Multisite business across the globe are migrating their branches and stores to SD-WAN services from dedicated MPLS, realizing up to 40% cost savings and a 30% increase in bandwidth, coupled with an exponential increase in agility. Similarly, migrating to a cloud-based communication system along with consolidating voice providers and converting to centralized SIP trunks can save thousands or tens of thousands of dollars each month. Implementing both migrations at the same time helps maximize the benefits, offering economies of scale, business continuity and increased ROI.

This webinar will provide insight into the ROI model as well as key steps to plan for enterprise-wide transformation. An expert panel will discuss important considerations that need to be taken into account to migrate off of legacy MPLS networks and premises-based PBXs; creating a solution that is compelling for both customers and employees.

Zero Trust is quickly becoming the dominant security model for the cloud, shifting the perimeter from the network to the people and devices that make up a modern workforce. As a model with many moving parts, the immediate question is where to start?

The rumors of Hadoop’s demise started almost as soon as the technology started to gain traction. That was 10 years ago. The reality is that the original technologies incubated by Google and Yahoo have spawned one of the largest and most successful open source development communities of all time.

In this webinar, you will learn about 3 Hadoop trends that can impact the way you do data analytics. The Apache Software Foundation released a new major version of Hadoop (3.0) in December of 2017. In addition to the usual bug fixes and incremental fixes, Hadoop 3 includes several major new features that organizations can leverage including support for Docker containers and GPUs together with new ways to store large amounts of data with less redundancy overhead.

Artificial intelligence (AI) promises to reshape the way IT organizations deploy and manage infrastructure and how users consume those services.

On the networking front, AI allows networks to be more predictive and intelligent, with the ability to automatically make recommendations and implement policies to save time and money and reduce downtime.

The IT department at Dartmouth College is on the leading edge of this movement, realizing that students learn best using a network architecture that is learning, too. Dartmouth's new AI-driven network ensures fast and reliable connectivity to key resources across campus, and it enables educators to incorporate the most engaging content into their lesson plans.

In this webinar, the CIO of Dartmouth, Mitch Davis, is joined by experts from Mist and Juniper to describe how AI-driven networks are boosting the user experience at the esteemed Ivy League college and the lessons that enterprise IT can learn from their implementation.

Envision a future in which executives have immediate access to streaming data detailing the inner workings of their business, where they can mine large data stores for valuable insights providing a competitive advantage. The path to achieving this vision isn’t always clear, but this webinar series can help.

The time of the traditional data warehouse is coming to an end.  Designed to meet business intelligence needs of an earlier era traditional data warehouses can’t handle the large quantities of data that current and future businesses need, nor can they provide real-time processing capabilities.  Worse, many traditional data warehouses become prohibitively expensive as data stores grow.   

To meet existing and future needs, organizations need a new kind of data warehouse that can handle both kinds of data processing: batch workloads for traditional reporting, as well as real-time or near-real-time streaming data. For this, they need a data warehouse of the future based on Lambda architecture.

Headless content delivery is seeing rapid adoption as a way to manage digital experiences across the ever-expanding number of channels customers interact with.  Delivering content stored in your Content Management System (CMS) or Digital Asset Management (DAM) system quickly and efficiently to any end point is critical for delivering exceptional customer experiences.

Many traditional Web Content Management (WCM) and CMS vendors are providing headless content delivery options as a way to support web and non-website experiences.  Are you looking at how to integrate your WCM/CMS tools with a modern approach to web development and omnichannel content delivery?  Are you interested in getting a review of architectural options to leverage your investment in Experience Management/WCM/CMS systems?  If so, then this webinar is for you.

Cost savings, storage, ease of updates. The allure of the cloud is hard to ignore, with some reports citing over 90% of organizations using cloud services in some manner. But all the benefits of the cloud disappear if you can't keep your data and users safe. In a perimeter-less world, it's identity that becomes the heart of security. Join us to discover why modern security starts with identity first and how identity can help overcome cloud frustrations.

We've actively shifted into the information age. This, alone, has caused a vast increase in data, the way we leverage technology, solutions, and how we - as users and customers - consume technology. To help work with all of this information, new solutions have been impacting users, organizations, and our entire industry. Plus, we are operating in day-to-day situations full of complexity, data avalanches, constant change to the fundamental ways work gets done. As we implement new tools and processes, manage technology infrastructure and tools, and lead our teams, how do we stay focused on creating business value for our companies and employees? Remember, your users and customers aren't just 'consuming' technology, they're leveraging these solutions for work, home, and - literally - every minute of their lives. This means we can't just give users a piece of technology. Rather, we have to give them an experience; preferably a positive one.
 
In this session, we'll offer strategies and tips for IT leaders and staff to serve their users and customers -- both internal and external -- by understanding the behaviors and business outcomes that are most important. We'll examine how the modern user has evolved and where they require good experiences. From there, we'll offer examples and strategies that enable IT to support all its customers, discussing how to best support technology initiatives that drive the business forward and examining how the modern workforce is evolving, requiring new tools to help employees optimize productivity and performance.

Enterprises are projected to spend an estimated $96 billion on security products and services in 2018. But will they have the empirical data to know if those investments actually reduce their exposure to threats? In our discussions with chief information security officers (CISOs), within the financial services industry, this lack of information is a recurring topic of concern.

Supporting this need for ongoing measurement, governments and regulators have produced a number of frameworks that apply to the financial services industry, including NIST, FFIEC, and GDPR (if conducting business in the European Union). All of these frameworks contain mandates for measuring and monitoring security controls. If you have not yet done so, now is the time to think about the resources you will need to implement a successful continuous monitoring program.

Anil Nandigam, Senior Director of Product Marketing with NSS Labs, will conduct a live demonstration of the Continuous Security Validation Platform. This cloud-based customizable platform provides real-time empirical data regarding the effectiveness of enterprise security controls and also reveals the operating systems and applications most often targeted by today’s active threats.

Once you've begun to use Hadoop for ETL offload, the next logical steps on your journey toward the data warehouse of the future are to create an active archive and a data repository.

Most organizations have structured data they rarely access, but do not want to delete. Moving this cold data into Hadoop for active archive keeps it available for analytics and search while lowering costs. In fact, according to one study, storing data in Hadoop instead of a legacy data warehouse saved organizations $15 million on hardware costs.

Moving siloed and unstructured data to Hadoop makes more data available for advanced analytics, which helps companies increase profits, reduce fraud, decrease reporting costs and boost productivity. It also sets them up for the final step in the journey: Lambda Architecture with In-Memory Technology.