Optimizely X is a product that enables rapid experimentation across organizations by allowing anyone to experiment everywhere on any channel or device. It delivers personalized experiences and allows companies to optimize anything that matters to their business. The demonstration showed how an online apparel retailer could use Optimizely X to test visual elements and site functionality across different touchpoints like web and mobile to improve key metrics like conversion rate and average order size. Customers from various industries like IBM have seen significant business results by using Optimizely X to instill a culture of experimentation and data-driven decision making.
To Compete, Scale Personalization with Digital IntelligenceOptimizely
Firms know that to compete in the age of the customer they must delight customers with personalized experience during precious yet fleeting moment of engagement. But how do you continually provide the best personalization at scale to really compete? Hear this on-demand session to learn more!
World Class Optimization: Benchmarking 1,000+ CompaniesOptimizely
Innovation is required for any growing organization, but nearly impossible without a robust experimentation strategy. This webinar presents you with discoveries on best practices gleaned from an expansive data set spanning over 100,000 experiments in 2016.
Watch this on-demand webinar to learn:
- What traits define the best testing organizations
- How can you drastically increase your testing performance
- What are the right team goals to measure your testing program
Accurate A/B tests can make a huge difference to the performance of your website. These slides will teach you how you can test ideas, copy, and designs without major investment in infrastructure. Optimizely partners with the Pantheon team to explain why A/B testing is essential to the success of your and your clients’ websites.
Web optimization is a vital part of the evolution of customer experience. As performance has become an increasingly more important consideration and experimentation has been driven deeper into the behavioral layer of web pages or apps, brands are turning to server-side optimization solutions to help solve the need for greater testing & optimization across every aspect of the consumer’s journey.
Cultivating a Culture of ExperimentationOptimizely
By harnessing insights from experimentation, people across your organization can contribute ideas and decisions that take the customer experience to new levels. To take advantage of this, forward-thinking organizations are getting everyone involved in experimentation. These slides will share how General Assembly is cultivating a culture of experimentation and the impact it’s making company-wide.
Getting Started with Server-Side TestingOptimizely
One of the most difficult aspects of deep experimentation ― which requires a full stack solution and server-side testing ― is laying a solid foundation for success. Join Optimizely and WiderFunnel to learn best practices for going beyond client-side testing, and implementing a full stack experimentation strategy to drive results on the entire customer journey.
-How to identify your key success metrics, such as customer retention and lifetime value
-How to integrate experimentation into your product roadmap
-How to start testing on your full customer journey
An Experimentation Framework: How to Position for Triple Digit GrowthOptimizely
You’ve done the button color A/B test, you’ve optimized your landing pages for better conversion. What next? At B2B organizations large and small, there is still tremendous potential for experimentation to drive innovation and growth. Learn how Brion’s growth team enables rapid iteration across a variety of different domains, teams, and organizations within Cisco. With an organization of 70,000 employees and many distributed divisions, enabling experimentation can be a complex initiative. Learn the framework for upleveling from random testing to
explicit strategy to position your org for triple digit growth.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
To Compete, Scale Personalization with Digital IntelligenceOptimizely
Firms know that to compete in the age of the customer they must delight customers with personalized experience during precious yet fleeting moment of engagement. But how do you continually provide the best personalization at scale to really compete? Hear this on-demand session to learn more!
World Class Optimization: Benchmarking 1,000+ CompaniesOptimizely
Innovation is required for any growing organization, but nearly impossible without a robust experimentation strategy. This webinar presents you with discoveries on best practices gleaned from an expansive data set spanning over 100,000 experiments in 2016.
Watch this on-demand webinar to learn:
- What traits define the best testing organizations
- How can you drastically increase your testing performance
- What are the right team goals to measure your testing program
Accurate A/B tests can make a huge difference to the performance of your website. These slides will teach you how you can test ideas, copy, and designs without major investment in infrastructure. Optimizely partners with the Pantheon team to explain why A/B testing is essential to the success of your and your clients’ websites.
Web optimization is a vital part of the evolution of customer experience. As performance has become an increasingly more important consideration and experimentation has been driven deeper into the behavioral layer of web pages or apps, brands are turning to server-side optimization solutions to help solve the need for greater testing & optimization across every aspect of the consumer’s journey.
Cultivating a Culture of ExperimentationOptimizely
By harnessing insights from experimentation, people across your organization can contribute ideas and decisions that take the customer experience to new levels. To take advantage of this, forward-thinking organizations are getting everyone involved in experimentation. These slides will share how General Assembly is cultivating a culture of experimentation and the impact it’s making company-wide.
Getting Started with Server-Side TestingOptimizely
One of the most difficult aspects of deep experimentation ― which requires a full stack solution and server-side testing ― is laying a solid foundation for success. Join Optimizely and WiderFunnel to learn best practices for going beyond client-side testing, and implementing a full stack experimentation strategy to drive results on the entire customer journey.
