Big Data LDN 2017: Improving Customer Experience with an AI Bot

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Date: 16th November 2017 Location: AI Lab Theatre Time: 15:50 - 16:20 Speaker: Galiya Warrier / Duncan Maddox Organisation: Microsoft / Keyrus

Data & Analytics

The Microsoft AI platform: Azure+AI
Cloud-powered AI for every developer
Services
Infrastructure
Tools

Conversations are the new platform of habit
Messaging apps experience explosive growth in terms of active users, frequency of use and messaging volume
Source: BI Intelligence, Portio Research

LUIS
Bing
Entity
Maps
Spelling
Computer
Vision
Custom
Vision
Translator
Text
Analytics

Customer Support
Helping users find
information and complete
simple tasks without the
need of human assistance.
Retail
Provide seamless customer
support throughout the
shopping experience
Insurance
Improve customer
acquisition and provide
knowledge to general
questions
Automotive
• Information on vehicles,
inventory levels, incentive
plans, user manuals and answer
general knowledge questions.
Employee Productivity
Increase employee
engagement, simplify common
internal tasks and provide
immediate answers to general
knowledge questions
Common Business Scenarios

1,000,000+ Records
Web
Queries
Chat
Histories
Internal
KBs,
FAQs
Structured and Unstructured Data
Thousands of Conversation Flows

What Mattered Most
“We determined that AI technologies such as Microsoft Cognitive
Services and Bot Framework could be the key to offering our
customers the differentiated and personalized service and
cohesive customer journey we are aiming for.”
Antonia Colin-Jones, Strategic Partnership Program Manager, Dixons Carphone

BotConnector
BotFramework
Customer
Custom App
Message Received
Unknown Intent
Message Response
Intent 1
Business Language
Chat Language Model
Intent 2
Azure
Search
Live Agents
Case Workers
Dashboard
Application
Insights Telemetry
collects bot
effectiveness data
Bot Architecture
DocDB
Product
Catalogue
Web
Job
Catalogue
Files
Computer Vision
(Shelf Label OCR)
Sentiment
Spellcheck
LUIS

Beyond the Architecture
business problems
bot design user experience
personality
usability
do more
complete tasks
 Telemetry = Business Insights

• Microsoft Bot Framework (documentation & patterns)
• https://aka.ms/bot-docs
• Cognitive Service (demo & documentation):
• www.microsoft.com/cognitive
• Sessions recorded at Ignite conference:
• https://aka.ms/ignite17-bots
• Resources on AI @ Microsoft:
• www.microsoft.com/ai
• https://blogs.microsoft.com/ai/
Some resources to get you started…

Conversational AI can help turn a marketer’s dream into a reality. It is here to create a world where brands can strengthen a bond with their buyers and buyers can learn to rely on brands again. It’s a part of a larger shift we’re seeing in the business landscape today. If you’d like help developing your multi-tenant software, contact us. https://bit.ly/2yif7wx #buildingtheaiecosystem, #bigdataecosystem, #artificialintelligence, #futureof bigdataecosystem, #evolutionofbigdataecosystem, #chatbotconversation, #conversation, #chatbotconversationdesign, #chatbottalkaiconversation, #aiconversation, #conversationux, #conversationai, #conversationbot, #howtodesignaconversation Follow Us On - Facebook: http://www.facebook.com/CapitalNumbers Twitter: https://twitter.com/_CNInfotech Pinterest: http://pinterest.com/capitalnumbers/ Linkedin: http://www.linkedin.com/company/capitalnumbers Youtybe: https://www.youtube.com/user/CNInfotech Instagram: https://www.instagram.com/capitalnumbers_com/

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一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单

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benishzehra469

Show drafts volume_up Empowering the Data Analytics Ecosystem: A Laser Focus on Value The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem: 1. Democratize Access, Not Data: Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse. Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources. 2. Foster Collaboration with Clear Roles: Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities. Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together. 3. Leverage Advanced Analytics Strategically: AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis. Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems. 4. Prioritize Data Quality with Automation: Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues. Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors. 5. Cultivate a Data-Driven Mindset: Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making. Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action. Benefits of a Precise Ecosystem: Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency. Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights. Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement. Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation. By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.

Adjusting primitives for graph : SHORT REPORT / NOTES

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Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is Multiply with different modes (map) 1. Performance of sequential execution based vs OpenMP based vector multiply. 2. Comparing various launch configs for CUDA based vector multiply. Sum with different storage types (reduce) 1. Performance of vector element sum using float vs bfloat16 as the storage type. Sum with different modes (reduce) 1. Performance of sequential execution based vs OpenMP based vector element sum. 2. Performance of memcpy vs in-place based CUDA based vector element sum. 3. Comparing various launch configs for CUDA based vector element sum (memcpy). 4. Comparing various launch configs for CUDA based vector element sum (in-place). Sum with in-place strategies of CUDA mode (reduce) 1. Comparing various launch configs for CUDA based vector element sum (in-place).

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As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape. In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity. 🔑 Key findings include: 🔍 Increased frequency and complexity of cyber threats. 🔍 Escalation of state-sponsored and criminally motivated cyber operations. 🔍 Active dark web exchanges of malicious tools and tactics. Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities. This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.

Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

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Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.

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原版定制【Q微信:741003700】《(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书》【Q微信:741003700】成绩单、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【Q微信741003700】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信741003700】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。

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16. Title Section Use Cases

23. Customer Support Helping users find information and complete simple tasks without the need of human assistance. Retail Provide seamless customer support throughout the shopping experience Insurance Improve customer acquisition and provide knowledge to general questions Automotive • Information on vehicles, inventory levels, incentive plans, user manuals and answer general knowledge questions. Employee Productivity Increase employee engagement, simplify common internal tasks and provide immediate answers to general knowledge questions Common Business Scenarios

24. 1,000,000+ Records Web Queries Chat Histories Internal KBs, FAQs Structured and Unstructured Data Thousands of Conversation Flows

25.

26. What Mattered Most “We determined that AI technologies such as Microsoft Cognitive Services and Bot Framework could be the key to offering our customers the differentiated and personalized service and cohesive customer journey we are aiming for.” Antonia Colin-Jones, Strategic Partnership Program Manager, Dixons Carphone

27. BotConnector BotFramework Customer Custom App Message Received Unknown Intent Message Response Intent 1 Business Language Chat Language Model Intent 2 Azure Search Live Agents Case Workers Dashboard Application Insights Telemetry collects bot effectiveness data Bot Architecture DocDB Product Catalogue Web Job Catalogue Files Computer Vision (Shelf Label OCR) Sentiment Spellcheck LUIS

28.

29. Beyond the Architecture business problems bot design user experience personality usability do more complete tasks  Telemetry = Business Insights

30. • Microsoft Bot Framework (documentation & patterns) • https://aka.ms/bot-docs • Cognitive Service (demo & documentation): • www.microsoft.com/cognitive • Sessions recorded at Ignite conference: • https://aka.ms/ignite17-bots • Resources on AI @ Microsoft: • www.microsoft.com/ai • https://blogs.microsoft.com/ai/ Some resources to get you started…

31. Thank you galiyawarrier

Big Data LDN 2017: Improving Customer Experience with an AI Bot

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