Nvidia Corporation, more commonly referred to as Nvidia, is an American technology company incorporated in Delaware and based in Santa Clara, California. It designs graphics processing units for the gaming and professional markets, as well as system on a chip units for the mobile computing and automotive market.
This document brings together a set of latest data points and publicly available information relevant for IoT & AR Services Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.
IS-4011, Accelerating Analytics on HADOOP using OpenCL, by Zubin Dowlaty and ...AMD Developer Central
Presentation IS-4011, Accelerating Analytics on HADOOP using OpenCL, by Zubin Dowlaty and Krishnaraj Gharpure at the AMD Developer Summit (APU13) November 11-13, 2013.
Nvidia Corporation, more commonly referred to as Nvidia, is an American technology company incorporated in Delaware and based in Santa Clara, California. It designs graphics processing units for the gaming and professional markets, as well as system on a chip units for the mobile computing and automotive market.
This document brings together a set of latest data points and publicly available information relevant for IoT & AR Services Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.
IS-4011, Accelerating Analytics on HADOOP using OpenCL, by Zubin Dowlaty and ...AMD Developer Central
Presentation IS-4011, Accelerating Analytics on HADOOP using OpenCL, by Zubin Dowlaty and Krishnaraj Gharpure at the AMD Developer Summit (APU13) November 11-13, 2013.
Startup pitch presented by co-founder and CEO Jaco Els. Cubitic offers a predictive analytics platform that allows developers to build custom solutions for analytics and visualisation on top of a machine learning engine.
Building a reliable and scalable IoT platform with MongoDB and HiveMQDominik Obermaier
Today’s Internet of Things (IoT) is enabling companies to blend together the physical and digital worlds, creating new business models and generating insights that increase productivity at once unimaginable levels. However, managing the ever growing volume of heterogeneous IoT data from disparate devices, systems and applications both on premise and in the cloud can be a challenging endeavour without a scalable and reliable IoT platform.
In this webinar, we will explore why and how companies are leveraging HiveMQ and MongoDB to build exactly that: a scalable and reliable IoT platform. Based upon a sample fleet management scenario, we will explain how telematics data can be routed via MQTT and efficiently stored to provide analytics and insights into the data.
Key Learnings
- Common challenges and pitfalls of IoT projects
- Required components for effectively handling data with an IoT platform
- HiveMQ for MQTT to enable bi-directional device communication over unstable networks
- MongoDB as the flexible and scalable modern data platform combining data from different sources and powering your applications
- Why MongoDB and HiveMQ is such a great combination
Talk from @ben_howes, covering a bit about what IoT really means, the numbers behind this '25bn devices by 2020' projection. The second part goes on to talk a bit about how on earth we (humans) design, make and (most importantly) interconnect all these different devices!
Ben suggests that Drupal offers a potential way to allow thousands of PHP developers a play in the internet of things and developing smart interactions between products.
Some problems can only be solved by looking across a complete compute ecosystem. IoT Devices, Mobile Devices, Media Servers Gateways, Cloud Edge Devices.

Vertex perspectives ai optimized chipsets (part i)Yanai Oron
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning.
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
BYOD Revisited: Build Your Own Device (Embedded Linux Conference 2014)Ron Munitz
My session at the Embedded Linux Conference, April 2014, San Jose, CA
Think about the software development routines in the last couple of years. Now think of how they used to be before the "explosion" of cloud services provided by Amazon, Google, Rackspace, Microsoft and the likes.
Even when putting aside distinguished niches such as Safety Critical platforms, and ignoring for the moment the buzz for project management "Agile" methodologies, you will probably notice that the Software Building Practices have completely changed.
You will notice That developing a Software product has become more of an integration effort due to the "explosion" of open source repositories for "high level" components, and that the proficient software developer has become a master of Lego craft.
Now take a look at what Embedded Systems were back at the time, and what it is becoming these days. Not only can one choose their set of components, in ever decreasing prices, sell hardware on kickstarter before even starting a prototype, but one can also replace old times designated HW/SW assembly and libraries, and choose from a variety of Powerful General Purpose Operating Systems that can run servers, desktops, phones, tablets, fitness bracelets, and their next product.