-How to identify your key success metrics, such as customer retention and lifetime value
-How to integrate experimentation into your product roadmap
-How to start testing on your full customer journey
An Experimentation Framework: How to Position for Triple Digit GrowthOptimizely
You’ve done the button color A/B test, you’ve optimized your landing pages for better conversion. What next? At B2B organizations large and small, there is still tremendous potential for experimentation to drive innovation and growth. Learn how Brion’s growth team enables rapid iteration across a variety of different domains, teams, and organizations within Cisco. With an organization of 70,000 employees and many distributed divisions, enabling experimentation can be a complex initiative. Learn the framework for upleveling from random testing to
explicit strategy to position your org for triple digit growth.
Evolving Experimentation from CRO to Product DevelopmentOptimizely
An obsession with data, efficiency, and delivering incredible customer experiences are just a few things that the CNN Consumer Science and Software Engineering teams have in common. Simple A/B testing practices evolved into a culture of experimentation, sparking new development practices across the organization. Learn how they drive results across their entire platform from websites to mobile apps.
Under the Hood Webinar Series: B2B Experimentation & Personalization at Optim...Optimizely
How Optimizely's Marketing team drives sustainable business growth through experimentation
Driving quality leads, nurturing pipeline, and creating a great website experience are common challenges faced by marketing teams at B2B companies. At Optimizely, we take a data-driven approach, running over a hundred experiments and personalization campaigns a year to improve the web experience on Optimizely.com.
In this webinar from our ‘Under the Hood’ series, Director of Demand Gen, Michael O’Connell, and Experimentation Program Manager, Takeshi Young, will share strategic insights and tactical examples from Optimizely’s internal experimentation program.
Attend this webinar and learn:
- How Optimizely manages its experimentation program
- How to democratize the ideation process in your organization
- Specific examples of experiments Optimizely has run to drive business results
- How to combine experimentation with personalization to optimize your digital experiences
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8Optimizely
Watch Dan Ross, Managing Director for Optimizely ANZ in our latest webinar from the Experimentation Insights Tour -- "How To Build a Winning Experimentation Program & Team."
View the presentation here: https://optimizely.wistia.com/medias/1o6xy4j0xm
Take Optimizely's Maturity Assessment here: https://www.optimizely.com/maturity-model/
DESCRIPTION: The world’s leading companies utilise experimentation to build a culture that fosters innovation and agility. The key to experimentation is to have both the right tools (software) in combination with the right people and processes
In this webinar, you will learn:
* Why experimentation is central to competing and innovating
* Areas to assess when building your experimentation capability
* How organisational culture helps scale an experimentation program
About Optimizely:
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
[Webinar] Innovate Faster by Adopting The Modern Growth StackOptimizely
Adopting a growth mindset requires that product teams become experts in their customers’ behavior. But often legacy technologies simply count clicks and users, and fail to provide insights that product teams need to accelerate growth.
Attend this webinar and learn how the modern growth stack can help you:
-Overcome obstacles that often prevent enterprises from moving quickly
-Use experimentation and product analytics to reduce uncertainty and increase data-driven decisions
-Design a Modern Growth Stack built from best of breed solutions to accelerate product innovation
This webinar is part of our Change the Game series.
To go from one-off testing to building an experimentation program, you need new tools to help you manage ideas, coordinate across teams, and share knowledge across your organization.
We built Optimizely Program Management to help companies increase the scale and velocity of their experimentation programs so that they can iterate and innovate faster than ever before.
Attend this webinar to learn how to:
-Effectively scale your experimentation with Program Management
-Collaborate more effectively across multiple teams and stakeholders
-Report on your experimentation program holistically and uncover new insights
Watch Dan Ross, Managing Director for Optimizely ANZ in our latest webinar from the Experimentation Insights Tour -- "7 Habits of Highly Effective Personalisation Organisations”
Watch the webinar here: https://optimizely.wistia.com/medias/cun66mnkwt
Take Optimizely's Maturity Assessment here: https://www.optimizely.com/maturity-model/
DESCRIPTION: Create a data-driven culture and affect business decisions at the broader company level. When most people think of experimentation or testing, they think of sales and marketing.
However, to do real customer experience optimisation, you need to think about all the ways your customers are interacting with you.
The right mix to support building your programme into a centre of excellence is critical: you need a team that helps create a data-driven culture.
Watch this webinar so you can:
* Think more deeply about the future of your program and the makeup of your team
* Consider which hard and soft skill sets your testing organisation needs
* Build a well-rounded optimisation team that is visible, sustainable, and efficient
About Optimizely
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
The Optimizely Experience Keynote by Matt Althauser - Optimizely Experience L...Optimizely
In this the keynote of the Optimizely Experience London, Matt Althauser (GM Optimizely Europe) shows where Optimizely has started in 2010 and how the product has evolved since.
