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Beyond Lead Scoring: New Tech Brings Predictive Analytics Deeper into the Funnel to Accurately Forecast Sales Success


In this special guest feature, Dustin Grosse, CEO of ClearSlide discusses the power of predictive analytics, specifically as it relates to the connection between analytics and sales.

Argyle Data Outlines Five Key 2016 Predictions for Native Hadoop Applications


Vikash Varma, President and CEO of Argyle Data, a leader in native Hadoop applications for threat analytics in mobile communications, has provided a perspective on the company’s momentum and industry outlook for 2016. Varma’s predictions for substantially accelerated growth are fueled by the growing need for data-driven applications and fraud analytics for the mobile communications industry that run natively on Hadoop.

Prevedere Releases Next Generation APIs, Enhancing Leadership in Predictive Analytics


Prevedere, a leading big data and predictive analytics solution, today announced a set of proactive integrations that will deliver real-time, big data-driven predictive forecasting ability to Oracle Hyperion, Tableau and Microsoft Excel users.

The Data Science Industry: Who Does What


Our friends over at DataCamp took a look at this avalanche of data science job postings in an attempt to unravel these cool-sounding and playful job titles into a comparison of different data science related careers. The infographic below, “The Data Science Industry: Who Does What”, summarizes the results.

How To Work Through “Analysis Paralysis” And Understand The Difference Between Data Analysis And Data Visualization

Collin Sebastian

In this special guest feature, Collin Sebastian, Chief Product Officer at YouEye observes that the more graphs, maps, reports, and dashboards we use to slice and dice our data, the more time we spend analyzing — and the less time we spend actually making decisions. There’s a solution to this paralysis, and it begins with understanding the difference between data analysis and data visualization.​

Why is Apache Spark So Hot?


An Insider’s Guide to Apache Spark is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new computing framework. As one of the most exciting and widely adopted open-source projects, Apache Spark in-memory clusters are driving new opportunities for application development as well as increased intake of IT infrastructure. This article is the second in a series that explores a high-level view of how and why many companies are deploying Apache Spark as a solution for their big data technology requirements.

Oracle Business Intelligence 12c Helps Organizations Boost Their Digital Transformation Through Agile Visual Analytics


Oracle announced the general availability of Oracle Business Intelligence 12c (BI 12c), designed to deliver an entirely new experience for blending and visually analyzing any data in an enterprise-scale analytics platform.

Andrew Ng Talks Deep Learning at Bay Learn 2015


In this short presentation, Dr. Andrew Ng (world renowned deep learning luminary, Chief Scientist of Baidu; Chairman and Co-Founder of Coursera; Stanford CS faculty) talks about what’s going on with deep learning and how it is rapidly changing the problem domains that can be addressed with machine learning. In particular, Ng announces a deep learning […]

Predictive Intelligence, or How AI Transformed Selling in the Enterprise

Manoj Ramnani

In this special guest feature, Manoj Ramnani CEO of CircleBack higlights the trend of AI in the enterprise and how it’s affecting sales/marketing.​

Software AG Adds Predictive Analytics & New IoT Industry Standards to Apama


Software AG (Frankfurt TecDAX: SOW) announced the availability of the Apama Streaming Analytics platform Release 9.9. Apama is a leading platform for streaming analytics and intelligent, automated action on fast-moving Big Data.