You might not think about it often, there's a flip-side to the convenience that you and I receive from carrying around now-ubiquitous mobile devices. As the number of Smartphones is expected to quadruple over the next 4 years, reaching 2 billion devices by 2015, the communication services providers (CSPs) that connect those devices and route all the data to and from them are being placed under more and more pressure to maintain service levels, offer new capabilities, and still maintain their profitability.
IBM (NYSE: IBM) today announced a new network intelligence analytics appliance to help communications services providers (CSPs) analyze up to petabytes of customer and network data in minutes. The new appliance gives CSPs the power to turn their data into valuable insights to enhance the customer experience, secure new customers, generate cost savings, and track the overall health of the network.
CSPs are challenged to boost revenue and keep costs low at a time when customers are demanding more data-intensive products and services. The explosion of Smartphones, tablets and other mobile devices means consumers can do just about anything on the go, from checking the weather to watching movies, and posting to Twitter or Facebook while downloading music. This digital lifestyle has consumers crunching ever-growing amounts of data for browsing, streaming video, gaming, and social networking, placing a strain on network resources.
The IBM Netezza Network Analytics Accelerator addresses this issue and provides an analytics platform that CSPs can use to improve network performance and gain insights on customer experiences. Using the new appliance, CSPs can slice and dice customer data to analyze calling plans and contract terms to see which are driving revenue, understand how each customer is using voice and data packages and the impact on network resources, and spot new market opportunities by learning how customers use different types of handsets. ... Most network analytic offerings only look at specific systems or network devices, retain certain information for a short amount of time, and have limited reporting capabilities and rigid data access. This inhibits a CSP's ability to identify patterns and trends or ask questions on-the-fly. Netezza analytics can view all customer data and speed up the flow for instant analysis on demand.
Watson Analytics Beta Now Available
Thu, Dec 4th 2014 9:11p Adam Gartenberg Watson Analytics is now live in beta. If you haven't already signed up, there's no time like the present. ARMONK, N.Y. - 04 Dec 2014: IBM (NYSE: IBM) today announced that Watson Analytics, a breakthrough natural language-based cognitive service that can provide instant access to powerful predictive and visual analytic tools for businesses, is available in beta. See Vine(vine.co/v/Ov6uvi1m7lT) for a sneak peek now. IBM Watson Analytics automates the once time-consuming tasks such as data pr [read] Keywords: ibm
Go Inside Watson Analytics (Live Video Chat)
Mon, Dec 1st 2014 12:11p Adam Gartenberg If you'd like to learn more about Watson Analytics, head on over here at 12pm ET on December 4th for a live video chat with big data experts to learn more about what led to its development and how it's being used in the real world. Go Inside Watson Analytics December 4, 2014 | 12:00PM ET Are you ready to Go Inside Watson Analytics, IBMâs new tool that gives business users access to powerful analytics at their fingertips? Uncover the genesis and development of the new tool with I [read] Keywords: ibm
Recap: Insight 2014 Day 3 General Session
Thu, Oct 30th 2014 10:12a Adam Gartenberg I found the Day 3 general session of Insight 2014 to be quite interesting for a number of reasons. Captain Richard Phillip's first-hand account of his ordeal and rescue was fascinating, and Kevin Spacey's keynote was one of the more inspiring messages at a conference like this. On the business side, the challenges faced by Singapore in identifying illegal or dangerous activities in and around their ports was eye opening, and then of course there was the little matter of the landmark partners [read] Keywords: ibm
IBM and Twitter partner on data analytics
Wed, Oct 29th 2014 7:12p Adam Gartenberg Today's general session from Insight 2014 was interesting for a number of reasons (including an inspiring talk by Kevin Spacey), but I want to draw attention to an announcement made right in the middle of it: IBM's partnership with Twitter to integrate all tweets (sinceTwitter's inception) and full ongoing live stream into IBM's cloud-based analytics, customer engagement platforms and consulting services. From the Wall Street Journal article on the partnership: IBM will have access to [read] Keywords: ibm
When it comes to analytics, are you a spectator or a front runner?
Tue, Oct 28th 2014 3:12p Adam Gartenberg Last week IBM's Institute for Business Value released their latest analytics study. The important takeaway this time around: The need for speed. In 2014, several significant shifts occurred in the realm of big data â shifts business executives cannot afford to ignore. The most significant change: Velocity is now the value driver for big data. Enter the speed advantage. Our sixth annual analytics study revealed a small group embracing this shift for competitive advantage. These orga [read] Keywords: ibm
How to follow IBM Insight from home
Mon, Oct 27th 2014 9:19a Adam Gartenberg I'll be following the IBM Insight conference from afar this year, and if you didn't make it out to Las Vegas yourself, there are still plenty of ways to stay in the loop. First, head on over to the InsightGO site and register to watch the general sessions and keynotes via live stream (starting up soon - 8:15am PT/11:15am ET today). I'm particularly interested in hearing what Kevin Spacey has to say about how data and analysis is influencing "House of Cards." You can also keep up to date vi [read] Keywords: ibm
Watson Analytics in Action (demo)
Thu, Oct 9th 2014 3:11p Adam Gartenberg Do you want to see how easy it is to add data and see the resulting analysis from Watson Analytics? Here's a demo of how a fast food chain could analyze the impact of different marketing campaigns they tried out in test markets. [read] Keywords: ibm