Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
The document discusses factors for success and failure in web startups in 2006, noting that while $600 million was invested in "Web 2.0" startups, a single acquisition was for $1.65 billion, and MySpace generates $25 million per month in advertising revenue. It provides case studies of successful startups like MyBlogLog and Amie Street that never raised venture funding. The document concludes with areas of opportunity and attributes of winners like passion and removing friction versus losers who raised too much money or forgot about scaling.
The document discusses factors for success and failure in web startups in 2006, noting that while $600 million was invested in "Web 2.0" startups, a single acquisition was for $1.65 billion, and MySpace generates $25 million per month in advertising revenue. It provides case studies of successful startups like MyBlogLog and Amie Street that never raised venture funding. The document concludes by outlining areas of opportunity for new startups and factors common to both winners and losers, emphasizing the importance of creating buzz for a product that solves real problems.
Larry Page and Sergey Brin founded Google in 1998 after developing their first search engine called "Backrub" as computer science students at Stanford University. Google has grown tremendously over the years to become the world's largest search engine with over 70% of the global search market share. It continues to innovate with new products such as Gmail, Google Maps, Android, and more. Major competitors include Microsoft, Apple, Facebook, and Amazon as Google seeks to maintain its dominance across search, online advertising, mobile, and other industries.
The document discusses factors for success and failure in web startups in 2006, noting that while $600 million was invested in "Web 2.0" startups, a single acquisition was for $1.65 billion, and MySpace generates $25 million per month in advertising revenue. It provides case studies of successful startups like MyBlogLog and Amie Street that never raised venture funding. The document concludes with areas of opportunity and attributes of winners like passion and removing friction versus losers who raised too much money or forgot about scaling.
The document discusses factors for success and failure in web startups in 2006, noting that while $600 million was invested in "Web 2.0" startups, a single acquisition was for $1.65 billion, and MySpace generates $25 million per month in advertising revenue. It provides case studies of successful startups like MyBlogLog and Amie Street that never raised venture funding. The document concludes by outlining areas of opportunity for new startups and factors common to both winners and losers, emphasizing the importance of creating buzz for a product that solves real problems.
Larry Page and Sergey Brin founded Google in 1998 after developing their first search engine called "Backrub" as computer science students at Stanford University. Google has grown tremendously over the years to become the world's largest search engine with over 70% of the global search market share. It continues to innovate with new products such as Gmail, Google Maps, Android, and more. Major competitors include Microsoft, Apple, Facebook, and Amazon as Google seeks to maintain its dominance across search, online advertising, mobile, and other industries.
This document discusses the history and evolution of the internet and web technologies. It covers the development of early search engines like Google, the rise of user-generated content and social media through Web 2.0, and emerging technologies like mobile applications and cloud computing. The key themes are the central role of users in driving innovation, the emphasis on open standards and sharing, and the ongoing shift to more collaborative and mobile experiences online.
Yahoo is the second largest email provider worldwide with 280 million customers. In the US, it has a 21% market share of the online search market, second to Google's 63%. In 2008, Microsoft offered to buy Yahoo for $44.6 billion but later withdrew its offer, causing Yahoo's value to drop to $17 billion. Yahoo has since cut costs, changed leadership, and partnered with AOL to strengthen its display advertising business.
Google was founded in 1998 by Larry Page and Sergey Brin while they were PhD students at Stanford University. It has grown to be a dominant search engine and technology company with over 19,000 employees. Google's main source of revenue comes from advertising but it also develops many free services and products such as Gmail, Google Maps, and Android.
The document discusses how Google and other large aggregators are disrupting the traditional media industry through "creative destruction". They are hollowing out media businesses by capturing the majority of online advertising revenues. This process undermines the business models that supported professional media creation. However, the document argues that media companies could embrace strategies like open platforms, focusing on niche interests, and micropayments to engage global online communities. This may allow them to leverage new revenue streams and better compete in the changing media landscape.
Google was founded in 1996 by Larry Page and Sergey Brin while they were PhD students at Stanford University. They created Google as a research project to organize the world's information and make it universally accessible. Google became the world's largest search engine in 2000 with its introduction of a billion-page index. It has since expanded into many other products and services through acquisitions and innovation, including Gmail, Google Maps, YouTube, and Android. Google's mission is to organize the world's information and make it universally accessible and useful.
