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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.

insideBIGDATA Latest News – 3/9/2021

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.

NVIDIA A100, A40 and NVIDIA RTX A6000 Ampere Architecture-Based Professional GPUs Transform Data Science and Big Data Analytics

Scientists, researchers, and engineers are solving the world’s most important scientific, industrial, and big data challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. NVIDIA Ampere architecture-based products, like the NVIDIA A100 or the NVIDIA RTX A6000, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge and creativity forward.

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.

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.

How Third-party Data Can Enable Better Business Insights

Join this virtual event with Stephen Orban, author of Ahead in the Cloud and General Manager of AWS Data Exchange. He will lead a panel discussion with AWS customers to discuss the innovative techniques being used in data pipelines, with data analysis, and for data visualization. You will hear about real-world initiatives and breakthroughs being enabled by third-party data.

How Machine Learning and Data Science Can Advance Nutrition Research

In this special guest feature, Kyle Dardashti, CEO & Founder of Heali, discusses how machine learning and data science bring exciting potential to the world of personalized nutrition. Combining these two technologies together on a cohesive platform that supports continuous tracking would allow for real-time validated nutrition recommendations tailored to an individual’s lifestyle.