February 25, 2014 at 13:11Conference program "Al & BigData Lab" and "Just Sell IT! Effective IT sales »
The educational project GeeksLab continues to work on events and today we will talk about conferences to be held in March in Odessa, as well as talk about upcoming events and hackathons.
March 5 - Al & BigData Lab .
The AI & BigData Lab conference will be dedicated to one of the most popular and discussed IT topics - big data and artificial intelligence.
The main purpose of the event is to exchange experience among developers on a topic that many are interested in now, community associations for more effective development of projects, as well as the creation and promotion of big data and artificial intelligence solutions in Ukraine. We also plan to lay the foundations for creating an AI-club in the Odessa region (as was done in Kiev and Kharkov) to support and develop this area in the region.
March 12 - Just Sell IT! Effective IT sales .
It's no secret that the secret of a successful startup and a profitable outsourcing company is not only in the technical implementation of the project, but also in the art of negotiation, effective email marketing, the ability to find an approach and interest in both domestic and domestic products and / or services. foreign customer. There will be two flows - for startups and for companies with an established sales system (we will pay a lot of attention to outsourcing).
“Natural Language Processing in Practice” (Vsevolod Demkin, Grammarly)
Natural Language Processing is an area at the intersection of practical software engineering and computer science (algorithms, machine learning and statistics). It includes many different tasks and, accordingly, approaches and methods for solving them.
The key to the success of any NLP project is quality data, so first of all we’ll talk about where to get it and how to work with it.
Next are various models and algorithms. We will briefly review the main tools (from Bayes' theorem to deep neural networks) that are used in NLP and discuss under which conditions which are preferable.
Unlike conventional software engineering, in NLP, most of the time and effort is not spent on writing a program, but on experimenting. This is a specific kind of activity that requires its own approaches - and we will discuss them.
Finally, we will see how to assemble all this into a single whole and get a finished product using the publicly available data as an example of solving a problem from the real world.
“Data Mining and Information Retrieval: Problems, Algorithms, Solutions” (Alexander Krakovetsky, DevRain Solutions)
Every day we use search engines - Google, Bing, Yandex and others. Modern search engines give fairly accurate results, but, nevertheless, are not without drawbacks. At a time when the amount of information increases exponentially every year, even small improvements in the operation of search engines can significantly reduce the entire collection, analysis and retrieval of information, as well as save users time.
The report will discuss the problems of information retrieval - duplicate information, a huge amount of information garbage, a lot of time to search for "non-trivial" data.
The report will not be devoted to any specific field of Data Mining or the algorithm, but will concern several areas from the field of Text Mining, clustering, NLP, SEO at once to solve a specific problem - reducing the search time for the necessary information. In addition, you will learn how the services a la Readability work, and how they can improve search algorithms.
“DeepLearning: Complex Data Analysis in Simple Words” (Sergey Shelpuk, SoftServe)
The amount of data is growing at a tremendous pace, and humanity does not have enough resources to label and process this data before analysis. In this regard, algorithms working with unmarked data (unsupervisedlearning) come out on top in terms of potential for practical use. Deeplearning neural networks is one of the most powerful unlabeled data analysis algorithms to date. Based on the concept of the brain and the idea of a unified teaching algorithm, this approach shows the best results on a wide range of data analysis problems: analysis of video, images, sound, text and others.
Creating deeplearning neural networks requires an intuitive understanding of the principles of their work, as well as large computing power. GPU parallel computing is one way to get this power. Training deeplearning neural networks on the GPU is by far the most efficient and cheapest way to work with them.
This report will be devoted to explaining how deeplearning networks work in simple words, algorithmic techniques to make this training effective, and technological tools to build networks in the fastest and cheapest way.
“Interesting work for every day: AI in ordinary corporate applications” (Alexander Slipchenko, Intranel Ltd)
The report focuses on how AI and ML can find application in askcomin-rich enterprise applications and even breathe new life into them. Consider the entire life cycle of the task: from a general idea (which does not necessarily “sound like AI”), through a formal statement of the problem, several iterations of prototyping - to implementation and launch. BizCrowd.com, commissioned by Royal Bank of Scotland, will act as an experimental rabbit. Formally, the most difficult task of text data classification, being squeezed into the framework of a project with a fixed budget and deadline, can both become a source of headache and bring a lot of interesting discoveries.
