Archivo de la categoría: Analytics

Amazon enhances AWS with new analytics tools

AWSOn the eve of its AWS re:Invent 2015 event internet giant Amazon is positioning itself for a run at the business intelligence market.

Already announced is the Amazon Elasticsearch Service, is a managed service designed to make it easier to deploy and operate Elasticsearch in the AWS cloud, on which more later.

In addition the WSJ is reporting the likely launch of a new analytics service, codenamed SpaceNeedle, which is set to augment AWS with business intelligence tools. The reported strategic aim of this new service is to both strengthen Amazon’s relationship with AWS customers and allow it to broaden its total available market.

Back to the Elasticsearch service, BCN spoke to Ian Massingham, UK Technical Evangelist at AWS, to find out what the thinking behind it is. “This service is intended for developers running applications that use Elasticsearch today, or developers that are considering incorporating Elasticsearch into future applications,” he said “Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.”

Apparently Wikipedia uses Elasticsearch to provide full-text search with highlighted search snippets, as well as search-as-you-type and did-you-mean suggestions, while The Guardian uses Elasticsearch to combine visitor logs with social network data to provide real-time feedback to its editors about the public’s response to new articles.

Expect more AWS news as the re:Invent event gets underway. Already Avere Systems has unveiled Avere CloudFusion, a file storage application for AWS, that aims to provides a cloud file system to leverage Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Block Store (EBS) with the cost efficiencies of Amazon Simple Storage Service (S3), all with the simplicity of network-attached storage.

Oracle launches Communications Analytics portfolio

OracleEnterprise software giant Oracle has unveiled a new product portfolio called Oracle Communications Analytics, a business intelligence suite aimed at communications providers.

The portfolio is a combination pre-existing products and four new ones: Oracle Communications Customer Experience Analytics, Oracle Communications Network Assurance Analytics, Oracle Communications Analytics Big Data Platform, and Oracle Communications Analytics Diameter Adapter.

The Customer Experience Analytics application is designed to offer customer care people a bunch of useful analytical information in one place. The Network Assurance Analytics app offers insights into Diameter network performance, while the Analytics Big Data Platform pretty much does what it says on the tin and the Big Data Adapters are tools designed to feed in that big data.

“CSPs have an advantage – they have a lot of data about how their network operates and the kinds of experiences that customers are having,” said Doug Suriano, GM of Oracle Communications. “But without the right big data and analytics tools, the data will remain unused and siloed in various systems. Our expanded Oracle Communications Analytics portfolio is designed with this challenge in mind, offering the broader Oracle expertise in big data as well as the industry-specific understanding of the communications market.”

“As the telecommunications industry accelerates its rate of change, it’s critical that CSPs leverage and monetize their network, service, and customer information,” said Clare McCarthy, practice leader, Telecom Operations and IT, Ovum. “To do so, they must first design analytics solutions that address their business problems in real time—and integrate them with existing data warehouse and analytics solutions. The latest releases of Oracle Communications Analytics products respond to this need and can provide value to CSPs looking to advance their big data and analytics efforts.”

Hitachi Data Systems unveils new automated IoT policing system

A new IoT system can predict crime by reading social media and analysing the public’s movements, claims Hitachi data Systems (HDS).

Hybrid cloud systems designed by HDS are to offer new automated policing systems, including predictive crime analytics and video management systems. The new public safety technologies were unveiled yesterday by HDS at the ASIS International Annual Seminar and Exhibits in Anaheim, California.

The new Hitachi Visualization Suite (HVS) (version 4.5) now includes Predictive Crime Analytics (PCA) and version 2.0 of the Video Management Platform (VMP).

The PCA predicts crime by analysing live social media and Internet data feeds to gather intelligent insights which enable the users of the system to make ‘highly accurate crime predictions’, claims HDS. Both social media and video camera data will be analysed for both historical crime and to predict potential incidents.

The HVS is a hybrid cloud-based platform that integrates disparate data and video assets from public safety systems, such as computer-aided emergency services dispatch, number plate readers and gunshot sensors. The real time info is then presented geospatially to monitors at law enforcement agencies in order to improve intelligence, support their investigations and make policing more efficient, says HDS. The geospatial visualizations will also provide better historical crime data, by presenting information on crime in several forms, including heat maps.

