Conference 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 that will be held in Odessa in March, and also talk about upcoming events and hackathons.
March 5 - Al & BigData Lab .
The AI ​​& BigData Lab conference will be devoted to one of the most popular and discussed IT topics - big data and artificial intelligence.
The main purpose of the event is the exchange of experience among developers on a topic that many are now interested in, community associations for more efficient development of projects, as well as the creation and promotion of big data solutions and artificial intelligence in Ukraine. We also plan to lay the foundations for the creation of 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 both 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 with its product and / or service both domestic and foreign customer. There will be two streams - for startups and for companies with an established sales system (we will pay a lot of attention to outsourcing).
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“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 their solution.
The key factor in the success of any NLP project is qualitative data, so first of all we will talk about where to get them and how to work with it.
Next come various models and algorithms. We will briefly review the main tools (from the Bayes theorem to deep neural networks) that are used in NLP and discuss in what conditions which are preferable.
Unlike conventional software engineering, in NLP most of the time and effort is spent not on writing a program, but on experiments. This is a specific type of activity that requires its own approaches - and we will discuss them.
Finally, we will look at how to collect all this into a single whole and get the finished product using the real world as an example of solving a problem using publicly available data.
“Data mining and information search: problems, algorithms, solutions” (Alexander Krakovetsky, DevRain Solutions)
Every day we use search engines - Google, Bing, Yandex and others. Modern search engines provide fairly accurate results, but, nevertheless, are not without flaws. At a time when the amount of information increases exponentially every year, even small improvements in the work of search engines can significantly reduce all information gathering, analysis and search, as well as save users time.
The report will discuss the problems of information retrieval - duplicate information, a huge amount of informational garbage, a lot of time searching for “non-trivial” data.
The report will not be devoted to any specific Data Mining area or algorithm, but will concern several areas from the Text Mining, clustering, NLP, SEO areas at once to solve a specific task - reducing the time for searching for the necessary information. In addition, you will learn how the services a la Readability, 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 that work with unmarked data (unsupervisedlearning), come out on top of the potential for practical application. Deeplearning neural networks is one of the most powerful algorithms for analyzing unmarked data 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 large range of data analysis problems: video, image, sound, text and others.
Creation of deeplearning neural networks requires an intuitive understanding of the principles of their work, as well as large computing power. Parallel computing on a GPU is one of the ways to get these powers. Learning deeplearning neural networks on a GPU is by far the most efficient and cheapest way to work with them.
This report will be devoted to explaining the principles of deeplearning networks in simple words, algorithmic techniques that make this training effective, and technological tools that allow you to build networks in the fastest and cheapest way.
“An interesting job for every day: AI in ordinary corporate applications” (Alexander Slipchenko, Intranel Ltd)
The report is devoted to how AI and ML can find application in corporate applications that have written the ascomin and even breathe new life into them. Consider the entire life cycle of the task: from the general idea (which does not necessarily “sound like AI”), through the formal formulation of the problem, several iterations of prototyping - to implementation and launch. The guinea pig will be BizCrowd.com, designed for the Royal Bank of Scotland. Formally, the most difficult task of classifying text data, being squeezed into the framework of a project with a fixed budget and time limit, can both become a source of headache and bring many interesting discoveries.
In addition, we will talk about how to set the task so that it does not have to re-design the bike; How to set up an algorithm and where to get data for this while you do not have users (and, accordingly, data); what to do if the source material leaves much to be desired; SOLR; How to convince the customer that life after release is just beginning.
“What is data visualization, or why specialists working with data should be slightly artists” (Vladimir Timashov, DataArt)
For centuries, mankind has been accumulating information, and Big Data has increased millions of times of useful information. The raw data itself is useless, and we constantly have a problem to present this data to the end user, to see trends and key points. And here we can come to the aid of data visualization, which in capable hands can transform the data and present it in a favorable light.
In the report we will go over different stages of visualization. Let's look at approaches to the visual presentation of information. We will touch on 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 in DataArt, and world leaders in this field.