30-12 Case 3032ChallengesThe privately ownedAlibaba .docxgilbertkpeters11344
30-12 Case 30
32
Challenges
The privately ownedAlibaba Group was one of China's biggest Internet companies special-
izing in electronic commerce. In 2005,Yahoo invested $1 billion inAlibaba for a 40 percent
equity share. It also handed over the responsibility of operating its Yahoo! China Web site
to Alibaba. The two companies began negotiations in 2010 on the future of Yahoo's invest-
ment. Softbank, a Japanese Internet and telecommunications company, had also invested
in Alibaba. In addition, Softbank had a 65 percent stake in Yahoo ! Japan, with Yahoo own-
ing the rest. Alibaba and Softbank wanted to buy out Yahoo's stake in Alibaba as well as
its stake in Yahoo! Japan. While Yahoo agreed to the Alibaba divestment (it had made no
decision on the Yahool Japan issue), the bone of contention was in structuring the deal to
minimize Yahoo's tax bill on the capital gains. In late August 2)L2,Yahoo announced that
it would sell half its Alibaba investment immediately for $7.6 billion (resulting in after-tax
cash of $4.3 billion) and the rest when Alibaba was expected to go public in 2015.24 The
key challenge to Mayer in this area was how to use the proceeds of the Alibaba investment.
Early on, she had indicated that she would use the proceeds to make critical acquisitions,
but pressure from shareholders had caused her to back off from this position.
In addition to the Alibaba issue, Mayer faced the main strategic challenge of establish-
ing Yahoo's identity as a company. While it had started out as a technology firm, its princi-
pal revenue source was currently advertising. However, many Yahoo insiders still regarded
themselves as working for a technology company that had a presence in media. Daniel
Loeb's insistence that Yahoo's best bet was to find a way to monetize its visitor traffic in-
dicated that he wanted Yahoo to morph into a media company. Given Mayer's technology
background and experience at Google, would this morphing play to her strengths? The
growing markets were Asia and Africa, regions where Yahoo had only a weak presence.
Should Yahoo acquire companies to benefit from growth in these markets? In addition,
the Internet was moving to a mobile platform where Yahoo had only a marginal presence.
White the mobile platform was showing tremendous growth (albeit from a small base), it
was not clear whether it would support traditional revenue sources. Management faced
these issues prior to meeting with the company's board in September.
,aCharles Arthur, "Yahoo Sells Chunk of Alibaba Stake," The Guardian, September 19,2012, www.guardian
.co.uk/technologyt20l2lsepllglyahoo-efinance, accessed September 24,2012.
33
Yahoo!Inc.30-11
EXHIBIT 6 Yahoo! [nc. Selected Stock price Data (g at
close of market)
Date Prire
19.18
11.73
15.01
16.12
15.47
15.74
Source: Yahoo! Finance, http://finance.yahoo.com_/, accessed
May 2,2012.
Enter Marissa Mayer
Early Actions
Prior to joining Yahoo, Marissa Mayer had a 13-year car.
Yaro Starak is a professional blogger who has turned blogging into his full-time career and lifestyle. He started out running a hobby website about a card game as a student in the late 1990s. This sparked his interest in building websites and online businesses.
He later launched a proofreading business called BetterEdits.com while still in university. This grew to the point where he was making a full-time income with a small team. In 2004, he started blogging about running his proofreading business but found it was a boring topic. He then began blogging more generally about the entrepreneurial journey and lifestyle, which became his flagship website Entrepreneurs-Journey.com.
Over time
This document discusses business models for social networks and communities as well as video. For social networks, it describes how sites like MySpace and Facebook have become major traffic drivers. It discusses challenges with monetizing through advertising on social networks and alternatives like virtual goods. Examples like Fotolog and Glam Media's business models are provided. For video, it discusses the engagement of users and opportunities for monetization through ads, targeting, and analytics.
This document provides an overview of Google and Yahoo, comparing their histories, products, and business models. It notes that while Yahoo started as a directory/portal, Google emerged as a dominant search engine using its PageRank algorithm. The document also discusses the companies' founders and key executives. It analyzes differences in their approaches to search technology and advertising, noting Google's shift to using ads alongside organic search results.
The document discusses various topics including silent running, crying in the rain, interested internet services, analogia, star estimator, Steve Jobs, Bill Gates, Mr. Fastfinger, ultimate shred guitar, lesson, jam, just ask Anna, and IKEA Help Center. It also mentions continuing to next pages.
Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
The document discusses concepts related to distributed systems and web services architectures. It covers topics like remote procedure calls (RPC), stubs/skeletons, and standards like SOAP, WSDL, and UDDI. Examples of RPC implementations include Sun RPC, DCE RPC, CORBA, and Java RMI. The document also references concepts from the Matrix movies like the Oracle, the red/blue pills, and characters like Morpheus, Cypher, and Trinity.
The document discusses test-driven development (TDD) and JUnit testing. It provides an overview of TDD including writing tests first before code, the simple cycle of writing a test, making it compile/run, and repeating. It also covers how to write tests in JUnit, including using assertions and the basic structure of JUnit test classes/methods. An example is given of testing a string concatenation method using TDD and JUnit.
