Drew Dillon gave a presentation on running a data-driven product organization. He discussed collecting data on key metrics like user growth and retention. Insights from data can show what areas need improvement and whether experiments worked. Dashboards and reports help visualize trends and funnels. Multivariate testing allows testing different features to see what improves metrics. Machine learning can power recommendations and natural language processing. While data provides insights, intuition is also important, and not everything can be measured quantitatively.
Ad Monetization Products with SoundCloud's Product ManagerProduct School
JoriBell, Product Manager at SoundCloud, talked about her experiences bringing monetization products to SoundCloud and how to introduce seemingly "questionable" product features to a larger organization. In her talk she focused on soft skills related to stakeholder management and communications as well as hard skills to highlight processes and tools that aid in gaining support from a broader, international company like SoundCloud.
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
Test & Learn: The Alchemy & Science of Product Metrics - Choosing Metrics Tha...Optimizely
Quantitative measurement is the key to scaling businesses, processes, and products and making them better. It sounds easy: just pick a number, and improve it. It's not.
Choosing a metric is an exploration of a many-dimensional space with no map and no guide. Until now. This talk will teach you the science of choosing metrics that will guide you to building a better product. When you attend this webinar, you will:
Learn how applying data is as much about questions as it is about answers
Discover the trade-offs between different metrics
Understand systematic ways to measure your product funnel
Learn how to isolate the most important metrics to maximize your product impact
How to be a Good Machine Learning PM by Google Product ManagerProduct School
In this presentation you will learn:
-Machine Learning definition and the different types of problems it can solve
-Framework to decide if your specific problem could or should be solved with Machine Learning
-The role that a Product Manager plays in each part of the Machine Learning lifecycle
Ad Monetization Products with SoundCloud's Product ManagerProduct School
JoriBell, Product Manager at SoundCloud, talked about her experiences bringing monetization products to SoundCloud and how to introduce seemingly "questionable" product features to a larger organization. In her talk she focused on soft skills related to stakeholder management and communications as well as hard skills to highlight processes and tools that aid in gaining support from a broader, international company like SoundCloud.
Making Your Hypothesis Work Harder to Inform Future Product StrategyOptimizely
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
Test & Learn: The Alchemy & Science of Product Metrics - Choosing Metrics Tha...Optimizely
Quantitative measurement is the key to scaling businesses, processes, and products and making them better. It sounds easy: just pick a number, and improve it. It's not.
Choosing a metric is an exploration of a many-dimensional space with no map and no guide. Until now. This talk will teach you the science of choosing metrics that will guide you to building a better product. When you attend this webinar, you will:
Learn how applying data is as much about questions as it is about answers
Discover the trade-offs between different metrics
Understand systematic ways to measure your product funnel
Learn how to isolate the most important metrics to maximize your product impact
How to be a Good Machine Learning PM by Google Product ManagerProduct School
In this presentation you will learn:
-Machine Learning definition and the different types of problems it can solve
-Framework to decide if your specific problem could or should be solved with Machine Learning
-The role that a Product Manager plays in each part of the Machine Learning lifecycle
I’m not going to spend any time on Google Analytics.
How healthy is this business?
It’d be great to track metrics like these: 1 MRR, Churn, LTV, acquisition cost 2 Virality, DAU, MAU 3 Average order value, repurchase rate 4 Funnels and conversions
But you don’t have any data yet
Your data is in a constant rate of decay
Your data is messy
Use metrics that measure your biggest problem. Ignore the rest.
Gateway Metrics
When picking metrics, always ask yourself: What’s my biggest constraint right now and which metric will tell me if I’m making progress?
You need to do the right things in the right order.
Gateway #1: Is your idea any good?
Your main constraint: Getting anyone to care about your idea.
Your main metric: Get someone to pay or use your product regularly.
Bad metrics for this gateway: 1 Asking people if they’ll pay 2 AdWords clicks 3 Beta or waiting list signups 4 Traffic
Gateway #2: Is your product good enough?
Your main constraint: Having a product that’s good enough to build a business on.
Your main metric: Ask 500 users the Product/Market Fit Question
What is the P/M Fit Question?
Your goal for the P/M Fit Question: At least 40% of users should say “Very disappointed.” *Sean Ellis and Hiten Shah get credit for this one.
How do you get to the first 500 users/customers? Hustle.