Development has definitely evolved. From mainframes to AWS.
From the V2 analog controller to processing monsters running Linux, Android, Tizen, Windows, FireFoxOS, or your next hand made operating system.
In this session, I am going to present key milestones in the evolution of the Internet of Things, focusing on the present and immediate future techniques for rapidly prototyping and building product stacks, and discuss the many similarities of building a modern Software stack, and a modern Hardware stack.
For Training/Consulting requests: info@thepscg.com
Internet of Things is going to be big. Billions of connected devices and trillions of dollars of the economic value-add in the 2020. The existing enterprises are going to start collecting the enormous volume of data from the myriad of the heterogeneous devices. Data collected by the enterprises will be used to transform these organizations to be more efficient.
What does it mean for an average back-end developer hired in organization willing to adopt to the Internet of Things world? What should the developers know to stay relevant in the 2020? Which part of the existing knowledge and know-how can be reused? What new the developers have to to learn and master to be able to create the IoT-ready systems?
Are you back-end developer? Do you hire or manage developers? Then come, listen to my talk and learn what Internet of Things means for the developers and companies hiring them.
SFO15-100K1: Welcome Keynote: George Grey, Linaro CEOLinaro
SFO15-100K1: Welcome Keynote: George Grey, Linaro CEO
Speaker: George Grey
Date: September 21, 2015
★ Session Summary ★
Welcome Keynote
★ Resources ★
Google Event to Watch Live: https://plus.google.com/u/1/events/c08doi39pdhb5j7p2cro4l1c1c0
Pathable: https://sfo15.pathable.com/meetings/302600
Video: https://www.youtube.com/watch?v=5viiqYeOATI
Etherpad: pad.linaro.org/p/sfo15-100k1
Video on server (if unable to view on YouTube):
Presentation on server (if unable to view on Slideshare): N/A
★ Event Details ★
Linaro Connect San Francisco 2015 - #SFO15
September 21-25, 2015
Hyatt Regency Hotel
http://www.linaro.org
http://connect.linaro.org
Apache Ambari on ARM Server - Linaro ConnectGanesh Raju
Apache Ambari on ARM Server - Linaro Connect. Using Apache Bigtop as Opensource bigdata distro. Installation, deployment, configuration and metrics monitoring of Hadoop, Spark, HBase, Hive
More Related Content
Similar to Technology trends, disruptions and Opportunities
Startup pitch presented by co-founder and CEO Jaco Els. Cubitic offers a predictive analytics platform that allows developers to build custom solutions for analytics and visualisation on top of a machine learning engine.
Building a reliable and scalable IoT platform with MongoDB and HiveMQDominik Obermaier
Today’s Internet of Things (IoT) is enabling companies to blend together the physical and digital worlds, creating new business models and generating insights that increase productivity at once unimaginable levels. However, managing the ever growing volume of heterogeneous IoT data from disparate devices, systems and applications both on premise and in the cloud can be a challenging endeavour without a scalable and reliable IoT platform.
In this webinar, we will explore why and how companies are leveraging HiveMQ and MongoDB to build exactly that: a scalable and reliable IoT platform. Based upon a sample fleet management scenario, we will explain how telematics data can be routed via MQTT and efficiently stored to provide analytics and insights into the data.
Key Learnings
- Common challenges and pitfalls of IoT projects
- Required components for effectively handling data with an IoT platform
- HiveMQ for MQTT to enable bi-directional device communication over unstable networks
- MongoDB as the flexible and scalable modern data platform combining data from different sources and powering your applications
- Why MongoDB and HiveMQ is such a great combination
Talk from @ben_howes, covering a bit about what IoT really means, the numbers behind this '25bn devices by 2020' projection. The second part goes on to talk a bit about how on earth we (humans) design, make and (most importantly) interconnect all these different devices!
Ben suggests that Drupal offers a potential way to allow thousands of PHP developers a play in the internet of things and developing smart interactions between products.
Some problems can only be solved by looking across a complete compute ecosystem. IoT Devices, Mobile Devices, Media Servers Gateways, Cloud Edge Devices.

Vertex perspectives ai optimized chipsets (part i)Yanai Oron
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning.