In addition, we will talk about how to set the task so that you do not have to re-design the bike; how to configure the algorithm and where to get data for this while you do not have users (and, accordingly, data); what to do if the source material is poor; SOLR how to convince the customer that life after the release is just beginning.
“What is data visualization, or why should data professionals be a bit of an artist” (Vladimir Timashov, DataArt)
For centuries, humanity has accumulated information, and Big Data has increased the amount of useful information in millions of times. The raw data itself is useless, and we constantly have the problem of presenting this data to the end user, seeing trends and key points. And here data visualization comes to the rescue, in capable hands it is able to transform the data and present it in a favorable light.
In the report, we will go through the different stages of visualization. Let's look at approaches to the visual presentation of information. We will touch upon technical solutions available today for custom development (d3.js, Raphael, Three.js), and ready-made Enterprise products (Tableau, QlikView). Let's look at the use of visualization in real projects - made both in DataArt and by world leaders in this field.
“AI & BigData for travelers” (Kuznetsov Yuri, Senturia)
The practice of working with big data in an online service. Tasks of a modern travel agency. Overview of approaches to organizing a service system. The perspectives of machine learning in the industry.
“Methods of parallelization and efficient computing in the R language” (Vladislav Kolbasin, Aginity)
Overview of techniques, methods and packages that allow efficiently performing calculations, as well as parallelizing the execution of R code:
- Standard functions and techniques for the correct use of R.
- Package data.table: features, syntax, usage examples.
- An overview of packages for data analysis and machine learning that can work in parallel.
“Structural Equation Modeling in R environment” (Alexey Gayevsky).
Modeling by structural equations. Browse packages for structural equation modeling. Lavaan package: features, syntax. Practical application: building models, fine tuning model parameters, processing missing values.
Two workshops will be held:
“Recognizing human movements using R” (Nikolay Pavlov)
You will learn the basics of data analysis and machine learning, predicting a person’s state using data from a smartphone.
Content:
What to bring with you? A laptop, preferably with a pre-installed R: www.r-project.org and R-Studio: www.rstudio.com
“Processing unstructured large data in the cloud using Hadoop” (Igor Chubin)
In the field of processing unstructured or weakly structured large data A group of methods, united by the so-called * MapReduce * paradigm *, which describes how data should be processed so that the processing procedure can scale well, is currently popular.
The most famous and widespread software that implements the MapReduce paradigm is Hadoop, a software ecosystem built around this paradigm.
During the master class, the MapReduce paradigm and the principles underlying it will be examined in detail, and Hadoop, as one of its most popular and developed implementations.
In the practical part of the master class, the main attention will be paid to the main elements of the Hadoop ecosystem: HDFS; MapReduce applications other important elements of the ecosystem: Pig, Hive and several others.
During the master class, the initial setup of the Hadoop cluster will be performed and a number of operations will be performed to process a large data array.
The master class will be practical.
For a full participation in it, you must have a laptop.
As a carrier of computing resources, the Windows Azure cloud will be used.
Gold Sponsor: Microsoft.
You can register and find out all the details about the reports and the event on the website at geekslab.co/events/bigdatalab .
“About the start of sales in a startup. Where to look for the first customers ”(Dmitry Tkachenko)
What do your potential customers want and how to find out? When to start selling? Where to look for the first buyers and what should they promise? What are the most effective sales tools for promoting new products / services?
"" Just be you! " Be yourself. Effective sales of services and a personal factor "(Denis Seleznev)
How is it to be yourself, selling software in the American and domestic markets? How does the internal state affect sales? And an additional Sex Sells strategy.
“A startup is in the pre-product-market fit phase: you still need to sell yourself, but not to customers yet” (Konstantin Shtondenko)
“How I applied the experience of information business in sales of IT services. Experience of cooperation in the city and national club of IT companies ”(Pavel Obod)
Infobusiness - MLM or“ a real way to make money ”. Experience with LandingPage, Email marketing, white papers, webinar in the service business. Joint lead generation in the framework of cooperation with other companies. SoftSource platform presentation: order exchange and resource utilization.
“B2B sales of IT services” (Vadim Rogovsky)
Comparative characteristics of online and offline sales methods using the example of Сlicky. Specialized IT conferences and exhibitions as one of the methods of offline sales.
