Adobe adds data-science muscle to its cloud services

Adobe adds data-science muscle to its cloud services

Finding insights in an ocean of data has become one of today’s most pressing business challenges, and software vendors are rushing to help. The latest is Adobe, which has added a host of algorithms in its cloud services to help brands uncover patterns and put them to work.

Adobe’s Creative, Document and Marketing Cloud services already use data science to help brands hone their message to customers, and the algorithms announced Wednesday add more capabilities.

In the Marketing Cloud, for instance, a new auto-allocate capability billed as a “content traffic cop” helps marketers identify the best offers, messaging and creative materials for engaging with customers. An online retailer could use it to determine that a particular promotional video is driving the most purchases, and automatically push that video to more online visitors even as it tests other content.

Users of Adobe’s Campaign tool, meanwhile, can now test predictive subject lines through a new beta program. The technology suggests which email subject line will yield the best results from a marketing campaign.

Huawei Prepares for Robot Overlords and Communication with the Dead

Huawei Prepares for Robot Overlords and Communication with the Dead

(Bloomberg) — Chinese technology giant Huawei is preparing for a world where people live forever, dead relatives linger on in computers and robots try to kill humans.

Huawei is best known as one of the world’s largest producers of broadband network equipment and smartphones. But Kevin Ho, president of its handset product line, told the CES Asia conference in Shanghai on Wednesday the company used science fiction movies like “The Matrix” to envision future trends and new business ideas.

“Hunger, poverty, disease or even death may not be a problem by 2035, or 25 years from now,” he said. “In the future you may be able to purchase computing capacity to serve as a surrogate, to pass the baton from the physical world to the digital world.”

He described a future where children could use apps like WeChat to interact with dead grandparents, thanks to the ability to download human consciousness into computers. All of these technologies would require huge amounts of data storage, which in turn could generate business for Huawei, he added.

Read more: When Users Die, Yahoo Japan Deletes their Account and Offers Funeral Arrangements

Ho also referred to a scene in “The Matrix” where a character downloads the ability to fly a helicopter.

“That kind of data download volume exceeds current levels,” he said. “In the future storage will need to exceed 15,000 Zettabytes so this is a huge increase.”

Post-Human Society

In Silicon Valley, high-tech companies like Google have discussed long-term planning for a post-human society, while Calico and venture capitalist Peter Thiel have both raised the prospect of immortality. SpaceX founder Elon Musk has long held the goal of transporting humanity to colonies on other planets.

But it is rare for established Chinese technology firms like Huawei to make business preparations based on the intangible possibilities facing the species. Ho said science fiction films helped spur his team to consider new product lines.

“A lot of science fiction has prompted me to have this type of thinking – in science fiction we’ve seen some terrible worlds where technology destroys human society,” he said. Ho described a film in which a character — apparently an AI persona — absorbs ideas from books then launches an attack on humanity. “There’s a very interesting film where Mr Wong has a task of downloading books, he also has a task of printing books and later he kills human beings. Therefore we need better safety technology.

“We need authentication, better tech protection and remote defense – we are developing all of these now.”

Source: TheWHIR

Salesforce IoT Cloud Uses AWS to Support its "Uncontrolled Exponential Growth"

Salesforce IoT Cloud Uses AWS to Support its "Uncontrolled Exponential Growth"

Amazon Web Services (AWS) has added a potentially huge infrastructure client in Salesforce’s Internet of Things (IoT) Cloud, The Wall Street Journal reported on Tuesday. Salesforce’s IoT Cloud, which was announced in September, utilizes the Salesforce Thunder processing engine, and partnerships with ARM, Etherios, Informatica, PTC ThingWorx, and Xively LogMeln.

Salesforce IoT Cloud executive vice president Adam Bosworth told the WSJ that his company chose to use AWS’ infrastructure because the “uncontrolled exponential growth” of the service meant it “had to have the safety valve of a public cloud or public clouds to do what we were doing.” He also said that the Salesforce IoT Cloud is designed to run on any public cloud, and on its own servers, and he anticipates a mix to satisfy customers who want to keep data in Salesforce’s own data centers.

Read more: Salesforce: Most Successful Marketers Plan to Increase Technology Spend Over Next Two Years

The decision to use public cloud along with its own data centers represents something of a departure for Salesforce. The cloud PaaS of Salesforce’s subsidiary Heroku is based on AWS, but most Salesforce core services are run out of the company’s data centers.

The Salesforce IoT Cloud has been in beta testing for select customers since it was announced, and Bosworth told the WSJ that it will launch in the second half of 2016.

