Archivo de la categoría: IBM

Chris Moody, Glenn Finch, IBM, News & Analysis, Social media, Twitter, Vendor

IBM says over 100 enterprises creating Twitter-integrated cloud services

Twitter and IBM are jointly deliver solutions leveraging IBM's technology and consulting expertise with Twitter's vast data troves

Twitter and IBM are jointly deliver solutions leveraging IBM’s technology and consulting expertise with Twitter’s vast data troves

IBM said it has over 100 pilots in place that see the company working with enterprises in a range of verticals to create cloud-based services integrated with Twitter. The move comes months after the two companies inked a deal that would see Twitter make its data stream available to Big Blue’s clients.

IBM said the move enables social data-enabled application development via Bluemix, and the ability to combine predictive analytics and Watson services with Twitter data in compelling ways.

The company also said it has over 4,000 service professionals well-versed in Twitter data integration who are on hand to help enterprises integrate Twitter in their applications

“So much of business decision making relies on internal data such as sales, promotion and inventory. Now with Twitter data, customer feedback can easily be incorporated into decision making,” said Chris Moody, vice president of data strategy at Twitter. “IBM’s unique capabilities can help businesses leverage this valuable data, and we expect to see rapid demand in retail, telecommunications, finance and more.”

Glenn Finch, global leader of big data & analytics for IBM Global Business Services said: “The unprecedented partnership between IBM and Twitter helps businesses tap into billions of real-time conversations to make smarter decisions. Through unique expertise, curation and insights Twitter data is now able to inform decision-making far inside organizations”

IBM and Twitter originally announced the collaboration, which focuses on three distinct areas, in October last year, making IBM one of just a handful of companies to have full access to Twitter’s entire data stream.

Twitter offered up its data for developers to integrate into their big data applications built on IBM’s Watson Developer Cloud or Bluemix.

IBM and Twitter said they would jointly develop enterprise applications that integrate Twitter data with IBM’s customer engagement solutions (ExperienceOne) that help users map sentiment behaviour in real-time.

And the companies also planned to jointly develop solutions for specific industries such as banking, consumer products, retail, and travel and transportation, with IBM throwing its vast consulting resources behind the effort.

Amazon AWS, Amazon Web Services, Cloud computing, Hewlett-Packard, IBM, Microsoft, OpenStack, Research

Cloud Computing Entering Hypergrowth Phase

Cloud services and cloud platforms are now an undeniable part of the IT landscape. Forrester research indicates the shift has begun from exploration of cloud as a potential option, to rationalization of cloud services within the overall IT portfolio.

Cloud platforms, most notably Amazon Web Services, were only collectively $4.7 billion last year but are maturing quickly thanks to stronger recent solutions from traditional IT partners IBM, HP and Microsoft. The growth in use, maturity, and financial viability of public cloud platforms are proving their longstanding value as legitimate deployment options for enterprise applications. While not a one-for-one replacement for on-premise, hosting, or colocation, cloud platforms fit well as ideal deployment options for elastic and transient workloads built in modern application architectures.

For applications and services built in an agile mode with modern architectures, discrete cloud services, such as database, storage, integration and other standalone cloud middleware components, will empower developers by freeing them from the management and maintenance of these components and reduce overall deployment footprint and cost. They are also managed and enhanced by vendors as often as daily delivering new capabilities that can help a company maintain pace with the changing desires of an empowered customer base

As the largest clouds continue to invest in efficiencies that can only be achieved at their massive scales, the gulf between the cost efficiencies that can be had from the cloud and what is possible on-premise or through other outsourcing and hosting options will widen dramatically.

How Forrester came to these conclusions.

Aspera, Big Data, IBM, M&A Activity

IBM Acquires Aspera for Fast Big Data Transfer

IBM today announced it has entered into a definitive agreement to acquire Aspera, a privately held company based in Emeryville, California. This provides IBM with new and complementary capabilities to better enable companies to move Big Data, on premise or in the cloud, at global distances with the speed required by today’s business.

Aspera’s patented extreme file transfer technology accelerates the secure transfer of large files and large collections of files by up to 99.9 percent – reducing a 26 hour transmission of a 24 gigabyte file, sent halfway around the world, down to just 30 seconds. This speed is powered by Aspera’s patented” fasp protocol”, which breaks the bottlenecks inherent in broadband networks to achieve high performance, efficiency and security in the most difficult WAN environments. Recently awarded an Emmy for engineering, Aspera is used at virtually every major Hollywood studio, cable provider and pharmaceutical company with leading brands such as Netflix, PBS and Universal Studios.

