autonome Fahrzeuge von Waymo, Tesla, Gesichtserkennung von Facebook sind nur einige bekannte Beispiele aus dem Silicon Valley welche Deep Learning einsetzen.
Der Vortrag zeigt auf was wir von der Technologie erwarten
können und wie Sie unsere Leben beeinflussen wird.
Sysmech The Zen of Consolidated Network Performance ManagementSystemsMechanics
Andy Stubley, Director of Strategy at SysMech, presentation: "The Zen application: leveraging the latest Real-Time Big Data Capture, Analysis and Visualisation tools to offer end 2 end and cross-domain network views" Simultaneously reducing Opex by consolidating the multiple Network Performance Management systems in complex multi-vendor and multi-technology environments.
Invited talk presented at the Alan Turing Institute Scoping Workshop: Data Protection and Security at Scale, British Library, London, UK, 3 December 2015
Presented at the Fifth International Network Conference (INC 2005), Samos Island, Greece, 6 July 2005
Abstract: Distributed Hash Tables (DHTs) have been used in Peer-to-Peer networks to provide key lookups in typically O(log n) hops whilst requiring maintenance of only small amounts of routing state. We propose ROME, a layer to be run on top of one such DHT to provide control over nodes joining the network. We show this can reduce further the hop counts in networks where available node capacity far exceeds workload, without the need to modify any processes of the underlying DHT protocol.
PDPTA 05 Poster: ROME: Optimising Lookup and Load-Balancing in DHT-Based P2P ...James Salter
Distributed Hash Tables (DHTs) have been used in Peer-to-Peer networks to provide key lookups in typically O(log n) hops whilst requiring maintenance of only small amounts of routing state. We extend ROME, a layer which runs on top of the Chord DHT to provide control over network size through monitoring of node workload and propose the use of processes to reorganise nodes and add or remove them from a pool of available machines. We show this can reduce further the hop counts in networks where available node capacity exceeds workload, without the need to modify any processes of the underlying Chord protocol.
FCS 05: A Multi-Ring Method for Efficient Multi-Dimensional Data Lookup in P2...James Salter
Presented at The 2005 International Conference on Foundations of Computer Science (FCS'05), Monte Carlo Resort, Las Vegas, Nevada, USA, 28 June 2005
Abstract: We describe a multi-ring approach to building multi-tiered P2P networks for efficient lookup of multi-dimensional data, utilising an alternative strategy for building the network overlay designed to reduce the hops required to route lookups and improve fault tolerance by allowing for the selection of high quality nodes with which to build subrings. We provide a case study showing how the method could be used to support 2-dimensional data in the form of keyword-value queries. Our calculations indicate that the presented method yields improvements in the average query hop count while reducing the amount of state stored on each node. The use of Preference Lists can further reduce the average hop count through bypassing previously traversed segments of the structure.
INC 2004: An Efficient Mechanism for Adaptive Resource Discovery in GridsJames Salter
Presented at the Fourth International Network Conference (INC 2004), Plymouth, UK, 6 July 2004. [Winner of Best Paper Award]
Abstract: Computational Grids are designed to bring together collections of resources distributed among diverse physical locations, allowing an individual to exploit a huge amount of computing power, specialist instruments and vast databases. It is essential that an effective method of resource discovery is available for users and software agents to find the resources they require. We present an initial model for resource discovery in Grid environments, designed to remove the need for broadcast of updates and queries across the network. We compare our system with several others in terms of the number of messages needed to query for resources and the ability to guarantee to find matching resources if they exist anywhere in the network.
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11. Making the memory hierarchy obsolete
11
Massive
Memory
Pool
Faster
More cost per bit
Capacity
Flash Accelerator
CPU
registers
L2 cache
L3 cache
Main Memory
SSD
L1 cache
Hard Disk
Network Drive Array
Network Backup
Archive
Processor
Computer
Universal Memory
Network
14. The Machine security framework
14
The first computer with security
built-in from the ground up
Data always protected:
in use, in flight and at rest
Secure boot and firmware
Runtime monitoring
Access control
Low energy encryption
Protect
Giving The Machine the ability to
protect itself, even against
completely unknown threats
Compromised components
Firmware and kernel tampering
Runtime malware monitoring
Monitoring for data leakage
Detect
Always safe, always
recoverable, without sacrificing
performance
Recovery at the firmware layer
OS, application, and data recovery
Systematic recovery at scale with
minimal human intervention
Recover
15. Manageability
15
Manageability for The Machine is
automatic and transparent
Shift from Imperative to Declarative
management
Using the power of The Machine
to manage The Machine
Integrated with security
framework
Actionable management system
User requests an end state and the
system calculates and executes the
details – it just works
Leveraging “unlimited memory”
Performing analytics on its own
system information
17. Machine Learning that can keep up with the now
Training up-to-date deep neural networks in minutes, not weeks
17
Keeping up with
every click, every meme“Tell me the latest news
on the severe weather.”
Contextual ads
Suggested topics
Relevant content
18. Graph analytics time machine
Massive memory and fast fabrics to ingest all data
18
Fast graph databases and
the ability to look at things
that change over time
“Are there any emerging
new behaviors in my
network?”
Critical node
Remote users
External users
19. What if we could pre-compute an almost infinite set of “what ifs”?
Optimization over a large search space in real time becomes realistic
19
Effectively infinite memory
can simulate large scale
probabilities, just like in game
algorithms
Solve complex problems
before they happen