As the largest and longest-running conference and trade show dedicated to showcase the complete IoT industry chain in Asia, the 9th Shenzhen International Internet of Things Exhibition will open its doors from Aug 16-18 this year, at Shenzhen Convention & Conference Center.
People with visual impairments are often shut out from hot careers in STEM fields, including analytics and data science. Why? Because the technology is not accessible. That is changing, thanks to SAS® Graphics Accelerator. The software provides unparalleled access to data visualization and data science for people with visual impairments.
In this contributed, Amir Noghani, SEO specialist and the general manager at Green Web Marketing, takes a look at Google’s RankBrain, its machine learning, artificial intelligence system, and how it is forcing curators of website content to do what they should have been doing all along, creating quality content for their websites.
It is estimated that data preparation eats up as much as 80% of data analysts’ time, leaving less bandwidth for actual analytics and significantly reducing a data lake’s return on investment. To dramatically speed up data ingestion and data preparation in the data lake, Zaloni offers a new solution, Ingestion Factory, which can help enterprises successfully hydrate and organize a production-ready data lake in weeks.
Alooma, the modern data pipeline company, announced Alooma Live, a real-time visualization tool that enables data scientists and engineers to monitor data streams in transit. It allows enterprises to monitor behavior and identify discrepancies to correct data integrity problems before they can impact data warehouse and business intelligence (BI) applications.
In this contributed article, Alexey Sapozhnikov, CTO and Co-Founder of prooV explores how ideas move from concept to product through various forms of testing. Just as scientists use laboratories, enterprises (in theory) generate test environments to evaluate the potential and compatibility of new technologies before implementing them. Executives understand the importance of using test environments to minimize security risks, but are understandably fearful of inaccurate results based on their experiences with fake data. With the introduction of Deep Mirroring and Predictive Analytics technologies for testing, fake data should no longer be a concern—it should simply be embraced as a tool in the process of innovation.
ViSenze, the artificial intelligence company that develops breakthrough visual technology for e-commerce and digital businesses, released data on the rising demand for visual search and discovery capabilities. In 2016, ViSenze processed over 350 million image queries on shopping platforms around the globe – a 250 percent increase over 2015. This means nearly one million queries a day were generated by shoppers on shopping platforms around the world.
The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the sixth and final in a series of articles providing content extracted from the guide. The topic for this segment is deep learning and AI success stories.
Cloudera to Accelerate Data Science and Machine Learning for the Enterprise with New Data Science Workbench
Cloudera, the provider of a leading platform for machine learning and advanced analytics built on the latest open source technologies, today unveiled Cloudera Data Science Workbench, a new self-service tool for data science on Cloudera Enterprise which is currently in beta.
I recently caught up with Joe Pasqua, Executive Vice President of Products at MarkLogic, to discuss how the move to the cloud poses one of the biggest IT opportunities in decades and a host of new challenges. Not only will it change how companies use Big Data, but it’ll vastly increase their speed and agility in being able to do so. Yet this new world is not without risk.