This document discusses the history and evolution of the internet and web technologies. It covers the development of early search engines like Google, the rise of user-generated content and social media through Web 2.0, and emerging technologies like mobile applications and cloud computing. The key themes are the central role of users in driving innovation, the emphasis on open standards and sharing, and the ongoing shift to more collaborative and mobile experiences online.
Yahoo is the second largest email provider worldwide with 280 million customers. In the US, it has a 21% market share of the online search market, second to Google's 63%. In 2008, Microsoft offered to buy Yahoo for $44.6 billion but later withdrew its offer, causing Yahoo's value to drop to $17 billion. Yahoo has since cut costs, changed leadership, and partnered with AOL to strengthen its display advertising business.
Google was founded in 1998 by Larry Page and Sergey Brin while they were PhD students at Stanford University. It has grown to be a dominant search engine and technology company with over 19,000 employees. Google's main source of revenue comes from advertising but it also develops many free services and products such as Gmail, Google Maps, and Android.
The document discusses how Google and other large aggregators are disrupting the traditional media industry through "creative destruction". They are hollowing out media businesses by capturing the majority of online advertising revenues. This process undermines the business models that supported professional media creation. However, the document argues that media companies could embrace strategies like open platforms, focusing on niche interests, and micropayments to engage global online communities. This may allow them to leverage new revenue streams and better compete in the changing media landscape.
Google was founded in 1996 by Larry Page and Sergey Brin while they were PhD students at Stanford University. They created Google as a research project to organize the world's information and make it universally accessible. Google became the world's largest search engine in 2000 with its introduction of a billion-page index. It has since expanded into many other products and services through acquisitions and innovation, including Gmail, Google Maps, YouTube, and Android. Google's mission is to organize the world's information and make it universally accessible and useful.
30-12 Case 3032ChallengesThe privately ownedAlibaba .docxgilbertkpeters11344
30-12 Case 30
32
Challenges
The privately ownedAlibaba Group was one of China's biggest Internet companies special-
izing in electronic commerce. In 2005,Yahoo invested $1 billion inAlibaba for a 40 percent
equity share. It also handed over the responsibility of operating its Yahoo! China Web site
to Alibaba. The two companies began negotiations in 2010 on the future of Yahoo's invest-
ment. Softbank, a Japanese Internet and telecommunications company, had also invested
in Alibaba. In addition, Softbank had a 65 percent stake in Yahoo ! Japan, with Yahoo own-
ing the rest. Alibaba and Softbank wanted to buy out Yahoo's stake in Alibaba as well as
its stake in Yahoo! Japan. While Yahoo agreed to the Alibaba divestment (it had made no
decision on the Yahool Japan issue), the bone of contention was in structuring the deal to
minimize Yahoo's tax bill on the capital gains. In late August 2)L2,Yahoo announced that
it would sell half its Alibaba investment immediately for $7.6 billion (resulting in after-tax
cash of $4.3 billion) and the rest when Alibaba was expected to go public in 2015.24 The
key challenge to Mayer in this area was how to use the proceeds of the Alibaba investment.
Early on, she had indicated that she would use the proceeds to make critical acquisitions,
but pressure from shareholders had caused her to back off from this position.
In addition to the Alibaba issue, Mayer faced the main strategic challenge of establish-
ing Yahoo's identity as a company. While it had started out as a technology firm, its princi-
pal revenue source was currently advertising. However, many Yahoo insiders still regarded
themselves as working for a technology company that had a presence in media. Daniel
Loeb's insistence that Yahoo's best bet was to find a way to monetize its visitor traffic in-
dicated that he wanted Yahoo to morph into a media company. Given Mayer's technology
background and experience at Google, would this morphing play to her strengths? The
growing markets were Asia and Africa, regions where Yahoo had only a weak presence.
Should Yahoo acquire companies to benefit from growth in these markets? In addition,
the Internet was moving to a mobile platform where Yahoo had only a marginal presence.
White the mobile platform was showing tremendous growth (albeit from a small base), it
was not clear whether it would support traditional revenue sources. Management faced
these issues prior to meeting with the company's board in September.
,aCharles Arthur, "Yahoo Sells Chunk of Alibaba Stake," The Guardian, September 19,2012, www.guardian
.co.uk/technologyt20l2lsepllglyahoo-efinance, accessed September 24,2012.
33
Yahoo!Inc.30-11
EXHIBIT 6 Yahoo! [nc. Selected Stock price Data (g at
close of market)
Date Prire
19.18
11.73
15.01
16.12
15.47
15.74
Source: Yahoo! Finance, http://finance.yahoo.com_/, accessed
May 2,2012.
