In this special guest feature, Dean Yao, Director of Marketing at Jinfonet, discusses his 3 top considerations for embedding analytics into your product.
In this special guest feature, Scott Gnau, CTO of Hortonworks, welcomes us to the future of data where the modern data application will need to be highly portable, containerized and connected.
In this special guest feature, Devavrat Shah, professor in MIT’s Department of Electrical Engineering and Computer Science, discusses how organizations must become efficient and able “data science machines” in order to succeed in our new digital world.
In this special guest feature, Gary Orenstein, Chief Marketing Officer at MemSQL, highlights how entire industries such as energy, retail, finance, and the public sector are dramatically impacting their businesses by the ability to analyze real-time and historical data together to unlock the potential of IoT.
In this special guest feature, Yana Yelina from EffectiveSoft, discusses the problems and potential solutions in enterprises to address a rising volume of documents and the ability to effectively utilize data stored in document silos.
In this special guest feature, Dr. Ritu Chadha, IEEE Senior member, Executive Director at Vencore Labs, explains one commercial application of machine learning and information theoretics, among other techniques, to big data to reduce human suffering.
In this special guest feature, Alexander Khaytin, COO for Yandex Data Factory, explains how businesses can introduce “data democracy” and systematic testing and how agility can be introduced into even the most inflexible of organizations, overcoming the barriers prohibiting machine learning adoption and benefit.
In this special guest feature, Charlie Greenberg, Senior Global Product Marketing Manager at Software AG, discusses why integration is only as good as your data, and how a business can ensure superior data quality to drive better integration.
In this special guest feature, Kerry Liu, CEO and founder of Rubikloud, discusses the importance of machine learning in maximizing the use of customer behavior data in the retail sector.