Our Alexa Skill provides passive, personal updates on individual stock and portfolio performance for casual investors. It analyzes sentiment from news headlines, though sentiment can sometimes be derived without financial impact. Feedback notes the potential for learning about stocks, as well as the convenience of not needing to constantly check for updates. Going forward, the developers plan to improve sentiment analysis through data preprocessing, increase testing to address website bugs, and add new queries for single stock info and full portfolio metrics.
How big data and machine learning can become a powerful and easy tool for ecommerce analytics ? By using Big Query, SQL and ML.
Here at MicroHub we use Google Cloud to build price effective and high performance cloud solutions.
Writing User Stories for an Amazon Alexa appTodd Kovalsky
Writing user stories for an Alexa app is different than the agile design driven process. It's time to ditch the design crew and start working on your movie script.
In this quickstart manual, product managers can learn the basic outline they should consider when writing user stories for a development team.
A 5-minute blitz presentation from the February 2011 Columbus Web Analytics Wednesday. This was a comparison of the major web analytics platforms -- Google Analytics, Adobe Omniture Sitecatalyst, Webtrends, and Coremetrics. The comparison was limited to the base tools -- not the various add-ons available.
The Analytics Stack Guidebook (Holistics)Truong Bomi
Chapter 1: High-level Overview of an Analytics Setup
Chapter 2: Centralizing Data
Chapter 3: Data Modeling for Analytics
Chapter 4: Using Data
+++
Trích lời Huy - tác giả cuốn sách, co-founder & CTO của Holistics
+++
"Làm thế nào để thiết kế hệ thống BI stack phù hợp cho công ty mình?"
Có bao giờ bạn được công ty giao nhiệm vụ set up hệ thống BI/analytics stack cho công ty, rồi đến khi lên mạng google thì tá hoả vì mỗi bài viết, mỗi người bạn khác nhau lại khuyên bạn nên sử dụng một bộ công cụ/công nghệ khác nhau? ETL hay ELT, Hadoop hay BigQuery, Data Warehouse hay Data Lake, ...
Rồi bạn thắc mắc: Thiết kế một hệ thống analytics stack như thế nào là phù hợp với nhu cầu hiện tại của công ty mình? Làm thế nào để bắt đầu nhanh nhưng vẫn có thể scale được (mà không phải đập đi xây lại) khi nhu cầu dữ liệu tăng cao?
Thay vì chín người mười ý, bạn ước giá mà có 1 tấm bản đồ (map) có thể giúp bạn định vị được trong thế giới BI/analytics phức tạp này. Một tấm bản đồ cho bạn thấy các thành phần khác nhau của mỗi hệ thống BI là gì, lắp ráp nó lại như thế nào, và tradeoff giữa các cách tiếp cận khác nhau là sao.
Well, sau 2 tháng trời cực khổ thì team mình đã vẽ ra tấm bản đồ đó trong hình dạng một.. cuốn sách:
"The Analytics Setup Guidebook: How to build scalable analytics & BI stacks in modern cloud era."
Cuốn sách là một crash-course để bạn có thể trở thành một "part-time data architect", giúp bạn hiểu được rõ hơn về landscape analytics phức tạp hiện nay.
Sách giải thích high-level overview của một hệ thống analytics ntn, các thành phần tương tác với nhau ra sao, và đi sâu vào đủ chi tiết của những thành phần cũng như best practices cuả nó.
Cuốn sách được viết dành cho các bạn hơi technical được nhận nhiệm vụ phụ trách hệ thống analytics của công ty mình. Bạn có thể là một data analyst đang làm BI, software engineer được kêu qua hỗ trợ làm data engineering, hoặc đơn giản là 1 Product Manager đang thắc mắc sao quy trình data công ty mình chậm quá...
Cuốn sách cũng có những phần chia sẻ nâng cao như Data Modeling, BI evolution phù hợp với các bạn đã có kinh nghiệm làm BI lâu đời.
