The document discusses analyzing competitors from a technical search engine optimization perspective. It recommends identifying 3-5 main competitors and gathering data on their page speed, indexation, structured data, CMS and other technical metrics using tools like ScreamingFrog, SEMRush and the CoreVitals spreadsheet. The analysis looks for opportunities to improve those areas, such as fixing 404 errors or adding structured data, as case studies showed such changes increased keywords in the top search results, traffic and revenue. The process involves convincing clients of the need to address issues by prioritizing the highest impact opportunities.
Technical SEO Competitive Analysis - BrightonSEO 2020Niki Mosier
Staying on top of what competitors are doing is an important part of any marketing initiative. There is a lot of valuable information we can learn about our competitors when we look at their website from a technical perspective.
Google Data Studio and SEO at #BristolSEONeil Clark
Slides from my talk on using Data Studio for SEO reporting and analysis at the #BristolSEO meet up (28/01/2020). Features various examples of how Data Studio can be used for search engine optimisation and web analytics reporting .
From the SMX West Conference in San Jose, California, March 21-23, 2017. SESSION: How To Find, Hack & Build Great AdWords Scripts. PRESENTATION: Using AdWords Scripts to Create Your Own Ad Tech Landscape - Given by Mitch Larson, @mitchperclick - AimClear, Ad Operations Lead. #SMX #32B
From the SMX West Conference in San Jose, California, March 21-23, 2017. SESSION: How To Find, Hack & Build Great AdWords Scripts. PRESENTATION: Create Powerful Custom Automations With AdWords Scripts - Given by Frederick Vallaeys, @siliconvallaeys - Optimyzer, Inc., CEO. #SMX #32B
Technical SEO Competitive Analysis - BrightonSEO 2020Niki Mosier
Staying on top of what competitors are doing is an important part of any marketing initiative. There is a lot of valuable information we can learn about our competitors when we look at their website from a technical perspective.
Google Data Studio and SEO at #BristolSEONeil Clark
Slides from my talk on using Data Studio for SEO reporting and analysis at the #BristolSEO meet up (28/01/2020). Features various examples of how Data Studio can be used for search engine optimisation and web analytics reporting .
From the SMX West Conference in San Jose, California, March 21-23, 2017. SESSION: How To Find, Hack & Build Great AdWords Scripts. PRESENTATION: Using AdWords Scripts to Create Your Own Ad Tech Landscape - Given by Mitch Larson, @mitchperclick - AimClear, Ad Operations Lead. #SMX #32B
From the SMX West Conference in San Jose, California, March 21-23, 2017. SESSION: How To Find, Hack & Build Great AdWords Scripts. PRESENTATION: Create Powerful Custom Automations With AdWords Scripts - Given by Frederick Vallaeys, @siliconvallaeys - Optimyzer, Inc., CEO. #SMX #32B
Using Spark-Solr at Scale: Productionizing Spark for Search with Apache Solr...Databricks
This talk is a case-study on how Apache Spark and the Spark-Solr library is being used at Flipp for driving search relevancy. Flipp is a Toronto based digital flyer and ecommerce company which helps shoppers save money on weekly shopping. Our customers have the option of browsing through our 5+ million products from the brick-and-mortar retailers in North America. This makes Search a very challenging function in our app. How to show the most relevant and personalized search results to users on a query?
The talk will focus on using user signals such as Click Through Rate (CTR) and Impressions to increase search relevancy. I will also talk about how PySpark is used to create the Flipp Search ETL platform for collecting user signals and reading product data from Solr. The problem scenario will be explained in which keyword search and basic relevancy algorithms become ineffective when dealing with a large product database. The solutions will cover the following implementations being used at Flipp to drive relevancy: – Utilizing user clicks and popularity data to derive and index normalized item weights to implement the Search Crowd Curation models in Apache Solr
– How around 5+ million items are classified into Google Categories in real time using Keras and Apache Spark to power product category curation in Solr.
– How to create a crowd sourced query intent categorizer in Solr using the Spark-Solr library.
– The use of offline and online metrics at Flipp for evaluating changes in search relevancy.
– Future plans for incorporating Kafka-connect in Apache Solr with structured streaming to perform real-time product indexing with Spark-Solr library.
From the SMX West Conference in San Jose, California March 21-23, 2017. SESSION: Keyword Research & Copywriting for Search Success. PRESENTATION: Electrifying Your Online Marketing Message - Given by Christine Churchill, @keyrelevance - KeyRelevance, President. #SMX #11D
Building an Enterprise Data Platform with Azure Databricks to Enable Machine ...Databricks
At Sams Club we have a long history of using Apache Spark and Hadoop. Projects from all parts of the company use Apache Spark, from fraud detection to product recommendations. Because of the scale of our business with billions of transactions and trillions of events it is often essential to use big data technologies. Until recently all of this work has run on several large on-premise Hadoop clusters. As part of our transition to public cloud we needed to build out an enterprise scale data platform. Azure Databricks is a key component of this platform giving our data scientist, engineers, and business users the ability to easily work with the companies data. We will discuss our architecture considerations that lead to using multiple Databricks workspaces and external Azure blob storage. We will also discuss how we move massive amounts of data to Azure on a daily basis with Airflow. Further we will discuss the self-service tools that we created to help users get their data to Azure and for us to manage the platform. Finally we will discuss our security considerations and how that played out in our architecture.