Blending real-time event data from public safety systems with historical and contextual crime data allows agencies to conduct more thorough analysis, using spatial and temporal prediction algorithms, that could help solve many hitherto unsolvable crimes. It could also provide underlying risk factors that generate or mitigate crime, says HDS.

The system uses natural language processing for topic intensity modelling using social media networks which, HDS claims, will deliver highly accurate crime predictions.

The systems will ultimately create faster police response times when situations develop, according to Mark Jules, HDS’s VP of Public Safety and Data Visualization. “Today, we are empowering them with the ability to take a proactive approach to crime and terrorism,” said Jules, “Public safety is a fundamental pillar of our vision for smart cities and societies.”

IBM launches Cloud Security Enforcer to counter employee data leakage failures

Security concept with padlock icon on digital screenIBM has created a Cloud Security Enforcer service to give companies a more commanding view of all third-party cloud apps used by their employees and new powers to secure them. The Enforcer aims to give companies more control over granting access to corporate data and applications.

Most companies can only see a fraction of the cloud applications used by their workforce, according to IBM’s research. An Ipsos poll, conducted on behalf of IBM in July, found that one-third of employees at Fortune 1000 companies are sharing and uploading corporate data on third-party cloud apps. These employees increasingly engage in risky practices on these tools, such as signing in with their personal email addresses, using weak passwords or re-using corporate log-in credentials, says IBM.

The cloud’s productivity dividend for companies is being undermined by the loss of control of corporate data and the lack of employee protection, it says. The Millennial generation (those born between 1982 and 2002) are the worst offenders and the biggest users of cloud apps, according to IBM’s study. By 2020 half the employees at Fortune 1000 companies will be millennials and of these 51 per cent use cloud services at work. One in four employees links these apps to his or her corporate log-in and password, leaving loopholes through which hackers can gain access to company networks.

Rogue activities on unsanctioned apps, known as ‘Shadow IT’, lead to a loss of control that IBM’s new cloud-based tool combats by scanning corporate networks, finding the apps that employees are using and providing a more secure way to access them. The system was built in partnership with file sharing app maker Box, which aims to strengthen the security of files shared over mobile devices and the web. IBM has also built secure connectors into Box’s file-sharing cloud app for Cloud Security Enforcer, as well as Microsoft Office 365, Google Apps and Salesforce with more apps connectors to be added to its catalogue.

The Cloud Enforcer users deep threat analytics from IBM X-Force Exchange, IBM’s global threat intelligence network, which is manned by a global network of security analysts which monitors the internet for malicious activity and analyses 20 billion global security events daily.

SAP announces improvements to cloud platform and Vora analytics software

SAP HANA VoraSAP has released new software that it claims will make analytics easier for users of open source Hadoop software.

The SAP HANA Vora is a new in-memory query engine that improves the performance of the Apache Spark execution framework. As a result, anyone running data analysis should be able to get better interactions with their data if it’s held on Hadoop and companies will benefit from more useful intelligence.

SAP claims this new software will overcome the general ‘lack of business process awareness’ that exists in companies across enterprise apps, analytics, big data and Internet of Things (IoT) sources. The software will make it easier for data scientists and developers to get access to the right information by simplifying the access to corporate and Hadoop data.

SAP HANA Vora will bring most benefit in industries where Big Data analytics in business process context is paramount. SAP identified financial services, telecommunications, healthcare and manufacturing as target markets. The savings created by the new software will come from a number of areas, it said. In the financial sector, the return on investment in the systems will come from mitigating risk and fraud by detecting new anomalies in financial transactions and customer history data.

Telecoms companies will benefit from optimising their bandwidth, SAP claims, as telcos use the software to analyse traffic patterns to avoid network bottlenecks and improve the quality of service. Manufacturers will benefit from preventive maintenance and improved product re-call processes as a result of SAL HANA Vora’s newly delivered powers of analysis of bills-of-material, services records and sensor data.