How big data and machine learning can become a powerful and easy tool for ecommerce analytics ? By using Big Query, SQL and ML.
Here at MicroHub we use Google Cloud to build price effective and high performance cloud solutions.
Writing User Stories for an Amazon Alexa appTodd Kovalsky
Writing user stories for an Alexa app is different than the agile design driven process. It's time to ditch the design crew and start working on your movie script.
In this quickstart manual, product managers can learn the basic outline they should consider when writing user stories for a development team.
A 5-minute blitz presentation from the February 2011 Columbus Web Analytics Wednesday. This was a comparison of the major web analytics platforms -- Google Analytics, Adobe Omniture Sitecatalyst, Webtrends, and Coremetrics. The comparison was limited to the base tools -- not the various add-ons available.
The Analytics Stack Guidebook (Holistics)Truong Bomi
Chapter 1: High-level Overview of an Analytics Setup
Chapter 2: Centralizing Data
Chapter 3: Data Modeling for Analytics
Chapter 4: Using Data
+++
Trích lời Huy - tác giả cuốn sách, co-founder & CTO của Holistics
+++
"Làm thế nào để thiết kế hệ thống BI stack phù hợp cho công ty mình?"
Có bao giờ bạn được công ty giao nhiệm vụ set up hệ thống BI/analytics stack cho công ty, rồi đến khi lên mạng google thì tá hoả vì mỗi bài viết, mỗi người bạn khác nhau lại khuyên bạn nên sử dụng một bộ công cụ/công nghệ khác nhau? ETL hay ELT, Hadoop hay BigQuery, Data Warehouse hay Data Lake, ...
Rồi bạn thắc mắc: Thiết kế một hệ thống analytics stack như thế nào là phù hợp với nhu cầu hiện tại của công ty mình? Làm thế nào để bắt đầu nhanh nhưng vẫn có thể scale được (mà không phải đập đi xây lại) khi nhu cầu dữ liệu tăng cao?
Thay vì chín người mười ý, bạn ước giá mà có 1 tấm bản đồ (map) có thể giúp bạn định vị được trong thế giới BI/analytics phức tạp này. Một tấm bản đồ cho bạn thấy các thành phần khác nhau của mỗi hệ thống BI là gì, lắp ráp nó lại như thế nào, và tradeoff giữa các cách tiếp cận khác nhau là sao.
Well, sau 2 tháng trời cực khổ thì team mình đã vẽ ra tấm bản đồ đó trong hình dạng một.. cuốn sách:
"The Analytics Setup Guidebook: How to build scalable analytics & BI stacks in modern cloud era."
Cuốn sách là một crash-course để bạn có thể trở thành một "part-time data architect", giúp bạn hiểu được rõ hơn về landscape analytics phức tạp hiện nay.
Sách giải thích high-level overview của một hệ thống analytics ntn, các thành phần tương tác với nhau ra sao, và đi sâu vào đủ chi tiết của những thành phần cũng như best practices cuả nó.
Cuốn sách được viết dành cho các bạn hơi technical được nhận nhiệm vụ phụ trách hệ thống analytics của công ty mình. Bạn có thể là một data analyst đang làm BI, software engineer được kêu qua hỗ trợ làm data engineering, hoặc đơn giản là 1 Product Manager đang thắc mắc sao quy trình data công ty mình chậm quá...
Cuốn sách cũng có những phần chia sẻ nâng cao như Data Modeling, BI evolution phù hợp với các bạn đã có kinh nghiệm làm BI lâu đời.
Machine Learning is a powerful statistical tool to help predict the probability that a prospect is a good candidate for your product or service. This guide is meant as an introduction to help you and your team know how machine learning may be useful to your organization.
Artificial Intelligence in Marketing with Jim SterneStukent Inc.
There's no escaping Artificial Intelligence. It's in the news, in the movies, and in the boardroom. It's time to learn how Artificial Intelligence can be put to use in the marketing department. As this new technology becomes more prevalent, you'll need to understand it, embrace it and make the most of it.