During his talk fellow team members explained these additional features in more detail. Features include:
- Drag & Drop WYSIWYG editor
- Mobile
- API
- Audiences
- Balanced Content Delivery Network (CDN)
Optimizely, HEMA & Farfetch - Unlock the Potential of Digital Experimentation...Optimizely
Consistency is key. But it is hard, very hard. How do you ensure you keep the ball rolling and continue to reinvent experiences for your users? This is where the Optimizely Professional Services Team comes in to act as an extension of your team. These experienced professionals have seen over 100.000 experiences being created and will help you unlock the potential of Optimizely's products and digital experimentation.
In this session, our customer Farfetch will join us for a fireside chat to talk about how they extend their team with Optimizely Services Professionals, who understand the challenge of building an experimentation program and who help them excel in their role in the business by helping them prove the value of experimentation.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
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.
How Clorox Experiments Across Brands to Turn Visitors into ConsumersOptimizely
As more brands focus on digital marketing and Direct-to-Consumer strategies, experimentation can help them efficiently increase consumer engagement. At Clorox, a data-driven experimentation strategy helps them leverage insights across multiple brands.
Watch the on-demand webinar to learn:
- How Clorox gathers insights from omnichannel experimentation to turn visitors into consumers
- Clorox’s experimentation strategy including how an experiment to remove price friction helped their conversion rate optimization
- The process behind creating “Ways of Working” for experimentation programs across Clorox’s Direct-to-Consumer (DTC) brands
Retention is critical to the survival of every business. You can spend time and money acquiring users, but without a solid retention strategy, you’re throwing that money away. The retention playbook, tested with examples from growth-stage companies, will provide you with a framework for diagnosing and improving your retention at all stages of the customer lifecycle.
From iOS to TiVo: In-app Digital Experience TestingOptimizely
Experimentation doesn’t end with the desktop experience. You can experiment everywhere — across all of your digital touchpoints, to drive acquisition, engagement and retention on every channel. In this session you’ll hear how two iconic brands, Fox Networks and Nike, have leveraged multiple channels to build their experimentation programs.
At Fox, experimentation involves testing every new feature on their iOS, TiVo and FireTV applications. For Nike, they want to democratize testing across the entire company. Today, they are empowering PMs, engineers, and marketers across the SNKRS and Training Apps, as well as the core Nike.com experience. Join this session to learn how these retail and media leaders have focused their efforts at pleasing their customers wherever they are.
At Charles Schwab, they have a mantra of viewing the world through their client’s eyes. When it comes to building digital experiences and running experiments, winning isn’t just about moving metrics, it’s also about improving customer experience. Sara Tresch, SVP of Digital Services at Schwab will be discussing how Schwab designs products and experiments with a client-first mindset.
Experimental statistics is only one of the many powerful analytical techniques companies are using to supercharge their experiment ideation, segmentation, and analysis. Check out this content for a refresher of key stats issues and a discussion on how to use data for better test and bigger wins.
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.
Optimizing Your B2B Demand Generation MachineOptimizely
If generating demand for your product is a struggle, rest assured that you are in the majority. 63% of marketers say their top challenge is generating traffic and leads. So what's a marketer to do? We say: hypothesize and experiment.
Join us for this free seminar where SurveyMonkey will share how their marketing team experiments and optimizes different parts of their demand gen machine. You'll hear real stories, tactics, and outcomes that will inspire your own demand gen experimentation.
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
Intuit - How to Scale Your Experimentation ProgramOptimizely
Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
Under the Hood Webinar Series: B2B Experimentation & Personalization at Optim...Optimizely
How Optimizely's Marketing team drives sustainable business growth through experimentation
Driving quality leads, nurturing pipeline, and creating a great website experience are common challenges faced by marketing teams at B2B companies. At Optimizely, we take a data-driven approach, running over a hundred experiments and personalization campaigns a year to improve the web experience on Optimizely.com.
In this webinar from our ‘Under the Hood’ series, Director of Demand Gen, Michael O’Connell, and Experimentation Program Manager, Takeshi Young, will share strategic insights and tactical examples from Optimizely’s internal experimentation program.
Attend this webinar and learn:
- How Optimizely manages its experimentation program
- How to democratize the ideation process in your organization
- Specific examples of experiments Optimizely has run to drive business results
- How to combine experimentation with personalization to optimize your digital experiences
How To Build a Winning Experimentation Program & Team | Optimizely ANZ Webinar 8Optimizely
Watch Dan Ross, Managing Director for Optimizely ANZ in our latest webinar from the Experimentation Insights Tour -- "How To Build a Winning Experimentation Program & Team."