The use of Hadoop and SAP HANA to manage large unstructured data sets left room for improvement, according to user Aziz Safa, Intel IT Enterprise Applications and Application Strategy VP. “One of the key requirements is better analyses of big data,” said Safa, “but mining these large data sets for contextual information in Hadoop is a challenge.”

SAP HANA Vora will be released by the end of September, when a cloud-based developer edition will also be available. Here’s a SAP vid on the matter.

 

Networking the Future with SDN

SDN will be vital for everything from monitoring to security

SDN will be vital for everything from monitoring to security

The nature of business is constantly changing; customers are demanding faster, more responsive services, and as a result, firms need to ensure that their backend technology is up to scratch. Increasing adoption of the cloud, mobility and big data technologies has encouraged the IT department to address how they can best support these developing trends whilst benefiting the customer and employee experience.

By looking at the heart of their infrastructure, the network, businesses can provide more agile and flexible IT services that can quickly meet user demand.  So what improvements can be made to the networks to satiate customer demand?

A software defined network (SDN) is emerging as an obvious approach for technology decision makers, empowering them to provide a faster, more agile and scalable infrastructure. SDN is considered the next evolution of the network, providing a way for businesses to upgrade their networks through software rather than through hardware – at a much lower cost.

SDN provides holistic network management and the ability to apply more granular unified security policies whilst reducing operational expenses such as the need to use specific vendor hardware and additional technology investments. In fact, IDC recently predicted that this market is set to grow from $960 million in 2014 to more than $8 billion by 2018, globally.

A Growing Trend

Datacentres and service providers have, until now, been the most common adopters of SDN solutions. As a result there has been a notable improvement in better customer service and faster response times with firms deploying new and innovative applications quicker than ever. In the past year, we have seen firms in sectors like healthcare and education take advantage of the technology. However, while SDN is developing quickly, it is still in its early stages, with several industries yet to consider it.

There is a focus to encourage more firms to recognise the benefits of SDN in the form of the OpenDaylight Project. The OpenDaylight Project is a collaborative open source project which aims to accelerate the adoption of SDN – having already laid the foundation for SDN deployments today, it is considered to be the central control component and intelligence that allows customers to achieve network-wide objectives in a much more simplified fashion. The community, which includes more than a dozen vendors, is addressing the need for an open reference framework programmability and control enabling accelerated innovation for customers of any size and in any vertical.

Driving Business Insights

Looking ahead to the future for this new way of networking, there are a number of ways SDN can benefit the business. For example, SDN looks set to emerge as the new choice for deploying analytics in an economical and distributed way – in part due to the flexible nature of its infrastructure and the growing prominence of APIs – as the SDN optimized network can be maintained and configured with less staff and at a lower cost.

Data analytics-as-a-service is being tipped as the vehicle that will make big data commoditised and consumable for enterprises in the coming years; analyst house IDC found that by 2017, 80% of the CIO’s time will be focused on analytics – and Gartner predicts that by 2017 most business users and analysts in organisations will have access to self-service tools to prepare data for analysis themselves.

However, the right network environment will be key so that data analytics has the right environment to flourish. An SDN implementation offers a more holistic approach to network management with the ability to apply more granular unified security policies while reducing operational expenses. Being able to manage the network centrally is a huge benefit for firms as they look to increase innovation and become more flexible in response to changing technology trends.

Using analytics in tandem with a newly optimized SDN can empower IT to quickly identify any bottlenecks or problems and also help to deploy the fixes. For example, if a firm notices that one of their applications is suffering from a slow response time and sees that part of the network is experiencing a lot of latency at the same time, it could immediately address the issue and re-route traffic to a stronger connection.

Realising the Potential of SDN

In order to implement an SDN solution, it will be imperative for enterprises to firstly make themselves familiar with the technology and its components, create cross functional IT teams that include applications, security, systems and network to get an understanding what they wish to achieve and secondly, investigate best-of-breed vendor solutions that can deliver innovative and reliable SDN solutions which leverage existing investments without the need to overhaul longstanding technologies. This way, businesses can reap the benefits of SDN whilst saving time as well as money and mitigate risk.

