Algomine

🎄With 𝓒𝓱𝓻𝓲𝓼𝓽𝓶𝓪𝓼 approaching and the Year 2⃣0⃣2⃣4⃣ coming to a close, it’s our tradition to gather and enjoy some quality time together. Thank you, #TeamAlgomine, for your spirit, intelligence, kindness, and your readiness to work hard and have fun! Wishing you all a beautiful 𝓒𝓱𝓻𝓲𝓼𝓽𝓶𝓪𝓼 🌟 #DreamTeam #TeamSpirit #christmas #MonetizeData

"68% of the products now benefit from more accurate forecasts, leading to improved product availability at retail points and, consequently, increased revenue. The expected time for a return on investments is six months." ✨ Learn more about the project we collaborated on with SAS for Inter Cars S.A. 👉 https://lnkd.in/d4x59myj 💬 Have questions or comments? Share them below, or reach out to us at ✉️hello@algomine.ai. 🌍 Visit our website to explore more 👉 https://algomine.ai #retail #machinelearning #advancedanalytics #datadriven #ai

🔸Why is data quality still the biggest hurdle on the path to data-driven decision-making? 🔸How can organizations invest in Machine Learning smartly and within budget? 🔸Where should you start, and how should you evolve? 🔸Why could delaying ML investments be a critical misstep? 🔸What real-world business examples showcase the power of advanced analytics? These questions—and more—are explored in this concise yet insightful conversation between Michael Presley from SAS and Igor Jakubiak, PhD from Algomine. 🎥 Check out the video here 👇https://lnkd.in/d4VQQJkP #retail #machinelearning #advancedanalytics #datadriven #dataquality

These days, our client interactions are mostly digital, but nothing beats the magic of meeting in person🫂. When we get the chance to connect the 'old-fashioned' way, it’s always an incredible experience—socially, educationally, aesthetically, and culinarily! Here are a couple of photos from our recent visit to stunning 🇳🇴Norway! Thank you Cezary Glowinski Jacek Gralak Teresa Kurek Konrad Wojdan - you are a #DreamTeam! #MonetizeData #BeautifulNorway #VakreNorge #ML #AI

𝐇𝐚𝐯𝐞 𝐲𝐨𝐮 𝐡𝐞𝐚𝐫𝐝 𝐨𝐟 𝐞𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐢𝐧 𝐌𝐋 𝐟𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠? By implementing explainability techniques, the outcomes of ML models become easier to understand, leading to: ✅ better decision-making, ✅ improved transparency, ✅ risk mitigation, ✅ increased stakeholder confidence. Discover how we built trust in Machine Learning models for a global snack food retailer by making their forecasting process transparent. Ultimately, this process shed its “𝐛𝐥𝐚𝐜𝐤 𝐛𝐨𝐱” nature, transforming into a trusted, actionable tool for the business. 👉 https://lnkd.in/ddpr5AkY   #MLexplainability #ML #forecasting #SHAP #Retail

"𝕋𝕙𝕖𝕪 𝕙𝕒𝕧𝕖 𝕣𝕖𝕧𝕖𝕒𝕝𝕖𝕕 𝕡𝕣𝕠𝕥𝕖𝕚𝕟𝕤’ 𝕤𝕖𝕔𝕣𝕖𝕥𝕤 𝕥𝕙𝕣𝕠𝕦𝕘𝕙 𝕔𝕠𝕞𝕡𝕦𝕥𝕚𝕟𝕘 𝕒𝕟𝕕 𝕒𝕣𝕥𝕚𝕗𝕚𝕔𝕚𝕒𝕝 𝕚𝕟𝕥𝕖𝕝𝕝𝕚𝕘𝕖𝕟𝕔𝕖." 🥇 The Nobel Prizes have been awarded, and we must admit that this year recognized some fascinating scientific achievements. An example is the #NobelPrize in 𝐂𝐡𝐞𝐦𝐢𝐬𝐭𝐫𝐲. 🤔 𝙒𝙝𝙮 𝙖𝙧𝙚 𝙬𝙚 𝙙𝙞𝙨𝙘𝙪𝙨𝙨𝙞𝙣𝙜 𝙘𝙝𝙚𝙢𝙞𝙨𝙩𝙧𝙮 𝙬𝙝𝙚𝙣 𝙤𝙪𝙧 𝙙𝙤𝙢𝙖𝙞𝙣 𝙞𝙨 𝙖𝙧𝙩𝙞𝙛𝙞𝙘𝙞𝙖𝙡 𝙞𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚❓ Exactly for the reason mentioned in the title of the article by the Nobel Institute: the Nobel Prize in Chemistry was awarded for the application of #AI systems in work on proteins. It was awarded half to 𝑫𝒂𝒗𝒊𝒅 𝑩𝒂𝒌𝒆𝒓, an expert in cellular microbiology, and half to the pair of scientists 𝑫𝒆𝒎𝒊𝒔 𝑯𝒂𝒔𝒔𝒂𝒃𝒊𝒔 and 𝑱𝒐𝒉𝒏 𝑴. 𝑱𝒖𝒎𝒑𝒆𝒓.  It wasn’t an easy journey; there were moments when the scientists hit a wall. Major progress was made thanks to the team led by Demis Hassabis, co-founder of 𝐃𝐞𝐞𝐩𝐌𝐢𝐧𝐝. However, when John M. Jumper joined the team with the fresh perspective of a theoretical physics PhD, all the pieces of the puzzle came together. The real breakthrough was made possible by the application of #NeuralNetworks known as #Transformers, which are much more flexible in finding patterns in vast amounts of data and can quite efficiently identify which factors are important when striving toward a specific goal. This revolutionary achievement turned out to be the missing piece for 𝑫𝒂𝒗𝒊𝒅 𝑩𝒂𝒌𝒆𝒓, who had been studying protein structures since 1993 and developing dedicated software called 𝐑𝐨𝐬𝐞𝐭𝐭𝐚 since the late 1990s. When he added AI models based on transformers to Rosetta, it turned out that not only could the structure of all known proteins on Earth be deciphered, but entirely new ones could also be formulated. And this opens the possibility to use them for “new nanomaterials, targeted pharmaceuticals, more rapid development of vaccines, minimal sensors and a greener chemical industry”. We highly recommend this fascinating article prepared by the Nobel Institute— you will find the link to the article in the comment. ⬇️⬇️⬇️ #DataScience #MonetizeData

𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗔𝗹𝗴𝗼𝗺𝗶𝗻𝗲 𝗳𝗼𝗿 𝗬𝗼𝘂𝗿 𝗢𝗳𝗳𝘀𝗵𝗼𝗿𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗧𝗲𝗮𝗺? Here are just a couple of arguments to consider for making this decision: 1⃣ Algomine is based in 🇵🇱Poland, a home to top-tier tech talent, offering highly qualified professionals at competitive rates. 2⃣ Its time zone alignment within Europe and a 16-hour overlap with the 🇺🇸US accelerates development cycles. 3⃣ With shared business values and 4⃣ strong English proficiency, seamless collaboration is a given. 5⃣ Plus, Poland’s cutting-edge technology infrastructure creates an ideal environment for data science. 📖 Read our #CustomerStory about staff augmentation for a US-based company to find out more 👇 https://lnkd.in/dH-vWA5A #StaffAugmentation #DataScience #CaseStudy

🎉 Last night, we celebrated not just one, but 2⃣ milestones—our 9th anniversary and the grand opening of our new office! 🏢✨ A huge 𝓽𝓱𝓪𝓷𝓴 𝔂𝓸𝓾 to everyone who joined us to make this evening so special. It was wonderful to see so many friendly faces come together in such a relaxed and welcoming atmosphere. 🍻🍕 The event gave us all the chance to catch up, meet colleagues face-to-face, and simply enjoy each other’s company. Our parties are always so positive ✌️ – it’s like they’re programmed that way! 😉 Here’s to many more years of success, collaboration, and growth—together! 🎉 #GoAlgomine #OfficeOpening #TeamCelebration

#AI not only elevates businesses by making things much easier but also is bias free ➡️ when properly designed❗ It is exceptionally important for financial institutions and their credit scoring. At Algomine, we are aware and vigilant of the pitfalls that may arise when creating algorithms. Listen to Michał's talk on #FairLending, recorded during SAS 𝐈𝐧𝐬𝐩𝐢𝐫𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐲. It will guide you through the non-obvious traps you may encounter when creating a fair #ML model. 🎧 https://lnkd.in/d8C5E2eS ⚠️ This presentation is in 🇵🇱 Polish. #MachineLearning #CreditScoring #DataScience

You are just one click away from... 💡 a new article on our blog highlighting how ML/AI can be applied and how Amazon Web Services (AWS) and SAS services can be utilized to automate and optimize your #SupplyChain. 👉 https://lnkd.in/dAdsJ_G7 The author, Cezary Glowinski, Chief Data Scientist at Algomine, and Magdalena Rempuszewska from Amazon Web Services (AWS), have covered the top use cases for AWS Supply Chain, Amazon SageMaker, and SAS Intelligent Planning. Don’t miss out on these insights! ⭐You'll find a 🇵🇱 Polish language version right here: https://lnkd.in/debqg_Cc #AI #ML #AWSSupplyChain #SASIntelligentPlanning #AmazonSageMaker