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our research

Our Research

ResearchAreaBigData
Big Data Research

Assistant Vice President: Chris Volinsky

The mission of Big Data Research is to invent the new technologies  and build platforms which empower AT&T’s Big Data initiatives. Our  expertise is in Statistics and Machine Learning, Data Visualization,  Databases, and Business Intelligence. Within our organization we have  decades of experience managing and analyzing the industrial-scale  massive data repositories generated by AT&T, its network, and its  customers. On a given day we are poring through billions of  transactional, spatio-temporal, and unstructured data records, and have developed cutting edge tools for streaming data management, analysis,  and visualization of this data.

ResearchAreaCloud
Cloud Technologies and Services Researc

Assistant Vice President: Alicia Abella

The Cloud Technologies and Services Research Lab has been organizing its major projects around cloud, mobile, and service software to drive requirements for cloud technology, and illuminate the future of  cloud-based services from mobile endpoints of all types, to network  services that are the underpinning of the Software Defined Network (SDN). AT&T’s vision for the connected future is rooted in the work our Cloud Technologies and Services research program is driving around the network-capable cloud. Our work is helping propel the industry shift  toward using software on standard equipment to perform network  functions. We’re inventing ways to run existing network function and  services in a cloud-based environment, to enable more collaborative  development with partners and make services more flexible and  cost-effective. We’re also exploring cloud-based verticals that provide the highest possible quality of service for applications and services  placed in the cloud infrastructure. And as the data around us increases at an astounding rate, especially in mobility, we’re inventing new  techniques for distributed cloud storage, both within AT&T and for  our customers.

  • Distributed software & systems
  • Cloud technologies & services
  • Software system design
  • Software development & delivery in cloud environments
 
  • Virtualized mobile infrastructure
  • Network storage systems
  • Software-defined storage system
 
ResearchAreaIntelligentSys
Intelligent Services and Platform Research

Assistant Vice President: Mazin Gilbert

The mission of the organization is to conduct research that empowers the next generation of autonomous and interactive services. Areas of focus include multimedia analytics (video, voice and text), machine learning, business intelligence, big data software platforms, communication services and human/machine interaction. Our inventive scientists and technology engineers engage in key technical challenges that involve massive amounts of heterogeneous data and large-scale distributed computing. We continue to explore a new line of self-aware and contextual services that drive new revenue opportunities, reduce operations costs and increase emotional attachment to AT&T’s products and services. We have demonstrated significant business impacts in areas of multimedia cloud enablers and application solutions for a variety of business services including connected car, digital life, digital care, big data, emerging devices, and enterprise business.

  • Multimedia analytics (video, voice and text)
  • Machine learning and artificial intelligence
  • Business intelligence
  • Big data software platforms
 
  • Communication and network-on-demand services
  • Human/machine interaction
  • Data Management, analytics, anonymization and routing
  • Digital care
 
ResearchAreaNetworking
Networking and Service Quality Management Research

Assistant Vice President: Jennifer Yates

As traffic volumes, application diversity and customer expectations continue to expand, service providers must fundamentally transform the technologies from which networks are built and advance the state-of-the-art in how networks and services are designed and managed. Our Networking and Service Quality Management Research program is  focused on these crucial issues across mobile, IPTV, IP and optical  networks and services. We invent cutting-edge technologies that  revolutionize how networks and services are architected, transforming  network efficiency and enabling the rapid creation of innovative new  services. Our team explores intricate cross-layer issues, which require a   deep understanding of the complex relationships across multiple network  layers all the way through the application layers and services that use  them. Furthermore, our team is leading the  invention and prototyping within AT&T of new technologies that  transform carrier operations methodologies from yesterday’s narrow focus  on network elements faults and performance to a more comprehensive  focus on the total customer experience. Our technologies are widely  deployed and utilized across AT&T and the broader industry.

  • Network architectures
  • Network design and planning
  • Network control architectures, including Software
    Defined Networking & Network Function Virtualization
  • Network management
  • Application resource optimization
 
  • Video optimization
  • Application performance
  • Big data technologies
  • Data mining
  • Service Quality Management
  • Policy driven network orchestration and control
 
meier_hellstern
Optimization, Reliability and Customer Analytics (ORCA)

Assistant Vice President: Kathleen Meier-Hellstern

ORCA’s technology mission is to create predictive models,  optimization and analytics to cost-optimize networks and create a  best-in-class user experience for our customers.  ORCA delivers original   solutions to some of our Company’s (and industry’s) most compelling and  urgent challenges, ranging from network optimization and reliability,  to predictive analytics and modeling, Big Data insights, and agile  development and analytics solutions prototyping. We are responsible for  platform optimization as well as prototyping for strategic platform  elements in AT&T’s Software Defined Network Architecture, aka D2, to  intelligently scale AT&T’s network, enable rapid deployment of  advanced cutting-edge features and services, and provide industry  leading security, performance and reliability.  It’s also an exciting  time for ORCA in the area of Big Data analytics as we bring together  extensive domain knowledge of business, consumer, mobility and IP  services, together with the required technology expertise to harness new  business opportunities using Big Data.

  • SDN Traffic Engineering
  • Network Function Virtualization optimization
  • Mobility & Enhanced Services Performance & Reliability
  • Network Planning and Optimization for IP, Fiber and Access networks
  • Mobility Forecasting & Analytics
  • Big Data Analytics for Enterprise and Consumer Services
 
  • Big Data Location Analytics Insights
  • Virtualized Services Platform Prototyping. 
  • Mobility Network Analytics Applications
  • Big Data Platform Enhancements