AlgoAnalytics
@AlgoanalyticsIn
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Experts in Predictive Analytics, development of advanced mathematical solutions for a range of industries like Retail, Economics, Healthcare, BFSI, and Telecom.
Pune, India
Joined June 2016
On the occasion of #NationalTechnologyDay2023 Day, we at AlgoAnalytics are committed to drive forward India's AI revolution by leveraging cutting-edge technology and advanced analytics to drive transformative change across industries.
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Spicing up the world of AI! Our team has been busy cooking up ML recipes for a No/Low code AI platform. Check out another one of our success stories! #ai #ml #Succession
https://t.co/5av15yRKqQ
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Spicing up the world of AI! Our team has been busy cooking up ML recipes for a No/Low code AI platform. Check out another one of our success stories! #ai #ml #success
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Our new blog 'Business Applications of the Maximum Cut Problem' discusses how the Max-Cut problem can unlock potential business opportunities and how Quantum Computing can revolutionize it. https://t.co/rT7bE9i9WD
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In his blog 'Business Applications of the Maximum Cut Problem', Vikram Joshi discusses how the Max-Cut problem can unlock potential business opportunities and how Quantum Computing can revolutionize...
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Another success story in manufacturing vertical, where we successfully developed a computer vision model that increased accuracy in identifying defects in painted parts, resulting in a significant improvement in quality control for our client. https://t.co/N1TZ375EbY
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Another success story in manufacturing vertical, where we successfully developed a computer vision model that increased accuracy in identifying defects in painted parts, resulting in a significant...
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Our new blog discusses how the Quadratic Assignment Problem (QAP) can be used in various Business Applications. It also briefly touches upon the increased efficiency in solving these problems with the advent of Quantum Computing. https://t.co/pSBfa9wW5L
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In our new blog, Vikram Joshi discusses how the Quadratic Assignment Problem (QAP) can be used in various Business Applications. He also briefly touches upon the increased efficiency in solving these...
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Our new blog explores various summarization models used in the context of stock market forecasting and compares their effectiveness. Check out our latest blog titled 'A Comparison of Summarization Models for Stock Market Forecasting'. https://t.co/zOPwxCcbyl
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In our last week's blog, we read about how NLP can be used to classify financial events and extract important information. This week Nirvisha Soni explores various summarization models used in the...
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Our founder and CEO Mr. Aniruddha Pant shares one of our "success stories" in Computer Vision. It was a great work by our team to obtain 100% Precision and 100% Recall in this challenging use case of real time image analytics on a high speed video feed. https://t.co/vel0UqrPkr
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Due to a high demand for bottled beverages, beverage manufacturing companies use high-speed bottling plants in their factories. At such high speeds, they need to make sure quality and safety standa...
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Our latest blog explores the use of Natural Language Processing (NLP) to classify financial events and how it can be used to extract important information from financial news articles. https://t.co/DF1ncgoW7l
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Overall, the QAP is a fascinating optimization problem that will continue to be an important benchmark for evaluating the performance of optimization algorithms and for developing new methods for solving complex optimization problems in the future.
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Our team at AlgoAnalytics is exploring the potential of quantum computing algorithms for solving the QAP. Another area of research is exploring the use of machine learning and artificial intelligence techniques to solve the QAP.
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For example, for a food delivery app, if we have a set of orders and a set of delivery partners, and we want to assign each partner to an order such that the transportation costs are minimized, then we can use the QAP to find the best assignment.
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minimizes the total cost of the assignment. The cost of assigning an object to a location depends on the distance between the objects and the locations. The goal is to find the assignment that minimizes the total cost of all the assignments.
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These presumably simple tasks of assigning partners to orders or gates to flights in the most efficient way is actually done with the help of a mathematical problem- The Quadratic Assignment Problem (QAP). It involves assigning a set of objects to a set of locations in a way that
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Have you ever been frustrated with your food delivery apps for not assigning a delivery partner quickly or your assigned airport gate being changed at the last minute?
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If you haven't subscribed to AlgoFabric Newsletter yet, check it out today for FREE! https://t.co/0ojEIhzst7
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Are you interested in staying up-to-date with the latest insights and trends about your favorite stocks? Check out AlgoFabric's daily newsletter! With AlgoFabric's newsletter, you'll receive daily...
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Today, on #InternationalWomensDay, we want to take a moment to celebrate the incredible women who make up our team at AlgoAnalytics. We are so proud of the talented women who work with us, and we know that their contributions are invaluable to our success as a company. Thank you!
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