MindsLab is an AI company founded in 2014 that provides speech recognition, text analytics, chatbot, and big data solutions. It raised $5M and saw 1000% revenue growth between 2015-2016, reaching $2.1M in sales in 2016. Its key product, MindsVOC, analyzes customer service interactions using transcription and sentiment analysis to detect risks and improve agent quality. Major customers include LG Electronics, Samsung Insurance, and Samsung Electronics America. The company aims to become the leader in voice of customer solutions in Korea and the US.
MindsLab "Enterprise AI Solution Company"Taejoon Yoo
MindsLab is an AI company founded in 2014 that provides speech recognition, text analytics, chatbots, and big data solutions. Their key product is MindsVOC, a virtual assistant using chatbots to automatically transcribe and summarize customer calls with high speech-to-text accuracy. This helps capture real customer sentiment and reduce false alarms. Major customers include LG Electronics, Samsung Insurance, and Samsung Electronics America. The document outlines MindsLab's solutions, benefits for a global electronics company case study, and future plans to grow in the US market and launch virtual assistant solutions.
MindsLab is an AI company founded in 2014 that provides speech recognition, text analytics, chatbot, and big data solutions. It raised $5M and saw 1000% revenue growth between 2015-2016, reaching $2.1M in sales in 2016. Its key product, MindsVOC, analyzes customer service interactions using transcription and sentiment analysis to detect risks and improve agent quality. Major customers include LG Electronics, Samsung Insurance, and Samsung Electronics America. The company aims to become the leader in voice of customer solutions in Korea and the US.
MindsLab "Enterprise AI Solution Company"Taejoon Yoo
MindsLab is an AI company founded in 2014 that provides speech recognition, text analytics, chatbots, and big data solutions. Their key product is MindsVOC, a virtual assistant using chatbots to automatically transcribe and summarize customer calls with high speech-to-text accuracy. This helps capture real customer sentiment and reduce false alarms. Major customers include LG Electronics, Samsung Insurance, and Samsung Electronics America. The document outlines MindsLab's solutions, benefits for a global electronics company case study, and future plans to grow in the US market and launch virtual assistant solutions.
The document discusses using geo-semantics and hybrid reasoning for developing smart mobile services, focusing on how combining location data, social networks, and semantics can enable new mobile applications and services. It provides examples of modeling geo-data and ontologies for representing location information and describes how semantic queries can be used to retrieve relevant points-of-interest data. The document also outlines some mobile APIs for accessing semantic geo-data from Android and iPhone applications.
The document discusses geo-social semantics and hybrid reasoning for smart mobile services. It covers topics like linked data networks, representing knowledge in different formats, and an example ontology showing relationships between concepts like employees, companies, and business trips. Tony Lee from Saltlux presents on using semantics and hybrid reasoning to power intelligent location-based applications.
The document discusses human-computer collaboration and the challenges it presents. It notes that computers now have vast computational power and memory but also more complex systems that are difficult for unaided humans to manage. It also mentions that much information is now stored in formats like dynamically combined data rather than human-readable text. Infrastructure is needed to provide background knowledge and put information in a machine-understandable form.
Web Scale Reasoning and the LarKC ProjectSaltlux Inc.
The LarKC project aims to build an integrated pluggable platform for large-scale reasoning. It supports parallelization, distribution, and remote execution. The LarKC platform provides a lightweight core that gives standardized interfaces for combining plug-in components, while the real work is done in the plug-ins. There are three types of LarKC users: those building plug-ins, configuring workflows, and using workflows.
The Semantic Technology Business: EuropeSaltlux Inc.
This document summarizes the state of semantic technology and artificial intelligence. It notes that while there has been enormous research, companies applying these technologies are just beginning to emerge. Semantic technology is being used increasingly for shallow semantics like tagging on websites and social networks. Deeper uses involving ontologies and rules are still emerging. The document compares the European focus on enabling corporate and public services versus the US consumer focus. It outlines a potential platform for large-scale semantic computing to enable startups and discusses opportunities in both business and consumer applications.
Learning Emergent Knowledge from Blog PostingsSaltlux Inc.
- The document describes a semantic search system that analyzes social web content like blog postings.
- It converts conventional blog postings into "semantic blogs" by adding semantic tags to topics. This allows emerging relationships between bloggers and topics to be discovered.
