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The latest big data news and articles

The Zenith of Natural Language Technologies: Conversational AI

In this contributed article, editorial consultant Jelani Harper discusses how the junction of natural language capabilities enables what Arria NLG CEO Sharon Daniels termed “answers on demand”, which is pivotal for interacting with analytics, Business Intelligence, and workflows in a rapid, conversational manner that’s influential for setting the pace of business today.

MLOps Graduates to Enterprise Model Management (and what that means for global enterprise)

In this special guest feature, Mrinal Chakraborty, DISC Solution Leader at Pactera EDGE, discusses six core aspects of MLOps which are augmenting Enterprise Model Management. The MLOps market will be over $4 Billion in just a few years, and promises to be a major component of the AI solution landscape shortly – but many enterprises are slow to evolve to machine learning lifecycle management which promises to make ML more reliable by defining the processes of its development and deployment.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2020

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 Rise of the Data Engineer

In this contributed article, Nir Bar-Lev, CEO of Allegro AI, discusses how organizations that have recognized this need are now moving quickly to restructure their AI teams by introducing Data Engineers into the process; this adjustment gives them a clear advantage over the competition still struggling ‒ and failing ‒ to force their Data Science team to effectively function within their existing IT or R&D organizational structure.

The State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and UK, this whitepaper explores the data management challenges organizations are facing, the vital role data warehouses play, and the road to success.

HuBMAP Inaugural Data Release Puts Detailed Anatomical Data about Seven Human Organs at the Service of Scientists, Public

HuBMAP (the Human BioMolecular Atlas Program) has released its inaugural data for use by the scientific community and the general public. Included in this release are detailed, 3D anatomical data and genetic sequences of healthy tissues from seven organ types, at the level of individual cells as well as many bulk tissue data sets. HuBMAP’s ultimate goal is to provide the framework required for scientists to create a 3D atlas of the human body.

Infographic: AI Innovators – The Countries & Companies Leading in AI Patents

With Artificial Intelligence (AI) continually progressing and developing, it’s unsurprising that many companies are aiming to lead in the AI technology market – especially given that the global AI market is on track to be worth over $118 billion by 2022. But which companies are currently leading the way for innovation when it comes to AI? To find out, our friends over at RS Components analyzed AI patent applications in order to find out which brands are at the forefront of AI innovation.

Video Highlights: BigQuery + Notebooks: Building an Analytics Pipeline on Kaggle

Your architecture choices impact how efficiently you’re able to use your data. In this “Snapshots” video produced by Kaggle, Data Scientist Wendy Kan demonstrates how she incorporates BigQuery and Kaggle Notebooks into her workflow. Watch her create an interactive network analysis graph that explores the most commonly installed Python packages!

Starting A Successful AIOps Initiative

In this special guest feature, Hari Miriyala, VP Software Engineering at cPacket Networks, discusses how many enterprises are considering or deploying AI/ML tools to make their IT team more efficient, reduce troubleshooting time, or improve their organization’s security. But without the right foundation of accurate, precise and consistent input data, this move to AIOps provides little value.

“Above the Trend Line” – Your Industry Rumor Central for 9/4/2020

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.