Read more: Former EU Digital Agenda Commissioner Neelie Kroes Joins Salesforce Board

At the time of the announcement, Salesforce chairman and CEO Mark Benioff said: “Salesforce is turning the Internet of Things into the Internet of Customers. The IoT Cloud will allow businesses to create real-time 1:1, proactive actions for sales, service, marketing or any other business process, delivering a new kind of customer success.”

As the largest public cloud vendor, AWS offers a managed IoT cloud platform supported by tools like the recently announced Bsquare IoT developer software stack.

Source: TheWHIR

Rackspace CEO: Q1 2016 Growth Driven by Managed Cloud Services Demand

Rackspace CEO: Q1 2016 Growth Driven by Managed Cloud Services Demand

Rackspace is the latest hosting company to post quarterly earnings, reporting adjusted earnings of 34 cents per share on Monday, far above the 22 cents predicted by Wall Street analysts. For the first quarter of 2016 Rackspace posted a net income of $49 million, up 77.5 percent from Q1 2015.

Net revenue was up 7.9 percent from a year ago to $518 million, roughly meeting analysts expectations, but adjusted for currency factors and the sale of cloud storage provider Jungle Disk, it grew by 9.9 percent, driving GAAP EPS of 37 cents. The company’s adjusted EBITDA grew 11.7 percent over Q1 2015 to $179 million, and its adjusted free cash flow and return on capital were up from a year ago.

“We’ve continued to build market power behind our managed cloud strategy,” said Taylor Rhodes, president and CEO of Rackspace. “Demand for Rackspace’s managed services for AWS, the Microsoft cloud, and our OpenStack private cloud is scaling rapidly. Collectively, we now deliver expertise and support for more than 400 customers on these cloud platforms, including some of the world’s largest companies and leading brands such as Digitas. While we are experiencing hyper-growth in these new offers, we also continued to reduce our capital intensity and boost our free cash flow.”

Read more: Rackspace Brings Signature Fanatical Support to AWS

The OpenStack growth is hardly surprising, given the emphasis Rackspace has placed on it over the past several years, even prior to announcing its expanded partnership with Red Hat in February. Rackspace continues to develop its OpenStack cloud, most recently through a partnership with cloud optimization startup AppFormix.

Rackspace bought back $68 million in shares in the quarter. Its stock was up roughly $0.80 or 3.5 percent to 23.35 on the New York Stock Exchange mid-afternoon following the report.

Analysts confidence in predicting Rackspace should be tempered by the company’s somewhat unexpected twists and turns over the past few years. Morgan Stanley analysts set a share price range of $40 to $12, with a base of $26 for the company following the report.

Rackspace also recently decided to re-assign 90 employees from its public cloud department, and also updated its OnMetal Cloud Server line.

Source: TheWHIR

RightScale Cuts Own Cloud Costs by Switching to Docker

RightScale Cuts Own Cloud Costs by Switching to Docker

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Less than two months ago, the engineering team behind the cloud management platform RightScale kicked off a project to rethink the entire infrastructure its services run on. They decided to package as much of its backend as possible in Docker containers, the method of deploying software whose popularity spiked over the last couple of years, becoming one of the most talked about technology shifts in IT.

It took the team seven weeks to complete most of the project, and Tim Miller, RightScale’s VP of engineering, declared the project a success in a blog post Tuesday, saying they achieved both goals they had set out to achieve: reduced cost and accelerated development.

There are two Dockers. There is the Docker container, which is a standard, open source way to package a piece of software in a filesystem with everything that piece of software needs to run: code, runtime, system tools, system libraries, etc. There is also Docker Inc., the company that created the open source technology and that has built a substantial set of tools for developers and IT teams to build, test, and deploy applications using Docker containers.

In the sense that a container can contain an application that can be moved from one host to another, Docker containers are similar to VMs. Docker argues that they are a more efficient, lighter-weight way to package software than VMs, since each VM has its own OS instance, while Docker runs on top of a single OS, and countless individual containers can be spun up in that single environment.

Another big advantage of containers is portability. Because containers are standardized and contain everything the application needs to run, they can reportedly be easily moved from server to server, VM to VM (they can and do run in VMs), cloud to cloud, server to laptop, etc.

Google uses a technology similar to Docker containers to power its services, and many of the world’s largest enterprises have been evaluating and adopting containers since Docker came on the scene about two years ago.

Read more: Docker CEO: Docker’s Impact on Data Center Industry Will Be Huge

RightScale offers a Software-as-a-Service application that helps users manage their cloud resources. It supports all major cloud providers, including Amazon, Microsoft, Google, Rackspace, and IBM SoftLayer, and key private cloud platforms, such as VMware vSphere, OpenStack, and Apache CloudStack.

