Tech Talk Series: Where do you start with AI and ML? Designing and building Artificial Intelligence and Machine Learning from the ground up!

Events

Tech Talk Series: Where do you start with AI and ML? Designing and building Artificial Intelligence and Machine Learning from the ground up!

Date: September 12th from 10am - 2pm | Location: DreamPort Facility in Columbia MD


Abstract

Abraham Lincoln once said, "Give me six hours to chop down a tree and I will spend the first four sharpening the axe." Building out actionable Artificial Intelligence (AI) is a task that requires the right tools in order to be executed in an efficient manner.

Visionaries across the government are looking for ways to apply AI to enable efficiencies, reinvent the way we defend the network, drive the mission–and change the world. Hostile actors are taking advantages of advances in technology and now every organization across the DoD is asking, What do I do next?

Join NVIDIA, NetApp, and Cisco to learn about how to sharpen your IT infrastructure axe, so your organization can tackle your AI/ML tasks in the most efficient manners possible. This DreamPort Tech Talk series is designed to give anyone being tasked with an AI/ML project, from SES to end user, an idea of what needs to happen to create a network that will allow you to build the tools necessary for mission accomplishment.

The target audience is anyone interested in AI, from experienced user to someone who is unfamiliar and curious about what all of the buzz is about.

Agenda

10:00 Welcome – Len Fleichmann
10:15 – 11:30 (75 min) NVIDIA – Deep Learning – GPUs – AI overview (A. Thompson)
11:30 – 12:15 (45 min) NetApp: Fueling AI with Data (J. Kleinmeyer)
12:15 – 1:00 (45 min) Lunch
1:00 – 1:45 (45 min) Cisco – Operationalize Machine Learning (K. Bakshi)
1:45 – 2:00 (15 min +) Panel / Q&A – NVIDIA + NETAPP + CISCO

About NVIDIA

NVIDIA IS DRIVING NEW BENEFITS ACROSS SOCIETY. Alongside educators, scientists, and humanitarians, NVIDIA is involved in the global effort to democratize AI and deep learning for the common good. GPU-accelerated systems are assisting during natural disasters; serving communities by improving safety, power efficiency, and traffic flows; and providing crucial aid in healthcare by helping develop customized medicines.

These revolutionary solutions are made possible with NVIDIA technology.

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About Cisco

Cisco helps seize the opportunities of tomorrow by proving that amazing things can happen when you connect the unconnected. An integral part of our DNA is creating long-lasting customer partnerships, working together to identify our customers' needs and provide solutions that fuel their mission success.

Cisco's leadership position as one of the largest market shareholders in areas such as the network, security, cloud, analytics and collaboration, enables us to approach AI/ML with a holistic perspective toward driving mission outcomes. Drawing on our organization's wide visibility of data, Cisco is building AI-ML capabilities across our portfolio of products and solutions in networking, security, data center, cloud, analytics, and collaboration.

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About NetApp

NetApp is the data authority for hybrid cloud. They provide a full range of hybrid cloud data services that simplify management of applications and data across cloud and on-premises environments to accelerate digital transformation. NetApp is the #1 provider of storage and data management solutions to the Federal Government, DoD, USCC and the MPO. Together with their partners, they empower global organizations to unleash the full potential of their data to increase mission success, foster greater innovation and optimize their operations. Learn more.

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Speakers

Kapil Bakshi Distinguished Engineer, Cisco Systems Inc.
Kapil Bakshi is a Distinguished Engineer for Cisco Systems Inc. He is responsible for leading and driving technology & business Architectures, including Data Center, Analytics, AI and cloud computing strategy and initiatives. Kapil has extensive experience in strategizing, architecting, managing, and delivering complex technology solutions. During his career, he has held several architectural, consulting, and managerial positions within the industry. Prior to Cisco, Kapil worked for Sun Microsystems, where he spent a decade working with US Government, Enterprise and Service Provider customers. Prior to SUN Microsystems, he worked for Hewlett-Packard and several government system integrators in consulting and product development roles. Kapil is a native of Washington D.C. and holds both a BS in electrical engineering and a BS in computer science from the University of Maryland, College Park, as well as an MS in electrical & computer engineering from Johns Hopkins University, and an MBA from the University of Maryland, College Park. He chairs and leads several industry forums. He also holds U.S. patents for data center and related solution sets.

Dr. Larry BrownManager, Federal Solutions Architecture Team, NVIDIA
Larry Brown Ph.D. is a Sr. Solutions Architect with NVIDIA, and manager of the Federal Solutions Architecture team. His team helps customers design and deploy GPU accelerated workflows in high performance computing, data analytics and deep learning. Dr. Brown has 20 years of experience designing, implementing and supporting a variety of advanced software and hardware systems for defense and national security applications. Prior to joining NVIDIA he worked for some technology start-ups, as well as some large defense systems companies including General Dynamics, Textron and Booz Allen. Larry has designed electro-optical systems for head-mounted displays and training simulators, developed GIS applications for multi-touch displays, and been a software engineer on UGV and UAV programs. He has a Ph.D. from the Johns Hopkins University in the area of Vision Science and a graduate certificate in Software Engineering from the University of Colorado. LinkedIn

Jim Kleinmeyer has over 35 years of experience with engineering design and support of data processing systems for the federal government. Before Joining NetApp, Jim served as a Senior Systems Engineer for SGI, Federal working to support the DOD and Intelligence Community in key computational, storage and graphics related areas. Prior to joining SGI, Jim served as a Storage Architect for Seagate Systems where he architected storage solutions to support the Navy's Aegis software development program. Prior to joining the private sector, Jim served as Research Engineer for the US Army Research Laboratory. His work to refine such techniques as Photon Tunneling Microscopy, Environmental Scanning Electron Microscopy, and Scanning Probe Microscopy enabled improvements in soldier protection systems, advanced armor, helicopter rotor blades and Nano scale materials. Jim's professional credentials include three patent awards, and over 15 peer review publications totaling 3500 + citations, as well as a co-authorship for a chapter in the ACS Polymer Nanofibers Series 918, entitled "Key Parameters Influencing the Onset and Maintenance of the Electrospinning Jet", Copyright 2006, American Chemical Society. Jim holds an Advanced Engineering Degree from the U.S. Army Materiel Command, School of Engineering. As well as a B.S. Electrical Engineering from Florida Atlantic University. LinkedIn

About the Maryland Innovation & Security Institute

The Maryland Innovation & Security Institute (MISI) is a non-profit formed exclusively to further and promote charitable, educational, and scientific purposes including, but not limited to, furthering innovation in cybersecurity through education, global technology partnerships, investment, and community engagement to create a collaborative network of subject matter experts and cyber professionals.

About DreamPort

DreamPort is a combination of state-of-the-art facilities, innovative programs, and imaginative people charged with finding that spark that leads to unparalleled capability for USCYBERCOM and the warfighters at large.

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