If you’re a budding entrepreneur still fresh to the startup scene, then the world can be a rather scary place. If you are unsure of what technologies you can use or if you need some help with your tech, then WSO2 may have just what you’re looking for. Meet Hatchery.
No, there are no turtles (teenage, mutant, ninjas, or otherwise) involved. Hatchery is all about WSO2 giving back to the community. Think of it as a novel way for WSO2 to share their expertise with you.
For starters, according to WSO2, you, the startup would be given access to their CTO-as-a-service program. This essentially enables you to consult with them on a daily basis as if they were your own Chief Technology Officer.
A standard program from Hatchery would be around three months in duration. It also gives access to their open source platform. If you have a problem related to your startup, then some of WSO2’s most intelligent minds are at your disposal to tell you what you need to do to get it working.
There are a couple of conditions in order to be a part of this. First and foremost, your startup is required to have less than LKR400,000 in monthly revenue (the lower, the better). Secondly, the problem that you have identified in your startup must make use of some part of WSO2’s free, open source middleware platform, be it a simple user login or an API. Given how diverse the platform actually is, this should not be too much of a problem.
After an initial evaluation, selected startups will be invited to a Hatchery event (again, no turtles included yet). There, you will have the opportunity to have a face to face meeting with one of the companies’ solution architects and elaborate on the problems that your startup is facing. Mind you, you are actually getting one WSO2 solution architect, one of the best that WSO2 has to offer, as your CTO, for three months. The CTO can be met via numerous private consultations. This is certainly no time to be fooling around. You only have three months to solve your issues.
At the end of a three-month period your startup will be reevaluated to see if you require further support.
Well, according to WSO2, absolutely nothing. They are not asking for financial gains or equity. All they want to do is to help startups who can use some part of their middleware platform. If you do end up using their platform, it’s all the better for you as there’s there’s no platform lock-in involved.
In case you’re wondering, all ideas that you come up with are completely yours. In fact, WSO2 will actually have a legal agreement in place that makes sure both parties involved are protected. They are also very open about the idea behind Hatchery. In fact, they encourage you to talk about the platform and anything related to it on social media.
The deadline for signing up for The Hatchery is October 20, 2016. The Initial Hatchery event wil take place on November 5, 2016.
If you wish to sign up, you can do so by clicking here.
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What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa LAN Challenge 2018 is happening.
Semi-Finals of the internal tournament will take place on the 22nd and 23rd of January 2018 at Virtusa premises.
january 22 (Monday) - 23 (Tuesday)
Virtusa Pvt. Ltd. 752, Dr Danister De Silva Mawatha, Colombo 09
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use
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Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
Feel free to contact us for any inquiries
uditha bandara – 0716092918
All Day (Wednesday)
ANC education ,310 R A De Mel Mw, Colombo 03 00300
Blue Chip Training0716092918
Startup Weekend is a global phenomenon - 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships
Startup Weekend is a global phenomenon – 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships with co-founders; mentors, and investors.
The real value comes from taking an idea from concept through to execution using Lean tactics and working under high pressure with the best startups.
26 (Friday) 5:00 pm - 28 (Sunday) 8:00 pm
Oak Ray Regency Kandy
Oak Ray Regency Kandy, No 9, Devani Rajasinghe Mawatha,, 20000 Kandy