Its entire platform consists of 52 services that used to run on 1,028 cloud instances. Over the past seven weeks, the engineering team containerized 48 of those services in an initiative they dubbed “Project Sherpa.”

They only migrated 670 cloud instances to Docker containers. That’s how many instances ran dynamic apps. Static apps – things like SQL databases, Cassandra rings, MogoDB clusters Redis, Memcached, etc. – wouldn’t benefit much from switching to containers, Miller wrote.

The instances running static apps now support containers running dynamic apps in a hybrid environment. “We believe that this will be a common model for many companies that are using Docker because some components (such as storage systems) may not always benefit from containerization and may even incur a performance or maintenance penalty​ if containerized,” he wrote.

As a result the number of cloud instances running dynamic apps was reduced by 55 percent and the cloud infrastructure costs of running those apps came down by 53 percent on average.

RightScale has also already noticed an improvement in development speed. Standardization and portability containers offer help developers with debugging, working on applications they have no experience with, and flexibility in accessing integration systems. Product managers can check out features that are being developed without getting developers involved.

“There are certainly more improvements that we will make in our use of Docker, but we would definitely consider Project Sherpa a success based on the early results, Miller wrote.

Original article appeared here: RightScale Cuts Own Cloud Costs by Switching to Docker

Source: TheWHIR

Is your data safe when it's at rest? MarkLogic 9 aims to make sure it is

Is your data safe when it's at rest? MarkLogic 9 aims to make sure it is

The database landscape is much more diverse than it once was, thanks in large part to big data, and on Tuesday, one of today’s newer contenders unveiled an upcoming release featuring a major boost in security.

Version 9 of MarkLogic’s namesake NoSQL database will be available at the end of this year, and one of its key new features is the inclusion of Cryptsoft’s KMIP (Key Management Interoperability Protocol) technology.

MarkLogic has placed its bets on companies’ need to integrate data from dispersed enterprise silos — a task that has often required the use of so-called ETL tools to extract, transform and load data into a traditional relational database. Aiming to offer an alternative approach, MarkLogic’s technology combines the flexibility, scalability, and agility of NoSQL with enterprise-hardened features like government-grade security and high availability, it says.

Now coming up in the next generation of the software will be a variety of improvements in data integration, manageability and security, the company says, but certainly most notable among them is the addition of Cryptsoft’s KMIP.

Review: 6 machine learning clouds

Review: 6 machine learning clouds

What we call machine learning can take many forms. The purest form offers the analyst a set of data exploration tools, a choice of ML models, robust solution algorithms, and a way to use the solutions for predictions. The Amazon, Microsoft, Databricks, Google, and IBM clouds all offer prediction APIs that give the analyst various amounts of control. HPE Haven OnDemand offers a limited prediction API for binary classification problems.

Not every machine learning problem has to be solved from scratch, however. Some problems can be trained on a sufficiently large sample to be more widely applicable. For example, speech-to-text, text-to-speech, text analytics, and face recognition are problems for which “canned” solutions often work. Not surprising, a number of machine learning cloud providers offer these capabilities through an API, allowing developers to incorporate them in their applications.

Source: InfoWorld Big Data

Microsoft to Launch Cloud Data Centers in Korea

Microsoft to Launch Cloud Data Centers in Korea

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Brought to you by Data Center Knowledge

Microsoft announced plans to build cloud data centers in South Korea as the race to expand global reach of their cloud infrastructure among the largest public cloud providers, including Amazon and Google, continues.

Microsoft Azure continues to lead in terms of the number of physical locations its customers can choose to host their virtual infrastructure in. Twenty-four Azure regions are available today, and, including the upcoming Korea regions, the company has announced eight more that are underway.

While ahead of the competition in global reach, in Korea Microsoft is catching up to Amazon, whichlaunched a Seoul cloud region in January. Today, there are nine Azure regions in Asia, including China, Hong Kong, Singapore, India, and Japan, and two in Australia.

Google, which has fewer dedicated cloud data center locations than both of its largest competitors in the space, has only one in Asia, a three-zone region in Taiwan.

After a brief slowdown in data center spending in 2015, the big three cloud providers have ramped up cloud data center construction this year.

Microsoft reported a 65-percent increase in data center spend year over year in the first quarter. Google said in March it would add 12 new data center locations to expand its cloud infrastructure. Amazon increased capital spending by 35 percent in the first quarter and attributed a big portion of the increase to investment in AWS.

The new Azure data center region will be located in Seoul, Takeshi Numoto, Microsoft’s corporate vice president for cloud and enterprise, wrote in a blog post announcing the plans.

He also announced that new data centers hosting Azure and 365 have come online in Toronto and Quebec City,Microsoft’s first cloud data centers in Canada.