“AI & BigData for travelers” (Yuri Kuznetsov, Senturia)
The practice of working with big data in the online service. Tasks of a modern travel agency. Overview of approaches to the organization of the system of services. Perspectives of machine learning in the industry.
"Methods of parallelization and efficient computations in the R language" (Vladislav Kolbasin, Aginity)
Overview of techniques, methods and packages to effectively perform calculations, as well as parallelize the execution of R code:
- Standard features and techniques for proper use of R.
- Package data.table: features, syntax, examples of use.
- Review packages for data analysis and machine learning, able to work in parallel mode.
“Structural Equation Modeling Modeling in the R Environment” (Alexey Gaevsky).
Structural equation modeling. Overview of structural equation modeling packages. Package lavaan: features, syntax. Practical application: building models, fine-tuning model parameters, processing missing values.
Two workshops will be held:
"We recognize the movement of a person using R" (Nikolai Pavlov)
You will get acquainted with the basics of data anilization and machine learning, predicting the human condition from data from a smartphone.
Content:
What to take with you? Laptop, preferably with 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, the group of methods currently used by the so-called * MapReduce * paradigm, which describes how data should be processed, is so popular, so that the processing procedure can be well scaled.
The most well-known 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 its underlying principles, and Hadoop, will be examined in detail as one of its most popular and advanced 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 performed on processing a large amount of data.
The master class will be practical.
To fully participate in it requires a laptop.
The Windows Azure cloud will be used as a carrier of computing resources.
Gold Sponsor: Microsoft.
You can register and get all the details about the reports and the event on the website at: geekslab.co/events/bigdatalab .
“On the start of sales in a startup. Where to look for first customers ”(Dmitry Tkachenko)
What does your potential buyers want and how to find out? When to start selling? Where to look for the first buyers and what they promise? What sales tools are most effective in promoting new products / services?
"Just be you!" Be yourself. Effective sales of services and the personal factor "(Denis Seleznev)
How is it - to be yourself, selling software on the American and domestic markets? How does the internal state on sales? And an additional strategy "Sex Sells".
“Start-up on the stage up to product-market fit: you still need to sell yourself, but not clients yet” (Konstantin Shtondenko)
“How I applied the experience of infobusiness in sales of IT services. Experience of cooperation in the city and national club of IT companies ”(Pavel Obod)
Infobusiness - MLM or the "real way to earn." Experience of using LandingPage, Email marketing, white papers, webinar in the service business. Joint lead generation in cooperation with other companies. Presentation of the SoftSource site: exchange of orders and utilization of resources.
"B2B sales of IT-services" (Vadim Rogovsky)
Comparative characteristics of online and offline sales methods on the example of the company Clicky. Profile IT conferences and exhibitions as one of the methods of offline sales.
“Sales in a B2B startup” (Nikiyar Purmambetov)
The whole truth about early adapters and finding customers. Why it is important to think through the correspondence, and carefully preparing for presentations. Who is the decision maker? And how Sun Tzu's “Art of War” can help when meeting with Coca Cola.
“Building the effect of marketing and sales in a startup” (Denis Dovgopoliy)
Why do startups tear up large corporations? Why is marketing in successful startups low budget and effective compared to the 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?
“Yak vision in the minds of the crimson ocean to outsourcing in Ukraine?” (Natalia Stoyanovich)
In the name of Quadriga virosla from two to one hundred people, they yielded from 25 keys from Danes, Nimechchini and Netherlandsland. In 2013, they sold one to our competitors, Siklumu, for Quadruga. Scot of security, such a direct growth, we need to develop a model of sales and sales pitch; I am ready to join my own business of indirect sales in the markets of Daniia and Nimechchini, who gave us a chance to grow a base of knowledge and ideas about the growth of the promising agricultural earthly industries. And for dessert, I zupinyus on the main shabby, yakŃ– did not allow us to prodzhzhiti zrostannya.