The P/M Fit Question isn’t perfect, verify with a retention metric.
Gateway #3: Can you grow?
Your main constraint: Acquiring customers consistently from at least one channel.
You have plenty of options to choose from: 1 Inbound (Google, Content, Social) 2 Paid (PPC, Affiliates) 3 Virality (Invites, Referrals)
Pick just one to start Work on your channel for at least 3 months. Assume it’ll work and get the resources needed to execute.
Your main metrics: Your main business metric and acquisition funnel.
Main business metrics: 1 SaaS: Monthly Recurring Revenue 2 Ecommerce: Monthly Revenue 3 Consumer Tech: Monthly Active Users
Why not cost per acquisition or lifetime value? You have no idea how much it costs to acquire customers or how much they’ll spend (yet).
Gateway #4: Do you have a stable model?
Your main constraint: In order to keep scaling, you need a stable model for your business.
Your main metrics: Depends entirely on what business model you have.
The SaaS Model
The Ecommerce
The Consumer Tech Model
Find someone in your industry that knows the key benchmarks.
Finally, get serious with data.
If you have a sales team, pile data into your CRM.
If consumer tech, do everything in-house.
Google Analytics plus an internal database will take you far.
Start with constraints, hack together what you need to measure them.
How to get data you really need: 1 One team owns data quality. 2 Hire a data engineer. 3 Clean up and integrate your data. 4 Use customer analytics. 5 Build a Growth Team.
Experimentation as a growth strategy: A conversation with The Motley FoolChris Goward
In this on-demand webinar, join Nate Wallingsford—Head of US Marketing Operations & Optimization at The Motley Fool—for a virtual discussion about experimentation at his organization.
Discover how Nate and his team are leveraging experimentation to uncover massive revenue gains and actionable customer insights. And learn how Nate has worked to gain visibility and create excitement around testing.
Why Big and Small Data Is Important by Google's Product ManagerProduct School
In this talk, Dan McClary, a Product Manager at Google, walked through the importance of using data to drive product decisions, as well as how to quickly pull together an architecture using free tools to help grow a product effort from market analysis to live data capture and data-driven product decisions. We also played a rousing game of Breakout.
Group Product Manager at Levi's Talks: Data for BeginnersProduct School
As a PM you will want to know about Data Analytics and how to work with a team of data scientists to build a product users will love and trust. During this event the Product Manager at Levi Strauss talked about the basics of data analytics and its use in start ups as well as large companies. He also discussed how to frame problems for both data and engineering stakeholders and Interpret feedback from data team to communicate confidently with business stakeholders.
[CXL Live 16] SaaS Optimization - Effective Metrics, Process and Hacks by Ste...CXL
Stephen will be talking on SaaS optimization strategy, including:
- The data, insight and metrics you need to track to identify opportunity
- Flow optimization: from landing page to trial, usage, purchase and retention
- Problems and opportunities: e.g. how do you test a landing page when the sale happens 14 or 30 days later? How do you manage testing across multiple KPIs simultaneously? How do you understand and segment your key product offering?
Distinguishing business critical events from user behavior is an important part of leveraging event tracking for product development. During this event Matt Salefski, a Group Product Manager at Betterment, demoed funnels and discussed how and when to use SQL and Mixpanel for tracking events and behaviors.
Triple Your Experiment Velocity by Integrating Optimizely with Your Data Ware...Optimizely
Harnessing the power of data and experimentation is central to Updater’s goal of revolutionizing the moving industry. However, while scaling their experimentation program, the team at Updater had to overcome the challenge that many of their conversions happen offline or on third-party sites and therefore couldn't be used in testing. During this session, you’ll learn how Updater fixed this blind spot in their funnels, tripled experiment velocity, and discovered deep user insights by integrating their experimentation platform and data warehouse.
Intro to A/B Testing by Spark Networks former Sr. Product ManagerProduct School
Alex Alwan from Spark Networks talked about how to use A/B testing to figure out the best product and marketing strategies for your business. He discussed how to adopt a culture of testing everything from website copy to engagement emails to Facebook ads, and how to learn through a real SaaS product experiment.
Personalization technologies have ushered in the importance of real time data collection and profile enrichment, and other technologies are starting to adapt to these real time signals to produce new and exciting customer experiences. Join Tealium and Quantum Metric to see an example of how their technologies work with Optimizely in a "Rage Clicking" scenario.
