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“Above the Trend Line” – Your Industry Rumor Central for 3/30/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

insideBIGDATA Latest News – 3/22/2021

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

ACM Issues Computing Competencies for Undergraduate Data Science Curricula

Recognizing the explosive growth of data science as a field, as well as the demand for data science training at the undergraduate level, a Data Science Task Force convened by the Association for Computing Machinery’s Education Board recently released “Computing Competencies for Undergraduate Data Science Curricula.” The ACM report seeks to define what the computing/computational contributions are to this new field, as well as to provide guidance on computing-specific competencies in data science for departments offering such programs of study at the undergraduate level.

The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments

In this contributed article, Adi Hirschtein, VP Product at Iguazio, discusses the next-level of operationalizing machine learning: real-time data streaming into data science environments. New Stack’s Streaming Data and the Future Tech Stack report (2019) show a 500% percent increase in the number of companies processing data in real-time for AI/ML use cases. And experts posit a more massive increase in the number of companies following this trend as we approach 2021.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Mistakes to Avoid When Starting a Career in Data Science

In this contributed article, IT and digital marketing specialist Natasha Lane, highlights how the shortage of data science talent is dramatic, but there are still a few mistakes you can make getting your foot in the door. These are the types of mistakes that can slow down your initial career progress, so the article covers them to help you make sure you’ll avoid the pitfalls.

“Above the Trend Line” – Your Industry Rumor Central for 3/11/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

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.

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.