“What does it mean to be a customer-oriented company and does a startup need to know about it” (Yulia Fedorenko)
Habits and weaknesses - a modern approach to creating the right product. What approaches and tools can be applied in sales.
“Sales by phone: to whom and how to call, and most importantly - what to sell?” (Anastasia Novikova)
Why do many cold calls do not work? What to really 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)
“About thorns to the stars” in automating the software sales process in the first stage of its existence. How to build a sales department and what is the main problem in customer service. What you need to do today for Ngo amount of sales.
“Email Marketing in Startups” (Vera Zvereva)
A fresh look at business correspondence. Trends 2014. Business newsletters in sales, business development and press relationships today. Practice planning and conducting successful email outreach campaigns. Overview of the latest techniques and tools to improve the impact on business ezines.
“Working as 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 steady stream of orders is what will allow a company to grow and grow, raise rates, choose customers, and niche. How to organize this stream? Exchange? - require everyday 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, efficient, predictable flow of orders to your company.
You can register and get all the details about the reports and the event on the website: geekslab.co/events/itsaleslab .
April 18 - MobileLab - conference on technical conference dedicated to mobile technologies and the development of iOS / Android / WP8 applications.
April 19-20 - mobile hackathon GeeksLab.
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. During 7 days, the participants will have a number of interesting events, in which experts in the field of web technologies: developers, designers, project managers, marketing specialists will discuss various professional topics, start-ups with experience will demonstrate their projects and receive feedback from mentors and coaches, and start-up entrepreneurs will have the opportunity to create their start-up 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 Cher bank th sea.
Conference programs MobileLab, DesignLab and Odessa Innovation Week are in the formative stage. 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 on Skype m31-rootua.
We invite to cooperate partners and sponsors.
You can stay up to date as follows:
All reports and presentations from conferences can be viewed on YouTube and Slideshare .
March 5 - Al & BigData Lab .The AI ​​& BigData Lab conference will be devoted to one of the most popular and discussed IT topics - big data and artificial intelligence.
The main purpose of the event is the exchange of experience among developers on a topic that many are now interested in, community associations for more efficient development of projects, as well as the creation and promotion of big data solutions and artificial intelligence in Ukraine. We also plan to lay the foundations for the creation of 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 both 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 with its product and / or service both domestic and foreign customer. There will be two streams - for startups and for companies with an established sales system (we will pay a lot of attention to outsourcing).
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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 their solution.
The key factor in the success of any NLP project is qualitative data, so first of all we will talk about where to get them and how to work with it.
Next come various models and algorithms. We will briefly review the main tools (from the Bayes theorem to deep neural networks) that are used in NLP and discuss in what conditions which are preferable.
Unlike conventional software engineering, in NLP most of the time and effort is spent not on writing a program, but on experiments. This is a specific type of activity that requires its own approaches - and we will discuss them.
Finally, we will look at how to collect all this into a single whole and get the finished product using the real world as an example of solving a problem using publicly available data.
“Data mining and information search: problems, algorithms, solutions” (Alexander Krakovetsky, DevRain Solutions)
Every day we use search engines - Google, Bing, Yandex and others. Modern search engines provide fairly accurate results, but, nevertheless, are not without flaws. At a time when the amount of information increases exponentially every year, even small improvements in the work of search engines can significantly reduce all information gathering, analysis and search, as well as save users time.
The report will discuss the problems of information retrieval - duplicate information, a huge amount of informational garbage, a lot of time searching for “non-trivial” data.
The report will not be devoted to any specific Data Mining area or algorithm, but will concern several areas from the Text Mining, clustering, NLP, SEO areas at once to solve a specific task - reducing the time for searching for the necessary information. In addition, you will learn how the services a la Readability, 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 that work with unmarked data (unsupervisedlearning), come out on top of the potential for practical application. Deeplearning neural networks is one of the most powerful algorithms for analyzing unmarked data 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 large range of data analysis problems: video, image, sound, text and others.
Creation of deeplearning neural networks requires an intuitive understanding of the principles of their work, as well as large computing power. Parallel computing on a GPU is one of the ways to get these powers. Learning deeplearning neural networks on a GPU is by far the most efficient and cheapest way to work with them.