View the presentation here: https://optimizely.wistia.com/medias/1o6xy4j0xm
Take Optimizely's Maturity Assessment here: https://www.optimizely.com/maturity-model/
DESCRIPTION: The world’s leading companies utilise experimentation to build a culture that fosters innovation and agility. The key to experimentation is to have both the right tools (software) in combination with the right people and processes
In this webinar, you will learn:
* Why experimentation is central to competing and innovating
* Areas to assess when building your experimentation capability
* How organisational culture helps scale an experimentation program
About Optimizely:
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
[Webinar] Innovate Faster by Adopting The Modern Growth StackOptimizely
Adopting a growth mindset requires that product teams become experts in their customers’ behavior. But often legacy technologies simply count clicks and users, and fail to provide insights that product teams need to accelerate growth.
Attend this webinar and learn how the modern growth stack can help you:
-Overcome obstacles that often prevent enterprises from moving quickly
-Use experimentation and product analytics to reduce uncertainty and increase data-driven decisions
-Design a Modern Growth Stack built from best of breed solutions to accelerate product innovation
This webinar is part of our Change the Game series.
To go from one-off testing to building an experimentation program, you need new tools to help you manage ideas, coordinate across teams, and share knowledge across your organization.
We built Optimizely Program Management to help companies increase the scale and velocity of their experimentation programs so that they can iterate and innovate faster than ever before.
Attend this webinar to learn how to:
-Effectively scale your experimentation with Program Management
-Collaborate more effectively across multiple teams and stakeholders
-Report on your experimentation program holistically and uncover new insights
Watch Dan Ross, Managing Director for Optimizely ANZ in our latest webinar from the Experimentation Insights Tour -- "7 Habits of Highly Effective Personalisation Organisations”
Watch the webinar here: https://optimizely.wistia.com/medias/cun66mnkwt
Take Optimizely's Maturity Assessment here: https://www.optimizely.com/maturity-model/
DESCRIPTION: Create a data-driven culture and affect business decisions at the broader company level. When most people think of experimentation or testing, they think of sales and marketing.
However, to do real customer experience optimisation, you need to think about all the ways your customers are interacting with you.
The right mix to support building your programme into a centre of excellence is critical: you need a team that helps create a data-driven culture.
Watch this webinar so you can:
* Think more deeply about the future of your program and the makeup of your team
* Consider which hard and soft skill sets your testing organisation needs
* Build a well-rounded optimisation team that is visible, sustainable, and efficient
About Optimizely
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
The Optimizely Experience Keynote by Matt Althauser - Optimizely Experience L...Optimizely
In this the keynote of the Optimizely Experience London, Matt Althauser (GM Optimizely Europe) shows where Optimizely has started in 2010 and how the product has evolved since.
During his talk fellow team members explained these additional features in more detail. Features include:
- Drag & Drop WYSIWYG editor
- Mobile
- API
- Audiences
- Balanced Content Delivery Network (CDN)
Optimizely, HEMA & Farfetch - Unlock the Potential of Digital Experimentation...Optimizely
Consistency is key. But it is hard, very hard. How do you ensure you keep the ball rolling and continue to reinvent experiences for your users? This is where the Optimizely Professional Services Team comes in to act as an extension of your team. These experienced professionals have seen over 100.000 experiences being created and will help you unlock the potential of Optimizely's products and digital experimentation.
In this session, our customer Farfetch will join us for a fireside chat to talk about how they extend their team with Optimizely Services Professionals, who understand the challenge of building an experimentation program and who help them excel in their role in the business by helping them prove the value of experimentation.
Zillow + Optimizely: Building the Bridge to $20 Billion RevenueOptimizely
Join Jason Tabert, Senior CRO Marketing Specialist, and learn how Zillow is using Optimizely’s experimentation, personalization and integrations to help grow their revenue to $20 billion by helping their customers cross the real estate chasm from despair to delight.
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.
How Clorox Experiments Across Brands to Turn Visitors into ConsumersOptimizely
As more brands focus on digital marketing and Direct-to-Consumer strategies, experimentation can help them efficiently increase consumer engagement. At Clorox, a data-driven experimentation strategy helps them leverage insights across multiple brands.
Watch the on-demand webinar to learn:
- How Clorox gathers insights from omnichannel experimentation to turn visitors into consumers
- Clorox’s experimentation strategy including how an experiment to remove price friction helped their conversion rate optimization
- The process behind creating “Ways of Working” for experimentation programs across Clorox’s Direct-to-Consumer (DTC) brands
Retention is critical to the survival of every business. You can spend time and money acquiring users, but without a solid retention strategy, you’re throwing that money away. The retention playbook, tested with examples from growth-stage companies, will provide you with a framework for diagnosing and improving your retention at all stages of the customer lifecycle.
From iOS to TiVo: In-app Digital Experience TestingOptimizely
Experimentation doesn’t end with the desktop experience. You can experiment everywhere — across all of your digital touchpoints, to drive acquisition, engagement and retention on every channel. In this session you’ll hear how two iconic brands, Fox Networks and Nike, have leveraged multiple channels to build their experimentation programs.
