Technology Trends, Disruptions and Opportunities
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The document discusses emerging technology trends and disruptions, emphasizing the role of open source software in driving innovation and collaboration across industries. It highlights various advancements, such as AI, machine learning, IoT, and cloud computing, alongside the potential impacts of technologies like 5G and quantum computing on society and business. The author, Ganesh Raju, outlines the importance of community contributions in open source development and the shifting landscape toward digital transformation.
Technology Trends, Disruptions and Opportunities
- 2. ABOUT Me ● Born in Rajapalayam, Tamil Nadu ● Asst. Manager at Pentafour Multimedia 94-98 ● Moved to USA in 2000 ● Lives in Houston, Texas ● Enterprise Architect at various companies spanning multiple industries (HP, ExxonMobil, Schlumberger, Asurion, KBR, Halliburton, etc) ● Digital Transformation advisor ● TSC (Technical Steering Committee) Lead at ODPi ● Committer to various Apache projects including Hadoop, HBase, Bigtop ● Open Source Advocate ● Expertise in Machine Learning, IoT, Big Data, Cloud ● Linaro since 2015 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 ● Lead ARM ecosystem from IoT to Cloud to Supercomputers and everything in- between Accelerating Open Source
- 5. ● 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 ?
- 6. ● 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 ● 95% of Linaro is remote workforce ● Open source may not give the same support as closed source Use of Open source
- 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 - Foundation of many Apache Bigtop Hortonworks HDP Cloudera CDP IBM Pivotal EMC AWS
- 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
- 12. Strategy difference Intel Strategy ARM Strategy ● Manufacturing Leader ● Dominates PC Market ● High End market ● Mature ● Cisc based ● Leader in Mobile and IoT ● Design IP ● Ecosystem. Many Vendors ● Open Source ● Risc based ● Power efficient
- 14. ● Operations ○ RPA Leading Edge - Current Trends
- 18. ● Operations ○ RPA ○ Microservices Leading Edge - Current Trends
- 19. Microservices
- 20. ● Operations ○ RPA ○ Microservices ○ DevOps & Container Technology (Docker and Kubernetes) Leading Edge - Current Trends
- 22. ● Operations ○ RPA ○ Microservices - DevOps (Docker and Kubernetes) ○ Cloud ● Analytics ○ Big Data - Hadoop, HBase, Cassandra, etc Leading Edge - Current Trends
- 24. ● Operations ○ RPA ○ Microservices - DevOps (Docker and Kubernetes) ○ Cloud ● Analytics ○ Big Data - Hadoop, HBase, Cassandra, etc ○ Data Science - Tensorflow, Pytorch, Keras, Pandas, MxNet, etc ○ Graph Analytics ● Languages ○ Python and Go ○ Webassembly Leading Edge - Current Trends
- 25. ● NLP - Natural Language Processing / Conversational Analytics ○ Object Recognition ■ Text ■ Audio ○ Facial Recognition Cutting Edge
- 26. NLP is a subset of AI Artificial Intelligence Machine Learning Deep Learning
- 28. ● NLP - Natural Language Processing / Conversational Analytics ○ Object Recognition ■ Text ■ Audio ○ Facial Recognition ● Augmented Analytics Cutting Edge
- 29. VR and AR integration with Data Analytics Augmented Reality
- 30. ● NLP - Natural Language Processing / Conversational Analytics ○ Object Recognition ■ Text ■ Audio ○ Facial Recognition ● Augmented Analytics ● HyperAutomation - Everything that can be automated from task based automation to AI Based process automation Cutting Edge
- 31. Hyperautomation
- 32. ● NLP - Natural Language Processing / Conversational Analytics ○ Object Recognition ■ Text ■ Audio ○ Facial Recognition ● Augmented Analytics ● HyperAutomation - Everything that can be automated from task based automation to AI Based process automation ● Edge / IoT Cutting Edge
- 33. ● 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
- 34. ● NLP - Natural Language Processing / Conversational Analytics ○ Object Recognition ■ Text ■ Audio ○ Facial Recognition ● Augmented Analytics ● HyperAutomation - Everything that can be automated from task based automation to AI Based process automation ● Edge / IoT ● Fog Computing Cutting Edge
- 35. Fog Computing - Micro Data centers
- 36. ● NLP - Natural Language Processing / Conversational Analytics ○ Object Recognition ■ Text ■ Audio ○ Facial Recognition ● Augmented Analytics ● 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
- 37. 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
- 39. Hyper Intelligence - New kind of Symbiosis
- 40. ● MIT AlterEgo ● Google Duplex ● Google Deepmind ● IBM Project Debater ● Boston Dynamics ● Elon Musk’s Neurolink AI advancements
- 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
- 44. DIGITAL TRANSFORMATION IS ABOUT INNOVATION NOT OPTIMIZATION Disruptions
- 45. ● 5G ● IoT ● HPC ● Autonomous Everything ● AI Disruption helping the trends
- 46. 5G
- 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
- 48. AI
- 49. Every Industry will be impacted
- 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
- 53. ● https://www.linkedin.com/in/ganeshraju07/ ● Twitter: @ganeshraju ● Email: [email protected] Link to this presentation Resources: ● Gartner ● Chris Benson THANKS! Ganesh Raju Tech Lead, Big Data and Data science Linaro