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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.

ActiveViam Launches its Data Lab to Help Companies Find Insights into their Future

ActiveViam, a leader of in-memory analytics solutions for operational decision making, announced the creation, within the company, of a new entity specialized in Data Science. This Data Lab, attached to the R&D department of ActiveViam Paris, is dedicated to enhancing the forecasting capacity of its customers and prospects by providing them with richer insights into their markets, operations and customers.

Pattern89 Introduces New Marketing AI Tools for Social Media Advertising Life Cycle

Pattern89, a marketing technology company revolutionizing social media marketing through artificial intelligence (AI), announced the launch of new tools to maximize and understand ad performance at every stage of the digital advertising life cycle. The new set of capabilities, collectively called Voyager, contains four features to help digital marketers push creative, optimization and performance limits to new heights with the help of AI. These updates bring a better level of transparency and insight to AI-backed results than ever before.

Advanced Analytics Platform Mode Launches New Technology, Helix, an Instant, Responsive Data Engine

Advanced analytics software provider Mode announced the availability of the first instant, responsive data engine, Helix, that fundamentally changes how companies can explore and extend analysis. Helix creates the dual backbone between modern business intelligence and interactive data science. By combining these workflows, data scientists no longer have to choose between shipping fast, one-off answers and building dashboards for broader coverage.

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.

New Survey: Nearly Two Thirds of Analytics Projects Are Jeopardized Due to Poor Access to the Right Data

According to the 2019 Data Decisions Survey from analytics database provider Exasol, 57% of organizations have suffered because of slow or poor access to the right data, resulting in an inability to access real-time analytics and inaccurate business intelligence (BI). Full results of the survey, recently released, highlight how organizations are leveraging data to make more intelligent and productive business decisions.

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.