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Opening remarks

《Presentation》

《Talk Session #1》

《Talk Session #2》The World as Seen Through AI-integrated Smart Glasses

Recently, various Ai-equipped, voice-enabled devices have been introduced to the market and some vendor’s strategy is to have one such device in each room (of a user’s house or building). When smart glasses that combine technology and fashion and that can be worn every day, such as Vuzix is proposing with the Blade series, we believe that they will become so commonplace that everyone will be using them.
The future of UI: from manual to voice control.

《Presentation》How solving the data problem is changing the future of AI

Fortune 500 companies are looking for ways to implement Artificial Intelligence to reduce operating costs and increase market share. However, with this rapid evolution, the expectation of what AI can do is set high, often to unrealistic levels.
A big part of the problem has to do with data quality, type and size. In the last 10 years, a few technology shifts happened that are the genesis of the AI revolution: 1) Machine learning switched from rule based to statistically-driven models, 2) Cloud computing emerged allowing unlimited computing power and 3) Connectivity has enabled people to work together on demand, anywhere, online.

Machine learning models now require high quality training data at scale. Obtaining high-quality training data is a complex, multidisciplinary process. The procedure is time consuming and often tedious, forcing data scientists to spend 80% of their time cleaning and structuring data. Deprioritizing data quality, however, ends up compromising the model quality by leading to poor results and high dissatisfaction by users. Bad quality data leads to terrible customer experiences, which can even sometimes taint the brand of a company. So where exactly should a data scientist invest time & resources? Building models or handling data?
In this talk, we will show how data scientists can build better models by accessing higher quality training data and use a platform that combines built-in data workflows, people-in-the-loop and machine learning.

Opening remarks

Anatomy of a Mobile Hack

To businesses, smartphones and tablets are tools that make people more productive. In the next 5 years, the majority of enterprise software interactions will take place on a mobile device. To hackers, however, mobile devices are valuable target that many business have forgotten to protect. In this talk, Lookout Founder and CTO, Kevin Mahaffey, will share details about attackers go about hacking mobile devices and how businesses can protect themselves.

The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense

・How new machine learning and mathematics are automating advanced cyber defense
・Why 100% network visibility allows you to detect threats as they happen, or before they happen
・How smart prioritization and visualization of threats allows for better resource allocation and lower risk
・Real-world examples of unknown threats detected by ‘immune system’ technology

Protect your organization against ransomware

While the WannaCry ransomware scare was a wake-up call for many, the Petya/NotPetya outbreak just a few weeks later quickly showed that many organizations are still asleep when it comes to protection against modern ransomware.
The most remarkable aspect of both attacks was that simple, effective security practices could have kept these threats from going anywhere from the start.

Join Masahiro Nishimura, Country Manager at Carbon Black, in his presentation where he looks back at the two most recent outbreaks and shares the top five actions to take today to keep an organization safe when the next big ransomware attack hits.
During the presentation, Nishimura-san will cover:
・How Wannacry and Petya/NonPetya highlighted the need to improve basic security practices.
・Five tactical best practices that wil help defend against the next big attack.
・Why next-generation security platforms are necessary to combat new and emerging threats.

Next Generation Network Cybersecurity with Data Diodes

Endorsed by the US Department of Homeland Security, FBI and NSA, data diodes are powerful cybersecurity tools to protect sensitive networks, devices, and systems. Designed specifically to provide hardware-enforced network segmentation and one-way-only data transfers, data diodes are the strongest security available short of a physical air gap. This presentation will detail next generation data diode solutions that can simultaneously transfer multiple data types and streams, including files and directory structures, full motion video, databases and schema, and more, at speeds up to 10 Gbps.