{"id":1339,"date":"2023-06-06T14:11:42","date_gmt":"2023-06-06T14:11:42","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/?p=1339"},"modified":"2025-06-25T06:20:51","modified_gmt":"2025-06-25T14:20:51","slug":"pecan-powers-ai-automated-data-science-for-advanced-analytics-and-decision-making","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/startups\/blog\/pecan-powers-ai-automated-data-science-for-advanced-analytics-and-decision-making\/","title":{"rendered":"Pecan powers AI-automated data science for advanced analytics and decision making"},"content":{"rendered":"\n

Zohar Bronfman, CEO and Co-founder of Pecan<\/a>, had no inkling of a career in tech during his years of military service in the Israeli army, or while earning two PhDs in computational neuroscience and another in the history of philosophy. His journey from soldier to scholar to CEO of a rapidly growing AI\/ML tech startup is as unusual as it is inspiring.<\/p>\n\n\n\n

Pecan is an AI-powered analytics platform that leverages AI and ML to provide advanced analytics and predictive modeling solutions. It utilizes AI techniques to automate and enhance various aspects of the analytics process, enabling businesses to gain valuable insights and make data-driven decisions without a need for existing data science proficiency.<\/p>\n\n\n\n

I sat down with Zohar to talk about his transition to startup co-founder, what differentiates Pecan from other analytics providers, and his company\u2019s relationship with Microsoft solutions. The first question, however, was how to pronounce his company\u2019s name: \u201cPE-can<\/em>,\u201d or \u201cpeh-CAHN<\/em>\u201d?<\/p>\n\n\n\n

\u201cWe have a company motto,\u201d Zohar laughs. \u201cIt doesn\u2019t matter how you pronounce it, as long as you buy it.\u201d<\/p>\n\n\n\n

Rapid growth brought on by recognizing a market need<\/h2>\n\n\n\n

Zohar is quick to admit that his path to tech startup founder and CEO is atypical. During his three years in the Israeli army, he was stationed in the country\u2019s largest intelligence unit but assigned to the non-technological division. His subsequent academic pursuits were also far from his eventual career in AI\/ML, but they set the stage for what was to come.<\/p>\n\n\n\n

\u201cI met Noam, our cofounder and CTO, on the very first day of our Masters in Neuroscience in Tel Aviv University,\u201d Zohar recalls. \u201cWe became interested in the field of machine learning and data science and how models can emulate brain processes and predict human behavior.\u201d<\/p>\n\n\n\n

Zohar and Noam would then launch Pecan and develop its automated machine learning (autoML) platform, designed to be accessible to businesses without requiring expertise in data science or programming. Capable of automatically generating the best possible model for a given problem based on the data provided, the solution is particularly well-suited for businesses that don’t have dedicated data science teams or that need to move quickly to implement machine learning models.<\/p>\n\n\n\n

\u201cImplementing these models is a huge problem,\u201d Zohar says. \u201cA ton of money is thrown down the drain because of a lack of capacity to find and train machine learning talent. Our rapid growth speaks to the need in the market and the value potential customers see in our platform.<\/p>\n\n\n\n

\n

There are barriers to entering our domain in terms of competition, especially concerning data automation. Our main advantage is that our customers do not require expertise in data science, which is enabling them to use our services without any prior knowledge in the field.<\/p>\n<\/blockquote>\n\n\n\n

\u201cOur mission is to put the power of data science in the hands of data and BI analysts,\u201d he continues, \u201cand we\u2019ve recently opened our platform for anyone to sign up and try their hand at automated predictive analytics. We\u2019re excited to see more and more data analysts take on predictive modeling and help drive business success.\u201d<\/p>\n\n\n\n

Innovating in the field of AI and ML<\/h2>\n\n\n\n

Pecan\u2019s use of several AI techniques to automate and enhance their analytics process\u2014including data prep and feature engineering, templates for models that address specific business problems, and SQL-driven modeling with autoML\u2014enables their customers to gain valuable insights and make data-driven decisions. Zohar says one of the biggest problems Pecan addresses, other than reducing the need for trained data scientists to implement models, is properly gathering data with which to build models.<\/p>\n\n\n\n