IBM, M&A Activity, Marketing, Messaging, Mobile, Short Message Service, SMS, Xtify

IBM Acquires Mobile Messaging Startup Xtify

IBM today announced the acquisition of Xtify Inc., a ventured-backed company based in New York City. Xtify provides mobile messaging tools via the cloud to help organizations increase mobile sales and improve brand loyalty. Xtify mobile capabilities will be delivered through IBM’s SaaS portfolio and will run on IBM’s SoftLayer cloud infrastructure.

Xtify will expand IBM’s Smart Commerce initiative helping CMOs, digital marketers, mobile application developers with mobile campaign creation, content targeting, dynamic real-time segmentation and analytics across all mobile device platforms and browsers. Xtify’s technology is designed to deliver real-time, personalized offers via in-app mobile messages and push notifications.

The acquisition of Xtify has implications across IBM’s business: 

  • Xtify will expand IBM’s Smarter Commerce initiative to help digital marketers develop relevant push notifications delivered via mobile devices and browsers. Smarter Commerce is among IBM’s most profitable business units boasting more than $3.5 billion in acquisitions since 2010.
  • As part of IBM’s MobileFirst strategy, Xtify will make it easier for developers building mobile applications using IBM’s WorkLight platform to deliver relevant and timely cross-channel marketing messages to customers based on open standards.

CSL International, IBM, Israel, M&A Activity, Virtualization, zEnterprise System

Breaking: IBM Acquiring CSL International

IBM today announced a definitive agreement to acquire CSL International, a  provider of virtualization management technology for IBM’s zEnterprise system. CSL International is a privately held company headquartered in Herzliya Pituach, Israel.

The zEnterprise System enables clients to host the workloads of thousands of commodity servers on a single system for simplification, improved security and cost reduction. The combination of IBM and CSL International technologies will allow clients to manage all aspects of z/VM and Linux on System z virtualization, including CPU, memory, storage, and network resources.

hybrid cloud, IBM, M&A Activity, Private Cloud, SmartCloud, SoftLayer

IBM Acquiring SoftLayer for Private Cloud Infrastructure

IBM is acquiring SoftLayer, a privately held cloud infrastructure provider. IBM hopes SoftLayer will enable IBM to  marry the security, privacy and reliability of private clouds with the economy and speed of a public cloud, with Fortune 500 companies the target market.

IBM says the majority of the Fortune 500 have concerns about how cloud will work with the IT investments they have already made, and many have been waiting for a cloud that is better than “good enough.”   As a result, although cloud is growing quickly, it’s still only a small part of the total IT spend.  There’s a lot of opportunity for IBM to capitalize on.

SoftLayer has a breakthrough capability that provides an easy “on ramp” especially for the Fortune 500 to adopt cloud. And for the SoftLayer born-on-the-cloud customers, IBM opens a new market into the enterprise.   Specifically, SoftLayer allows cloud services to be created very quickly on dedicated servers — rather than a virtual ones, which is the norm in the public cloud.

By building out a cloud on a dedicated server , a client no longer has to worry about sharing computing resources with other companies — thereby improving privacy, security and overall computing performance.  By using dedicated servers, software that was built for on-premise use can be more easily ported to the cloud.  It doesn’t have to go though as much heavy configuration as it does with a virtual server, which it was not developed to work with.

This capability will be added to IBM’s SmartCloud portfolio. IBM SmartCloud offers 100 cloud-based solutions for line-of-business execs including Watson Engagement Advisor; hybrid solutions such as IBM PureSystems, mission-critical cloud services for SAP on our SmartCloud Enterprise+ and the best private cloud solutions in the market.

Headquartered in Dallas, SoftLayer serves 21,000 customers with a global cloud infrastructure platform spanning 13 data centers in the U.S., Asia and Europe. SoftLayer excels at running cloud-centric, performance-intensive applications in mobile, social, gaming and analytics.

IBM is also announcing today the formation of a new Cloud Services division that combines SoftLayer with IBM SmartCloud into a global platform, reporting to SVP Erich Clementi, IBM Global Technology Services.

Financial terms of the deal have not been disclosed and the acquisition is expected to close later in 2013 following standard regulatory review.

Business Processes, Cloud & IT Management, COBOL, IBM, Mainframe computer

BluePhoenix Moves Mainframe COBOL, Batch Processing to the Cloud

BluePhoenix has released their Cloud Transaction Engine and Batch In The Cloud Service. The Cloud Transaction Engine (CTE) is a module of the company’s soon-to-be-released ATLAS Platform.    CTE is a proprietary codebase that enables mainframe processes to be run from off- mainframe infrastructure. BluePhoenix’s Batch In The Cloud service is the first formal offering leveraging CTE capabilities.