Enter Marissa Mayer
Early Actions
Prior to joining Yahoo, Marissa Mayer had a 13-year car.
Yaro Starak is a professional blogger who has turned blogging into his full-time career and lifestyle. He started out running a hobby website about a card game as a student in the late 1990s. This sparked his interest in building websites and online businesses.
He later launched a proofreading business called BetterEdits.com while still in university. This grew to the point where he was making a full-time income with a small team. In 2004, he started blogging about running his proofreading business but found it was a boring topic. He then began blogging more generally about the entrepreneurial journey and lifestyle, which became his flagship website Entrepreneurs-Journey.com.
Over time
This document discusses business models for social networks and communities as well as video. For social networks, it describes how sites like MySpace and Facebook have become major traffic drivers. It discusses challenges with monetizing through advertising on social networks and alternatives like virtual goods. Examples like Fotolog and Glam Media's business models are provided. For video, it discusses the engagement of users and opportunities for monetization through ads, targeting, and analytics.
This document provides an overview of Google and Yahoo, comparing their histories, products, and business models. It notes that while Yahoo started as a directory/portal, Google emerged as a dominant search engine using its PageRank algorithm. The document also discusses the companies' founders and key executives. It analyzes differences in their approaches to search technology and advertising, noting Google's shift to using ads alongside organic search results.
The document discusses various topics including silent running, crying in the rain, interested internet services, analogia, star estimator, Steve Jobs, Bill Gates, Mr. Fastfinger, ultimate shred guitar, lesson, jam, just ask Anna, and IKEA Help Center. It also mentions continuing to next pages.
Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
Talk about Google and Yahoo! , Microsoft. also Search Engine.
This Materials For Study meeting series of our department is latter part. (First Part is the " Revolutions".)
The document discusses concepts related to distributed systems and web services architectures. It covers topics like remote procedure calls (RPC), stubs/skeletons, and standards like SOAP, WSDL, and UDDI. Examples of RPC implementations include Sun RPC, DCE RPC, CORBA, and Java RMI. The document also references concepts from the Matrix movies like the Oracle, the red/blue pills, and characters like Morpheus, Cypher, and Trinity.
The document discusses test-driven development (TDD) and JUnit testing. It provides an overview of TDD including writing tests first before code, the simple cycle of writing a test, making it compile/run, and repeating. It also covers how to write tests in JUnit, including using assertions and the basic structure of JUnit test classes/methods. An example is given of testing a string concatenation method using TDD and JUnit.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
13. Shop Amazon Grocery
Today
• Amazon.com diversifies further into
grocery
– Amazon Grocery, which focuses on non-
perishable grocery products, offers as wide
a range as possible traded on an everyday
low price (EDLP) strategy. In addition to
standard grocery lines, Amazon Grocery
also covers the natural and organic
categories, both of which are rapidly
growing categories in the US.
– Jun 14, 2006
14. Yahoo! + eBay == yaBay!
• Yahoo, eBay team up on e-
commerce
– Yahoo and eBay are teaming up as
the Internet search and commerce
markets grow even more competitive.
– May 25, 2006
15. GBuy
• Google tests Web buying system
• eBay PayPal vs. Google GBuy:
Skype to 'send money'
• Google GBuy Launch Later This
Month To Challenge PayPal?
• Google's Gbuy nears launch
17. MySpace, Google Likely
Partners
• Of the big three, Google is the
most likely partner because it is
the least likely to directly compete
with MySpace with its own social
network. Yahoo and MSN
relationships would be messy as
both will likely offer competing
services.
– Jun 14, 2006
18. Google Admits it is Evil
– This week, Google cofounder Sergey
Brin admitted that his company
compromised its quot;don't be evilquot;
mantra when it bowed to pressure
from the Chinese government and
censored the Chinese version of its
Web site.
– June 08, 2006
19. Yahoo gives One.org a
Web 2.0 upgrade
– As part of an employee volunteer
program, Yahoo has upgraded the
Web site of a prominent charity.
– June 16, 2006
21. Hot in this Summer
• YouTube
– Video Portal
– http://www.youtube.com/
• MySpace
– SNS
– http://www.myspace.com/
• Facebook
– SNS for College
– http://www.facebook.com/
22. Buzz
• Web 2.0
• SaaS
– Software As A Service
• Long Tail
• Mash Up
• CGM
– Consumer Generated Media
• SOA, SOI, SOC, ROI, TCO, …
24. Record than Memory
• Sadaharu Oh, Shigeo Nagashima.
– 長島茂男より王貞治。
• Life is Short.
• Everyone wants to leave the proof
which existed.
• Everyone can access any
information freely.