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
BYOD Revisited: Build Your Own Device (Embedded Linux Conference 2014)Ron Munitz
My session at the Embedded Linux Conference, April 2014, San Jose, CA
Think about the software development routines in the last couple of years. Now think of how they used to be before the "explosion" of cloud services provided by Amazon, Google, Rackspace, Microsoft and the likes.
Even when putting aside distinguished niches such as Safety Critical platforms, and ignoring for the moment the buzz for project management "Agile" methodologies, you will probably notice that the Software Building Practices have completely changed.
You will notice That developing a Software product has become more of an integration effort due to the "explosion" of open source repositories for "high level" components, and that the proficient software developer has become a master of Lego craft.
Now take a look at what Embedded Systems were back at the time, and what it is becoming these days. Not only can one choose their set of components, in ever decreasing prices, sell hardware on kickstarter before even starting a prototype, but one can also replace old times designated HW/SW assembly and libraries, and choose from a variety of Powerful General Purpose Operating Systems that can run servers, desktops, phones, tablets, fitness bracelets, and their next product.
Development has definitely evolved. From mainframes to AWS.
From the V2 analog controller to processing monsters running Linux, Android, Tizen, Windows, FireFoxOS, or your next hand made operating system.
In this session, I am going to present key milestones in the evolution of the Internet of Things, focusing on the present and immediate future techniques for rapidly prototyping and building product stacks, and discuss the many similarities of building a modern Software stack, and a modern Hardware stack.
For Training/Consulting requests: info@thepscg.com
Internet of Things is going to be big. Billions of connected devices and trillions of dollars of the economic value-add in the 2020. The existing enterprises are going to start collecting the enormous volume of data from the myriad of the heterogeneous devices. Data collected by the enterprises will be used to transform these organizations to be more efficient.
What does it mean for an average back-end developer hired in organization willing to adopt to the Internet of Things world? What should the developers know to stay relevant in the 2020? Which part of the existing knowledge and know-how can be reused? What new the developers have to to learn and master to be able to create the IoT-ready systems?
Are you back-end developer? Do you hire or manage developers? Then come, listen to my talk and learn what Internet of Things means for the developers and companies hiring them.
SFO15-100K1: Welcome Keynote: George Grey, Linaro CEOLinaro
SFO15-100K1: Welcome Keynote: George Grey, Linaro CEO
Speaker: George Grey
Date: September 21, 2015
★ Session Summary ★
Welcome Keynote
★ Resources ★
Google Event to Watch Live: https://plus.google.com/u/1/events/c08doi39pdhb5j7p2cro4l1c1c0
Pathable: https://sfo15.pathable.com/meetings/302600
Video: https://www.youtube.com/watch?v=5viiqYeOATI
Etherpad: pad.linaro.org/p/sfo15-100k1
Video on server (if unable to view on YouTube):
Presentation on server (if unable to view on Slideshare): N/A
★ Event Details ★
Linaro Connect San Francisco 2015 - #SFO15
September 21-25, 2015
Hyatt Regency Hotel
http://www.linaro.org
http://connect.linaro.org
Similar to Technology trends, disruptions and Opportunities (20)
Apache Ambari on ARM Server - Linaro ConnectGanesh Raju
Apache Ambari on ARM Server - Linaro Connect. Using Apache Bigtop as Opensource bigdata distro. Installation, deployment, configuration and metrics monitoring of Hadoop, Spark, HBase, Hive
Smart City Big Data Visualization on 96Boards - Linaro Connect Las Vegas 2016Ganesh Raju
Smart City Big Data Visualization on 96Boards - Linaro Connect Las Vegas 2016. ODPi, Big Data, Hadoop, Spark, H2O, Sparkling Water, performance benchmarking on ARM64/AArch64,
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
2. ABOUT
Me
● Enterprise Architect at various companies spanning
multiple industries (HP, ExxonMobil, Schlumberger,
Asurion, KBR, Halliburton, etc)
● Digital Transformation advisor
● Linaro since 2015
● TSC (Technical Steering Committee) Member at ODPi
● Committer to various Apache projects including
Hadoop, HBase, Bigtop
● Open Source Advocate
● Expertise in Machine Learning, IoT, Big Data, Cloud
Ganesh Raju
Tech Lead, Big Data and Data science
Linaro
3. ● Engineering Collaborative Company. Linaro brings together industry and the open
source engineering community to collaboratively develop software.
