Google Analytics just got a new AI tool to help find insights faster

Google Analytics just got a new AI tool to help find insights faster

Services like Google Analytics are great for amassing key data to help you make the most of your web efforts, but zeroing in on the parts that matter most can be a time-consuming challenge. On Friday, Google added a new feature to its analytics service that taps AI to surface insights automatically.

Now available in the Assistant screen in the Google Analytics mobile app, the new automated insights feature “lets you see in 5 minutes what might have taken hours to discover previously,” wrote Ajay Nainani, product manager for Google Analytics, in a blog post.

The tool taps Google machine intelligence to find key insights from among the thousands of metric and dimension combinations that can be reported in Google Analytics. More specifically, it combs through data and offers relevant insights and recommendations.

If you’re a retailer trying to get ready for the holiday season, for instance, the tool can instantaneously surface opportunities and anomalies hiding in your data, such as which products are experiencing higher-than-normal sales growth, which advertising channels are driving the most conversions and the best returns, and what devices customers are using to engage with your brand.

The tool also offers quick tips on how to improve your Google Analytics data. And because it’s based on artificial intelligence, it gets smarter over time as it learns more about your business and how you use the software, Google says.

The new automated insights feature is now available with the official Google Analytics mobile app on Android and iOS for English-speaking users. Google’s now working on bringing it to the web version of the software and to other languages as well, Nainani said. Meanwhile, Google invites users to suggest insights they’d like to see automated and is collecting those ideas through an online form.

Source: InfoWorld Big Data

SaaS Growth Driven By ERP & Collaboration

SaaS Growth Driven By ERP & Collaboration

New Q2 data from Synergy Research Group shows that the worldwide enterprise SaaS market grew 33% year on year to reach well over $11 billion in quarterly revenues. While not the largest segment, ERP grew the most rapidly achieving 49% growth, while the largest segment, collaboration, grew by 37%. Microsoft has now overtaken Salesforce to become the overall enterprise SaaS market leader, though the market remains somewhat fragmented with each major segment featuring a different leader. Microsoft is dominant in collaboration while Salesforce dominates the CRM segment. Other leading SaaS providers include SAP, Oracle, Adobe, ADP, IBM, Workday, Intuit and Cisco. Among the top ten companies Oracle achieved the highest growth rate followed by Microsoft.

The enterprise SaaS market is somewhat mature compared to other cloud markets like IaaS and PaaS. Nonetheless, Synergy forecasts that it will more than triple in size over the next five years, with strong growth across all segments and all geographic regions. Meanwhile the consumer SaaS market is much smaller than the enterprise market and is not growing as strongly.  However, in this segment there is huge growth for Microsoft, which has more than doubled its revenues on a rolling annualized basis.

“In SaaS a big battle is playing out between the traditional broad-based software vendors and companies that are focused on a specific application area or industry sector, many of which are entirely cloud based,” said John Dinsdale, a chief analyst and research director at Synergy Research Group. “It might be tempting to assume that the latter camp are leading the charge, but in fact the traditional software vendors are growing their SaaS revenues more rapidly, helped by their huge base of on-premise software customers that can be aggressively targeted for conversion to a SaaS consumption model.”

Source: CloudStrategyMag

Red Hat Releases OpenStack Platform 9

Red Hat Releases OpenStack Platform 9

Red Hat, Inc. has announced the general availability of Red Hat OpenStack Platform 9, its highly scalable, open Infrastructure-as-a-Service (IaaS) platform designed to deploy, scale and manage private cloud, public cloud, and Network Functions Virtualization (NFV) environments. Based on the OpenStack community “Mitaka” release, Red Hat OpenStack Platform 9 offers customers a more secure, production-ready automated cloud platform integrated with Red Hat Enterprise Linux 7.2, Red Hat Ceph Storage 2, and Red Hat CloudForms for a hybrid cloud management and monitoring.

“As customers continue to require more advanced workloads capabilities on top of their OpenStack deployments, we have updated Red Hat OpenStack Platform to go beyond just providing a secure, flexible base to build a private cloud. With this release of Red Hat OpenStack Platform 9, we continue to add capabilities to meet the production requirements of enterprises rolling our private clouds and service providers deploying NFV,” said Radhesh Balakrishnan, general manager, OpenStack, Red Hat.