Listening, Learning and Driving Action, Jennifer SacksCzechDreamin
As part of the Salesforce Customer & Market Insights team, Jennifer focuses on amplifying insights that drive product priorities, marketing collateral and go-to-market strategy. She is also responsible for the Salesforce ideation platform, the IdeaExchange, which has delivered more than 2000+ customer-driven ideas to the Salesforce roadmap
An overview of the quantitative and qualitative data provided by live chat, and how to measure the sales, marketing, and customer support ROI of a chat widget.
Using Machine Learning on AWS for Continuous Sentiment Analysis from Labeling...Amazon Web Services
by Zignal Labs
Today, machine learning solves a range of everyday business challenges. Companies are leveraging machine learning to understand how their brands are perceived in the marketplace across key stakeholder segments. How does the brand resonate with customers and the media? What product feedback and enhancements can be learned?
By harnessing the power of machine learning, Zignal monitors and analyzes – in real-time – brand conversations across social, broadcast, digital and traditional media channels. In this session, learn how Zignal leverages Amazon SageMaker, Amazon Mechanical Turk, AWS Code Pipeline and AWS Lambda to accurately measure the brand health of major enterprises such as NVIDIA and Airbnb. Zignal will dive deep into how Amazon SageMaker and these services work together on machine learning models in a real-time media environment.
#ATAGTR2021 Presentation : "Use of AI and ML in Performance Testing" by Adolf...Agile Testing Alliance
Interactive Session on "Use of AI and ML in Performance Testing" by Adolf Patel Performance Test Architect Cognizant at #ATAGTR2021.
#ATAGTR2021 was the 6th Edition of Global Testing Retreat.
The video recording of the session is now available on the following link: https://www.youtube.com/watch?v=ajyPSmmswpM
To know more about #ATAGTR2021, please visit:https://gtr.agiletestingalliance.org/
apidays LIVE Jakarta - Data Reporting and Analytics with API's by Tarush Agga...apidays
apidays LIVE Jakarta 2021 - Accelerating Digitisation
February 24, 2021
Data Reporting and Analytics with API's
Tarush Aggarwal, CEO & Founder at 5xData
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Elad Rosenheim
This is my talk given at eXelate's "big data eXposed 2015" event in Tel-Aviv.
It touches the common problem of trying to optimize websites for better conversion rates, and covers the range of solutions - starting at classic A/B testing (unsuitable for rapidly changing content), going through Multi-Arm Bandits and finally arriving at Contextual Bandits - online machine learning algorithms allowing for true personalization in real-time.
Webinar - AI Powered Recommendation Engine for BusinessesJK Tech
Learn about how an AI solution can be developed at minimal cost and help you reap maximum value while adding scalability, analytics, speed and efficiency to the solution, Aquire the ways of architecting your transition into a family of Artificial Intelligence.
This was part of my inaugural lecture of Summer Internship on Machine Learning at NMAM Institute of Technology, Nitte on 7th June, 2018. A lot more than what was on this presentation was discussed. We spoke on the ethics of choices we make as developers, socio-cultural impact of AI and ML and the political repercussions of deploying ML and AI.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Machine Learning is a powerful statistical tool to help predict the probability that a prospect is a good candidate for your product or service. This guide is meant as an introduction to help you and your team know how machine learning may be useful to your organization.
Artificial Intelligence in Marketing with Jim SterneStukent Inc.
There's no escaping Artificial Intelligence. It's in the news, in the movies, and in the boardroom. It's time to learn how Artificial Intelligence can be put to use in the marketing department. As this new technology becomes more prevalent, you'll need to understand it, embrace it and make the most of it.
Listening, Learning and Driving Action, Jennifer SacksCzechDreamin
As part of the Salesforce Customer & Market Insights team, Jennifer focuses on amplifying insights that drive product priorities, marketing collateral and go-to-market strategy. She is also responsible for the Salesforce ideation platform, the IdeaExchange, which has delivered more than 2000+ customer-driven ideas to the Salesforce roadmap
An overview of the quantitative and qualitative data provided by live chat, and how to measure the sales, marketing, and customer support ROI of a chat widget.