Using analytics and SDN in combination is just one future possibility which could make it far simpler for businesses to deploy servers and support users in a more cost-effective and less resource-intensive way. It can also provide an overall improved user experience. With SDN offering the power to automate and make the network faster and big data providing the brains behind the operation; it’s an exciting match that could be an enterprise game changer.

Written by Markus Nispel, vice president of solutions architecture and innovation at Extreme Networks

PwC, Rosslyn partner on cloudy big data

PwC is teaming up with Rosslyn to help bring analytics-based insights to clients

PwC is teaming up with Rosslyn to help bring analytics-based insights to clients

Pricewaterhouse Coopers (PwC) announced a partnership with Rosslyn Analytics that will see the two firms jointly develop and offer cloud-based big data services to clients.

The two companies said they plan to use Rosslyn’s suite of cloud-enabled data technologies when advising clients on supply chain risk reduction, productivity optimisation and cost reduction, with PwC bringing its deep knowledge of different verticals to the table.

“For our clients, acquiring the knowledge most important to their operations, securing that information and using it optimally are critical – now more than ever before. We are delighted to be teaming up with Rosslyn to offer our joint knowledge and capabilities to clients – giving them one place to go, maximizing experience and assets from both organizations,” said Yann Bonduelle, PwC partner and head of data analytics.

“In our most recent survey of business leaders, 75 per cent of UK CEOs say that data and data analytics are proving valuable to them, whilst 79 per cent see data mining and analysis as one of the top digital technologies. This highlights how important it is to our clients to embrace the technology available to give them greater competitive advantage,” Bonduelle added.

Charles Clark, chief executive of Rosslyn Analytics, said: “Our collaboration is about helping clients to embrace their journey in analytics, and transform their organisations to thrive and maintain relevance in a rapidly changing world. An increasing number of companies, large and small, look to our data technologies to help them reduce costs and risks, and improve their revenue and productivity across their businesses.”

Like KPMG and others in the big four, PwC has struck several deals with cloud and data services providers in a bid to add more value to its client offerings. The company most recently struck a deal with Google that has seen it work closely with its clients to tailor Google Apps for Work to their specific business processes and needs, and help them optimise their operations.

IBM goes after healthcare with acquisitions, Apple HealthKit partnership, new business unit

IBM is pushing hard to bring Watson to the healthcare sector

IBM is pushing hard to bring Watson to the healthcare sector

IBM announced a slew of moves aimed at strengthening its presence in the healthcare sector including two strategic acquisitions, a HealthKit-focused partnership with Apple, and the creation of a new Watson and cloud-centric healthcare business unit.

IBM announced it has reached an agreement to acquire Explorys, which deploys cognitive cloud-based analytics on datasets derived from numerous and diverse financial, operational and medical record systems, and Phytel, which provides cloud-based software that helps healthcare providers and care teams coordinate activities across medical facilities by automating certain aspects of patient care.

The company said the acquisitions would bolster IBM’s efforts to sell advanced analytics and cognitive computing to primary care providers, large hospital systems and physician networks.

“As healthcare providers, health plans and life sciences companies face a deluge of data, they need a secure, reliable and dynamic way to share that data for new insight to deliver quality, effective healthcare for the individual,” said Mike Rhodin, senior vice president, IBM Watson. “To address this opportunity, IBM is building a holistic platform to enable the aggregation and discovery of health data to share it with those who can make a difference.”

That ‘holistic platform’ is being developed by the recently announced Watson Health unit, which as the name suggests will put IBM’s cognitive compute cloud service Watson at the heart of a number of healthcare-focused cloud storage and analytics solutions. The unit has also developed the Watson Health Cloud platform, which allows the medical data it collects to be anonymized, shared and combined with a constantly-growing aggregated set of clinical, research and social health data.

“All this data can be overwhelming for providers and patients alike, but it also presents an unprecedented opportunity to transform the ways in which we manage our health,” said John E. Kelly III, IBM senior vice president, solutions portfolio and research. “We need better ways to tap into and analyze all of this information in real-time to benefit patients and to improve wellness globally.”

