• Docker Meetup Series 01/02

    Wavelabs

    Docker Meetup Series: 1) Docker Beginner friendly Meetup - Part 01/02 - 24/Aug 2) Container Orchestration - Kubernetes on IBM Cloud - Part 02/02 - 31/Aug Following are the topics we discuss in this first meetup - Docker Overview - Using Docker images and containers on your machine - Building a Docker Image - Running Docker image on your machine - Building a Docker image on IBM Cloud. Prerequisites to attend: 1. Install IBM Cloud tools (console.bluemix.net/docs/cli/index.html#downloads) 2. Install Docker (docker.com (Download and install Docker community edition)) 3. Install Kubernetes tools (optional) (kubernetes.io/docs/tasks/tools/install-kubectl/ )

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  • Building Voice Agent with IBM Watson in 2 hours

    Agenda: - Introduction to Machine Learning & NLP - Introduction to Chatbot - Explore IBM Cloud and Watson Assistant service - Building a restaurant chatbot - Explore Text to Speech and Speech to Text service - Getting started with IBM Voice agent with Watson Service - Creating and configuring sample restaurant Voice agent. Note: Please bring in laptops

    7
  • Building a Recommendation Engine - Powered by IBM Cloud

    "Build a Recommendation Engine – Powered by IBM Cloud “ Recommendation systems are one of the most common applications of big data and machine learning. There are many ways to build a recommendation system. Generally, it uses both the implicit and explicit data to build the Model but it has its own challenges like some of the rating information does not have upper bound and is continuous. For example , purchase data. In this workshop, we will discuss about the algorithms and the optimization technique behind building a Recommendation Engine. Also, the specific quality metrics will be discussed. Using a Purchase data, we will build a recommendation system to predict the top 10 items for the new users. As a developer, we will understand the challenges with the dataset , need to create a new product Ranking based on the frequency of purchase, normalization to bring it to uniform scale and fitting it with Popularity model as baseline. Agenda: 9:30AM – 10:00AM: Recommendation Engine and its Algorithms 10:00AM – 10:15AM: Model Build Environment – IBM Cloud 10:15AM – 10:45AM: How to measure the quality of Recommendation Engine 10:45AM – 11:00AM: Predict Top 10 items – CF & ALS based Recommendation Engine – Demo 11:00AM – 11:15AM: Break 11:15 – 12:15AM: Improve the accuracy of the Recommendation Engine – Hands on 12:15 – 12:30: Q & A, Networking Pre-req:  Access to IBM cloud  Understanding of Python language Speaker: Rajesh Jeypaul Rajesh K Jeyapaul has been a technical leader and a solution Architect for key transformational Developer Advocacy initiatives and also leading the study of distributed deep learning performance Engineering. In previous assignments, he has led development projects on JVM/OS, Cloud and led various enterprise migration assignment as well. He started his career with Indian Defense Research Organisation as Research Fellow. He has co-authored various redbooks on performance engineering, have few patents to his credit as well.

    31
  • Call for Code Hack

    Wavelabs

    8:30 AM – 9:30 AM – Registration 9:30 AM – 9:40 AM – Keynote 9:40 AM – 10:00 AM – Call for Code Presentation 10:00 AM – 11:00 AM - Technical Session on IBM Cloud, AI, Data and Walk through of Code Pattern 11:00 AM – 11:30 AM – Coffee and Team formation 11:30 AM – 12:30 PM – Ideation 12:30 PM – 1:00 PM – Lunch 1:00 PM – 4:30 PM – Hackathon 4:30 PM – 5:30 PM – Evaluation 5:30 PM – 6:00 PM – Winner Announcement and distribution of certificates to Winners and participants Note: Lunch will be provided. For more details about call for code callforcode.org

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  • Predictive Analytics for Retail Banking

    DBS ASIA HUB 2

    Agenda: Overview of Banking Introduction to Retail Banking Basic Concepts of Finance Analytical Applications in Retail Banking Introduction to IBM Watson Studio Predictive Modeling with Python (Hands-on) Speaker : Mr. P Mohan, Sr. Data Scientist Mr. Abhishek, ML Engineer **Bring your laptop with fully charged for Hands-on**