“Sales in B2B startup” (Nikiyara Purmambetova)
The whole truth about early adapters and finding clients. Why it is important to think over correspondence, and carefully prepares for presentations. Who is a decision maker? And what can Sun Tzu's Art of War help with a meeting with Coca Cola?
“Building Effective Marketing and Sales in a Startup” (Denis Dovgopoli)
Why do startups break up large corporations? Why is marketing for successful startups low budget and efficient compared to enterprise? How to build effective marketing in a startup? Why not be afraid of large corporations and how to beat them on their own field?
“How do you see outsourcing in the minds of the crimson ocean to Ukraine in Ukraine?” (Natalia Stoyanovich)
With a stretch of five rockies Kuadriga virosla from two to a hundred people, like 25 countries with Denmark, Nimechchini and Niderland. In 2013, we sold Kuadrig to one of our competitors, Siklum. To save you such a quick rist, we had a lot of need to split the model of sales and sales pitch, as well as of other competitors in India, in Russia and all of them. I am ready to share my own indirect sales on the markets of Denmark and Nimechchini, which will help us to increase our knowledge base and our basic knowledge of the growth of international knowledge. And for dessert, I dulled at the main pardons, because they didn’t allow us to promote the growth.
“What does it mean to be a customer-oriented company and whether a startup needs to know about it” (Yulia Fedorenko)
Habits and weaknesses are a modern approach to creating the right product. What approaches and tools can be applied in sales.
“Telephone sales: to whom and how to call, and most importantly - what to sell?” (Anastasia Novikova)
Why do many cold calls not work? What to sell during a call? How can I embed calls in multi-step sales? I will talk about several cases where the calls were part of the project, what results brought and what lessons can be learned from this.
“Automation of the software sales process” (Maxim Miroshnichenko)
“Thorns to the Stars” in the automation of the software sales process at the first stage of existence. How to build a sales department and what is the main problem in customer service. What needs to be done today for the number of sales.
“Email Marketing in Startups” (Vera Zvereva) A
fresh look at business correspondence. 2014 trends. Business newsletters in sales, business development and press relations today. Practice planning and conducting successful email outreach campaigns. An overview of the latest techniques and tools to increase returns in business newsletters.
“Working on a subcontract with Digital Agency, how to find, hook and secure yourself with orders for years” (Baida Valeria).
A small IT company sooner or later comes to the realization: a stable stream of orders is what will allow the company to grow and grow, raise rates, choose customers, and make money. How to organize this flow? Exchange - require daily routine work. Your sales? - additional and considerable expenses without any guarantees. Work through recommendations? - unpredictable. Work with Digital Agency. I’ll tell you about one of the options for an inexpensive, effective, predictable flow of orders to your company.
You can register and find out all the details about the reports and the event on the website at geekslab.co/events/itsaleslab .
April 18 - MobileLab - a conference on a technical conference dedicated to mobile technologies and the development of iOS / Android / WP8 applications.
April 19-20 - GeeksLab mobile hackathon.
May 17-18 - DesignLab - a conference dedicated to web design, usability, infographics and other design IT-directions.
July 20-27 - Odessa Innovation Week 2014- A week of innovative technologies in Odessa. Over the course of 7 days, the participants will find a number of interesting events, in which specialists in the field of web technologies: developers, designers, project managers, marketers, discuss various professional topics, startups with experience will demonstrate their projects and receive feedback from mentors and coaches, and Beginning entrepreneurs will have the opportunity to create their startup in 54 hours under the strict guidance of domestic and foreign mentors, as well as make new acquaintances, find partners, and, of course, have a good rest on the banks of Cher th sea.
Conference programs MobileLab, DesignLab and Odessa Innovation Week are in the process of formation. To become a speaker, you must submit an application by sending the topic of the report and its brief description to Dmitry Spodarts at m31@rootuamedia.com or via Skype m31-rootua.
We invite partners and sponsors for cooperation.
You can stay up to date like this:
All reports and presentations from conferences will be available on YouTube and Slideshare .
March 5 - Al & BigData Lab . The AI & BigData Lab conference will be dedicated to one of the most popular and discussed IT topics - big data and artificial intelligence.
