Happy 4th of July from VAST Data! 🚀 🎆
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Well™ is a psychological safety tool that helps control psychosocial risks. It’s the catalyst for your whole organisation to form daily habits that keep everyone safe. When saw the Well tool in action, I was pretty excited and jumped at the opportunity to join the journey. Seeing stats like this from our first users is showing me that others are just as excited about Well as I am. If psychological safety and wellbeing is high on the agenda for your business, comment below. If it is high on the agenda for someone you know, feel free to tag them in comments.
The data is in and we couldn't help but flex just a little 💪 . This is from some of our first users from one organization. 🚀
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I'm thrilled to announce that, along with my teammates Oleg Ulukov and Yuval Zindani, we took first place at the data and machine learning hackathon held at Ruppin Academic Center! This competition brought together great people and minds in the field, and we're incredibly honored to have been recognized for our work. Our project tackled the challenge of sustainable route prediction using a massive dataset of 2 million entries. This data included starting and ending positions, dates, transportation methods, and travel times. Our goal was twofold: Shortest Path Model: To create a model that could analyze two positions and a date, and then predict the quickest route based on the provided information. Least Polluted Route Model: We also recognized that different transportation options have varying environmental impacts. So, we built a second model that, given the same inputs, could recommend the route with the lowest overall pollution footprint. Here's how we achieved this: Prediction with XGBRegressor: We leveraged the power of XGBoost, a machine learning library known for its effectiveness with tree-based models. We trained an XGBRegressor model to predict the travel time between each pair of locations in our dataset. Graph Creation with DiGraph: With these predicted times in hand, we constructed a directed graph (DiGraph) using Python's NetworkX library. This graph served as a map, where nodes represented locations and edges represented the connections between them, weighted by the predicted travel times. Shortest Path with Dijkstra's Algorithm: To find the quickest route between any two points, we implemented Dijkstra's algorithm. This widely used algorithm efficiently navigates graphs to identify the shortest path between any two nodes, considering the edge weights (travel times in our case). This hackathon experience was invaluable. Building upon my participation last year, where I secured fourth place, I was able to: Learn from Mistakes: I identified areas for improvement from my previous experience and addressed them effectively this year. Power of Graphs: I gained a deeper understanding of the utility of graphs in representing and analyzing pathfinding problems. The hackathon fostered a fantastic collaborative environment. My teammates, Oleg Ulukov and Yuval Zindani, and I constantly supported each other, maintaining a fun and competitive spirit throughout. We were fortunate to have the guidance of four professors who provided invaluable support and mentorship during the hackathon. A huge thank you to the organizers of the hackathon for putting on such a fantastic event, and congratulations to all the other participants! #RuppinAcademicCenter #HackathonWinner #DataScience #MachineLearning #SustainableRoutes #AIforGood #XGBoost #Dijkstra #NetworkX
Junior Software Developer | Full-stack development skills | C# .NET skills, Threading | HTML/CSS & Javescript | React
Happy to finally receive the 1st place certificate from Ruppin Academic Center for the annual data hackathon 🥇🏆 Was a real pleasure and fun working with Oleg Ulukov and Matan Dekel on this project! 🤝😃
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✨ 𝐔𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐝𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐒𝐞𝐠𝐦𝐞𝐧𝐭'𝐬 𝐃𝐚𝐭𝐚 𝐆𝐫𝐚𝐩𝐡 𝐚𝐧𝐝 𝐋𝐢𝐧𝐤𝐞𝐝 𝐀𝐮𝐝𝐢𝐞𝐧𝐜𝐞𝐬 ✨ So excited to share what we've been working on this past year! Say goodbye to data silos and hello to a unified customer engagement strategy. 👋🏻 Segment’s Data Graph is the semantic layer unifying all your customer data between Segment and your warehouse. It seamlessly links customer profiles with the business entities shaping their experience - enabling companies to create targeted audience segments. This contextual data can then be passed to downstream tools for advanced analytics, adtech, and marketing automation. With Linked Audiences, marketers can now leverage real-time data from Segment’s CDP and comprehensive data from the warehouse to drive personalized campaigns. Transform your customer engagement and marketing strategies by integrating your warehouse with Segment today: https://lnkd.in/gHB-3w8G A massive shoutout to the incredible team at Segment for your hard work and dedication in bringing this vision to life. This is just the beginning – stay tuned for more exciting developments! 🚀
Introducing Linked Audiences! ✨ Work with better data. Achieve better results.
Announcing Linked Audiences
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🚀[ I will be Sharing the Analysis video on Monday ] Excited to announce my 2nd winning on hackathon competition! ⚙️ Seeking valuable feedback from market leaders in the fields of digital marketing and data analysis over my marketing analysis video that I will post next. Your insights mean the world to me. Let's connect and elevate our analytical game together! 📊🔍 #marketinganalysis #dataanalytics #marketinganalyst #dataanalyst #feedbackwelcome
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There will be a lot of 🗣 on here over the next few days about the 🆕 'What we watched" data from Netflix 🎆 Initial thoughts on this are as follows 1. Exciting! 2. Devil is always in the detail. 18,000 'titles' yes, but around 500 of them contribute to 50% of viewing across the period, 110 movies and 390 TV Franchises (Not titles, they are simply seasons) 3. The Top 10 Movies by viewing hours are almost predominantly Netflix titles released in the last twelve months with the exception of Boss Baby which is only available on the US platform 4. The Top 10 TV Franchises are again dominated by Netflix shows, Ginny & Georgina coming out on top with the long awaited second series premiering at the beginning of the period (Jan 5th) 5. The exceptions in this list are the Walking Dead (2010, 11 series), Suits (2011, 8 series) & Blacklist (2013, 10 series) 2.2 of which (WD, The Blacklist and 2 seasons of Suits) are only available to subscribers in the US. So Netflix incredibly good at promoting its own shows on the platform and acquiring (especially for its huge US audience) the best of the rest with titles like New Amsterdam, Breaking Bad, Grey's Anatomy, Lucifer and Friends sitting just outside the Top 10 Franchises For more analysis and opinion you can visit here.
Exciting news, more data, more smoke, more mirrors, as ever our mission to pick our way through and meet you on the other side 👨🚒
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From raw data 👨💻to actionable insights, discover the art 🖼️ of transforming information into strategy in our bootcamp 🏕️ starting 29th July 2024 🗓️ Click the Link 🔗in the bio to get started now.
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📰 In this episode of Data Sessions, we're celebrating JD Weiner, whose team at Forbes Media runs on New Relic to find and fix problems faster. Watch the full Data Session: https://lnkd.in/gse7qqZG Read what engineers are saying about us: https://lnkd.in/gjfQaS7n
Data Sessions: Forbes Media
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Supper excited to be amongst the 2,000 participants for this Global Data Hackathon by 10Alytics and I look forward to tomorrow with a lot of enthusiasm. So calling on my fellow #data #nerds to register, challenge yourselves and above all network network network. Joining 10Alytics February 2023 is the best professional decision I made this year 😎 .. #hackathon #bigdata #dataanalytics #dataanalysis #data
We are 2 days to the 10Alytics Global Data Hackathon 2023! We have officially crossed over 2000 participants that are registered for this event. Our fantastic judges aren't left out too. They are fully set to review all submissions that will make it to the Top 10 on the grand finale. Adejoju Ajani Sebastian Obeta Sadeeq Akintola Ncumisa Hlapo DAMA (CDMP) Esther Munyi Do not underestimate yourself. You have what it takes to make it to the global stage too. Be Prepared! Register to participate at the hackathon via https://lnkd.in/gd9nZGvh
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