Make Alexa and Siri speak with each other: Toward a universal grammar in AI
February 18, 2020
More than 50% of all interactions between humans and machines are expected to be speech-based by 2022. The challenge: Every AI interprets human language slightly different. Tobias Martens details current issues in NLP interoperability and uses Chomsky's theory of universal hard-wired grammar to outline a framework to make the human voice in AI universal, accountable, and computable.
The power of knowledge at scale
February 17, 2020
The AI revolution is poised to scale both machine and human knowledge. To generate that knowledge, companies must think differently about AI and how to deploy it. Alexis will cover the three Bes, and how to approach AI systematically to truly harness knowledge at scale.
Lightning Talk: Risk Associated with Corporate Presence and Employee Personal use of Social Media
January 31, 2020
Social media technology involves the creation and dissemination of content through social networks using the Internet. The difference between traditional and social media are defined by the level of i …
January 27, 2020
Machine learning (ML) drove massive growth at consumer internet companies over the last decade, enabled by open software, datasets, and AI research. For many problems, ML will produce better, faster, and more repeatable decisions at scale. Unfortunately, building and maintaining these systems is difficult and expensive. Pete Skomoroch explores what you need to produce better ML results.
Real-time streaming APIs: From data center to internet clients
January 26, 2020
When designing APIs such as the new GCP Firestore real-time database and Google Assistant, how did Google decide which trade-offs to make? Wenbo Zhu dives deep into the challenges faced while deploying a real-time streaming API designed for clients from data centers to the internet and details the trade-offs API developers need be aware of when designing such an API.
Which edge do you need: Managing multiple edges to deliver the next industrial revolution (sponsored by Verizon Digital Media Services)
January 18, 2020
Dave Andrews sheds light on how the edge landscape has beenand is stillevolving with a look at the new class of low-latency/high-bandwidth application domains and how Verizon Digital Media Services is helping to deliver this to its customers.
Disrupting data discovery
January 12, 2020
Mark Grover discusses how Lyft has reduced the time it takes to discover data by 10 times by building its own data portal, Amundsen. Mark gives a demo of Amundsen, leads a deep dive into its architecture, and discusses how it leverages centralized metadata, PageRank, and a comprehensive data graph to achieve its goal. Mark closes with a future roadmap, unsolved problems, and collaboration model.
How to mitigate mobile fraud risk by data analytics
January 9, 2020
Seonmin Kim offers an introduction to activities that mitigate the risk of mobile payments through various data analytical skills, drawn from actual case studies of mobile frauds, along with tree-based machine learning, graph analytics, and statistical approaches.
How Open Networking can Manage Large-Scale VPCs on Top of Clos Network Architecture
January 7, 2020
Modern Data Centers are based on Clos Network Architecture, which is extremely simple yet unfriendly to applications. It is common to build Software Defined Data Centers on top of it and use VPCs to h …
Likewar: How social media is changing the worldand how the world is changing social media
December 23, 2019
Terrorists live-stream their attacks, Twitter wars sell music albums and produce real-world casualties, and viral misinformation alters not just the result of battles but the very fate of nations. The result is that war, tech, and politics have blurred into a new kind of battle space that plays out on our smartphones. P. W. Singer explains.
Spark adaptive execution: Unleash the power of Spark SQL
December 21, 2019
Spark SQL is widely used, but it still suffers from stability and performance challenges in highly dynamic environments with large-scale data. Haifeng Chen shares a Spark adaptive execution engine built to address these challenges. It can handle task parallelism, join conversion, and data skew dynamically during runtime, guaranteeing the best plan is chosen using runtime statistics.
Security principles for the working architect
December 15, 2019
As our world becomes digital, we all need to be developing systems that are secure by design. The security community has developed a well-understood set of principles used to build secure systems, but they are rarely discussed outside that community. Eoin Woods outlines these fundamental principles of secure software design and explains how to apply them to mainstream systems.