At Fox, experimentation involves testing every new feature on their iOS, TiVo and FireTV applications. For Nike, they want to democratize testing across the entire company. Today, they are empowering PMs, engineers, and marketers across the SNKRS and Training Apps, as well as the core Nike.com experience. Join this session to learn how these retail and media leaders have focused their efforts at pleasing their customers wherever they are.
At Charles Schwab, they have a mantra of viewing the world through their client’s eyes. When it comes to building digital experiences and running experiments, winning isn’t just about moving metrics, it’s also about improving customer experience. Sara Tresch, SVP of Digital Services at Schwab will be discussing how Schwab designs products and experiments with a client-first mindset.
Experimental statistics is only one of the many powerful analytical techniques companies are using to supercharge their experiment ideation, segmentation, and analysis. Check out this content for a refresher of key stats issues and a discussion on how to use data for better test and bigger wins.
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.
Optimizing Your B2B Demand Generation MachineOptimizely
If generating demand for your product is a struggle, rest assured that you are in the majority. 63% of marketers say their top challenge is generating traffic and leads. So what's a marketer to do? We say: hypothesize and experiment.
Join us for this free seminar where SurveyMonkey will share how their marketing team experiments and optimizes different parts of their demand gen machine. You'll hear real stories, tactics, and outcomes that will inspire your own demand gen experimentation.
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
Intuit - How to Scale Your Experimentation ProgramOptimizely
Here’s the playbook Intuit uses to increase its experimentation velocity — even when they face traffic limitations.
Mike Loveridge is not new to running experimentation teams. Before Intuit, he built out programs at Ancestry.com, GE, Humana, and CheapOair. He's an expert at making experimentation work at high velocity, even in traffic-challenged situations.
In this webinar, Mike Loveridge shared his best practices for making CRO work at high velocity, key lessons from scaling multiple teams, and why he's bullish on the future of "test and learn".
How to Turn Raw Data into Product Revenue by Retrofit PMProduct School
Most companies have a goldmine of data, yet lack the ability to know what to do with it. In this talk, Monica shared perspective on how to evaluate data, package it, and turn it in to additional revenue streams.
Main takeaways:
- Identify use cases for data.
- Turn those use cases in to product offerings.
- Create a pricing model & collect revenue.
Test Everything: TrustRadius Delivers Customer Value with ExperimentationOptimizely
When done right, experimentation can help you validate the product you’re building and create winning customer experiences. And it doesn’t take a big engineering team to make this happen.
TrustRadius, the most trusted review site for business technology, uses experimentation to build an online community through website and server-side experimentation. The small but mighty TrustRadius team runs experiments throughout the buyer’s journey to engage different user personas and understand outcomes in real-time.
Watch the webinar recording featuring Rilo Stark, product manager at TrustRadius, and Jack Peden, senior software engineer, to understand their data-driven experimentation strategy and how TrustRadius uses Optimizely Web and Full Stack products to tailor experiences to different customer segments and mitigate risk through A/B/N and painted door tests.
The Wall Street Journal - Optimizing MembershipOptimizely
For the past three years, The Wall Street Journal has used experimentation to help create their membership experience. Starting with acquisition and expanding to engagement, product, and retention testing, WSJ has built a data-driven culture that leverages these experiments to deliver a premium experience that grows their base and keeps members coming back for more.
In this webinar, Olivia Simon from The Wall Street Journal’s optimization team shares how WSJ created their robust and successful testing program.
You’ll learn:
How to think about testing in a membership ecosystem
How WSJ prioritizes tests and earns stakeholder buy-in
About WSJ’s emphasis on testing throughout the customer acquisition funnel
How WSJ expanded their testing funnel beyond acquisition, and the key testing moments they target for consumer engagement and retention
[Webinar] Visa's Journey to a Culture of ExperimentationOptimizely
Join us as we hear Ramkumar Ravichandran, the Director of A/B Testing at Visa Checkout, explain how he created a high impact experimentation program. Ram will take us through the growth of Visa’s program: from selling the value, to laying down the vision, the roadmap and success criteria, to creating the right team and driving engagement with the program.
Attend this webinar to learn:
-How an experimentation program drives business impact.
-A model to drive continuous stakeholder engagement with the program.
-How to build a roadmap that goes above and beyond simple UX optimization.
Today, Atlassian runs experiments and personalization campaigns across all their products, campaigns, and commerce. But it wasn’t always like this. Atlassian started small and at their own pace, grew across the enterprise.
Join Tom Tsao, the head of eCommerce at Atlassian, to learn how they evolved, from the origins of their program, to their process and team structure.
-Learn how to build a program around digital experience optimization using Optimizely.
-Get advanced use cases that deliver business impact.
-Learn what metrics are important in measuring the growth of your program.