- The system uses simple semantics from a large number of blog postings and connections between bloggers and topics. This "simple semantic" approach allows new knowledge to emerge from the connections in contrast to traditional ontologies.
The document discusses using geo-semantics and hybrid reasoning for developing smart mobile services, focusing on how combining location data, social networks, and semantics can enable new mobile applications and services. It provides examples of modeling geo-data and ontologies for representing location information and describes how semantic queries can be used to retrieve relevant points-of-interest data. The document also outlines some mobile APIs for accessing semantic geo-data from Android and iPhone applications.
The document discusses geo-social semantics and hybrid reasoning for smart mobile services. It covers topics like linked data networks, representing knowledge in different formats, and an example ontology showing relationships between concepts like employees, companies, and business trips. Tony Lee from Saltlux presents on using semantics and hybrid reasoning to power intelligent location-based applications.
The document discusses human-computer collaboration and the challenges it presents. It notes that computers now have vast computational power and memory but also more complex systems that are difficult for unaided humans to manage. It also mentions that much information is now stored in formats like dynamically combined data rather than human-readable text. Infrastructure is needed to provide background knowledge and put information in a machine-understandable form.
Web Scale Reasoning and the LarKC ProjectSaltlux Inc.
The LarKC project aims to build an integrated pluggable platform for large-scale reasoning. It supports parallelization, distribution, and remote execution. The LarKC platform provides a lightweight core that gives standardized interfaces for combining plug-in components, while the real work is done in the plug-ins. There are three types of LarKC users: those building plug-ins, configuring workflows, and using workflows.
The Semantic Technology Business: EuropeSaltlux Inc.
This document summarizes the state of semantic technology and artificial intelligence. It notes that while there has been enormous research, companies applying these technologies are just beginning to emerge. Semantic technology is being used increasingly for shallow semantics like tagging on websites and social networks. Deeper uses involving ontologies and rules are still emerging. The document compares the European focus on enabling corporate and public services versus the US consumer focus. It outlines a potential platform for large-scale semantic computing to enable startups and discusses opportunities in both business and consumer applications.
Learning Emergent Knowledge from Blog PostingsSaltlux Inc.
- The document describes a semantic search system that analyzes social web content like blog postings.
- It converts conventional blog postings into "semantic blogs" by adding semantic tags to topics. This allows emerging relationships between bloggers and topics to be discovered.
- The system uses simple semantics from a large number of blog postings and connections between bloggers and topics. This "simple semantic" approach allows new knowledge to emerge from the connections in contrast to traditional ontologies.
8. Webの世界で何が起きてきたか?
2000 2005 2010 2015 2020
Web 1.0 Web 2.0 Web 3.0 Web of Data ??
Information People Big Data Intelligence
ソーシャル
検索 分析 予測
ネットワーク
収集 理解 最適化
7
18. 嗜好性の分析
ユーザの暗黙的な行動履歴の利用
Map Business
Extract Classify Measure Content /
Types to
CDR 分析 Collect CDR Company Business
Preference
Preference based Service Domain
Name Type on Frequency Preference
Classes
Classify Extract Analysis Map values to Content /
URL Collect URL
URL Services
Extract URL
property Preference Service
分析 Access Log properties
Domain from URL values Classes Preference
Extract Classify Indentify Content /
検索ワード Collect
Search Search Target
Map Search Keyword to
Service
分析 Search Log Preference Classes
Keyword Keyword Services Preference
会員カード Extract Classify
Map Business
Measure Content /
Types to
利用分析 Collect CDR Company Business
Preference
Preference based Service Domain
Name Type on Frequency Preference
分析 Classes
暗黙的なユーザ ユーザ個人の
社会的な嗜好性発見
行動履歴の分析 嗜好性の発見
ユーザ行動履歴の分類
明示的なユーザ 個人の嗜好性の 代表的な嗜好性の
行動履歴の分析 グループ化 グループ発見
24. 新技術の分析
80 GB
KMS DB
RESULTS
ANALYSIS (インデックス)
US PAT DB - Top N 100 GB
- 推移分析
- 関係分析 RESULTS DB
5 GB
400 GB
ANALYSIS INDEX
KMS ATT. FILE
PAPERS PAPER DB
XML TECH. DOC DB
PAT. DB
TECH DOCs 10 T
10 GB
23