The main purpose of the event is to exchange experience among developers on a topic that many are interested in now, community associations for more effective development of projects, as well as the creation and promotion of big data and artificial intelligence solutions in Ukraine. We also plan to lay the foundations for creating an AI-club in the Odessa region (as was done in Kiev and Kharkov) to support and develop this area in the region.
March 12 - Just Sell IT! Effective IT sales .It's no secret that the secret of a successful startup and a profitable outsourcing company is not only in the technical implementation of the project, but also in the art of negotiation, effective email marketing, the ability to find an approach and interest in both domestic and domestic products and / or services. foreign customer. There will be two flows - for startups and for companies with an established sales system (we will pay a lot of attention to outsourcing).
The following reports will be presented at the Al & BigData Lab conference :
“Natural Language Processing in Practice” (Vsevolod Demkin, Grammarly)
Natural Language Processing is an area at the intersection of practical software engineering and computer science (algorithms, machine learning and statistics). It includes many different tasks and, accordingly, approaches and methods for solving them.
The key to the success of any NLP project is quality data, so first of all we’ll talk about where to get it and how to work with it.
Next are various models and algorithms. We will briefly review the main tools (from Bayes' theorem to deep neural networks) that are used in NLP and discuss under which conditions which are preferable.
Unlike conventional software engineering, in NLP, most of the time and effort is not spent on writing a program, but on experimenting. This is a specific kind of activity that requires its own approaches - and we will discuss them.
Finally, we will see how to assemble all this into a single whole and get a finished product using the publicly available data as an example of solving a problem from the real world.
“Data Mining and Information Retrieval: Problems, Algorithms, Solutions” (Alexander Krakovetsky, DevRain Solutions)
Every day we use search engines - Google, Bing, Yandex and others. Modern search engines give fairly accurate results, but, nevertheless, are not without drawbacks. At a time when the amount of information increases exponentially every year, even small improvements in the operation of search engines can significantly reduce the entire collection, analysis and retrieval of information, as well as save users time.
The report will discuss the problems of information retrieval - duplicate information, a huge amount of information garbage, a lot of time to search for "non-trivial" data.
The report will not be devoted to any specific field of Data Mining or the algorithm, but will concern several areas from the field of Text Mining, clustering, NLP, SEO at once to solve a specific problem - reducing the search time for the necessary information. In addition, you will learn how the services a la Readability work, and how they can improve search algorithms.
“DeepLearning: Complex Data Analysis in Simple Words” (Sergey Shelpuk, SoftServe)
The amount of data is growing at a tremendous pace, and humanity does not have enough resources to label and process this data before analysis. In this regard, algorithms working with unmarked data (unsupervisedlearning) come out on top in terms of potential for practical use. Deeplearning neural networks is one of the most powerful unlabeled data analysis algorithms to date. Based on the concept of the brain and the idea of a unified teaching algorithm, this approach shows the best results on a wide range of data analysis problems: analysis of video, images, sound, text and others.
Creating deeplearning neural networks requires an intuitive understanding of the principles of their work, as well as large computing power. GPU parallel computing is one way to get this power. Training deeplearning neural networks on the GPU is by far the most efficient and cheapest way to work with them.
This report will be devoted to explaining how deeplearning networks work in simple words, algorithmic techniques to make this training effective, and technological tools to build networks in the fastest and cheapest way.
“Interesting work for every day: AI in ordinary corporate applications” (Alexander Slipchenko, Intranel Ltd)
The report focuses on how AI and ML can find application in askcomin-rich enterprise applications and even breathe new life into them. Consider the entire life cycle of the task: from a general idea (which does not necessarily “sound like AI”), through a formal statement of the problem, several iterations of prototyping - to implementation and launch. BizCrowd.com, commissioned by Royal Bank of Scotland, will act as an experimental rabbit. Formally, the most difficult task of text data classification, being squeezed into the framework of a project with a fixed budget and deadline, can both become a source of headache and bring a lot of interesting discoveries.
In addition, we will talk about how to set the task so that you do not have to re-design the bike; how to configure the algorithm and where to get data for this while you do not have users (and, accordingly, data); what to do if the source material is poor; SOLR how to convince the customer that life after the release is just beginning.