Aeroméxico: Improving the Booking Experience with Data-First PersonalizationOptimizely
As the flag carrier airline of Mexico, Aeroméxico is constantly working to see how they can improve their customer experience. For the airliner it began with ensuring the wealth of data they had on customers was available and actionable for use in Optimizely.
Aeroméxico used their already strong A/B testing practice to jumpstart detailed and customer-focused personalization efforts through the booking process. They hypothesized that if they personalized the booking flow process based on prior customer behavior, they would streamline the process and enable customers to purchase flights more efficiently.
In this webinar, Aeroméxico's Angie Romero and Optimizely's Alek Toumert will discuss how Aeroméxico went about organizing their data to enable testing and personalization together by leveraging this data, ultimately focusing on building better customer experiences.
Join this webinar to learn:
- How to think about structuring your data for personalization
- How to create hypotheses about personalization campaigns from existing a/b tests
- How personalizing customer experience along your primary journeys enables higher lift
Failure is an Option: Scaling Resilient Feature DeliveryOptimizely
Designing a perfect, failproof software delivery system is impossible. Failures will happen. What's more important is the speed and reliability of your recovery.
Shipping with feature flags helps you limit your risk in the first place and recover faster when the unexpected happens.
Today, with Optimizely Agent, companies that build their apps using service-oriented architectures can achieve production-scale faster with their feature delivery and experimentation platform.
Unifying feature management with experiments - Server Side Webinar (1).pdfVWO
What’s common across companies like Netflix, Airbnb, Amazon, and Google? - Their ability to continuously experiment and roll out enhancements quickly across all aspects of their business. Today, every business is fundamentally a technology business. To stay ahead of the competition, you must iterate quickly with experiments across configurations in search algorithms, navigation, checkout flows, discounts, and security settings without breaking existing experience. That’s precisely what unifying experimentation with feature management enables for you.
Join Thejas Sridhar, Manager of Product Marketing, to explore the power of unifying A/B testing and feature management for continuous development.
Building a Culture of Experimentation at HPOptimizely
Today’s leading digital businesses, such as Amazon, Google and Facebook, cite experimentation as the key to constantly improving their digital experiences. Yet many companies are still in the early stages of adopting a test and learn mindset when it comes to innovating on their own experiences.
In this webinar, hear how HP has built a global center of excellence, structured their experimentation teams and meetings, and focused on technology, governance, and strategy on their way to building a culture of experimentation.
You'll learn:
- How we structured our Center Of Excellence, and why it's working for us at a global scale
- Our emphasis on Data and Strategy, ensuring we make effective business decisions
- How we’ve interlocked our technologies to give us insights and the edge on our Experiments
- Our Partnership and Growth Story, on our way to grow experiments by 3x worldwide YoY
Learn the real best practices and pitfalls of experimentation based on scientific research and insights. Hazjier is co-author of three studies on experimentation with Harvard Business School and his work is covered in the book Experimentation Works. This talk will dive into the best practices of experiment design, the role of hierarchy in experimentation teams, and the value of experimentation.
Atlassian's Mystique CLI, Minimizing the Experiment Development CycleOptimizely
Mystique CLI is an Atlassian developed CLI for Optimizely Web. It is a multi-phase project that is currently focusing on improving the development cycle for growth engineers. Currently, Mystique is the standard for developing web experiments at Atlassian, and is capable of a wide variety of operations utilizing Optimizely's REST API. This includes creating, updating, testing, and duplicating experiments/personalization campaigns, as well as "promoting" these entities between Optimizely projects for different environments (e.g. from QA => Prod). It has significantly reduced manual overhead and decreased development time by up to 95% for particular actions.
Autotrader Case Study: Migrating from Home-Grown Testing to Best-in-Class Too...Optimizely
Autotrader's Product and Engineering teams were ahead of the curve many years ago when they built a home-grown solution for leveraging feature flags to support server-side testing. Over the years, the industry eventually caught up and surpassed this proprietary tooling and the team had a choice to make: Re-invest into the local solution or completely retool. In this case study, Scott Povlot, Principal Technical Architect, and Seth Stuck, Director of R&D Analytics, will discuss their journey in selecting and then migrating to their next generation of experimentation tooling. They will discuss selection criteria, pros and cons, and outline how they were able to make the migration to Optimizely successful and lessons learned along the way.
The Future of Optimizely for Technical TeamsOptimizely
Optimizely has been reimagining the future of progressive delivery and experimentation, improving every part of the platform to empower technical teams to build, ship, and iterate faster. Learn about the latest enhancements to Optimizely Full Stack and the Optimizely Data Platform, and get a sneak peek at the upcoming roadmap.
Empowering Agents to Provide Service from Anywhere: Contact Centers in the Ti...Optimizely
The coronavirus pandemic has pushed contact center leaders to accelerate technology adoption and empower their teams to work remotely. Join this session with State Farm, Salesforce, and Optimizely to learn how contact centers can adapt quickly and successfully in the time of COVID.