“Batch In The Cloud uses off-mainframe, cloud-based processing power to reduce mainframe MIPS and total cost of ownership,” explains Rick Oppedisano, BluePhoenix’s Vice President of Marketing. “The huge array of virtual machines in the cloud brings greater performance and scalability than the mainframe. Jobs can be processed quicker at a lower cost. It’s a great way for customers to save money immediately and explore options for an eventual mainframe transition.”

The Batch In The Cloud service is supported on private or public clouds, including Microsoft’s Azure and Amazon’s EC2. This service is designed to enable COBOL, CA GEN and Natural/ADABAS mainframe environments.

“In a typical scenario, workloads continue to grow while the mainframe’s processing power and batch window stays the same,” says BluePhoenix’s VP of Engineering, Florin Sunel. “Our technology acts as a bridge between the mainframe and cloud. With Batch In The Cloud, all business logic is preserved. Customers can reduce usage cost by running jobs like reporting from the cloud platform rather than the mainframe. In that scenario, they can also add business value by using modern business intelligence tools that aren’t compatible with the mainframe to gain insight from their data.”
Adds Oppedisano, “Beyond the immediate cost savings, this technology creates a competitive advantage. Exposing data in an off-mainframe location empowers the customer to become more agile. Not only can they process reports faster, but they can slice and dice their data to get a broader perspective than competitors who keep data on the mainframe.”

“By moving batch workloads to Windows Azure or a Microsoft Private Cloud, companies are able to take advantage of cloud economics,” said Bob Ellsworth, Microsoft Worldwide Director of Platform Modernization. “Combined with the advanced analytics included in SQL Server, the customer not only realizes great savings, scale and flexibility but increased business value through self-service BI.”

BluePhoenix is offering a free Proof of Concept for the Batch In The Cloud service. “To manage the scale and demand, we’re going to start with a complimentary assessment of the customer environment to identify the most appropriate applications for this service,” says Oppedisano. “Once those applications are identified, we will build the roadmap and execute the Proof of Concept on the cloud platform of the customer’s choice.”

Additional details on the Batch In The Cloud service and Proof of Concept can be found here.

Big Data, BigData, Business Intelligence, Endeca Technologies, IBM, Internet of Things, M&A Activity, Pivotal Labs

Big Data Future Spurs Acquisitions

In October 2011, Oracle announced its acquisition of Endeca Technologies, an enterprise search and data management company providing enterprises with non-structured data management, e-commerce and business intelligence technology.

In November 2011, IBM announced its acquisition of Platform Computing, an HPC software company with excellent performance in cloud computing and big data.

In February 2012, Groupon acquired Adku, a startup that uses big data to personalize online shopping experience for people visiting e-commerce sites like eBay and Amazon.

In March 2012, EMC announced its acquisition of Pivotal Labs, a private agile software developer and tool provider headquartered in San Francisco.

In the past two years, international IT giants, including IBM, Oracle, EMC and SAP, have been engaged in an upsurge of acquisition in the big data market, spending more than $1.5 billion in acquiring related data management and analysis companies. Big data becomes a new hot term after “cloud computing” in the IT and financial sectors.

The upsurge of big data results from the integrated development of the new-generation information technology, and the processing and analysis of big data in turn becomes a key support for the said integrated development.

The Internet of Things (IoT), mobile Internet, digital home and social network services are the applications of the new-generation information technology. Big data is continuously increasing together with these applications, whereas cloud computing provides the storage and computing platform for massive and diversified big data. It is estimated that the global data storage volume was 1.8ZB in 2011, and it will hit 2.7ZB in 2012 and exceed 8ZB in 2015. The growth rate of structured data is around 32%, and that of non-structured data 63%.

In the retail sector, analysis on big data enables retailers to master the real-time market trends and promptly take corresponding measures. Walmart has started analyzing the massive sales data of all its chain stores in combination with weather data, economics and demography, so as to select proper products for each chain store and determine the timing of discounts.

In the Internet sector, analysis on big data helps manufacturers develop more precise and effective marketing strategies. Facebook and eBay are analyzing and exploring massive data from social networks and online transaction data, with an aim of providing personalized advertising services.

In the utility sector, big data have begun to play a significant role. Many European cities guide drivers to select the best routes by analyzing real-time traffic flow data, thereby improving traffic conditions. The United Nations also launched “Global Pulse”, a program aiming to accelerate global economic development with big data.

The enormous commercial value of and market demand for big data are driving transformation of the information industry. New big data-oriented products, technologies, services and models are constantly emerging.

On one hand, the challenges such as effective storage, fast read-write and real-time analysis will have significant impacts on the chip and storage industry as well as incubate the integrated data storage & processing server and memory computing markets.

On the other hand, the enormous value of big data will lead to urgent needs for fast data processing and analysis as well as give rise to the unprecedented prosperity of data exploration and business intelligence markets.