Data in the Cloud - at IBM Pulse
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Next week is the annual conference IBM Pulse (#IBMPulse) that is the premier cloud conference.
February 23 - 26
MGM Grand - Las Vegas, Nevada.
BLU will be well represented with a few great sessions, speakers, demos and announcements. Click the title to add these sessions to your agenda.
Speaker: Leon Katsnelson @katsnelson
Session Number: PAAS-2168
Date/Location: Mon Feb 24, 1:00 p.m. – 2:00 p.m. Room 116
IBM’s BLU Acceleration is a game-changer in the area of data warehousing and analytics. When paired with the cloud infrastructure and business model, BLU Acceleration opens up the world of analytics to clients who might not previously have had the resources to benefit from business intelligence (BI) technology.
In this session, you’ll learn how almost anyone can experience the benefits of BI without lengthy project approval lead times or large capital investments. You’ll also learn how to work on multi-terabyte data sets using IBM Cognos and many other popular reporting and dashboard solutions. For the data scientists, there is R statistical programming and visualization as well as integration with IBM SPSS, SAS and other predictive analytics tools. And for the spreadsheet wranglers, there is integration with Excel.
Speakers: Maria Schwenger, IBM; Thomas Jackman, Desert Research Institute
Session Number: CET-1591
Date/Location: Mon Feb 24, 1:00 p.m. – 2:00 p.m. Room 121
The environmental research arm of the Nevada System of Higher Education, Desert Research Institute is a global leader in environmental sciences. This session shares DRI’s innovative experience of utilizing pattern-based delivery on PureApplication to support deployments of a wide variety of applications and business analytics. The session will review the business values and the technical drivers for such an approach for scientific research applications. It provides a great way for business owners and technical professionals to come together and exchange experiences in this innovative way around the deployment, management and maintenance of business-critical applications.
Speakers: Maria Schwenger, IBM; Erwin Salazar, WellPoint
Session Number: PAAS-1939
Date/Location: Mon Feb 24, 3:45 p.m. – 4:45 p.m. – Room 115
This session shares customers' experiences using Data
Speakers: Leon Katsnelson @katsnelson, Adam Ronthal
Date/Location: Mon Feb 24, 4:50 pm - 5:05 pm – Hakkasan Nightclub
Speaker: Luis Casco-Arias @cascoarias
Session Number: ADSSB-2139
Date/Location: Mon Feb 24, 5:00 p.m. – 6:00 p.m. Room 110
In a rush to leverage the many advantages of big data analytics, many enterprises overlook a key issue: the data that are entered into the platform, and the insights they glean from the data, are both highly sensitive. Oftentimes, there are no tight security or audit controls over the privileged information. Attend this session and learn about additional security and audit controls you can apply to confidently deploy big data into your production environments.
•Building Next Generation Applications Using Hybrid SQL / NoSQL
Speaker: Richard Wozniak
Session Number: 2928
Date/Location: Mon Feb 24, 6:30 p.m. - 6:50 p.m. EXPO Theater 2
Speaker: Kimberly Madia @madiakc
Session Number: AMA-1982
Date/Location: Tue Feb 25,10:00 a.m. – 11:00 a.m. Room 301-302
The City of Boston is implementing new solutions to address some of its longstanding challenges. Attend this session to learn how Boston is using big data to improve city service delivery and preparedness. Boston's data-driven approach includes the use of analytics and predictive modeling tools for enhanced visualization and analysis. By improving decision-making and achieving better outcomes, Boston is well on its way to becoming a Smarter City.
Speakers: Kimberly Madia @madiakc; Rav Ahuja @ravahuja
Session Number: PAAS-1977
Date/Location: Tue Feb 25, 3:45 p.m. – 4:45 p.m. – Room 116
Big data is a big deal, but many are fatigued by the chatter and ready for action. Enter advanced real-time analytics on constantly changing data in motion to enable truly data-driven decisions where and when you need them most. IBM offers a cloud-based big data solution to allow you to quickly ingest, analyze and correlate information as it arrives from thousands of sources without the burden of managing all operations in-house. The era of big data requires sub-millisecond response times and extremely high throughput rates to enable insight and action on millions of events or messages per second. In this session we will discuss how to pull any amount of data, from any number of sources, scaling up and down as needed. We will explore the depth and breath of analytics available to you such as text, geospatial, sensor, video and more. Finally, we will explore case studies like Globe Telecommunications, which used real-time analytics to improve marketing promotion effectiveness.
•Data Warehousing for Everyone – Find out how
Speaker: Adam Ronthal, IBM
Session Number: 2927
Date/Location: Tue Feb 25, 5:00 p.m. - 5:20 p.m. EXPO Theater 1
Speakers: Kimberly Madia @madiakc, IBM; John Russell
Session Number: NSM-1981
Date/Location: Wed Feb 26, 10:45 a.m. – 11:45 a.m. – Room 107
Communication Service Providers now have a unique opportunity to analyze how their networks are used to increase customer satisfaction, reduce customer churn, drive new revenue through targeted service offerings, and lower operational and capital expenditure. Learn how clients are using IBM's Advanced Analytics Platform (including Big Data) to their advantage. This session will also cover IBM's recent acquisition of The Now Factory, and how these solutions complement Netcool's operations solutions.
Speaker: Rav Ahuja @ravahuja
Session Number: SAAS-1500
Date/Location: Wed Feb 26, 2:15 p.m. – 3:15 p.m. – Room 117
Big data and cloud computing are among the hottest trending technologies of the year, and together offer a powerful combination. Learn when and why to move big data to cloud. Discover various public and private cloud options for big data from IBM. Find out how to move big data to the cloud and how best to leverage Soft
With this session, you’ll learn:
1) Why cloud for big data;
2) When cloud makes sense, use cases and applications;
3) Options and offerings from IBM;
4) How to move to cloud;
5) Best practices and pitfalls.