How do you know your software project is doing the right thing? Lean metrics for keeping the course, based on a lean software vision canvas. Presented in Agile Day Riga, May 25 2016.
Intro to Data Analytics with Oscar's Director of ProductProduct School
The Director of Product at Oscar, Vasudev Vadlamudi, went over key types of quantitative analysis that B2C product managers use on the job including: funnels, cohorts, and a/b testing. For each one he looked into when and why they are used, and used examples.
How to be a (Kick Ass) PM w/ LoopNet's former VP of ProductProduct School
Terence Mylonas, Former VP of Product at LoopNet, spoke about some important guidelines on how to make sure product people are pursuing the right projects, getting buy in from different parts of the org before/during the product development lifecycle and that they are successfully launching products.
‘Always be Optimising’ was a meetup for digital marketers and product people keen on getting more from their existing traffic. The slide deck holds all presentations from the meetup.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
I’m not going to spend any time on Google Analytics.
How healthy is this business?
It’d be great to track metrics like these: 1 MRR, Churn, LTV, acquisition cost 2 Virality, DAU, MAU 3 Average order value, repurchase rate 4 Funnels and conversions
But you don’t have any data yet
Your data is in a constant rate of decay
Your data is messy
Use metrics that measure your biggest problem. Ignore the rest.
Gateway Metrics
When picking metrics, always ask yourself: What’s my biggest constraint right now and which metric will tell me if I’m making progress?
You need to do the right things in the right order.
Gateway #1: Is your idea any good?
Your main constraint: Getting anyone to care about your idea.
Your main metric: Get someone to pay or use your product regularly.
Bad metrics for this gateway: 1 Asking people if they’ll pay 2 AdWords clicks 3 Beta or waiting list signups 4 Traffic
Gateway #2: Is your product good enough?
Your main constraint: Having a product that’s good enough to build a business on.
Your main metric: Ask 500 users the Product/Market Fit Question
What is the P/M Fit Question?
Your goal for the P/M Fit Question: At least 40% of users should say “Very disappointed.” *Sean Ellis and Hiten Shah get credit for this one.
How do you get to the first 500 users/customers? Hustle.
The P/M Fit Question isn’t perfect, verify with a retention metric.
Gateway #3: Can you grow?
Your main constraint: Acquiring customers consistently from at least one channel.
You have plenty of options to choose from: 1 Inbound (Google, Content, Social) 2 Paid (PPC, Affiliates) 3 Virality (Invites, Referrals)
Pick just one to start Work on your channel for at least 3 months. Assume it’ll work and get the resources needed to execute.
Your main metrics: Your main business metric and acquisition funnel.
Main business metrics: 1 SaaS: Monthly Recurring Revenue 2 Ecommerce: Monthly Revenue 3 Consumer Tech: Monthly Active Users
Why not cost per acquisition or lifetime value? You have no idea how much it costs to acquire customers or how much they’ll spend (yet).
Gateway #4: Do you have a stable model?
Your main constraint: In order to keep scaling, you need a stable model for your business.
Your main metrics: Depends entirely on what business model you have.
The SaaS Model
The Ecommerce
The Consumer Tech Model
Find someone in your industry that knows the key benchmarks.
Finally, get serious with data.
If you have a sales team, pile data into your CRM.
If consumer tech, do everything in-house.
Google Analytics plus an internal database will take you far.
Start with constraints, hack together what you need to measure them.
How to get data you really need: 1 One team owns data quality. 2 Hire a data engineer. 3 Clean up and integrate your data. 4 Use customer analytics. 5 Build a Growth Team.
Experimentation as a growth strategy: A conversation with The Motley FoolChris Goward
In this on-demand webinar, join Nate Wallingsford—Head of US Marketing Operations & Optimization at The Motley Fool—for a virtual discussion about experimentation at his organization.
Discover how Nate and his team are leveraging experimentation to uncover massive revenue gains and actionable customer insights. And learn how Nate has worked to gain visibility and create excitement around testing.
Why Big and Small Data Is Important by Google's Product ManagerProduct School
In this talk, Dan McClary, a Product Manager at Google, walked through the importance of using data to drive product decisions, as well as how to quickly pull together an architecture using free tools to help grow a product effort from market analysis to live data capture and data-driven product decisions. We also played a rousing game of Breakout.
