{"id":25712,"date":"2021-03-04T06:00:00","date_gmt":"2021-03-04T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=25712"},"modified":"2021-03-05T11:28:19","modified_gmt":"2021-03-05T19:28:19","slug":"interview-luminati-ceo-or-lenchner","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/03\/04\/interview-luminati-ceo-or-lenchner\/","title":{"rendered":"Interview: Luminati CEO, Or Lenchner"},"content":{"rendered":"\n<div class=\"wp-block-image is-style-default\"><figure class=\"alignright size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"200\" height=\"200\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/03\/Or-18086-color-.jpg\" alt=\"\" class=\"wp-image-25713\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/03\/Or-18086-color-.jpg 200w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/03\/Or-18086-color--150x150.jpg 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/03\/Or-18086-color--110x110.jpg 110w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2021\/03\/Or-18086-color--50x50.jpg 50w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/figure><\/div>\n\n\n\n<p><em>I recently caught up with <em>Or Lenchner<\/em>, CEO at <em><a href=\"https:\/\/luminati.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">Luminati<\/a><\/em>, to discuss his company&#8217;s Data Collector product, an automated data collection tool, allowing customers to collect the most accurate data at scale quickly, easily, and without getting blocked. Ever since his appointment as CEO, <em><em>Lenchner<\/em><\/em> has continued to expand the company\u2019s market base, as a data collection operator, dedicated to maintaining the openness, transparency and integrity of the online ecosystem. Among Luminati\u2019s 10,000+ customers, you will find Fortune 500 companies, major e-commerce firms and sites, prominent travel companies, ad agencies, security firms, finance services, government offices and more. Prior to his career at Luminati, Lenchner founded and managed several web-based businesses, developing digital assets and online marketing programs. Joining Luminati as head of product development, Lenchner\u2019s career and evolvement at the company has been driven by his firm belief in a transparent, ethical by design web-environment benefiting both, enterprises\/businesses and consumers.<\/em><\/p>\n\n\n\n<p><strong>insideBIGDATA: <\/strong>Many of our readers are data scientists and data engineers who are hungry for new sources of data. Web scraping is a solution that keeps growing in popularity. Can you give us a high-level view of your <em>Data Collector<\/em> product and how it satisfies the accelerating desire for more data?<\/p>\n\n\n\n<p><strong>Or Lenchner:<\/strong> The<strong> <\/strong><a href=\"https:\/\/luminati.io\/products\/data-collector\" target=\"_blank\" rel=\"noreferrer noopener\">Data Collector<\/a> is the first-of-its-kind automated data collection tool, which allows our customers to collect the most accurate data at scale quickly, easily, and without getting blocked. The Data Collector integrates and automates all stages of the data collection process for customers but leaves them in full control over the data they collect. Customers can choose from hundreds of existing collection templates. They can \u201cclick and collect\u201d a new target with the Data Collector extension without any prior coding knowledge. Alternatively, they can use the IDE code editor, where they can write more complex crawl code, and the system extracts the data they need without any manual intervention or onboarding required.<\/p>\n\n\n\n<p>For customers, building a system from which to collect data effectively usually takes months and requires ongoing management and maintenance. The Data Collector solves this issue and allows them to collect the most reliable data at scale in a matter of minutes.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> How do your customers approach the scraping process in terms of customizing data collection: where to search, what to do, and how you want your data extracted?<\/p>\n\n\n\n<p><strong>Or Lenchner:<\/strong> Every customer wants to execute a data collection process that is as easy, as fast and as reliable as possible. We serve thousands of customers from multiple sectors with a wide range of data needs. Taking all that into consideration, the data collection requirements usually meet the same kind of clear frameworks across the board.&nbsp; Once you have served 20-30 customers, you have probably covered most of the different cases, excluding the cases placed at the edges, which will always exist.<\/p>\n\n\n\n<ul><li>Our self-serve data collector interface provides you with multiple options that allow you to:<ul><li>&nbsp;Select a collection template<\/li><\/ul><ul><li>Choose the data you want to collect<\/li><\/ul><ul><li>Select delivery method<\/li><\/ul><ul><li>Select schedule\/or frequency for collection or trigger by API<\/li><\/ul><ul><li>Advanced users are also offered the option of coding their own templates<\/li><\/ul><\/li><\/ul>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> Data format is a big deal to data scientists. What data formats do you support?<\/p>\n\n\n\n<p><strong>Or Lenchner:<\/strong> We deliver data in CSV or JSON formats. Our customers can choose which data points to collect, the column or entry ordering, and an option to change the naming of the objects in the output.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> In terms of scalability, what if a customer has a requirement for &#8220;big data&#8221; resources? How does your offering support the acquisition of large data sets?<\/p>\n\n\n\n<p><strong>Or Lenchner:<\/strong> We can always scale up. Relying on our technology has made scaling very easy. Our offering provides the flexibility needed.&nbsp; We have over 1000 browser servers and over 2000 code servers and these can be increased at any time and as required. &nbsp;<\/p>\n\n\n\n<p>We have been \u201cliving\u201d in the online data collection ecosystem for over 6 years now, gathering data from the largest source in the world, i.e., the internet. After acquiring experience from thousands of customers, some of the biggest enterprises and the most data-driven companies in the world, we know how to very rapidly scale, and we do it with ease and simplicity. Looking at the expediential growth of the data domain as a whole, we made sure we can serve all the big and the small. The very well-known and data-driven as well as those who are just starting their data collection journey \u2013 our products and tech are designed for it from the start.