Track: Keynote

Since it was founded 12 years ago, BrainPad has been a startup company focused on data analysis in Japan, eventually listing on the first section of the Tokyo Stock Exchange. In this talk, BrainPad’s founder will introduce what he learned as an entrepreneur, and the difficulty and fun of launching a business in Japan that is based on analytics and the size of the opportunity. Learn what are the points that are still applicable, 12 years later, to the current artificial intelligence boom.

Information security is ultimately focused on one key goal: reduction of risks. Risks of data loss, reputation damage, and disruption to the productivity of your organization. But what drives the actions of your security teams?

Are they effectively prioritizing what needs protection as well as identifying the most likely threats, or if a breach has already occurred? Understandable and actionable threat intelligence has the power to inform more proactive—and therefore more effective—information security. And time is critical, so this intelligence should be available and actionable in real time.

Threat intelligence examples covered in this presentation include:

• Monitoring for direct threats to the company, including quickly gathering threat intelligence on “data dump” sites and the dark web for much faster crackdown on potentially serious data leaks.
• Analyzing the latest attacker tactics, techniques, and procedures (TTPs) for reduced risk of breaches and greatly improved resource allocation.
• Identifying and prioritizing vulnerabilities relevant to your company and technology stack, to lower the risk to the business.

The Internet of Things is the hottest topic of the moment—a shift predicted to be as momentous as the impact of the internet itself. The internet has allowed us to share ideas and data largely input by humans. What about a world where data from objects as diverse as cars, jewelry, and office furniture all flows through the internet? We are truly at the frontier of a new, hyper-connected future: and MIT Media Lab’s David Rose is our guide. Author of the first best-selling book on the subject, Rose is bringing the inevitable takeover of the Internet of Things to the forefront of public consciousness. If you own a business, if your company makes a product, if you are involved in manufacturing, supply chain management, environmental monitoring, transport, retail, healthcare, urban planning, architecture, design—literally any industry—your sector will be affected.

In this mind-opening conversation, Rose explains how to profit from the Internet of Things. He describes how products are poised to become services, and how we will be creating new user experiences, not new technology. Instead of staring at our iPhone screens, we will be surrounded by simple, polite, connected objects that anticipate our needs and serve us. How can you embed connectivity and productivity into your product? he asks. It’s time to revolutionize the way your company thinks about technology, design, and making money.

Computer systems can understand the language that people use better if they share the background knowledge, the “common sense,” that people use when they communicate. Machine learning can be more effective and require less training data if it starts from this background of “common sense,” understanding what people are talking about in general when they use language, before learning from its input data.

We discuss the long-running open-data project ConceptNet, a multilingual knowledge graph that connects words and phrases of natural language with labeled relationships, providing background knowledge and common sense about what words mean in many languages. ConceptNet has specifically collected data in Japanese, among other languages, creating a high-quality multilingual representation that does not depend on machine translation. We then discuss how to use ConceptNet in modern machine learning and show how ConceptNet is used in a commercial setting at the enterprise feedback management company Luminoso.

History has proven that economic prosperity requires constant innovation, realized as a startup community today that provides the most new job growth of any sector. So, how do we spur more innovation? Data shows that collaboration is the greatest driver of innovation. Tim Rowe will profile the rise of Cambridge, MA from a sleepy industrial zone to a thriving global innovation ecosystem and address how these learnings can apply in a Tokyo-specific context. At the heart of Cambridge’s transformation has been CIC (Cambridge Innovation Center) and its affiliate organizations, founded by Tim, which concentrates innovators and startups in one place to serve as a launching pad for entrepreneurs. The result has been immense: 3,300 client companies served since 1999, $2.7B of venture capital invested in CIC client companies and $3.9B, of IPOs/publicly disclosed exit values.

What is a neural network? Why is deep learning so important? What are the challenges for introducing these technologies to production services? In this session, we will look at the answers for these questions and how Google has been successfully deploying large scale neural networks on services such as Google Photos, Android and Google Search. Also, we will introduce the new Google Cloud products such as Cloud Vision API, Speech API, TensorFlow and Cloud ML that allows developers to take advantage of the power of Google’s machine intelligence with scalable and fully managed services.