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Multi-Billion Dollar Businesses Benefit From Web Scraping. Can Yours?

In this contributed article, Andrius Palionis,VP of Enterprise Solutions at Oxylabs, discusses how businesses of all sizes can benefit from web scraping. Billion-dollar businesses got to where they are today by leading the industry in technological innovation. That’s because data continues to increase in importance and literally “fuels” the digital age. Smaller companies now have the opportunity to leverage the same technology that provides the critical data needed to thrive on today’s competitive business landscape.

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

The insideBIGDATA IMPACT 50 List for Q3 2021

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

“Above the Trend Line” – Your Industry Rumor Central for 7/13/2021

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.

Video Highlights: Running Effective Machine Learning Teams

In the video presentation below, Niko Laskaris, Data Scientist and Head of Strategic Projects at MLOps solutions provider Comet, hosts a compelling webinar showing you how to address many issues regarding AI/ML. He also shares case studies, and examines the shortfalls of traditional and agile practices applied to ML teams.

How a New AI Mindset for AutoML Will Make Deep Learning More Accessible

In this special guest feature, Yonatan Geifman, CEO & co-founder of Deci, discusses how automated machine learning (or AutoML) can “democratize data science” by gradually implementing different levels of automation.

insideBIGDATA Latest News – 7/6/2021

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.

TOP 10 insideBIGDATA Articles for June 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.

Video Highlights: Thinking Sparse and Dense

The video below, “Thinking Sparse and Dense” is the presentation by Paco Nathan from live@Manning Developer Productivity Conference, June 15, 2021. In a Post-Moore’s Law world, how do data science and data engineering need to change? This talk presents design patterns for idiomatic programming in Python so that hardware can optimize machine learning workflows.

The State of AI and Machine Learning

In the 7th edition of its annual State of AI and Machine Learning report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it […]