Lastly, IBM announced an expanded partnership with Apple that will see IBM offer its Watson Health Cloud platform as a storage and analytics service for HealthKit data aggregated from iOS devices, and open the platform up for health and fitness app developers as well as medical researchers.

Many of IBM’s core technologies, which have since found their way into Watson (i.e. NLP, proprietary algorithms, etc.) are already in use by a number of pioneering medical facilities globally, so it makes sense for IBM to pitch its cognitive compute capabilities to the healthcare sector – particularly in the US, where facilities are legally incentivised to use new technologies to reduce the cost of patient care while keeping quality of service high. Commercial deals around Watson have so far been scarce, but it’s clear the company is keen to do what it can to create a market for cloud-based cognitive computing.

Fujitsu, Microsoft collaborate on Azure, Internet of Things

Fujitsu and Microsoft are partnering on IoT for farming and agricutlure

Fujitsu and Microsoft are partnering on IoT for farming and agricutlure

Fujitsu and Microsoft announced an Internet of Things partnership focused on blending the former’s devices and IoT services for agriculture and manufacturing, powered by Windows software and Azure cloud services.

The move will see the two companies offer a solution that blends Fujitsu’s Eco-Management Dashboard, an IoT service for the agricultural sector, and Microsoft’s Azure database services so that data collected from sensors deployed throughout the operations can be analysed to help firms save money and streamline processes.

The companies said the platform has uses in other sectors and can be tailored to a range of different niche verticals.

“Leveraging the Fujitsu Eco-Management Dashboard solution alongside Microsoft Azure and the Fujitsu IoT/M2M platform, we are able to deliver real-time visualisation of the engineering process for big data analytics to improve the entire production process and inform decision-making,” said Hiroyuki Sakai, corporate executive officer, executive vice president, head of global marketing at Fujitsu.

“We are proud to partner with Fujitsu to enable the next generation of manufacturing business models and services enabled by IoT along with advanced analytics capabilities like machine learning,” said Sanjay Ravi, managing director, Discrete Manufacturing Industry at Microsoft. “Fujitsu’s innovation will drive new levels of operational excellence and accelerate the pace of digital business transformation in manufacturing.”

Fujitsu has been doubling down on IoT this year, with manufacturing looking to be a strong sector for those kinds of services according to anlaysts. In January the company announced plans to expand its two core datacentres in Japan in a bid to accelerate demand for its cloud and IoT services.

The 2nd annual Internet of Things World event to be held in San Francisco in May is due to address some of the challenges ahead of the industry in terms of IoT. Sign up here.

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Cloud security vendor Palerra scores $17m

Palerra is among a number of cloud security startup combining predictive analytics and machine learning algorithms to bolster cloud security

Palerra is among a number of cloud security startups combining predictive analytics and machine learning algorithms in clever ways

Cloud security vendor Palerra has secured $17m in series B funding, a move the company said would help accelerate sales and marketing efforts around its predictive analytics and threat detection services.

Palerra’s flagship service, Loric, combines threat detection and predictive analytics in order to provide automatic incident response and remediation for malicious traffic flowing to a range of cloud services and platforms.

Over the past few years we’ve seen a flurry of cloud security startups emerge, which all deploy analytics and machine learning algorithms to cleverly detect perceived and actual threats and respond in real-time, so it would seem enterprises are starting to become spoilt with choice.

The $17m round was led by August Capital, with participation from current investors Norwest Venture Partners (NVP), Wing Venture Capital and Engineering Capital, and brings the total amount secured by the firm to $25m.

The funds will be used to bolster sales and marketing efforts at the firm.

“The dramatic rise in adoption of cloud services by today’s enterprises against the backdrop of our generation’s most potent cyber threats has necessitated a new approach. LORIC was designed to meet these threats head on and this new round underscores our commitment to deliver the most powerful cloud security solution in the industry,” said Rohit Gupta, founder and chief executive officer of Palerra.

“As the perimeter disintegrates into a set of federated cloud-based and on-premises infrastructures, effective monitoring becomes almost impossible, unless security controls are embedded in these heterogeneous environments. This will require enterprises to reconsider and possibly redesign their security architecture and corresponding security controls by placing those controls in the cloud,” Gupta added.