Red Hat OpenStack Platform has emerged as a proven solution to power private clouds across hundreds of customers worldwide, such as BBVA; Cambridge University; FICO; NASA’s Jet Propulsion Laboratory; Paddy Power Betfair; Santander Bank; and Verizon. It is backed by a robust ecosystem of partners, including Cisco, Dell, Intel, Lenovo, Rackspace and more. Red Hat co-engineers and integrates its OpenStack platform with Red Hat Enterprise Linux, and the KVM (Kernel-based Virtual Machine) virtualization layer from the recently updated Red Hat Virtualization. Earlier this month, Red Hat was named a “Visionary” in the 2016 Gartner Magic Quadrant for x86 Server Virtualization.

Red Hat OpenStack Platform 9 builds on the proven, trusted foundation of Red Hat Enterprise Linux to provide critical dependencies needed in production OpenStack environments centered around service functionality, third-party drivers, and system performance and security. It is among the only production-ready OpenStack distributions that offers automated upgrade and update paths for mission-critical operations. Red Hat OpenStack Platform 9 brings significant updates from the upstream Mitaka version to nearly every OpenStack service:

  • Automated updates and upgrades with Red Hat OpenStack Platform Director: Red Hat to enables users to upgrade their OpenStack deployments through the automation and validation mechanisms of the Red Hat OpenStack Platform Director, based on the upstream community project TripleO (OpenStack on OpenStack). This in-place upgrade tool offers a simplified means to take advantage of the latest OpenStack advancements, while preventing downtime for production environments.
  • Live migration improvements and selectable CPU pinning from OpenStack Compute (Nova): The Compute component now offers a faster and enhanced instance of the live migration process, helping system administrators to observe its progress and even pause and resume the migration task. A new CPU pinning feature can dynamically change the hypervisor behavior with latency-sensitive workloads such as NFV, enabling more fine-grained performance control.
  • Tech Preview of Google Cloud Storage backup driver in OpenStack Block Storage (Cinder): As part of Red Hat’s continued collaboration with Google, new disaster recovery policies in Red Hat OpenStack Platform 9 now extend to the public cloud using integrated drivers created for Google Cloud Storage. This new feature enables more secure backups of critical data across the hybrid cloud.

Management for OpenStack

To help accelerate service delivery and enable self-service for system administrators building OpenStack private clouds, Red Hat OpenStack Platform 9 connects with Red Hat CloudForms to provide a consistent, automated cloud deployment environment. Included with a Red Hat OpenStack Platform subscription, Red Hat CloudForms provides inherent discovery, monitoring, and deep inspection of OpenStack resources, enabling policy-based operational and lifecycle management over all OpenStack infrastructure components, as well as virtualized workloads running on OpenStack.

Additionally, the updated Red Hat OpenStack Platform Director can also deploy Red Hat Ceph Storage, the industry-leading, integrated software-defined storage solution for Red Hat OpenStack Platform private clouds. Red Hat OpenStack Platform 9 includes 64TB of free object and block storage for customers evaluating a robust, scale-out cloud storage solution.

Source: CloudStrategyMag

Facebook taps deep learning for customized feeds

Facebook taps deep learning for customized feeds

Serving more than a billion people a day, Facebook has its work cut out for it when providing customized news feeds. That is where the social network giant takes advantage of deep learning to serve up the most relevant news to its vast user base.

Facebook is challenged with finding the best personalized content, Andrew Tulloch, Facebook software engineer, said at the company’s recent @scale conference in Silicon Valley. “Over the past year, more and more, we’ve been applying deep learning techniques to a bunch of these underlying machine learning models that power what stories you see.”

Applying such concepts as neural networks, deep learning is used in production in event prediction, machine translation models, natural language understanding, and computer vision services. Event prediction, in particular, is one of the largest machine learning problems at Facebook, which must serve the top couple of stories out of thousands of possibilities for users, all in a few hundred milliseconds. “Predicting relevance in and of itself is a very challenging problem in general and relies on understanding multiple content modalities like text, pixels from images and video, and the social context,” Tulloch said.

The company must also deal with content posted in more than 100 languages daily, thus complicating classic machine learning, Tulloch said. Text must be understood at a deep level for proper ranking and display. In its deep learning efforts, Facebook has gone with its DeepText text understanding engine, which reads and understands users’ posts and has been open-sourced in part.