“What is data visualization, or why should data professionals be a bit of an artist” (Vladimir Timashov, DataArt)
For centuries, humanity has accumulated information, and Big Data has increased the amount of useful information in millions of times. The raw data itself is useless, and we constantly have the problem of presenting this data to the end user, seeing trends and key points. And here data visualization comes to the rescue, in capable hands it is able to transform the data and present it in a favorable light.
In the report, we will go through the different stages of visualization. Let's look at approaches to the visual presentation of information. We will touch upon technical solutions available today for custom development (d3.js, Raphael, Three.js), and ready-made Enterprise products (Tableau, QlikView). Let's look at the use of visualization in real projects - made both in DataArt and by world leaders in this field.
“AI & BigData for travelers” (Kuznetsov Yuri, Senturia)
The practice of working with big data in an online service. Tasks of a modern travel agency. Overview of approaches to organizing a service system. The perspectives of machine learning in the industry.
“Methods of parallelization and efficient computing in the R language” (Vladislav Kolbasin, Aginity)
Overview of techniques, methods and packages that allow efficiently performing calculations, as well as parallelizing the execution of R code:
- Standard functions and techniques for the correct use of R.
- Package data.table: features, syntax, usage examples.
- An overview of packages for data analysis and machine learning that can work in parallel.
“Structural Equation Modeling in R environment” (Alexey Gayevsky).
Modeling by structural equations. Browse packages for structural equation modeling. Lavaan package: features, syntax. Practical application: building models, fine tuning model parameters, processing missing values.
Two workshops will be held:
“Recognizing human movements using R” (Nikolay Pavlov)
You will learn the basics of data analysis and machine learning, predicting a person’s state using data from a smartphone.
Content:
- Install R and R-Studio
- Study design
- Data preparation
- Modeling using neural networks, decision forests, and support vector methods
- Tuning Hyper Parameters
- Model Diagnostics
What to bring with you? A laptop, preferably with a pre-installed R: www.r-project.org and R-Studio: www.rstudio.com
“Processing unstructured large data in the cloud using Hadoop” (Igor Chubin)
In the field of processing unstructured or weakly structured large data A group of methods, united by the so-called * MapReduce * paradigm *, which describes how data should be processed so that the processing procedure can scale well, is currently popular.
The most famous and widespread software that implements the MapReduce paradigm is Hadoop, a software ecosystem built around this paradigm.
During the master class, the MapReduce paradigm and the principles underlying it will be examined in detail, and Hadoop, as one of its most popular and developed implementations.
In the practical part of the master class, the main attention will be paid to the main elements of the Hadoop ecosystem: HDFS; MapReduce applications other important elements of the ecosystem: Pig, Hive and several others.
During the master class, the initial setup of the Hadoop cluster will be performed and a number of operations will be performed to process a large data array.
The master class will be practical.
For a full participation in it, you must have a laptop.
As a carrier of computing resources, the Windows Azure cloud will be used.
Gold Sponsor: Microsoft.
You can register and find out all the details about the reports and the event on the website at geekslab.co/events/bigdatalab .
At Just Sell IT! Effective IT sales will feature the following reports:
“About the start of sales in a startup. Where to look for the first customers ”(Dmitry Tkachenko)
What do your potential customers want and how to find out? When to start selling? Where to look for the first buyers and what should they promise? What are the most effective sales tools for promoting new products / services?
"" Just be you! " Be yourself. Effective sales of services and a personal factor "(Denis Seleznev)
How is it to be yourself, selling software in the American and domestic markets? How does the internal state affect sales? And an additional Sex Sells strategy.
“A startup is in the pre-product-market fit phase: you still need to sell yourself, but not to customers yet” (Konstantin Shtondenko)
“How I applied the experience of information business in sales of IT services. Experience of cooperation in the city and national club of IT companies ”(Pavel Obod)
Infobusiness - MLM or“ a real way to make money ”. Experience with LandingPage, Email marketing, white papers, webinar in the service business. Joint lead generation in the framework of cooperation with other companies. SoftSource platform presentation: order exchange and resource utilization.
“B2B sales of IT services” (Vadim Rogovsky)
Comparative characteristics of online and offline sales methods using the example of Сlicky. Specialized IT conferences and exhibitions as one of the methods of offline sales.
