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Hope is Not a Strategy for Deriving Value from a Data Lake

In this contributed article, Christian Kleinerman, VP of Product at Snowflake, discusses how the data lake has evolved since arriving on the technology scene 10+ years ago and why organizations need more than “hope” to unlock the potential it promises.

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.

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.’

Interview: Haoyuan Li, Founder and CTO of Alluxio

I recently caught up with Haoyuan Li, Founder and CTO of Alluxio to examine the next critical piece in the data evolution: Data Orchestration – the missing piece in building hybrid and multi-cloud analytical architectures. Haoyuan Li received his Ph.D. from UC Berkeley AMPLab, in Computer Science. At the AMPLab, he created Alluxio (formerly Tachyon) Open Source Data Orchestration System, co-created Apache Spark Streaming, and became an Apache Spark founding committer.

Current Trends in Healthcare Data & Research

In this contributed article, Magnolia Potter describes how as the world continues to become more interconnected, the valuable data generated can be used by the healthcare industry to continue improving patient outcomes, develop new treatments, and even predict public health crises before they become an issue.

Why Alerts Aren’t Enough: The Rise of AI-Driven Automated Analytics

In this special guest feature, Glen Rabie, CEO of Yellowfin, discusses how alerts are commonly used as a basic business intelligence tool, but there’s a better alternative: AI-driven automated analytics. AI has the power to parse the data behind dashboards and send a signal when significant activity happens. Here are five reasons why AI-driven automated analytics are better than alerts in today’s evolving business landscape.