Big data salaries set to rise in 2017

Big data salaries set to rise in 2017

Starting salaries for big data pros will continue to rise in 2017 as companies jockey to hire skilled data professionals.

Recruiting and staffing specialist Robert Half Technology studied more than 75 tech positions for its annual guide to U.S. tech salaries, including 13 jobs in the data/data administration field.

In the big picture, starting salaries for newly hired IT workers are forecast to climb 3.8 percent next year. (See also: 14 hot network jobs/skills for 2017)

In the data world, the highest paying title is big data engineer; these specialists can expect starting salaries ranging from $135,000 to $196,000. The biggest raise is projected for data scientists, who can expect a 6.4 percent boost in 2017. 

Equinix Invests $42M In London Data Center Expansion

Equinix Invests M In London Data Center Expansion

Equinix, Inc. has announced that it has completed the second phase expansion of its LD6 International Business Exchange™ (IBX®) data center in Slough, London. This new phase further supports businesses expanding in the UK, providing customers with the critical IT infrastructure required to gain competitive advantage.

With $42M of capital investment, the second phase of LD6 will add 1,385 cabinets, bringing the total operational capacity of the data center to 2,770 cabinets. This expansion is also an indicator of Equinix’s continued commitment to the UK, where demand for data centers and colocation services in the cloud, enterprise, and financial services sectors continue to grow.

“Platform Equinix has been a cornerstone for the Beeks Financial Cloud — enabling the speed, resilience and reduced latency our customers have come to expect. Our presence in the Equinix’s London data centers provides connectivity to all the major networks and cloud service providers, as well as financial services companies. This level of interconnection is what helps a business like Beeks to thrive. It’s more than a data center platform — it’s a platform for innovation,” said Gordon McArthur, CEO, Beeks Financial Cloud.

With the fifth largest GDP by metropolitan area in the world, London is a key player in the global digital economy. Equinix’s LD6 campus is one of the fastest-growing in the UK and has been established as a hub for businesses to interconnect in a secure colocation environment.

With more than 90 network service providers and access to a range of transatlantic sub-sea cables, LD6 is one of the busiest network nodes in the UK, and offers latency in the region of 30 milliseconds to New York and 4 milliseconds to Frankfurt. This makes it an optimal high-performance hub for cloud and content service provision.

The facility also houses LINX, one of the world’s largest Internet Exchanges, and serves as a virtual financial center for more than 170 financial services companies. A quarter of European equities trades flow through Equinix data centers. 

Following this latest investment, Equinix’s LD6 London Slough campus will provide more than 408,000 sq ft (38,000 square meters) of net premium colocation space interconnected by more than 1,000 diverse dark fiber links, increasing scale and resilience. Additionally, with seven data center sites strategically located throughout London, Equinix provides businesses with increased options for business continuity and disaster recovery.

According to a recent report by Gartner entitled, Colocation-Based Interconnection Will Serve as the ‘Glue’ for Advanced Digital Business Applications, “Digital business is enabled and enhanced through high-speed, secure, low-latency communication among enterprise assets, cloud resources, and an ecosystem of service providers and peers. Architects and IT leaders must consider carrier-neutral data center interconnection as a digital business enabler.”

LD6 houses many customers benefiting from Platform Equinix™. Beeks Financial Cloud is a UK-based customer that leverages Platform Equinix across a number of markets, directly connecting to financial market participants, cloud services providers and networks. Originally deployed in LD4, Beeks has continued to expand to other Equinix sites across the globe as its business required more capacity and scale.

Another London customer is CFH Clearing. Part of the CFH Group, the STP trading venue provides sophisticated technology solutions for global clients including banks, brokers and professional traders. The company works with both Beeks and Equinix, relying on Equinix for maximum connectivity and low latency.

With 146 IBX data centers in 40 markets including seven data centers in London (LD1, LD3, LD4, LD5, LD6, LD8, and LD9), Equinix provides customers with even more ways to connect with other businesses across the globe.

Source: CloudStrategyMag

Meet the newest member of SAP's Hana family: a data warehouse

Meet the newest member of SAP's Hana family: a data warehouse

SAP has already placed big bets on Hana, and now it’s adding more with a new data warehouse tailored specifically for the in-memory computing platform.