Original article appeared here: Microsoft to Launch Cloud Data Centers in Korea

Source: TheWHIR

Ecommerce Software Platform BigCommerce Raises $30 Million

Ecommerce Software Platform BigCommerce Raises Million

BigCommerce announced on Tuesday that it has received $30 million in a Series E funding round led by GGV Capital. All of BigCommerce’s existing investors participated in the round, including General Catalyst, Revolution Growth, SoftBank Capital, Tenaya, Split Rock, Telstra Ventures, and American Express Ventures.

According to research by Morgan Stanley, the addressable market for ecommerce software platforms is now over $10 billion annually, with 46 million merchants globally and 10 million in Western markets. Gartner counts the cloud ecommerce enablement software and services market at $7.7 billion in 2015, and expects it to hit $10 billion in 2018, BigCommerce said.

“BigCommerce is benefitting from the retail industry shifting online, with every small, mid-sized and large merchant in the world seeking to gain a piece of the $1 trillion ecommerce market,” said Brent Bellm, CEO of BigCommerce. “This new financing follows on the successful launch of several new products, our partnerships with major players in ecommerce like eBay and Square, and our successful expansion into the midmarket.”

Read more: Bigcommerce Ecommerce Platform Raises $50 Million to Expand Reach

The company says it has processed over $9 billion in sales through its platform. This includes sales by thousands of mid-market brands using BigCommerce Enterprise, as well as relative household names Camelbak and Toyota, all of which joined the company in the past year.

GGV Capital is based in both Silicon Valley and China, and it has an extensive history with software and ecommerce companies, including Alibaba and Square. Managing partner Jeff Richards will join the BigCommerce board of directors, where he will join CEO Brent Bellm, who joined the company in June. The company also formed a partnership with 2Checkout in July to enable transactions between international currencies.

“We believe we are still in the early innings of a massive global shift from offline to online retail, with mobile and younger demographics driving the trend,” said Jeff Richards. “BigCommerce and its competitors have brought hundreds of thousands of merchants online in the past few years, but there are millions left to come online – and today’s shopper shops online first.”

BigCommerce has raised $155 million to date. A recent report by aheadWorks put BigCommerce at 0.5 percent of the Alexa top 1 million websites.

Source: TheWHIR

IBM's Watson Goes to Cybersecurity School

IBM's Watson Goes to Cybersecurity School

IBM will address the cybersecurity skills gap by sending Watson to school, the company announced Tuesday. Watson for Cyber Security is part of a year-long research project in collaboration with 8 universities in the US and Canada.

The cloud-based cognitive system has been “trained” in the language of security, and beginning this fall Watson will be scaled to receive training from the California State Polytechnic University, Ponoma; Pennsylvania State University; the Massachusetts Institute of Technology; New York University; the University of Maryland, Baltimore County (UMBC); the University of New Brunswick; the University of Ottawa, and the University of Waterloo. IBM’s X-Force research library will also be used as training material for Watson.

IBM hopes Watson will discover patterns and evidence of otherwise-hidden cyber attacks, allowing IBM to improve security analysts’ capabilities. Cognitive systems could automate the connections between data, emerging threats, and remediation strategies, the company said. It plans to use Watson for Cyber Security for deployments beginning in beta production this year.

Read more: Obama Names 12 Members to New Commission on Enhancing National Cybersecurity

Security analysts may need help, given the explosion in data available. IBM says the average organization sees over 200,000 pieces of security event data each day, and enterprises spend $1.3 million and nearly 21,000 hours just on false positives. The company also notes that the 75,000 items in the National Vulnerability Database, the 10,000 security research papers a year, and 60,000 security blogs published each month challenge analysts to move at the speed of information.

The looming problem is that they may not have an easy time hiring help, as studies have indicated that cybersecurity skills are in short supply.

“Even if the industry was able to fill the estimated 1.5 million open cyber security jobs by 2020, we’d still have a skills crisis in security,” said Marc van Zadelhoff, General Manager, IBM Security. “The volume and velocity of data in security is one of our greatest challenges in dealing with cybercrime. By leveraging Watson’s ability to bring context to staggering amounts of unstructured data, impossible for people alone to process, we will bring new insights, recommendations, and knowledge to security professionals, bringing greater speed and precision to the most advanced cybersecurity analysts, and providing novice analysts with on-the-job training.”

Read more: IBM Cloud Unit CTO Retires, Watson Fails to Impress at CES

In addition to Watson’s training, UMBC announced it will create an Accelerated Cognitive Cybersecurity Laboratory in collaboration with IBM Research.

Cybersecurity may be the niche Watson needs to get out there and get a job in the real world, after failing to impress at this year’s Consumer Electronics Show.

Source: TheWHIR