This report will be devoted to explaining the principles of deeplearning networks in simple words, algorithmic techniques that make this training effective, and technological tools that allow you to build networks in the fastest and cheapest way.
“An interesting job for every day: AI in ordinary corporate applications” (Alexander Slipchenko, Intranel Ltd)
The report is devoted to how AI and ML can find application in corporate applications that have written the ascomin and even breathe new life into them. Consider the entire life cycle of the task: from the general idea (which does not necessarily “sound like AI”), through the formal formulation of the problem, several iterations of prototyping - to implementation and launch. The guinea pig will be BizCrowd.com, designed for the Royal Bank of Scotland. Formally, the most difficult task of classifying text data, being squeezed into the framework of a project with a fixed budget and time limit, can both become a source of headache and bring many interesting discoveries.
In addition, we will talk about how to set the task so that it does not have to re-design the bike; How to set up an algorithm and where to get data for this while you do not have users (and, accordingly, data); what to do if the source material leaves much to be desired; SOLR; How to convince the customer that life after release is just beginning.
“What is data visualization, or why specialists working with data should be slightly artists” (Vladimir Timashov, DataArt)
For centuries, mankind has been accumulating information, and Big Data has increased millions of times of useful information. The raw data itself is useless, and we constantly have a problem to present this data to the end user, to see trends and key points. And here we can come to the aid of data visualization, which in capable hands can transform the data and present it in a favorable light.
In the report we will go over different stages of visualization. Let's look at approaches to the visual presentation of information. We will touch on 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 in DataArt, and world leaders in this field.
“AI & BigData for travelers” (Yuri Kuznetsov, Senturia)
The practice of working with big data in the online service. Tasks of a modern travel agency. Overview of approaches to the organization of the system of services. Perspectives of machine learning in the industry.
"Methods of parallelization and efficient computations in the R language" (Vladislav Kolbasin, Aginity)
Overview of techniques, methods and packages to effectively perform calculations, as well as parallelize the execution of R code:
- Standard features and techniques for proper use of R.
- Package data.table: features, syntax, examples of use.
- Review packages for data analysis and machine learning, able to work in parallel mode.
“Structural Equation Modeling Modeling in the R Environment” (Alexey Gaevsky).
Structural equation modeling. Overview of structural equation modeling packages. Package lavaan: features, syntax. Practical application: building models, fine-tuning model parameters, processing missing values.
Two workshops will be held:
"We recognize the movement of a person using R" (Nikolai Pavlov)
You will get acquainted with the basics of data anilization and machine learning, predicting the human condition from data from a smartphone.
Content:
- Installing R and R-Studio
- Study design
- Data preparation
- Modeling using neural networks, decision forests and support vector machine
- Tuning hyperparameters
- Diagnostics of models
What to take with you? Laptop, preferably with 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, the group of methods currently used by the so-called * MapReduce * paradigm, which describes how data should be processed, is so popular, so that the processing procedure can be well scaled.
The most well-known 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 its underlying principles, and Hadoop, will be examined in detail as one of its most popular and advanced 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 performed on processing a large amount of data.
The master class will be practical.
To fully participate in it requires a laptop.
The Windows Azure cloud will be used as a carrier of computing resources.
Gold Sponsor: Microsoft.
You can register and get all the details about the reports and the event on the website at: geekslab.co/events/bigdatalab .
At the conference Just Sell IT! Effective IT sales will feature the following reports:
“On the start of sales in a startup. Where to look for first customers ”(Dmitry Tkachenko)
What does your potential buyers want and how to find out? When to start selling? Where to look for the first buyers and what they promise? What sales tools are most effective in promoting new products / services?
"Just be you!" Be yourself. Effective sales of services and the personal factor "(Denis Seleznev)
How is it - to be yourself, selling software on the American and domestic markets? How does the internal state on sales? And an additional strategy "Sex Sells".