Using Machine Learning on AWS for Continuous Sentiment Analysis from Labeling...Amazon Web Services
by Zignal Labs
Today, machine learning solves a range of everyday business challenges. Companies are leveraging machine learning to understand how their brands are perceived in the marketplace across key stakeholder segments. How does the brand resonate with customers and the media? What product feedback and enhancements can be learned?
By harnessing the power of machine learning, Zignal monitors and analyzes – in real-time – brand conversations across social, broadcast, digital and traditional media channels. In this session, learn how Zignal leverages Amazon SageMaker, Amazon Mechanical Turk, AWS Code Pipeline and AWS Lambda to accurately measure the brand health of major enterprises such as NVIDIA and Airbnb. Zignal will dive deep into how Amazon SageMaker and these services work together on machine learning models in a real-time media environment.
#ATAGTR2021 Presentation : "Use of AI and ML in Performance Testing" by Adolf...Agile Testing Alliance
Interactive Session on "Use of AI and ML in Performance Testing" by Adolf Patel Performance Test Architect Cognizant at #ATAGTR2021.
#ATAGTR2021 was the 6th Edition of Global Testing Retreat.
The video recording of the session is now available on the following link: https://www.youtube.com/watch?v=ajyPSmmswpM
To know more about #ATAGTR2021, please visit:https://gtr.agiletestingalliance.org/
apidays LIVE Jakarta - Data Reporting and Analytics with API's by Tarush Agga...apidays
apidays LIVE Jakarta 2021 - Accelerating Digitisation
February 24, 2021
Data Reporting and Analytics with API's
Tarush Aggarwal, CEO & Founder at 5xData
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Elad Rosenheim
This is my talk given at eXelate's "big data eXposed 2015" event in Tel-Aviv.
It touches the common problem of trying to optimize websites for better conversion rates, and covers the range of solutions - starting at classic A/B testing (unsuitable for rapidly changing content), going through Multi-Arm Bandits and finally arriving at Contextual Bandits - online machine learning algorithms allowing for true personalization in real-time.
Webinar - AI Powered Recommendation Engine for BusinessesJK Tech
Learn about how an AI solution can be developed at minimal cost and help you reap maximum value while adding scalability, analytics, speed and efficiency to the solution, Aquire the ways of architecting your transition into a family of Artificial Intelligence.
This was part of my inaugural lecture of Summer Internship on Machine Learning at NMAM Institute of Technology, Nitte on 7th June, 2018. A lot more than what was on this presentation was discussed. We spoke on the ethics of choices we make as developers, socio-cultural impact of AI and ML and the political repercussions of deploying ML and AI.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. For casual investors,
Who are dissatisfied with current stock performance apps,
Our Alexa Skill is stock performance skill,
That provides passive, personal updates regarding portfolio performance,
Unlike ‘Stock Exchange Alexa Skill’,
We provide information regarding individual stock performance, portfolio
performance, and sentiment.
4. Data Collection
“I like the idea behind the
sentiment analysis, but it
seems to derive sentiment
from headlines sometimes
without financial impact”
– Bhairav Mehta
“I don’t really invest, but I
want to.This would be a good
way to start exploring that
and learning more about
stocks.”
– Nirmal Patel
“I can’t see myself checking
sentiment super often, since I
mostly own funds, but I like
that if I don’t use it, it doesn’t
really bother me”
– Max Gleit
5. Going Forward
Shortcoming
Solution
Sentiment inaccuracies Preprocess training/prediction data.
(i.e. bag of words, headline
weighting)
Website bugs Increased testing and software
fixes
Long Alexa Response Single Stock Query
Full Portfolio Performance Metric New Alexa Query
6. Going Forward
Preprocess the data...
Morgan Stanley:Amazon could be a $1 trillion company within a year
Morgan Stanley Amazon 1 trillion year
