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Interview: Luminati CEO, Or Lenchner

I recently caught up with Or Lenchner, CEO at Luminati, to discuss his company’s Data Collector product, an automated data collection tool, allowing customers to collect the most accurate data at scale quickly, easily, and without getting blocked. The Data Collector integrates and automates all stages of the data collection process for customers but leaves them in full control over the data they collect.

TOP 10 insideBIGDATA Articles for February 2021

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Data Evolution in the Cloud: The lynchpin of competitive advantage

This report from our friends over at Snowflake reveals the extent to which the data sharing economy is powering business growth and how organizations are leveraging data from a range of sources to drive innovation, create better customer experiences, and meet regulatory requirements.

AI and 3D: A New Era of Geospatial Intelligence

In this special guest feature, San Gunawardana, Co-founder and CEO of Enview, discusses the marrying of AI and mapping, and why the two matter for the future of national security, disasters, infrastructure and city planning.

Interview: Targeting is Becoming a Data Science Problem

I recently caught up with Miguel Araujo, Director of Data Science at Semasio, to explore the question: with the impending loss of the cookie and changing nature of tracking user IDs, what does the future of targeting look like? Moving forward, advertisers must reference and merge a plethora of user attributes to make predictions about target audiences. As such, the traditional boundaries of targeting will begin to erode — becoming more of a data science problem.

Video Highlights: Why Do ML Models Fail?

Our current machine learning (ML) models achieve impressive performance on many benchmark tasks. Yet, these models remain remarkably brittle, susceptible to manipulation and, more broadly, often behave in ways that are unpredictable to users. Why is this the case? In this talk by Aleksander Madry, Professor of Computer Science, Massachusetts Institute of Technology, we identify human-ML misalignment as a chief cause of this behavior.

Zorroa Launches Boon AI; No-code Machine Learning for Media-driven Organizations

Zorroa Corp., a leading provider of accessible machine learning (ML) integration solutions backed by Gradient Ventures, Google’s AI-focused venture fund, today officially launched a first-of-its-kind ML SaaS platform, Boon AI. Boon unlocks the ML API ecosystem through a single point-and-click visual interface, reducing cost of ML adoption and making ML accessible as a competitive differentiation in media-driven organizations.

Data Evolution in the Cloud: The lynchpin of competitive advantage

These questions are the focus of this report, based on a survey conducted by The Economist Intelligence Unit and sponsored by Snowflake. It reflects the views of 914 executives from  eight industries across 13 countries worldwide and explores the current state of corporate  data use, as well as executive hopes for the future. In particular, the goal is to illuminate how  different industries are adapting their data strategies, engaging with the broader data  ecosystem, and converting data insights into growth and performance.

AI is Real Estate’s Secret Weapon for Efficiency, Accuracy and Customer Satisfaction

In this special guest feature, Nick Vandivere, CEO of ThoughtTrace, discusses how AI is real estate’s secret weapon for efficiency, accuracy and customer satisfaction. When a business can locate the critical information in their contracts in a timely manner, they’re empowered to reduce waste, capitalize on newfound opportunities, and increase their bottom line.

Prophecy.io Launches Low Code Data Engineering SaaS Platform for Spark with $6M investment

Prophecy.io announced the rollout of the new SaaS version of its unique low code data engineering platform, the only solution designed for data practitioners. Prophecy helps businesses accelerate the development and deployment of data pipelines so that massive incoming data streams can be prepared for analytics and machine learning.