Launched on Wednesday, SAP BW/4Hana promises to minimize data movement and duplication by enabling data to be analyzed wherever it resides, whether within or outside the enterprise. It can also integrate live streaming and time-series sensor data collected from internet of things (IoT) environments. 

Back in 2014, SAP added Hana support to its longstanding Business Warehouse data warehousing software, but BW/4Hana goes a big step further. Like S4/Hana, the enterprise suite SAP released last year, the new data warehouse is optimized for Hana, and will not run on any other platform.

“We believe we have to adhere to the principles of real-time, in-memory computing,” said Ken Tsai, a vice president and head of cloud platform and data management product marketing at SAP. “The classic way of building a data warehouse is no longer viable.”

Get started in data science: 5 steps you can take online for free

Get started in data science: 5 steps you can take online for free

Making a career change is never easy, but few things are more motivating than the prospect of a good salary and a dearth of competition. That’s a fair summary of the data science world today, as at least one well-publicized study has made clear, so why not investigate a little further?

There’s been a flurry of free resources popping up online to help those who are intrigued learn more. Here’s a small sampling for each step of the way.

1. Understand what it is

Microsoft’s website might not automatically spring to mind as a likely place to look, but sure enough, a few months ago the software giant published a really nice series of five short videos entitled “Data Science for Beginners.” Each video focuses on a specific aspect, such as “The 5 questions data science answers” and “Is your data ready for data science?”

2. Dig a little deeper

If you think you might be interested in a career in data science, you may want to start getting a feel for the lay of the land by tapping into some of the big blogs and community websites out there. The newly revamped OpenDataScience.com is one example; KDnuggets is another useful resource. A recent post on Data Science Central (another good site) lists key accounts to follow on Twitter. KDnuggets suggests some good e-books to read before plunging into a data science career.

IBM Named A Strong Performer In Global Public Cloud Platforms For Enterprise Developers

IBM Named A Strong Performer In Global Public Cloud Platforms For Enterprise Developers

IBM announced that Forrester Research named IBM a strong performer in its latest Wave™report1 evaluating global public cloud platforms for enterprise developers. Forrester analyzed and scored numerous public cloud platforms and identified IBM as a “strong performer” for combining its broad and deep portfolios of application and development services with solid infrastructure offerings. IBM also received the highest possible score in the private and hybrid cloud strategy criterion, and it secured the top ranking in the infrastructure services criterion.

The 34 evaluation criteria used in the report are designed to help application development and delivery (AD&D) professionals select the right public cloud platform partner for their needs. Cloud platforms were evaluated on current offerings, strategy, and market presence.

Forrester noted that IBM “takes an enterprise-first, hybrid approach to the cloud platform market,” and “clients with complex hybrid cloud requirements demanding a mix of on-premises and public cloud services should consider IBM Cloud.”

The report also named IBM’s strengths as “its platform configuration options, app migration services, cognitive analytics services, security and compliance certifications, complex networking support, growing partner roster and native DevOps tools.”

“IBM gives enterprises the fastest path to real business value in the cloud,” said Bill Karpovich, general manager, IBM Cloud Platform. “We believe being recognized as a strong performer in Forrester’s latest Wave report reinforces what we hear from our clients every day — that cloud is not ‘one size fits all.’ Enterprises require choice and expertise to evolve their diverse application portfolios, and IBM Cloud was designed to deliver on those core tenets.”

IBM’s status as a strong performer in global public cloud platforms for enterprise developers was based upon the evaluation of its IBM Cloud portfolio, specifically its Bluemix Cloud platform and IBM SoftLayer infrastructure as a service. Bluemix has grown to become one of the world’s largest open, public cloud deployments, with more than 150 APIs and services in 179 countries. IBM Cloud infrastructure is available from 47 data centers worldwide, providing clients diverse locations for data backup and recovery, data locality and the ability to securely analyze data across geographies. SoftLayer services include bare metal and virtual servers, storage, security services and networking.

IBM continues to see momentum in the number of enterprises turning to IBM Cloud for development and infrastructure needs. Just this month, Workday adopted IBM Cloud as the foundation for its development and testing environment for greater efficiency, flexibility, and global scale, and Vodafone India selected an IBM hybrid cloud platform to enable delivery of faster and more insightful data intelligence and support faster decision-making.