● Linaro was founded in 2010 by Arm, IBM, and SOC vendors like Samsung, Freescale
Semiconductor, ST-Ericsson, Texas Instruments
● Linaro members include companies like: ARM, Google, Huawei / Hi-Silicon, Facebook,
Qualcomm, Fujitsu, Marvell, NXP, Comcast, Red Hat, Sandia National Laboratories,
Socionext, XILINX, Comcast, Texas Instruments, Samsung, ST
● Top 5 contributor to Linux Kernel
● Participate in IoT, Autonomous Cars, to Cloud to Supercomputers and everything
in-between
Accelerating Open Source
4. ● Code is open
● Collaborative development
● Open Source Development has two models
○ Cathedral Model: Source code is available with each software release
○ Bazaar Model: Code is developed over the internet in view of the public
● Any kind of help beneficial for the Open Source is called Contribution
● Open source is karma based. The more you contribute the more your voice is heard in
the community
● Open Source is Not always Free Software. Open Source have a license to share the
code - GPL and LGPL
What is Open source ?
5. ● How many times you have heard that a proprietary software was hacked and millions
of credit card data and user data was leaked ?
● Corporates can now get benefit of free contributions from the public
● Open source could be fundamental block for many proprietary softwares
● Millions of developers make full time living on open source.
● Companies look for top contributors and hire them (Of course, top pay ! )
● 95% of Linaro is remote workforce
● Open source may not give the same support as closed source
Use of Open source
6.
7. ● Linux is Open Source
● Android is Open Source
● Github, GitLab are repositories of all open source code
● Single company can not compete with the speed of development
● 99% of Fortune 500 companies use Open Source
● Over 140 million open source projects are in Github. In the 50 million had been added
just last year
● Over 40 million developers in just Github
● Red Hat was first company to build successful business model on open source
● Even Hardware designs are now open source. Refer: OCP
Rise of Open Source
8. Open Source monetization
Open Source Code
(Commercial license)
Closed Source
Proprietary code
Open source code
Closed source
Proprietary code
+ =
9. ● Collaborate with Big Data and Data Science software vendors, ARM hardware vendors
(Qualcomm, Huawei, Marvell, ARM, etc) and the open source community
● Prioritize work based on industry wants, community requirement and software and
hardware vendor requirements
● Lead (Maintainer) of various open source projects.
● As a side effect, i also get to test pre-production hardware from various vendors from
Supercomputers to data center hardware to IoT devices
Getting paid to do Open Source ?
10. Proprietary Software Open source Alternative
Windows Linux
IOS Android
Safari, Microsoft Edge Firefox
Microsoft Word, Excel, Powerpoint LibreOffice, OpenOffice
Windows Outlook Thunderbird
Adobe Photoshop GIMP
Adobe Premiere OpenShot, Handbrake
AutoCAD FreeCAD
11. Getting Started in Open Source
● Apache Projects
● Linux Foundation Projects
22. ● Operations
○ RPA
○ Microservices - DevOps (Docker and Kubernetes)
○ Cloud
● Analytics
○ Big Data - Hadoop, HBase, Cassandra, etc
Leading Edge - Current Trends
23. ● Operations
○ RPA
○ Microservices - DevOps (Docker and Kubernetes)
○ Cloud
● Analytics
○ Big Data - Hadoop, HBase, Cassandra, etc
● Languages
○ Python and Go
○ Webassembly
Leading Edge - Current Trends
29. ● NLP - Natural Language Processing / Conversational Analytics
● Data Science - Tensorflow, Pytorch, Keras, Pandas, MxNet, etc
● HyperAutomation - Everything that can be automated from task based
automation to AI Based process automation
Cutting Edge
31. ● NLP - Natural Language Processing / Conversational Analytics
● Data Science - Tensorflow, Pytorch, Keras, Pandas, MxNet, etc
● HyperAutomation - Everything that can be automated from task based
automation to AI Based process automation
● Edge / IoT
Cutting Edge
32. ● By end of 2020, some 50 billion smart devices will be
connected, along with additional billions of smart sensors,
ensuring that the global supply of data will continue to
more than double every two years.