Group Product Manager at Levi's Talks: Data for BeginnersProduct School
As a PM you will want to know about Data Analytics and how to work with a team of data scientists to build a product users will love and trust. During this event the Product Manager at Levi Strauss talked about the basics of data analytics and its use in start ups as well as large companies. He also discussed how to frame problems for both data and engineering stakeholders and Interpret feedback from data team to communicate confidently with business stakeholders.
[CXL Live 16] SaaS Optimization - Effective Metrics, Process and Hacks by Ste...CXL
Stephen will be talking on SaaS optimization strategy, including:
- The data, insight and metrics you need to track to identify opportunity
- Flow optimization: from landing page to trial, usage, purchase and retention
- Problems and opportunities: e.g. how do you test a landing page when the sale happens 14 or 30 days later? How do you manage testing across multiple KPIs simultaneously? How do you understand and segment your key product offering?
Distinguishing business critical events from user behavior is an important part of leveraging event tracking for product development. During this event Matt Salefski, a Group Product Manager at Betterment, demoed funnels and discussed how and when to use SQL and Mixpanel for tracking events and behaviors.
Triple Your Experiment Velocity by Integrating Optimizely with Your Data Ware...Optimizely
Harnessing the power of data and experimentation is central to Updater’s goal of revolutionizing the moving industry. However, while scaling their experimentation program, the team at Updater had to overcome the challenge that many of their conversions happen offline or on third-party sites and therefore couldn't be used in testing. During this session, you’ll learn how Updater fixed this blind spot in their funnels, tripled experiment velocity, and discovered deep user insights by integrating their experimentation platform and data warehouse.
Intro to A/B Testing by Spark Networks former Sr. Product ManagerProduct School
Alex Alwan from Spark Networks talked about how to use A/B testing to figure out the best product and marketing strategies for your business. He discussed how to adopt a culture of testing everything from website copy to engagement emails to Facebook ads, and how to learn through a real SaaS product experiment.
Personalization technologies have ushered in the importance of real time data collection and profile enrichment, and other technologies are starting to adapt to these real time signals to produce new and exciting customer experiences. Join Tealium and Quantum Metric to see an example of how their technologies work with Optimizely in a "Rage Clicking" scenario.
How do you know your software project is doing the right thing? Lean metrics for keeping the course, based on a lean software vision canvas. Presented in Agile Day Riga, May 25 2016.
Intro to Data Analytics with Oscar's Director of ProductProduct School
The Director of Product at Oscar, Vasudev Vadlamudi, went over key types of quantitative analysis that B2C product managers use on the job including: funnels, cohorts, and a/b testing. For each one he looked into when and why they are used, and used examples.
How to be a (Kick Ass) PM w/ LoopNet's former VP of ProductProduct School
Terence Mylonas, Former VP of Product at LoopNet, spoke about some important guidelines on how to make sure product people are pursuing the right projects, getting buy in from different parts of the org before/during the product development lifecycle and that they are successfully launching products.
‘Always be Optimising’ was a meetup for digital marketers and product people keen on getting more from their existing traffic. The slide deck holds all presentations from the meetup.
Your smarter data analytics strategy - Social Media Strategies Summit (SMSS) ...Clark Boyd
The volume and velocity of available data brings with it a huge amount of new opportunities for marketers. However, without the analytics know-how to avail of this data, these are opportunities that are often missed. Moreover, the variety of different data sources and analytics platforms only add to this complexity.
This presentation covers:
- How to define and communicate an analytics framework
- How to set up analytics dashboards for a range of stakeholders
- The people and skills you need for an optimal analytics team
- Practical tips for improving your campaign measurement
Conversion Rate Optimization for Business GrowthReapDigital
Conversion rate optimization is often limited to testing elements of a website. Button colors, button sizes, images and image placements are few common elements that are tested for optimization. Conversion Rate Optimization can be easily used to optimize beyond website elements to optimize business outcomes.
In this webinar, we will discuss how psychological theories, behavioral insights, research insights and insights through usability testing can be used to build hypothesis for testing. We will also discuss how these hypotheses can be effectively tested and implemented to gain optimum business outcomes.
How to Use Data to Drive Product Decisions by PayPal PMProduct School
Product Managers spend a lot of time thinking about our product metrics, determining which KPIs best describe our progress and what measures we can take to accelerate our success. As a new Product Manager, parsing through the ocean of data can be overwhelming and using this data to make product decisions can be a challenging task.