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> How would your solution be part of a robust data pipeline? Do you have an API available so that data sources can be refreshed so machine learning algorithms can be retrained for increased accuracy?<\/p>\n\n\n\n<p><strong>Or Lenchner:<\/strong> We have API for both triggering collections by code and for delivery collected data by API hooks that can easily be integrated into existing solutions. Our customers define their data requirement at the very start and set up what they need, and we adjust our solutions accordingly so there is very little set-up time involved.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> Can you tell us what&#8217;s coming from Luminati Networks down the road? Any new plans you&#8217;d like to discuss?<\/p>\n\n\n\n<p><strong>Or Lenchner:<\/strong> 2021 brings with it a lot of exciting, new data-driven developments for us. We will continue to expand our automation-based technology as well as our educational reach. We believe that, as market leaders, we must take the added responsibility to promote a responsible and ethical data collection practice. For this reason, we have recently partnered with over 45 leading educational and academic institutions to help secure a data collection practice that is data-bright, transparency-driven and ethical by design all the way through. This is our commitment to the market and to our customers, and we intend to stand by it.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I recently caught up with Or Lenchner, CEO at Luminati, to discuss his company&#8217;s Data Collector product, an automated data collection tool, allowing customers to collect the most accurate data at scale quickly, easily, and without getting blocked. The Data Collector integrates and automates all stages of the data collection process for customers but leaves them in full control over the data they collect. <\/p>\n","protected":false},"author":10513,"featured_media":25713,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,182,87,180,191,67,56,97,1],"tags":[133,984,277,721,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Interview: Luminati CEO, Or Lenchner - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2021\/03\/04\/interview-luminati-ceo-or-lenchner\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Interview: Luminati CEO, Or Lenchner - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"I recently caught up with Or Lenchner, CEO at Luminati, to discuss his company&#039;s Data Collector product, an automated data collection tool, allowing customers to collect the most accurate data at scale quickly, easily, and without getting blocked. 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The recent International Panel on Climate Change report warned that we aren\u2019t doing enough to avoid the dire impacts of climate change \u2013 businesses must use every tool\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":30588,"url":"https:\/\/insidebigdata.com\/2022\/10\/10\/developer-designs-ai-that-creates-infinite-bored-ape-nfts%ef%bf%bc\/","url_meta":{"origin":25712,"position":1},"title":"Developer Designs AI that Creates Infinite Bored Ape NFTs","date":"October 10, 2022","format":false,"excerpt":"In this contributed article, Or Lenchner, CEO, Bright Data, examines how public web data collection can unlock AI-generative NFTs like Yannic Kilcher\u2019s 'Bored Apes'? Kilcher discusses how public web data is crucial to building generative adversarial networks (GANs). This is an unsupervised learning task in machine learning that involves automatically\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/10\/Artificial_intelligence_3_SHUTTERSTOCK.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":23914,"url":"https:\/\/insidebigdata.com\/2020\/01\/28\/interview-steve-yurko-ceo-of-apex-analytix\/","url_meta":{"origin":25712,"position":2},"title":"Interview: Steve Yurko, CEO of APEX Analytix","date":"January 28, 2020","format":false,"excerpt":"I recently caught up with Steve Yurko, CEO of APEX Analytix to discuss his views on the big data technology landscape in 2020. in order to become true big data winners, companies need to prioritize quality data as the foundation of predictive analytics that ultimately answer real business questions.","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Steve_Yurko.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":5902,"url":"https:\/\/insidebigdata.com\/2013\/11\/14\/h20-open-source-memory-machine-learning-app-big-data\/","url_meta":{"origin":25712,"position":3},"title":"H20: An Open Source, In-memory Machine Learning App for Big Data","date":"November 14, 2013","format":false,"excerpt":"\"We developed H2O to unlock the predictive power of big data through better algorithms,\" said SriSatish Ambati, CEO and co-founder of 0xdata. \"H2O is simple, extensible and easy to use and deploy from R, Excel and Hadoop.\"","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2013\/11\/oxdata.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":25558,"url":"https:\/\/insidebigdata.com\/2021\/02\/01\/above-the-trend-line-your-industry-rumor-central-for-2-1-2021\/","url_meta":{"origin":25712,"position":4},"title":"\u201cAbove the Trend Line\u201d \u2013 Your Industry Rumor Central for 2\/1\/2021","date":"February 1, 2021","format":false,"excerpt":"Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/04\/Above-the-trend-line-iBD.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":22102,"url":"https:\/\/insidebigdata.com\/2019\/02\/13\/field-report-h2o-world-2019-san-francisco\/","url_meta":{"origin":25712,"position":5},"title":"Field Report: H2O World 2019 San Francisco","date":"February 13, 2019","format":false,"excerpt":"I was pleased to be on-hand for the recent (Feb. 4-5) H2O World 2019 conference in beautiful San Francisco. 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