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How NLP and BERT Will Change the Language Game

In this contributed article, Rob Dalgety, Industry Specialist at Peltarion, discusses how the recent model open-sourced by Google in October 2018, BERT (Bidirectional Encoder Representations from Transformers, is now reshaping the NLP landscape. BERT is significantly more evolved in its understanding of word semantics given its context and has an ability to process large amounts of text and language.

How to Choose the Right Organizational Model for Data Science and Analytics

In this special guest feature, Martijn Theuwissen, a co-founder at DataCamp, highlights how the most competitive companies prioritize developing data fluency across their workforce to improve outcomes. Organizations that aren’t able to effectively make use of their available data today are already behind the curve.

Six Platform Investments from Intel to Facilitate Running AI and HPC Workloads Together on Existing Infrastructure

Because HPC technologies today offer substantially more power and speed than their legacy predecessors, enterprises and research institutions benefit from combining AI and HPC workloads on a single system. Six platform investments from Intel will help reduce obstacles and make HPC and AI deployment even more accessible and practical.

The insideBIGDATA IMPACT 50 List for Q4 2019

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!

Book Excerpt: Defining Data Models

The following article is an excerpt (Chapter 3) from the book Hands-On Big Data Modeling by James Lee, Tao Wei, and Suresh Kumar Mukhiya published by our friends over at Packt. The article addresses the concept of big data, its sources, and its types. In addition to this, the article focuses on giving a theoretical foundation about data modeling and data management. Readers will be getting their hands dirty with setting up a platform where we can utilize big data.

Accessible and Affordable – Big Data for Small Business

In this special guest feature, David Zimmerman, CEO of LC Technology International, Inc., believes that small business owners that feel big data is just for the “big players” are in for a surprise when they check out the latest small business analytics tools. These tools are more accessible both in terms of cost and their actual user interfaces, making them usable by people with only moderate technical skill.

Big Data and Its Role in the Waste and Recycling Industry

In this contributed article, freelance human Avery Phillips believes that the advent of big data is making the whole process of recycling and waste management much easier. In fact, big data has impacted many industrial and scientific realms in ways that benefit the environment. For example, it is regularly used to help scientists and land managers gain a better understanding of our changing environment and ways to combat climate change.

Big Models are Carbon Efficient if you Share Them

Dr. Samuel Leeman-Munk, research statistician developer at SAS, and Dr. Xiaolong Li, staff scientist at SAS, explore the carbon emissions generated through training a high-performing NLP model, and offers examples and best practices for how these models can benefit hundreds of other researchers and millions of customers to paint a less dire picture of AI’s effect on the environment.

Turning IT Upside Down In a Machine Learning World

In this special guest feature, Chris Heineken, CEO and Co-founder of Atrium, suggests that as Machine Learning (ML) is growing in the IT and cloud space, understanding how to best utilize its capabilities will change the approach to implementing new IT investments. The systems of intelligence characterized by augmented ML, robust analytics, and workflow-based frameworks biased towards action, will dominate the mindset of those looking to place their organizations at the top end of the IT systems ‘bell curve.’

Wearable AI Market to Cross USD 180 Billion Frontier by 2025

The Wearable AI Market is set to grow from its current market value of more than USD 35 billion to over USD 180 Billion by 2025; as reported in the latest study by our friends over at Global Market Insights, Inc. The explosive growth of smartwatches has been the primary factor propelling the wearable AI market. Continuous improvements in the design and functionality along with its availability at lower price increased its adoption among consumers.