Graph AI Summit is the first and only open conference for accelerating analytics, AI and machine learning with graph algorithms.

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.

Jane Wang started out as an applied physicist modeling the complex network dynamics of memory systems in the brain before moving into experimental cognitive neuroscience as a postdoc at Northwestern. Since joining DeepMind two years ago, her non-machine learning background has equipped her with a unique set of tools and perspectives for tackling the hardest AI problems. "It's exhilarating to formulate theories of human brain function as powerful deep reinforcement learning models that can solve similarly complex tasks," she shares. Though Wang has been successful without a formal AI background, she's concerned the steep learning curve and hypercompetitive atmosphere of AI research can discourage diverse participation. "Although competitiveness drives the field forward, it also discourages those who wish to work in more inclusive, cooperative environments," she warns.

Some people think I am a machine learning expert. And in some ways, I am, which is great, because it is suddenly the flavor of the week--and I have lots of companies asking me for help solving their marketing problems with this new secret sauce. What I know is less how machine learning works, and more how to know that machine learning will help you with your marketing problem. What I don't know is all how all of the lovely algorithms in the picture above actually work. And you don't need to, either.