Intel AI Enterprise Meetup - Bengaluru (Invite-Only)
About the Event
Intel Vision Accelerator Design Products work by offloading AI inference workloads to purpose-built accelerator cards that feature either an array of Intel Movidius Vision Processing Units, or a high-performance Intel Arria 10 FPGA.
Deep learning inference accelerators scale to the needs of businesses using Intel Vision solutions, whether they are adopting deep learning AI applications in the data center, in on premise servers or inside edge devices.
With the OpenVINO toolkit, developers can easily extend their investment in deep learning inference applications on Intel CPUs and integrated GPUs to these new accelerator designs, saving time and money.
This session primarily focus on Vision Accelerators introduction, optimizing the AI inference workloads using HDDL-L/R products and ISV case studies.
About Intel AI Course
Do you have a real-world problem that you want to solve using AI? Whether you are an experienced data scientist or new to the field, this course takes a hands-on approach in helping you understand the data science workflow, how to use Intel’s AI portfolio of processors and optimized software and apply them to the challenge you are facing. The course uses an enterprise image classification problem and provides lectures for each stage in the process accompanied by Jupyter* notebooks that walk you through the implementation.
Upon completion, you have the option to receive an Intel® AI Course Completion Certificate**
Please go through the coursehere.
Topics include:
- An overview of Intel’s AI portfolio with an emphasis on solving deep learning problems
- Dataset preparation for model consumption – including preprocessing and data augmentation techniques
- Decision metrics for choosing a framework and network (topology)
- How to train and deploy deep learning models using the Intel AI portfolio
By the end of this course, you will have practical knowledge of:
- Preparing a dataset for model consumption
- Training a deep learning model using TensorFlow* with Intel optimizations
- Deploying on the CPU, Integrated Graphics and Intel® Neural Compute Stick 2 (Intel® NCS2) using the Intel® Distribution of OpenVINO™ Toolkit
Agenda
09:00 AM : | Registrations |
09:30 AM : | Welcome Note & Introduction by Analytics Vidhya |
09:45 AM : | Keynote by Intel- Kavita Aroor, Head Developer Marketing APJ, for the Intel Architecture Graphics and Software, DRS |
10:15 AM : |
Evolution of Artificial Intelligence in NLPby Vishnu Subramanian
|
11:00 AM : | Tea Break |
11:15 AM : | Presentation and Demo by Premchander Rao- “AI Inference using Movidius based Vision Accelerator Products” |
12:15 PM : |
AI Builder Program case study by Manoj Shinde |
12:45 PM : | Intel Innovator success story- Anuj Duggal |
01:15 PM : | Open for Q&A & networking, followed by lunch |
Rules of Participation :
- There is no participation fees for this meetup.
- This is an invite only meetup.
- To express your interest for participating, you will be required to fill in your details while registering
- Shortlisted participants will receive an email confirmation to attend the meetup.
- Your details given at the time of registration will be shared with Intel to sendfuture promotional/marketing emails.
Speakers :
Kavita Aroor
Head Developer Marketing APJ, for the Intel Architecture Graphics and Software, DRS
Kavita Aroor, in her current role focuses on developing the software solutions market across Asia Pacific by working with key software companies and software developers. She drives the developer outreach, engagements and programs in the areas of AI, IoT , VR and Game Development.
Kavita holds a vast experience in Brand & Field Marketing and have driven numerous customer and user engagement across Asia Pacific. In her role she networks and interacts with the community to address right programs and initiatives to help build the Developer community and share dynamic content that helps Developers to learn and come up with innovative solutions and projects through Intel Architecture. She has been in the Marketing fraternity since nearly 17 years and have worked on varied business offerings both B2C & B2B and have helped organizations to build a strong community. She holds a Bachelor’s Degree in B.Com and an (MBA) Master’s Degree in Marketing and IT from IFIM Bengaluru. She is active on LinkedIn and twitter and you can connect and reach out to her on…
Twitter- @kavitaaroor
Mr. Premchander Rao
APJ Staff Lead, IoT & Smart Video
Prem has over 16+ years of experience in development of embedded software for mobile and multimedia system on chip (SOC). Currently working as APJ Staff Lead for IoT and Smart Video. From last 8 years of his work at Intel®, He has been part of the APAC Mobile/Tablet, Real sense application enabling and Emerging Markets Client Enabling activities as Technology lead and most recently as Engineering Manager for IOT Enabling team and he was responsible for working with Key Independent Software Vendors (ISV) in APAC and help them enable their solutions for Intel® architecture devices.
Prem holds a Master of Eng. in Electrical and Electronics Engineering from PSG College of Technology.
Prem enjoys travel with his Family and loves Photography and he is an avid reader.
Vishnu Subramanian
Chief Technology Officer at SmartNomad
Vishnu Subramanian is the Chief Technology Officer at SmartNomad. He was previously the Principal Data scientist at Affine and is the author of the “Deep learning using PyTorch” book. He has experience in leading, architecting and implementing several Big Data analytical projects (AI, ML and Deep Learning). He recently achieved the 21st position in the TGS Salt Identification challenge on Kaggle.
Manoj Shinde
Founder at Orbo.ai
Consummate Business Leader, Speaker and ardent, Boston Patriots fan with 18 years of global experience who loves sharing his insights & experience in Innovation, Computer Vision, Artificial Intelligence, and Design Thinking.
Manoj helped Adidas, Reebok, Quiksilver very early on to adopt digital and business transformation. His proudest moment came when his small innovation lab at Adidas turned into an enterprise-wide Innovation program.
Millions in P&L responsibility never deterred him from bringing back the human side at work. He mentored, encouraged many and built ever-lasting employee friends who’ve reported to him across multi-continents. He considers his network as real professional wealth.
Manoj is now a founder ofOrbo.ai, a computer vision and a deep learning startup that’s bringing AI-based automation to the imaging world.
Anuj Duggal
Innovation Program Manager - Corporate Affairs, Intel India
Anuj loves technology that helps people ideate and build something real – be it code, design or hardware. Being an Engineer, he has a self-starter attitude and desire to go an extra mile in anything that inspires him. He’s passionate to give back to community and keen to engage in strategies to empower the broader ecosystem. Being a techie, he also bring in learnings and skills to engage with makers, tech enthusiasts, innovators, developer communities and start-up ecosystems.
In his previous role, he has worked on a Public Private Partnership with Government of India as Innovation Program Manager at Corporate Affairs Group, enabling youth to innovate on multiple Intel platforms. He have a strong handle on driving developer engagement, working with communities, academia, Government and non-Government agencies.
He has also worked with Google where he managed the India outreach of Google Launchpad program to empower startups, by mentoring them to build and scale successfully on Google platforms. He evangelized and mentored 25 cream-of-the-crop startups on Google technologies to improve their products on technology and design. Prior to joining Google he worked for Intel as a Graphic Software Engineer and built display device drivers for Android devices.
He is recognized as an Intel Software Innovator for his key contributions towards developer communities in the Android and IOT space, supporting SSG with Intel IoT Roadshows, and enabling 5000+ developers globally.”
Location
CoWrks Salarpuria Arena, 5th Floor, Hosur Rd, Koramangala, Bengaluru, Karnataka 560030
Google Maps link: https://goo.gl/maps/WcDbU4mZLeyemSbGA
Participate in Discussion
Registration Details
Total registered
Number of teams
Know where you stand
Spaces You Can Join
Frequently Asked Questions
Find the answers for the most frequently asked questions
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Depending on the type of competition, you can participate individually or in a team.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Please login/signup to participate in the discussion
0/1000