Our new normal has accelerated eCommerce trends by 4-6 years. The Optimizely team shares how experimentation can help retailers fast forward their online sales strategy with Microsoft Dynamics 365 Commerce.
Building an Experiment Pipeline for GitHub’s New Free Team OfferingOptimizely
In April 2020, GitHub announced a new Free for Teams plan. Behind the scenes, the engineering team was also setting up an experiment pipeline and an integration with Optimizely. In this session, we will take a peek at the process of setting up the integration, learning about the behavior of this new Free for Teams customer segment, and the next steps for this experiment pipeline.
AMC Networks Experiments Faster on the Server SideOptimizely
Speeding up innovation only matters if it helps you drive positive outcomes. At AMC, experimentation enables the product and platform teams to challenge their assumptions, maximize impact, and evaluate ideas as painted door tests before investing in significant development. A commitment to test everything across 9 platforms fueled their search for the most scalable solution.
In this session, you'll learn how to:
Leverage server-side testing to experiment quickly
Scale across web, mobile, and OTT applications
Determine when client-side testing is more efficient
Overcoming the Challenges of Experimentation on a Service Oriented ArchitectureOptimizely
Growing from an early stage startup to a national leader in financial literacy is no small feat, and there are a ton of lessons that we have learned at Greenlight as we have grown. Long gone are the days where we would ship something and cross our fingers hoping that it makes some kind of impact on our customers. Now we’re in a world where we can learn ahead of time how much impact a feature will have on the business, before we even launch! In today’s conversation, we’ll discuss how we use Optimizely’s feature flags in our microservice architecture using Optimizely Agent while keeping user IDs and context synchronized.
This session will cover:
How we set up Optimizely Agent and use it in a kubernetes deployment
How we created a user-aliasing service
How we access Optimizely both on the frontend and in the backend services.
How to build a full stack feature
How to manage the rollout using Optimizely’s feature flags
How The Zebra Utilized Feature Experiments To Increase Carrier Card Engagemen...Optimizely
A/B testing is an essential element in any product managers playbook. However having the freedom and flexibility to customize testing based on what the data is saying often requires a lot of time and effort, particularly when it comes to engineering resources. Optimizely offers a flexible approach to experimentation through the use of feature testing, which provides more customization options without the additional development effort typically required to implement these feature optimizations. Megan Bubley, a Senior Product Manager at The Zebra, will share her experience working with Optimizely’s feature tests to create a results page where users can compare multiple auto insurance options driven by actual user needs, as well as her experience customizing the experience based on device platform.
Kick Your Assumptions: How Scholl's Test-Everything Culture Drives RevenueOptimizely
Amy Vetter, Consumer Experience Manager, Direct To Consumer, Europe, will walk you through some of the tests that she and her team run across the Scholl brand. Amy will highlight surprise learnings and how to remove the fear of failing. The team is empowered to test everything possible that will allow the customer to get the best experience and also support the brand’s goal for more revenue and customer data.
Shipping to Learn and Accelerate Growth with GitHubOptimizely
Will 2020 mark the shift to a remote-first world in the long run? For GitHub, a distributed workforce is nothing new. Join Sha Ma, VP of Engineering, and Gregory Ceccarelli, Director of Data Science, to learn how they built and scaled a successful experimentation program. They'll share their experience implementing Optimizely across timezones, a remote workforce, and a new business model.
In this session, you'll learn how to:
Optimize UX for a freemium business model
Use data to deliver customer-centered products
Scale experimentation and accelerate growth
In this session, you will learn: how to embed feature flagging sitewide to deliver safer, faster releases, best practices for implementing feature flags in a services-oriented architecture, and the latest enhancements you need to help your team recover faster when ship happens.
Newly appointed Optimizely CTO, Lawrence Bruhmuller, will kick off Developer Summit discussing the new normals in software development. After decades of leading and scaling engineering teams for high growth startups and large tech companies, Lawrence has seen the same problems crop up repeatedly for technical teams. There is a new way of delivering software that makes it possible to move fast and get it right. That new way is Progressive Delivery & Experimentation. When Progressive Delivery & Experimentation are used together, you have an efficient system for validating both quality and customer engagement across your development lifecycle. Lawrence will discuss the key principles driving software development innovation, how our engineering team puts this into practice, and the success he’s seen at other companies.
Practical Use Case: How Dosh Uses Feature Experiments To Accelerate Mobile De...Optimizely
Engineering organizations at companies know to anticipate bugs when they are about to launch a new product but, what tools can they use to reduce the blast radius and mitigate potential risks? Now, companies are thinking about preventative methods and safeguards they can put in place to make sure they deliver frictionless experiences to their customers with measurable results. In this session, you'll learn how to use feature flags and experiments across your stack (including mobile apps) to safely release meaningful features to your customers.
