Author: Olga Orda

Digamma.ai AI Q&A Series: Jackie Snow, MIT Tech Review

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Artificial Intelligence / Big Data
fashion digamma ai MIT

Digamma.ai AI Q&A Series: Jackie Snow, MIT Tech Review 1. We are in the very early stages of AI in history. Style is still so complex and there is this sense that AI is trending towards an intelligent assistant that will help us look like we shop at Saks Fifth Avenue regularly and yet do it under budget. In what areas do you believe AI will help consumers and what areas of the style and […]

Digamma.ai Partners With the Institute of Mathematics at the National Academy of Sciences of Ukraine

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Artificial Intelligence / Machine Learning
Institute of Mathematics

Our team here at Digamma.ai is very excited to announce our partnership with the Institute of Mathematics of the National Academy of Sciences of Ukraine in Kyiv. Through the Kyiv Academic University’s Dual Education Program, we will working with Masters and PhD students from the Department of Mathematics to tackle key machine learning projects together. With mathematics and statistics as the foundational underpinnings of algorithms that are powering the emerging AI economy, the mathematics field […]

Digamma.ai CEO Q&A: Amar Chokhawala, CEO of Reflektion

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Artificial Intelligence / deep learning / Machine Learning
Reflektion

Digamma.ai CEO Q&A Series: Amar Chokhawala, CEO of Reflektion Reflektion seeks to give retailers a deeper understanding of customer intent. How does your company do this from a technology perspective? In today’s world, everyone is sharing everything. So, the customer’s intent almost starts with temporal signals. When I’m looking for a place to eat in the morning, that means I’m looking mostly at restaurants which are actually serving a breakfast or lunch. Here’s an example of […]

Why Companies Need To Tackle Big Data With Machine Learning

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Big Data / Machine Learning
big data

By 2018, 50,000 gigabytes of data will be created per second. A significant amount of that data will be stored in corporate server farms. A report from IDG found that “[m]anaging unstructured data is growing as a challenge – rising from 31 percent in 2015 to 45 percent in 2016.” IDC’s Digital Universe report found that “the amount of data stored in the world’s IT systems” doubles every two years. On one hand, many companies are […]

Digamma.ai CEO Q&A Series: Oliver Tan, CEO of ViSenze

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Artificial Intelligence / Computer Vision / Machine Learning
ViSenze

Digamma.ai CEO Q&A Series: Oliver Tan, CEO of ViSenze 1. How are you looking to fundamentally change the online shopping experience for both consumers and retailers through ViSenze? Visenze’s mission is simple. We want to simplify the way people discover the visual world with a clear philosophy: “Search not by keyword but by image.” By this, we mean revolutionizing search not by processing standard metadata, but by processing pixels, images, frames and videos and extracting […]

Digamma.ai CEO Q&A Series: Jonas Cleveland, CEO of COSY

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Artificial Intelligence / Big Data / Machine Learning
cosy

Digamma.ai CEO Q&A Series: Jonas Cleveland, CEO of COSY What transformative effects do you intend COSY to have on the retail sector? We describe COSY as an aisle intelligence company that’s using machine vision and AI to improve retail execution and inventory productivity for our customers in retail stores and warehouses. The major trend occurring in retail today is the evolution of the retail store floor into a distribution center.  This is something that COSY […]

Digamma.ai Hosts Panel on AI Infrastructure: Google, Uber AI Labs, Pluto AI and MedNition

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Artificial Intelligence / Machine Learning
digamma-ai

Our latest event, AI’s Potential: From Policy to Posterity, featured an experienced panel of AI and machine learning specialists. Our panelists included:     •    Douglas Bemis, CTO and Co-Founder at Uber AI Labs     •    Gus Katsiapis, Senior Staff Software Engineer at Google     •    Prateek Joshi, Founder at Pluto AI     •    Christian Reilly, Co-Founder of MedNition The event featured wide-ranging discussions on the current state […]

Digamma.ai CEO Q&A Series: Kieran Snyder of Textio

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Artificial Intelligence / Machine Learning
textio

Digamma.ai CEO Q&A Series: Interview with Kieran Snyder, co-founder of Textio 1. You previously worked at Microsoft and Amazon and have a PhD in Linguistics and Cognitive Science. Today, you and your team run Textio, an augmented writing platform that has been used by companies such as Atlassian, NVIDIA, Square, Starbucks, Twitter and Vodafone. How did you and your co-founder and CTO Jensen Harris come up with the idea for Textio back in 2014? We […]

Digamma.ai CEO Q&A Series: Wout Brusselaers of Deep 6 AI

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Artificial Intelligence / deep learning / Machine Learning
deep 6 ai digamma ai

Digamma.ai CEO Q&A Series: Interview with Wout Brusselaers, CEO of Deep 6 AI 1. Deep 6 AI recently won the Enterprise and Smart Data category at SXSW’s accelerator competition and participated in the inaugural SXSW Connect to End Cancer event. What role is Deep 6 taking in the fight to end cancer? We’re not doing any cancer research ourselves. However, Joe Biden, our former Vice President, actually pitched the purpose of our company himself when […]

Digamma.ai Q&A Series: Karen Ouk of mode.ai

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Artificial Intelligence / Big Data / Machine Learning
mode.ai digamma.ai

Digamma.ai Q&A Series: Interview with Karen Ouk, SVP Business Development at mode.ai, which builds AI-powered B2B2C visual chatbots for retailers. 1. mode.ai’s mission is to allow users to rediscover shopping in a more visual, conversational and personalized way. Why is this relevant now on the consumer front? There are three components of our mission: visual search, conversational commerce and personalization. Visual search allows us to offer features that purely text-based search cannot accomplish. For example, say […]