Google's strategic move into selling own branded Mobile phones is another step in the merging of "Software plus Hardware" that Apple, Microsoft, Amazon and recently Facebook have realized at the making of the "Internet of Things" Era. This is the critical issue of not just providing the software and operating system but increasing the value in the devices that become the Interface to the Customer: the smart phone, the smart tablet/laptop of Microsoft Surface, the Smart Speaker of Amazon Echo and Alexa, and the Facebook Oculus Rift and Microsoft Hololens that are the new foundations of Natural Language speech recognition services and the VR Virtual Reality and AR Augmented Reality breaking now and into 2017 and onward. Google's long-term market is changing, the advertising revenue from search engines while still strong is now seeing new ways to search via speech or Virtual image recognition and virtual interaction Google has been late to realizing perhaps the shift to software hardware is where the Internet of Things may be shaping the market with the Connected Home, Connected Car and Connected Work through these devices. It's all about "market marking" beyond just the big cloud data centers and big data analytics to how to build out the edge of the cloud network with all these potentially billions of connected sensors and devices. If the Mobile phone is becoming the "remote control to this world" and platforms the "fabric of social networks and connected experiences" then Google like others is rushing to get into this space with stronger software and hardware offerings
Essential Skills/ Characteristics: • Highly skilled with SQL and writing queries • Expert in data management principles and data normalization • Must be able to recognize patterns in data and remove "noise" from "insights" • Experience in developing reports and charts to depict "data story" • Exceptional excel and pivot table mastery • Exposure to data modeling and understanding of predictive analysis • Ability to propose improvements to existing system/data base/data structures • Keen ability to articulate data concepts in lamens • Ability to collaborate with remote teams • Extensive experience with data analysis • Experience with ETL tools Winning Ways • Focus on the Customer: Know your customers well; add value with a sense of urgency.
This short paper is describing a demonstrator that is complementing the paper "Towards Cross-Media Feature Extraction" in these proceedings. The demo is exemplifying the use of textual resources, out of which semantic information can be extracted, for supporting the semantic annotation and indexing of associated video material in the soccer domain. Entities and events extracted from textual data are marked-up with semantic classes derived from an ontology modeling the soccer domain. We show further how extracted Audio-Video features by video analysis can be taken into account for additional annotation of specific soccer event types, and how those different types of annotation can be combined.
The impact of fake news on the recent election has focused public attention on this multi-tentacled and growing problem. Vast swaths of the population fall prey to such misinformation, while others struggle to discern unbiased truth from the morass of lies and distortions that surrounds us. Experts recommend that we to follow basic principles of information hygiene to separate fake from real, including checking sources, looking for bad grammar and typos, and seeking out corroborating information. And top of the list: never believe anything you read on . However, none of these techniques is particularly effective.