Run High Impact Experimentation with High-quality Customer DiscoveryOptimizely
Developing a robust A/B/n testing program is critical for every product organization. But there is not a one size fits all approach. Your program must be tailored to your business and audience to be successful. Join Oji Udezue, VP of Product at Calendly, who will share how to craft high-impact customer insights and product experiments, tailored for your company. Oji will draw insights from 20+ years of Product Management at companies like Microsoft and Atlassian and discuss the importance of using qualitative methods to help develop smarter hypotheses with the right tools and practices for your organization.
In this session you will learn:
- Why a strong experimentation culture is important for your product organization
- Proven ways to execute high-impact A/B/n tests with high-quality customer discovery
- The importance of conducting interviews with successful and unsuccessful customers and how to see through your customer’s eyes with live watching techniques
Using Empathy to Build Custom Solutions at ScaleOptimizely
Segment supports a huge ecosystem of partners and platforms, but there are always requests for more customizable options. What if, instead of answering each custom request, we empower customers and partners to build exactly what they’re looking for? Join Product Manager Andy Yeo as he discusses the ideas, conversations, testing, and validation that brought their latest product release—Functions—to life.
When you attend this webinar, you will:
- Learn how product teams go from customer feedback to shipping features
- Walk away with tactics for testing and iterating to launch features that solve customer needs
- Hear an exclusive preview of an upcoming product launch at Segment
How to find data insights that will drive a 10X impact Optimizely
Your product is the most important influence on your user experience and lifetime value. The ability to continually learn from your product changes and maximize your outcomes is a critical indicator of driving revenue for your business. Don't be complacent with incremental changes, learn how to find insights that will drive a 10x impact for your business.
Hear from Tanner McGrath, Head of Product Analytics, and Bilal Mahmood, Head of Product from Amplitude cover:
- Using your product as the influencer for your user’s experience and lifetime value.
- Learning from your product changes and maximize your outcomes to drive revenue for your business
- Finding insights that will drive a 10x impact for your business
Targeted Rollouts: How to Release Features to Multiple AudiencesOptimizely
Targeted rollouts makes releasing features safer by providing the ability to gradually roll out a feature to multiple audiences and environments with different rollout percentages and different configuration settings. This offers more flexible ways to release features including the ability to target rollouts by audience attributes including geography and pricing tiers. In this session, you’ll learn how to use targeted rollouts in Optimizely Full Stack with practical use cases.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
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.
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
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
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
3. Housekeeping
1. We are recording this webinar
2. You’ll receive recording and slides
3. Use the question box to ask questions during
the presentation
4. We’ll answer all questions at the end
4. 76%
Customers have higher
than ever expectations.
SOURCE: IBM Institute for Business Value report
of consumers expect
organizations to understand
their individual needs
6. $127 Billion
And competitors seem to be
cropping up at every turn.
is invested globally by
VCs looking to fund
innovative companies
SOURCE: KMPG VENTURE PULSE
8. Optimizely X: Operationalize Experimentation Across
the Organization
Enable Rapid Experimentation
by Everyone
Experiment Everywhere on
Any Channel and Device
Deliver High-Performing
Personalized Experiences
Optimize Anything that
Matters to your Business
10. Demo customer
● Online apparel retailer
● Key performance indicators: conversion
rate and average order size
● Want to test visual elements as well as
core site functionality
● Need to be able to experiment across
touchpoints
11. Optimizely X Web Experimentation
Deliver great web experiences on every device
Optimizely X Web Personalization
Deliver targeted content and experiences in real time
Optimizely X Web Recommendations
Deliver recommended products and content
Optimizely X Full Stack
Democratizing the power of deep experimentation
using Python, Java, Ruby, Node and more
Optimizely X Mobile
Deliver great mobile app experiences
Optimizely X OTT
Deliver great over-the-top TV app experiences
Experimentation Platform
12. Ari Sheinkin, Vice President, Marketing Analytics, IBM
“Optimizely helps us to maintain a
rapid pace of experimentation, improves our
ability to deliver marketing driven business
results, and empowers our team to seek data and
instill scientific approaches into their work.”
112% increase in sign ups for Watson Community
Triple digit increase from the baseline resulting from average test
20X increase in number of experiments and widespread adoption
IBM transforms into a culture of experimentation
13.
14. Key takeaways
1. Optimizely X the easiest and most powerful way to
experiment
2. Experiment across all of your customer touch
points
3. Everyone in your organization can experiment
4. Customers across a variety of industries are using
Optimizely to make more data-driven decisions
15. Next steps
Learn about our plans
www.optimizely.com/plans/
Sign-up for a Free Trial
www.optimizely.com/get-started/
Join the community
www.optiverse.com
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17. Next steps
Learn about our plans
www.optimizely.com/plans/
Sign-up for a Free Trial
www.optimizely.com/get-started/
Join the community
www.optiverse.com
21 3