“Start-up on the stage up to product-market fit: you still need to sell yourself, but not clients yet” (Konstantin Shtondenko)
“How I applied the experience of infobusiness in sales of IT services. Experience of cooperation in the city and national club of IT companies ”(Pavel Obod)
Infobusiness - MLM or the "real way to earn." Experience of using LandingPage, Email marketing, white papers, webinar in the service business. Joint lead generation in cooperation with other companies. Presentation of the SoftSource site: exchange of orders and utilization of resources.
"B2B sales of IT-services" (Vadim Rogovsky)
Comparative characteristics of online and offline sales methods on the example of the company Clicky. Profile IT conferences and exhibitions as one of the methods of offline sales.
“Sales in a B2B startup” (Nikiyar Purmambetov)
The whole truth about early adapters and finding customers. Why it is important to think through the correspondence, and carefully preparing for presentations. Who is the decision maker? And how Sun Tzu's “Art of War” can help when meeting with Coca Cola.
“Building the effect of marketing and sales in a startup” (Denis Dovgopoliy)
Why do startups tear up large corporations? Why is marketing in successful startups low budget and effective compared to the 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?
“Yak vision in the minds of the crimson ocean to outsourcing in Ukraine?” (Natalia Stoyanovich)
In the name of Quadriga virosla from two to one hundred people, they yielded from 25 keys from Danes, Nimechchini and Netherlandsland. In 2013, they sold one to our competitors, Siklumu, for Quadruga. Scot of security, such a direct growth, we need to develop a model of sales and sales pitch; I am ready to join my own business of indirect sales in the markets of Daniia and Nimechchini, who gave us a chance to grow a base of knowledge and ideas about the growth of the promising agricultural earthly industries. And for dessert, I zupinyus on the main shabby, yakŃ– did not allow us to prodzhzhiti zrostannya.
“What does it mean to be a customer-oriented company and does a startup need to know about it” (Yulia Fedorenko)
Habits and weaknesses - a modern approach to creating the right product. What approaches and tools can be applied in sales.
“Sales by phone: to whom and how to call, and most importantly - what to sell?” (Anastasia Novikova)
Why do many cold calls do not work? What to really 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)
“About thorns to the stars” in automating the software sales process in the first stage of its existence. How to build a sales department and what is the main problem in customer service. What you need to do today for Ngo amount of sales.
“Email Marketing in Startups” (Vera Zvereva)
A fresh look at business correspondence. Trends 2014. Business newsletters in sales, business development and press relationships today. Practice planning and conducting successful email outreach campaigns. Overview of the latest techniques and tools to improve the impact on business ezines.
“Working as 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 steady stream of orders is what will allow a company to grow and grow, raise rates, choose customers, and niche. How to organize this stream? Exchange? - require everyday 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, efficient, predictable flow of orders to your company.
You can register and get all the details about the reports and the event on the website: geekslab.co/events/itsaleslab .
Ahead of us are waiting for:
April 18 - MobileLab - conference on technical conference dedicated to mobile technologies and the development of iOS / Android / WP8 applications.
April 19-20 - mobile hackathon GeeksLab.
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. During 7 days, the participants will have a number of interesting events, in which experts in the field of web technologies: developers, designers, project managers, marketing specialists will discuss various professional topics, start-ups with experience will demonstrate their projects and receive feedback from mentors and coaches, and start-up entrepreneurs will have the opportunity to create their start-up 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 Cher bank th sea.
Conference programs MobileLab, DesignLab and Odessa Innovation Week are in the formative stage. 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 on Skype m31-rootua.
We invite to cooperate partners and sponsors.
You can stay up to date as follows:
- Like us on Facebook - www.facebook.com/GeeksLab.co
- Join the group on Linkedin - www.linkedin.com/groups?gid=7430607
- Feed in Twitter- twitter.com/geeks_labs
- We even have VK - vk.com/geeks_lab
All reports and presentations from conferences can be viewed on YouTube and Slideshare .
Source: https://habr.com/ru/post/213821/
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