“Sales in B2B startup” (Nikiyara Purmambetova)
The whole truth about early adapters and finding clients. Why it is important to think over correspondence, and carefully prepares for presentations. Who is a decision maker? And what can Sun Tzu's Art of War help with a meeting with Coca Cola?
“Building Effective Marketing and Sales in a Startup” (Denis Dovgopoli)
Why do startups break up large corporations? Why is marketing for successful startups low budget and efficient compared to enterprise? How to build effective marketing in a startup? Why not be afraid of large corporations and how to beat them on their own field?
“How do you see outsourcing in the minds of the crimson ocean to Ukraine in Ukraine?” (Natalia Stoyanovich)
With a stretch of five rockies Kuadriga virosla from two to a hundred people, like 25 countries with Denmark, Nimechchini and Niderland. In 2013, we sold Kuadrig to one of our competitors, Siklum. To save you such a quick rist, we had a lot of need to split the model of sales and sales pitch, as well as of other competitors in India, in Russia and all of them. I am ready to share my own indirect sales on the markets of Denmark and Nimechchini, which will help us to increase our knowledge base and our basic knowledge of the growth of international knowledge. And for dessert, I dulled at the main pardons, because they didn’t allow us to promote the growth.
“What does it mean to be a customer-oriented company and whether a startup needs to know about it” (Yulia Fedorenko)
Habits and weaknesses are a modern approach to creating the right product. What approaches and tools can be applied in sales.
“Telephone sales: to whom and how to call, and most importantly - what to sell?” (Anastasia Novikova)
Why do many cold calls not work? What to sell during a call? How can I embed calls in multi-step sales? I will talk about several cases where the calls were part of the project, what results brought and what lessons can be learned from this.
“Automation of the software sales process” (Maxim Miroshnichenko)
“Thorns to the Stars” in the automation of the software sales process at the first stage of existence. How to build a sales department and what is the main problem in customer service. What needs to be done today for the number of sales.
“Email Marketing in Startups” (Vera Zvereva) A
fresh look at business correspondence. 2014 trends. Business newsletters in sales, business development and press relations today. Practice planning and conducting successful email outreach campaigns. An overview of the latest techniques and tools to increase returns in business newsletters.
“Working on a subcontract with Digital Agency, how to find, hook and secure yourself with orders for years” (Baida Valeria).
A small IT company sooner or later comes to the realization: a stable stream of orders is what will allow the company to grow and grow, raise rates, choose customers, and make money. How to organize this flow? Exchange - require daily routine work. Your sales? - additional and considerable expenses without any guarantees. Work through recommendations? - unpredictable. Work with Digital Agency. I’ll tell you about one of the options for an inexpensive, effective, predictable flow of orders to your company.
You can register and find out all the details about the reports and the event on the website at geekslab.co/events/itsaleslab .
Ahead of us are waiting for:
April 18 - MobileLab - a conference on a technical conference dedicated to mobile technologies and the development of iOS / Android / WP8 applications.
April 19-20 - GeeksLab mobile hackathon.
May 17-18 - DesignLab - a conference dedicated to web design, usability, infographics and other design IT-directions.
July 20-27 - Odessa Innovation Week 2014- A week of innovative technologies in Odessa. Over the course of 7 days, the participants will find a number of interesting events, in which specialists in the field of web technologies: developers, designers, project managers, marketers, discuss various professional topics, startups with experience will demonstrate their projects and receive feedback from mentors and coaches, and Beginning entrepreneurs will have the opportunity to create their startup in 54 hours under the strict guidance of domestic and foreign mentors, as well as make new acquaintances, find partners, and, of course, have a good rest on the banks of Cher th sea.
Conference programs MobileLab, DesignLab and Odessa Innovation Week are in the process of formation. To become a speaker, you must submit an application by sending the topic of the report and its brief description to Dmitry Spodarts at m31@rootuamedia.com or via Skype m31-rootua.
We invite partners and sponsors for cooperation.
You can stay up to date like this:
- Like us on Facebook- www.facebook.com/GeeksLab.co
- Join a group on Linkedin - www.linkedin.com/groups?gid=7430607
- Follow on Twitter- twitter.com/geeks_labs
- We even have VK - vk.com/geeks_lab
All reports and presentations from conferences will be available on YouTube and Slideshare .