    4
  • IBM Blockchain Platform 2.0 - Part 2

    91Springboard

    Agenda: 9.00 AM to 9.30 PM - Recap of Part 1 session 9.30 AM to 12.30 PM - Hands on Workshop of a use case/code pattern using IBM Blockchain Platform 2.0 - Build the network - Build Smart Contract - Build client application - Invoke the transactions through client application onto network 12.30 PM to 1.00 PM - Networking

    14
  • IBM Blockchain Platform 2.0 - Part 1

    91Springboard

    Agenda: 9 AM to 10.30 AM - Recap of Hyperledger Fabric Network and Components - Endorsement Policy - Transaction Flow - Transaction processing models - Order-Execute model - Order-Execute-Validate model - Transactional Properties 10.45 AM to 12.45 PM - Introduction to IBM Blockchain Platform 2.0 - Build the fabric network on IBM Blockchain Platform 2.0 - Build and install a smart contract onto fabric network - Create external client and connect to the fabric network - Invoke the smart contract and submit the transaction onto fabric network 12.45 PM to 1 PM - Networking

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  • Building AI use cases with IBM Power AI Vision

    91Springboard

    IBM PowerAI Vision is a video and image analysis platform that is build for IBM Power systems servers. PowerAI Vision uses GPUs to optimise performance PowerAI Vision includes tools and interfaces for anyone with limited skills in deep learning technologies. You can use PowerAI Vision to easily label images and videos that can be used to train and validate a model. Agenda: AI Usecases in Industries - Automative and Transportation - Manufacturing - Oil and Gas - Utilities Introduction to IBM PowerAI platform How to install and work with Power AI Getting started with Power AI Vision - Create Dataset - Train Model - Deploy to Web API - Integrate API to Application IBM PowerAI Vision live demo IBM PowerAI Vision enterprise offerings Hands-on: IBM Code Pattern - Detect, Track, Count cars in a Video

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  • AI for Enterprise

    Verizon India

    Agenda: 5:00 PM - 5:30 PM - Registrations Talk 1: 5:30 PM - 6:00 PM Title: AI - An optimization problem "Ways to accelerate model training using distributed Environment" Abstract: AI evolution is supported by the growth of the compute environment like GPU. This helps in supporting the 200 year old mathematical algorithm to be well utilized by AI. In this talk, we will understand AI as an optimization problem using the ML , DL and Recommendation Engine scenario and how Distributed environment helps in improving the efficiency of the training duration. Speaker: Rajesh K Jeyapaul has been a technical leader and a solution Architect for key transformational Developer Advocacy initiatives and also leading the study of distributed deep learning performance Engineering. In previous assignments, he has led development projects on JVM/OS, Cloud and led various enterprise migration assignment as well. He started his career with Indian Defence Research Organisation as Research Fellow. He has co-authored various redbooks on performance engineering, have few patents to his credit as well. Talk 2: 6:00 PM - 6:30 PM Title: Approach to Computer Vision Abstract: AI Vision built on cognitive infrastructure is a new generation of video/image analysis platforms which offers built-in deep learning models that learn to analyse images and video streams for classification and object detection. Vision focus on industry real time trends and helps solving neural problems of Object Detection, image captioning, action classification and video labelling. Speakers: Ratna Prasad Bandaru working on PowerAI technologies in IBM Cognitive portfolio with expertise on data science, artificial intelligence, cloud technologies and secure engineering having 15 years of IT experience currently working with IBM software labs. Durga Rao Simhadri working on PowerAI Vision product in IBM Cognitive portfolio. Had expertise on deep learning algorithms, vision technologies and cloud technologies having 15 years of IT experience and currently working with IBM software labs. Talk 3: 6:30 PM - 7:00 PM Title: Voice of Customer Analytics Speakers: Prashi Mittal and Goutham Chikoti Talk 4: 7:00 PM - 7:20 PM Title: Generative Adversarial Networks Speaker: Dr. M Vara Prasad Note: 1) Don't bring laptops (for security reason) 2) Carry govt proof (Aadhar/Driving Licence) 3) Be at venue by 5:00 for registration 4) Registrations will happen in 7th floor and event will happen on 6th floor. Therefore first report at 7th floor.

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  • IBM Developer Day

    Требуется местоположение

    Please find more details in below link and registration is mandate in the same link. http://developerday.electronicsforu.com/ Note: Registering to this meetup group here is not sufficient you also need to complete registration in above link