\u201cA company may not have data properly prepared, structured, or engineered for machine learning,\u201d Zohar explains. \u201cWe built automation around taking raw data and transforming, collating, restructuring, cleansing, and engineering it so it can be meaningfully fed into the ML algorithms.\u201d<\/p>\n\n\n\n

Zohar says this patented technology opens a new field of innovation with the potential to fill a wide array of applications, including customer segmentation, churn prediction, and personalized marketing. One of Pecan\u2019s goals is to develop models that are not only accurate but also transparent and explainable. Zohar believes this will help differentiate Pecan in the market as more businesses adopt AI and ML.<\/p>\n\n\n\n

\u201cThere are barriers to entering our domain in terms of competition,\u201d Zohar says, \u201cespecially concerning data automation. Our main advantage is that our customers do not require expertise in data science, which is enabling them to use our services without any prior knowledge in the field.\u201d<\/p>\n\n\n\n

A close partnership with Microsoft forges a path to mentorship<\/h2>\n\n\n\n

Zohar says another key to Pecan\u2019s market penetration is their close partnership with Microsoft. Through their connections with other Microsoft clients, Pecan can add the value of their platform to existing Microsoft software, helping them to gradually expand their customer base.<\/p>\n\n\n\n

\u201cWe are extremely proud about working with Microsoft,\u201d Zohar says. \u201cWe get amazing support on both the technological and go-to-market sides.\u201d<\/p>\n\n\n\n

Pecan\u2019s platform is built on Azure Databricks<\/a>, adapts an Azure infrastructure and utilizes Apache Spark in in Azure HDInsight<\/a> for automation. The company trains and deploys its ML models on Azure Machine Learning<\/a>, integrates with Azure Data Factory<\/a>, and houses its data on Azure Data Lake<\/a>, allowing them to store large amounts of data at a low cost. In addition, Pecan also integrates with Power BI<\/a>, allowing their users to visualize and analyze their data.<\/p>\n\n\n\n

\u201cThirty percent of data analysts use Power BI,\u201d Zohar explains. \u201cWe already see our customers integrating predictions from Pecan into their Power BI dashboards and tools. BI now includes more than analyzing what happened in the past\u2014it\u2019s also analyzing and communicating what\u2019s going to happen in the future. Across the board, these are exciting opportunities to expand the meaning and impact of business analytics.\u201d<\/p>\n\n\n\n

Zohar says Pecan\u2019s membership in the Microsoft for Startups Founders Hub has also paid dividends for the company.<\/p>\n\n\n\n

\u201cWe\u2019ve been working closely with the Founders Hub for years, and they have always been there for us with content, mentorship, and programs that have helped us grow individually and make connections,\u201d Zohar explains. \u201cIt\u2019s reached the point where now I\u2019m being asked to provide mentorship, so I\u2019m really proud of the collaboration we\u2019ve generated.\u201d<\/p>\n\n\n\n

Microsoft for Startups Founders Hub members receive Azure cloud credits that can be used toward Azure OpenAI Service or OpenAI to help build their product. <\/em>Sign up now to become a member.<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Zohar Bronfman, CEO and Co-founder of Pecan, had no inkling of a career in tech during his years of military service in the Israeli army, or while earning two PhDs in computational neuroscience and another in the history of philosophy.<\/p>\n","protected":false},"author":7,"featured_media":1341,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","_alt_title":"","ms-ems-related-posts":[],"footnotes":""},"post_tag":[],"content-type":[202],"job-role":[],"topic":[],"coauthors":[588],"class_list":["post-1339","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","content-type-startup-stories","review-flag-1750334680-276","review-flag-alway-1750334677-28","review-flag-machi-1750334691-173","review-flag-ml-1750334691-990","review-flag-new-1750334675-317","review-flag-partn-1750334676-483","review-flag-perce-1750334679-992"],"yoast_head":"\nPecan powers AI-automated data science for advanced analytics and decision making - Microsoft for Startups Blog<\/title>\n<meta name=\"description\" content=\"Pecan is an AI-powered analytics 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