Deb talked about how you can incorporate data through out your product life cycle to drive product decisions, feature prioritization and long term roadmap strategy. She walked through simple use cases where data has helped Product Managers break down complex problems and arrive at simple product decisions that directly impacted their KPIs. The industry is increasingly hiring data driven Product Managers.
How to Disrupt Digital Product Cultures by LearnVest VP of ProductProduct School
A big part of product management success is bringing various cultures together from people, process, and innovation. Vivek Bedi from LearnVest hosted the product and technology digital teams from Northwestern Mutual and LearnVest as they discussed over the past two years how they have brought two cultures together to come up with a bold, brave, yet balanced "third" culture.
The new culture is one of taking risks, being ok with failing, and focused on innovation while keeping focus on being at the center of clients' financial lives.
Putting Customers First: How To Build Data-Driven Strategies To Ensure Custom...VWO
When opinions take a backseat and data takes control, you can be sure of incremental revenue by building data-informed digital experiences that your customers will love. In this webinar, learn how to develop an evidence-based approach instead of an opinion-based approach.
Watch webinar recording here - https://vwo.com/resources/webinars/how-to-build-data-driven-strategies-ensuring-customer-loyalty/
Feature Prioritization Techniques for an Agile PMs by Microsoft PMProduct School
Main takeaways:
-PMs don't need a lot of data points to prioritize the features for the upcoming sprint. They just need to identify the relevant one's.
-PMs should be skilled to strike the balance between agility in making decisions and accuracy of perceived outcomes
-PMs should be able to prioritize the feature requests with minimum data points available and optimum techniques
Clover Rings Up Digital Growth to Drive ExperimentationOptimizely
Clover's Digital Growth team is responsible for optimizing the merchant's digital experience and they rely on experimentation to guide digital decision-making. This enables them to quickly learn and measure what changes deliver the best outcomes for users.
Join us with Lead Product Manager of Growth, Monil Shah, to learn how Clover:
- Increased digital conversions amongst merchants with an investment in experimentation
- Grew experiment velocity by 4x after replacing Adobe Target
- Designed a framework to efficiently capture and prioritize test ideas, and roll out winners
A Day in the Life of a Product Manager by Expedia Senior PMProduct School
Take aways:
-As the "CEO" you are responsible for the success of your Product despite never actually "building" anything
-As the "Coach" you are responsible for pushing the team to succeed and always remaining optimistic
-As the "Router" you are responsible for directing the overwhelming questions, feedback and other communication to the right place
-As the "Super User" no one should know your product better than you
-As the "Janitor" you do the dirty work to keep the team moving forward
Should UI/UX be gut-feeling or data-driven? How to stand out from the tough competition by perfecting your owned asset?
A/B testing a long-grind road but it does not have to be tough! Demyth the 4 steps approach to optimization and what it can bring to you
What Your Customers Really Do Online: 5 Ways to Remove the GuessworkOptimizely
As digital marketers and experience leaders, we have increasingly reduced our customers to merely data points, line graphs, and bar charts.
The problem is that we are losing the necessary insight and experimentation to understand human behavior across digital channels. To uncover our customers’ true intent, and ultimately understand the behavioral impact on the bottom line, we need to start asking WHY.
In this webinar, hear from experts from Clicktale and Optimizely as they share experiences from working with brands like Samsung, Missguided, and RBS to uncover:
- What data and insights can uncover about customers’ digital behavior
- How to align metrics that look at measuring the experience, not just conversion
- How brands are scaling an approach to data, insights, and analytics across their organizations
- Best practices in ideation, A/B testing, and experimentation
Are you about to launch a new CRO program?
The first 30 days are pivotal for your long-term success. There’s a lot of pressure to demonstrate value quickly, which isn’t easy. The process is far more complicated than it seems and can only be tackled with a well-thought-out plan.
Our expert for this session, Joe Johnston, is the Head of Conversion at Launch, and he understands the common challenges that often arise when you kickstart a CRO program. Fortunately, he also knows how to mitigate them. In this webinar, he will share methods for gaining trust from key stakeholders and laying the foundations for collecting robust (valid) data, which is crucial in the first phase.