● Through 2028, Gartner expects a steady increase in the
embedding of sensor, storage, compute and advanced AI
capabilities in edge devices. Mesh architectures will
enable more flexible, intelligent and responsive, and
peer-to-peer IoT systems.
Edge / IoT
33. ● NLP - Natural Language Processing / Conversational Analytics
● Data Science - Tensorflow, Pytorch, Keras, Pandas, MxNet, etc
● HyperAutomation - Everything that can be automated from task based
automation to AI Based process automation
● Edge / IoT
● Fog Computing
Cutting Edge
35. ● NLP - Natural Language Processing / Conversational Analytics
● Data Science - Tensorflow, Pytorch, Keras, Pandas, MxNet, etc
● HyperAutomation - Everything that can be automated from task based
automation to AI Based process automation
● Edge / IoT
● Fog Computing
● HPC - High Performance Computing / Supercomputers
● AI Security
Cutting Edge
36. HPC are not commonly available to enterprises and in cloud
HPC with Custom built CPUs, GPUs, Accelerators (TPUs) are changing the datacenter (cloud)
HPC has a learning curve (filesystem, architecture)
HPCs are best suited for AI and analytical work
HPC + AI
38. ● Everything AI First
● Human Augmentation - Human + AI
○ Hyper Intelligence - New kind of symbiosis for Enhancement of human
cognitive and physical capabilities and capacity
○ Multi experience - The ability to communicate with users across many
senses
○ Symbiotic with AI - Brain and computer interface / extensions
● Quantum Computing
Bleeding Edge
40. ● MIT AlterEgo
● Google Duplex
● Google Deepmind
● IBM Project Debater
● Boston Dynamics
● Elon Musk’s Neurolink
AI advancements
41.
42. IBM and Google have already built Quantum Computers
Quantum computers uses Qubits instead of bits
Quantum computing will NOT replace current computing
technology
Google announced that its quantum computer will be 100
million times faster than any classical computer
Quantum Computing
43. ● Publishers
● Newspapers
● Magazines
● Travel Agents
● Bank Tellers
● GPS
● Radio
● Taxi Drivers
● Telecommunications
● Retailers
● Underwriters / Brokers
Dying Industries
Anything that
can be
automated will
be automated
47. ● Will fundamentally change the society as we know it
● Growth in data
● No of connected devices
● Much higher data rates
● Increase in battery life
● Software defined - means it can be sliced and diced and more fine grained
control
● Everything will be connected.
● Smart cities
● Key is AI at various levels
● Higher data rate and faster communication
5G
51. Ai Revolution
THE COGNITIVE REVOLUTION,
AGRICULTURAL REVOLUTION,
INDUSTRIAL REVOLUTION,
DIGITAL REVOLUTION,
AND NOW THE AI REVOLUTION
ALL CHANGE THE FABRIC OF
SOCIETY AS WE KNOW IT
SOCIAL, CULTURAL, ECONOMIC
52. ● Open Source
● Digital Revolution
○ Leading Edge: NLP, Microservices, Containers, Big Data, Data science
○ IoT
○ 5G
○ HPC
● AI Revolution
Recap
Where do you want to place yourself ?
Leading Edge or Cutting Edge or Bleeding Edge
53. Emerging Technology Trends (Right now) -
From LinkedIn
In India
1. Blockchain Developer
2. Artificial Intelligence Specialist
3. JavaScript Developer
4. Robotic Process Automation (RPA) Consultant
5. Back-end Developer
In USA
1. Artificial Intelligence Specialist
2. Robotic Process Automation (RPA) Consultant
3. Data Scientist
4. Full Stack Engineer
5. Big Data Engineer
https://business.linkedin.com/talent-solutions/emerging-jobs-report#view-report
54. ● https://www.linkedin.com/in/ganeshraju07/
● Twitter: @ganeshraju
● Email: ganeshraju@gmail.com
Link to this presentation: https://bit.ly/2Vo7HUf
Resources:
● Gartner
● Chris Benson
THANKS!
Ganesh Raju
Tech Lead, Big Data and Data science
Linaro