Business Intelligence is continuing to bring more and more value to enterprises as adoption rises and capabilities increase. AI and NLP are driving increased ease of use and democratization with more ways to interact and collaborate with data beyond SQL queries and dashboards.

Formerly known as Algomus, Inc. algo.ai, has created Algo, the world’s first supply chain analyst bot. Algo connects Artificial Intelligence, Augmented Reality, and Automation in a unique way to a specific set of industries: retailers, distributors, and manufacturers. The company’s deep domain knowledge of both technology and supply chain allows the team to rapidly train Algo on analytically rich workflows and business functions like Demand and Inventory Planning, Sales Forecasting, New Product Lifecycle Management, Assortment Optimization and more. Algo is headquartered in metro Detroit with operations in the US and Europe.

Algo offers easy-to-use conversational Business Intelligence (BI) and Workflow Automation platform that enables people to work to their full potential by learning to take over tedious and redundant tasks and collaborate using a single source of truth.

The platform uses a wide range of AI and Machine Learning (ML) architectures, including Prediction, Prescription, Time Series Forecasting, Natural Language Processing (NLP), and Robotic Process Automation (RPA) to allow for seamless and robust smart Human-in-the-loop workflows. With an easy to use conversational interface, Algo ensures that users without any background in data science can make data-driven decisions and become more strategic and analytic in their day-to-day tasks.

Improving the Way of Business

Machine Learning to Enhance the Analyst

Algo is the ultimate assistant to the analyst. Imagine needing to quickly look at the impact of a price change on a given product. A common way to do this is to run a linear regression on the data, in the past, this meant specialized knowledge on how to prepare data, run the regression, tune the model, and present findings to decision makers.  Thanks to Algo even the most novice analysts or business decision makers can now get the answer along with an informative visualization and the data used to obtain the answer in a matter of minutes, if not seconds. Users don’t need to do any of the heavy lifting, and can move onto the next important question. Algo allows people to work the way they should, as if they had a team of experts to help them discover the answers to their critical questions when they need them.

Natural Language Processing – Conversation is the New Interface

The ubiquity of voice assistants such as Amazon Alexa, Google Home, and Microsoft Cortana have created expectations that people can speak to their software and it will understand what to do. Algo applies the same concept to business data, making it easier for anyone to ask questions and analyze the data they have at hand.

Gartner predicts that by 2020 50% of analytical queries will be generated via search, NLP or voice. Algo is already there. The executive on the go can quickly ask Algo on a mobile device: “Total sales by customers who purchased DVDs in New York last month.” Natural Language interfaces empower people to ask more nuanced and natural questions of data and to receive relevant and insightful answers that lead to better decisions every day.

Designer of Algo

Amjad Hussain is an entrepreneur at heart, and has been developing AI applications since before it was cool. Spending the early part of his career building Business Intelligence capablitities for some of the world’s largest enterprises, he has finally been able to fully follow his passion as Founder of algo.ai where he is CEO during the day and AI building blocks designer at night. He is proud to have built a passionate team of domain experts, AI architects, machine learning scientists and full stack software engineers with deep industry knowledge of manufacturing, distribution and retail. The algo.ai team is actively solving meaningful problems for its enterprise customers worldwide.

Amjad is also an LP at Detroit Venture Partners, a mentor at Techstars and an early stage investor in a few startups. In his previous leadership positions, Amjad has worked as the CTO and head of Business Intelligence for large US corporations.

Amjad is an Honors Electrical Engineering & Computer Science graduate and a senior member of IEEE. He earned his Master’s degree in Electrical Engineering & Computer Science from UMIST, in the United Kingdom with a focus on Artificial Intelligence and an MBA from MIT. Amjad is an applied researcher and practitioner in the field of natural language understanding and deep reinforcement learning. He has completed flagship Executive Management programs at Harvard and Stanford. Amjad was recognized in the Crain’s ‘40 under 40’ program for his pioneering work in advanced analytics.

Exclusive Offering

algo.ai’s clients are decreasing their overhead by automating tedious back-office operations and increasing the productivity of analysts, business people, and executives. In addition to cost savings, Algo adds to top-line revenue and bottom-line profits by enabling better data-driven decisions and delivering competitive insights that have previously been too time-consuming or complicated to get in time to make a real impact. Algo is enabling enterprise clients to serve their customers better, leading to stronger sales and more valuable customer experiences.

Goals and Future Strategies

Algo’s mission to enable enterprises to become powered by collaborative intelligence – facilitating an environment where humans and machines can work together to create superior outcomes and equip companies to become more agile and resilient in the face of a fast-changing future.

Algo will continue to introduce exciting new features and capabilities involving Augmented Reality and increased personalization and proactive insights. Algo is continuously learning from user interactions and data, multiplying his value to organizations from month to month.

Source :-The 10 Most Valuable Business Intelligence Companies 2018

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