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 second in a series of articles providing content extracted from the guide. The topic for this segment is the difference between AI, machine learning and deep learning.
The latest big data news and articles
Cluvio, the first cloud analytics SaaS platform to offer combined power of SQL and R for data science and visualization, announced the launch of new pricing options, including Cluvio Free and Cluvio Starter plans, to simplify the entry into the data-driven era for Small and Medium Enterprises.
In this contributed article, Gladys Kong, CEO of UberMedia discusses how the explosion of mobile data, and specifically mobile location data over the past few years, has brought about an incredible opportunity for businesses.
In this contributed article, Mika Javanainen, Senior Director of Product Management at M-Files Corporation, highlights the virtue of employing metadata (little data), which is defined as “data about data” as part an enterprise big data strategy to garner more business value.
Conversica, Inc., a leader in artificial intelligence-powered business conversations, announced significant enhancements to its flagship product, the Conversica® AI Sales Assistant. Conversica leverages artificial intelligence (AI) to take on routine business conversations like contacting and qualifying sales leads, freeing up human salespeople to close more deals.
Panoply.io, the self optimizing analytics infrastructure company, announced results from its survey at AWS re:Invent end of 2016. 833 attendees shared feedback about data warehouse trends, where 80% of the tools are now cloud-based versus on-premise. 60% of respondents found their data warehouse difficult to manage and too complex. Interestingly, 61% of respondents were currently not using any ETL tool at all, 25% using no business intelligence tools at all.
The Customer Experience Has Evolved Thanks to IoT – The Time is Now for Contact Centers to Take Charge
In this special guest feature Jack Nichols, Director of Product Management at Genesys, discusses IoT and how with all this data available in near real-time, businesses must determine how to leverage it in a way that equally serves themselves and their customers.
Radius, a leading business-to-business predictive marketing platform, announced the addition of Radius Data Stewardship to its solutions. With Radius Data Stewardship, marketers have access to the highest quality data for deriving precise insights that expand visibility into new and existing markets, effectively informing decisions for campaign planning and more accurately predicting and driving pipeline growth.
This is the sixth and final article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll provide a series of “best practices” and “lessons learned” for what companies are seeking from deploying IoT analytics.
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. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We present the results of a recent insideBIGDATA survey, “insideHPC / insideBIGDATA AI/Deep Learning Survey 2016,” to see how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains.