Emerging Technology trends and employability skills
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This deck was used for presenting to engineering students of AU College of Engineering
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Emerging Technology trends and employability skills
- 1. Iceberg, Right Ahead!!! being Future Ready Gopi Krishna Nuti Lead Data Scientist Autodesk Construction Solutions gopi.nuti@autodesk.com Alumnus, AU College of Engineering 1998-2002 ngopikrishna.public@gmail.com +91-9036005121
- 2. Do you recognize these quotes? “Houston, we have a problem.” "Bond. James Bond." "I'll be back." “Iceberg!!! Right Ahead!!!”
- 3. Iceberg! Right Ahead! (Image: © Shutterstock)
- 4. You cannot become what you need to be By remaining what you are. –-- Max de Pree
- 5. Expectations
- 7. How to identify Emerging Technologies?
- 12. Hype Cycle Risk is high during the Peak & Trough stages. Risk is low during Slope and Very Low during the plateau. BUT there is no more gold mine.
- 13. Where can we learn these? Internet, of course!!!
- 14. Free Resources EdX NPTEL Tutorials Point Coursera Lots and lots of MOOCs. Training material is growing exponentially
- 15. Soft skills Reading makes a full man; Conference a ready man; and writing an exact man. --- Sir Francis Bacon Full – Does not mean “complete”. It is the opposite of “Empty” Conference – means Conversation
- 16. Where can I gain these? Internet, of course??? NO. of course, not!!!
- 17. How to gain these Seminars Soft skills
- 18. Why do I need these? Simply put, to gain a USP. A reason for the recruiter to choose you instead of your classmate.
- 19. Why do I need these? • Put yourselves in the shoes of the recruiter and look at your own profile objectively. • No emotional statements • No hypocrisy • Aim for the stars. You might land on the moon.
- 21. Easy-to-learn-yet-high-return topics Data Science, AI/ML Cloud Computing Edge Analytics GPU accelerators – Both Programming and Hardware Augmented Reality/ Virtual Reality Robotic Process Automation Robotics Arduino, Raspberry Pi, NVIDIA Jetson Micro controllers Internet of Things Communication Protocols 3G, 4G, 5G, Bluetooth Mobile app development Web development
- 24. Gartner’s AI Hype Cycle for 2020
- 25. Growth areas
- 26. Newer Domains Traditional - Market Research, Finance, Engineering, Education, Medicine, Astronomy New Domains Robotic Process Automation Warfare and Defence - Drones, Quadcopters Cyber security – Filtering content, identifying attack vectors, Threat exposure, incident response etc. Media and Entertainment - Deep fakes, GANs, Deep Nostalgia Advertising and Marketing- Mass Customization Hybrid Workforce Sub disciplines ML Ops
- 27. AI Market places A multi-sided-platform where AI providers and sellers can exchange services. NB: Seller is not the Cloud provider!!! Clever blend of PaaS & SaaS. Can be thought of as Algorithm as a Service Build an AI algorithm for a specific use case. Sell it for a license on top of cloud Services. Examples AWS Marketplace Azure Marketplace
- 28. AI Marketplace examples Demonstration of the Mask Detector for Epidemiological Safety by Vitech Lab. Picture courtesy Sandro Luck Demonstration of the Vehicle Damage Inspection developed by Persistent on Amazon Market Place
- 29. Anything is game AI models Datasets Data pipeline management ML Ops AI Marketplace examples GluonCV YOLOv3 Object Detector By: Amazon Web Services YOLOv3 is a powerful network for fast and accurate object detection, powered by GluonCV. Emotion Analysis API Sold by:Twinword Inc. Deep Vision API Sold by:Deep Vision AI, Inc Deep Vision API is a computer vision platform allowing you to easily integrate AI-based technology into your products, services and applications. You can automatically understand and analyze images and videos.Pay directly from your AWS account, quick and seamless integration with your AWS workflow.
- 30. AI Services Commoditization Image courtesy : Gartner.com
- 31. ML algorithms are run on the hardware device/sensor itself. This is in direct contrast to cloud/server based processing of data. Processing of data happens close to the user. Can be on IoT senser or dedicated Edge Server Benefits Latency time is reduced my many orders of magnitude CapEx and OpEx costs are reduced significantly Increased data privacy and security Examples Alexa, Google Assistant, Self driving cars Edge AI Camera from Avinton, VIA Mobile360 Dash Cam Edge AI
- 32. Originally thought of as unrelated/competing technologies Now complementing one another Robotic Process Automation uses specially developed programs to automate repeatable business processes. There is no learning. Repeats the same set of actions every time. Great for automating simple tasks. Typically, suitable for structured data For complex tasks, AI comes handy because Learns from data/past Handles unstructured data Robotic Process Automation and AI
- 33. Specialized hardware to accelerate the processing of AI algorithms particularly, Deep Neural Networks GPUs Nvidia, Intel Vision Processing Units Intel Neural Computing Stick, Qualcomm Snapdragon Tensor Processing Units FPGAs and ASICs Special Purpose programming languages CUDA, OpenCL OpenVino Kit from Intel, SNPE SDK from Qualcomm GPU Accelerators
- 34. Good Luck