As business owners and execs, as product managers and sales people, we are surrounded by big data. Yet, we have big questions about our customers that we still don't have the answers to. We know a lot about what people are doing but not really the underlying reasons why. To get at that why you need to leverage the power of SMALL data.
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdfProduct School
Explore AI tools hands-on and smoothly integrate them into your work routine. This practical experience is here to empower you, offering insights into the mindset of successful Product Managers. Learn the skills to become a more effective Product Manager.
Main Takeaways:
Hands-On AI Integration:
Learn practical strategies for integrating AI tools into your workflow effectively.
Mindset Insights for Success:
Gain valuable insights into the mindset of successful Product Managers, unlocking the secrets to their achievements.
Skill Empowerment for Growth:
Acquire essential skills that empower your evolution toward becoming a more effective and impactful Product Manager.
Webinar: Using GenAI for Increasing Productivity in PM by Amazon PM LeaderProduct School
In this webinar, you will learn how AI can take work off your plate, allowing you to focus on deep thinking or critical work. Cut out the drudge work in Product Management and get more out of your day.
Learnings:
Improve workflows that are high frequency - "manual tasks"
Increase the quality of output that has high importance - "brainy tasks"
Put GenAI to work today
Unlocking High-Performance Product Teams by former Meta Global PMMProduct School
Main Takeaways:
- High-Performing Team Dynamics: You’ll gain insights into fostering high-performance teamwork.
- Unveiling Team Personas: You’ll learn about different personas in the team and how to foster these differences.
- Decoding the Team Needs x Productivity Equation: You’ll learn about different team needs and how they correlate with engagement and productivity.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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!
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
12. Overview
● The Character of Data
● Collecting Data
● What to Measure?
● Insights
● Dashboards and Reporting
● Multivariate Testing
● Machine Learning
21. What Can Data Tell Us?
● What areas of the product are getting the most use and how
● How we're doing (key performance indicators, "KPI")
● The outcome of an experiment
● Whether a feature "sucks"
● And… what it can’t
○ What to do next
○ Causal relationships between past events
○ When to make larger bets
○ Whether you’ve hit relative maxima
27. Growth
● Users/customers - how many are coming in? Where do they come
from?
● Retention - are people coming back 48 hours, one week, one month
after joining? Different apps may care about different retention
intervals.
● Invites (k-factor) - how many invites are you getting out of each user? If
you have multiple viral elements, which is most effective?
30. Engaging Apps
• Engagement
– Sign-in, page views, time on site
• Interactions
– App-specific
– Prioritize driving further engagement / growth
What are the two most important interactions on Instagram?
34. What Not to Measure
● Clicks—clicks aren’t always positive, clicking around may signal user
distress or confusion
● Page views—a painfully obvious perverse incentive.
● Time on site—not terrible data, but over-emphasized and not
objectively positive
38. Ad Hoc Questions
Can empower other teams:
● What are behaviors that correlated to paid upgrades?
● Which customers haven't logged in in a while?
And tell you what's worth working on:
● How many people view this page?
● Should we build an Android app? (How might you determine this?)
50. Testing Has Costs
1. Time to delivery
2. Code complexity
3. QA has to test multiple versions
4. Other PMs and Designers have to know about tests
5. Users don’t love the idea
Early heuristic: only test features that impact 30% of users.
54. Million Dollar Bet
Here are the ground rules:
1. The competition will last approximately two years
2. Once a flag is on the object, the other competitor can no longer put their flag
there
3. We both start in San Francisco with $10,000. We can borrow more, but then
we don’t win as much from the bet.
What would be your strategy?
62. Flavors of Test Data
Aggregates
Number of times a certain action was taken
● Number of invites sent
● Total replies
● Days Engaged
Binaries
Whether a certain action was taken
● Invite sent
● Replied
● 24 hour retention
70. Experiment Outcomes at Google
Failure SuccessFlat
33.333333% 33.333333% 33.333333%
The very best product managers at Google are “wrong” 68%
of the time.
78. Review
● The Character of Data
● Collecting Data
● What to Measure?
● Insights
● Dashboards and Reporting
● Multivariate Testing
● Machine Learning
83. www.productschool.com
Part-time Product Management, Coding, Data, Digital
Marketing and Blockchain courses in San Francisco, Silicon
Valley, New York, Santa Monica, Los Angeles, Austin, Boston,
Boulder, Chicago, Denver, Orange County, Seattle, Bellevue,
Toronto, London and Online