NRF 2015 is a wrap. The annual show where anyone who’s anyone in retail goes to learn about the latest ways to grow revenues and improve store operations. Here’s something you may have missed:
Meet Collecto. Your one stop shop for all marketing Read More »
Tags: Big Data, cmx, collecto, marketing insights, mobility
As the Cisco 2015 Annual Security Report shows, current security approaches aren’t sufficient. Attackers are shifting methods and becoming more sophisticated in their approaches, users are unwittingly complicit enablers, and defenders struggle to keep up with all of these things. It is time for defenders to take a different approach to security that not only outwits attackers but also makes security a competitive advantage that enables business growth.
By taking a threat-centric and operational approach to security, organizations can reduce complexity and fragmentation, while providing superior visibility, continuous control, and advanced threat protection across the extended network and the entire attack continuum.
Using Cisco technology, this approach is enabled by broad visibility for superior intelligence across the extended network, where all the solutions a customer deploys communicate with each other. Organizations using siloed solutions will have holes in their security. Siloed solutions do not provide full protection since they do not communicate with one another, thus leaving security gaps and the inability to create actionable intelligence.
Cisco can provide a holistic solution to this problem by reducing the attack surface and extending protection across the network – before, during and after attacks.
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Tags: 2015 annual security report, Big Data, byod, Identity Services Engine, ISE, Managed Threat Defense, security
2014 ended with a flurry of technology conferences in Europe and the Middle East. In November, the European Commission’s (EC) annual Information and Communications Technology (ICT) Conference addressed how to make the EC a 21 Century organization. In December, the International Telecommunications Union Telecommunications Standardization Sector ( ITU-T) hosted a meeting in Doha, Qatar for CTOs. Among the issues discussed were updates on the Global Standardization Landscape, status of Internet of Things Standardization and next generation video technologies and standards. Also in Doha, at the same time The ITU hosted World Telecom whose theme was “Future in Focus: how disruptive developments in technology, business and society are transforming the ICT industry.” All the meetings gave us much to think about for 2015. Günther Oettinger , European Union Commissioner for Digital Economy and Society kicked-off the ICT DIGIT-IT conference by outlining his strategy for achieving a digital transformation within the European Union. He went on to detail specific areas he thought needed the most attention including:
- Effective Workplace
- Real time administration
- Open Data
- Collaborative working tools
- Security and cyber-security (mentioned as number 1 priority)
- Growing usage of Cloud for non-strategic data
- Importance of Big Data and Internet of Everything
- Openness and Collaboration between the different EU organizations
- Attracting young generation within EU, build and retain talent
As Commissioner Oettinger concluded his presentation, I was struck by how similar Read More »
Tags: 2015, Big Data, cloud, Doha, global stand, Internet of Everything, Service Provider
Last month, we proudly announced Connected Analytics for the Internet of Everything (IoE), easy-to-deploy software packages that bring analytics to data regardless of its location. It is a continued part of our commitment to delivering on our vision for fog computing, also called edge computing, a model that does not require the movement of data back to a centralized location for processing. If you’ve been reading my blog, you’ve seen me write about this as the concept of ‘Analytics 3.0’ or the ability to do analytics in a widely distributed manner, at the edge of the network and on streaming data. This capability is unique to Cisco and critical for deriving real-time insights in the IoE era.
To perform analytics using a traditional computing method, once data is generated it is aggregated, moved and stored into a central repository, such as a data lake or enterprise data warehouse, so it can be analyzed for insight. In the IoE, data is massive, messy, and everywhere – spanning many centralized data repositories in multiple clouds, and data warehouses. Increasingly, data is also being created in massive volume in a very distributed way…from sensors on offshore oil rigs, ships at sea, airplanes in flight, and machines on factory floors. In this new world, there are many problems that arise with the traditional method – not only is it expensive and time consuming to move all of this data to a central place, but critical data can also lose its real-time value in the process. In fact, many companies have stopped moving all of their data into a central repository and accepted the fact that data will live in multiple places.
Analytics 3.0 creates a more appropriate model, where the path to derive insight is different by combining traditional centralized data storage and analysis with data management and analytics that happen at the edge of the network…much closer to where the huge volume of new data is being created. Analytics involves complicated statistical models and software, but the concept is simple…using software to look for patterns in data, so you can make better decisions. It makes sense then to have this software close to where data is created, so you can find those patterns more quickly…and that’s the key concept behind Analytics 3.0. Once it’s analyzed, we can make more intelligent decisions about what data should be stored, moved or discarded. This model gives us the opportunity to get to the ‘interesting data’ quicker and also alleviates the costs of storing and moving the ‘non-interesting data.’
Analytics 3.0 is not about replacing big data analytics, cloud analytics and other centralized analytics. Those elements are all part of Analytics 3.0, but they are not sufficient to handle the volume of massively distributed data created in the IoE, and so they must be augmented with the ability to process and analyze data closer to where it is created. By combining centralized data sources with streaming data at the edge, you will look for and find new patterns in your data. Those patterns will help you make better decisions about growing your business, optimizing your operations or better serving your customers…and that is the power of Analytics for the IoE.
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Tags: analytics, Big Data, cloud, connected analytics, data, Internet of Everything, IoE
In today’s era of increasing connectivity, data is getting generated in vast proportions. Moreover, it is also important to be able to generate insights from it quickly and act accordingly. Gone are the days when one would move data into a data warehouse and then extract insights from it to act at a later date. Here are four scenarios why.
Scenario 1: Cloud and Social
If a discussion around a brand is trending positively or negatively, that organization needs to take action then and cannot wait for a future time to do so. They might want to capitalize on the positive sentiment and amplify it or perhaps take action and remedy a trending negative sentiment. Both Twitter and Facebook provide several real time analytics capabilities leveraging big data technologies that they pioneered themselves. These analytics run within their cloud environment and provider users real time insights.
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Tags: Big Data, cloud, InterCloud, IoE, IoT