IBM Cloud delivers fast, easy and automated access to public, private and hybrid cloud services to help clients digitally transform. IBM Cloud is a growing collection of services including analytics, blockchain, Internet of Things, cognitive computing, mobile, networking, and storage. With nearly 50 global cloud data centers, IBM helps companies securely manage and gain insight into their data no matter where it resides.

1.      The Forrester Wave™: Global Public Cloud Platforms For Enterprise Developers, Q3 2016, Forrester Research, Inc., August 29, 2016.

Source: CloudStrategyMag

Rackspace Private Cloud To Support VMware SDDC Technologies

Rackspace Private Cloud To Support VMware SDDC Technologies

Rackspace® has announced that it will support VMware Software-Defined Data Center (SDDC) technologies including VMware NSX®, Virtual SAN™, and vRealize® Suite as a part of Rackspace Private Cloud powered by VMware. The offering, available in early access in October 2016, will accelerate enterprises’ journey from their data centers to the hybrid cloud by transitioning on-premises workloads into a Rackspace-hosted SDDC environment.

Rackspace Private Cloud powered by VMware helps enable enterprises to run, migrate, or extend their on-premises workloads into a dedicated single-tenant private cloud. With this new offering, Rackspace is extending support beyond VMware compute virtualization to include network virtualization, software-defined storage and cloud management platform support. This will give customers native access to VMware SDDC technologies with the enhanced security of a single-tenant private cloud, backed by Fanatical Support®.

“With more than a decade’s worth of VMware operational expertise gained from operating thousands of virtual machines and hypervisors on a global scale, Rackspace is well positioned to extend support capabilities to VMware SDDC technologies,” said Kaushik Balasubramanian, senior director of VMware Practice at Rackspace. “This is a logical step toward helping facilitate enterprise adoption of the hybrid cloud model, while accelerating businesses’ journey toward the software-defined model of infrastructure. This also furthers our company mission to provide the best expertise and support for the world’s leading clouds.”

Rackspace support for VMware SDDC technologies allows customers to offload daily management while gaining the following benefits:

  • Consistent Tooling and Code: Customers can migrate or extend to the VMware cloud without retooling environments or refactoring code by leveraging the same VMware technology that enterprises run in their data centers through Rackspace Private Cloud powered by VMware.
  • On-Demand Access and Automation with Control: Customers receive self service access to VMware virtualization infrastructure, applications and custom services in the cloud. Enterprise central IT can further enable the DevOps model by automating the rapid delivery of resources internally, while maintaining control through policy-based governance and resource quotas, service levels, and security and compliance standards.
  • Leverage Existing VMware Investments: Customers maintain value of existing investments made in training, VMware technology and familiar tools by accelerating adoption of software-defined infrastructure.
  • Managed by Rackspace, Powered by VMware: Customers have access to 24x7x365 Fanatical Support more than 100 VMware Certified Professionals (VCPs) to help migrate, architect, secure and operate VMware clouds. Rackspace was named Service Provider Partner of the Year in the 2015 Americas VMware Partner Innovation Awards for achievements in the partner ecosystem.

“VMware software-defined data center technologies aim to meet enterprise demand for a solution that will ease adoption and automation of the cloud,” said Geoff Waters, vice president, Global Service Providers at VMware. “We are excited to strengthen our alignment with Rackspace, a strategic vCloud Air Network partner, as the company extends its Fanatical Support to the SDDC stack to help bring this technology to more enterprises across the globe. We look forward to our continued collaboration.”

According to Gartner, “For data center and infrastructure software providers, investing in the development of appropriate and disruptive SDDC technologies is essential. Customers and prospects are looking for benefits such as improved agility and reduced capital expenditure (CAPEX), which SDDC technologies can deliver. SDDC also includes features and capabilities such as abstraction, instrumentation and policy management, which should be programmable, automated and orchestrated. The combination of these capabilities fosters innovations that optimize infrastructure and application use of underlying infrastructure.”1

1. Gartner, SDx: Build and Market Software-Defined Data Center Offerings Primer for 2016, Fabrizio Biscotti, Roger W. Cox, Michael Warrilow, Joe Skorupa, Naresh Singh, 28 January 2016

Source: CloudStrategyMag