Authors: Andrew Ray, Craig Covey
Level Up Your Amazon OpenSearch Cluster in a Weekkreuzwerker GmbH
This webinar, will showcase the main activities and benefits of our Amazon OpenSearch Service Assessment offering. We'll take you through a real-life project where we partnered with a big MarTech player to enhance their Amazon OpenSearch solution for big data analytics while cutting over 60% of monthly costs.
---
Get in touch: opensearch@kreuzwerker.de
---
Activate 2019 - Search and relevance at scale for online classifiedsRoger Rafanell Mas
A high performing search service implies both having an effective search infrastructure and high search relevance.
Seeking for a fault tolerant, self-healing and cost-effective search infrastructure at scale, we built a platform based on Apache Solr search engine with light in-memory indexes, avoiding sharding and decreasing the overall infrastructure needs.
To populate the indexes, we use flexible ETL processes, keeping our product catalog and search indexes updated in a near real-time fashion and distributed across high-performant database engines.
We aim at getting a high search relevance precision and recall by applying query relaxation and boost solutions on top of the optimised platform.
https://www.activate-conf.com/speakers/detail/roger-rafanell
We've known for years that data-driven content was a 'thing' when we'd produce simple infographics that shared a few statistics and they'd get easy traction for us online. The game has lifted and consumers are becoming more and more obsessed with data and are now demanding higher quality and more complex data-driven content. The challenge for us now as "T-Shaped" marketers is that there are increasing demands for us to learn new skills to produce this content but we don't have the time to do this amongst the other things we need to be expert at.
This presentation is going to give you specific help on how to produce data-driven content without any programming skill. After watching this presentation you'll have the confidence to build your own data-driven content with the knowledge of:
- blueprints for data-driven content ideas
- scraping tools, frameworks and methodologies
- how to brief in a data scraping project to your in-house team or a freelancer
- how to turn your data into visually appealing content
- channels for promoting data-driven content to ensure it gets traction
In this presentation, we delve into the power of AI in revolutionizing sales and marketing, with a focus on lead generation and cost optimization. As the search landscape evolves, the future of Google driving high volumes of website traffic is uncertain with the rise of LLMs, making AI's role even more significant. While only 3.7% of Canadian businesses have deployed AI, its adoption is critical for staying competitive. We'll discuss a step-by-step approach to AI integration, highlighting essential tools and the importance of proper training. From lead processing to content creation, AI emerges as a game-changer, significantly improving efficiency and quality. The core message is clear: AI is no longer an option but a component for modern marketing success, transforming how we approach sales and marketing. By carefully planning the steps, leveraging the right tools, and investing in training, businesses can harness AI's transformative power and gain a competitive edge.
Key Takeaways:
AI changes everything. AI is revolutionizing lead generation and cost savings in sales and marketing operations.
The rise of large language models (LLMs) is challenging Google's dominance in driving website traffic, making AI adoption even more crucial.
Despite the low adoption rate (only 3.7% of Canadian businesses using AI), integrating AI is critical for staying competitive.
A step-by-step approach is needed for successful AI integration, along with leveraging the right tools and providing proper training.AI is a game-changer for lead generation, content creation, and overall process efficiency and quality improvement.AI is no longer an optional tool but a fundamental component for modern marketing success.
Careful planning, using the right AI tools, and investing in training can help businesses harness AI's transformative power and gain a competitive edge.
From the SMX West Conference in San Jose, California, March 1-3, 2016. SESSION: Essential Analytics Reports That SEOs Can't Live Without. PRESENTATION: SEO at Microsoft: "Insights Engine" - Given by Derrick Wheeler, @derrickwheeler - Microsoft, Sr Product Intelligence Manager. #SMX #31C
Massive-Scale Entity Resolution Using the Power of Apache Spark and GraphDatabricks
Spark's graph capabilities are great at enabling analysis of networks for use-cases such as fraud-detection, illicit network detection, and supply chain risk analysis. However, in order for a data scientist to perform analytics on a network (e.g., Page Rank, community detection, etc.), they end up spending all their time fighting a mountain of data integration challenges. A specific challenge this talk will focus on is connecting entities in a network within and across data domains. We will explore how you can leverage the Spark ecosystem's graph capabilities to perform massive-scale entity resolution (ER). As a result, your data scientists will be able to more quickly and effectively perform graph analytics that drive business and mission value. Key takeaways: 1) The Spark ecosystem enables you to quickly get started with graph analytics use-cases at scale 2) Complementing traditional ER techniques with the context of graph relationships allows you to connect entities that you could not easily connect before
Scaling ML-Based Threat Detection For Production Cyber AttacksDatabricks
Vulnerabilities such as Spectre and Meltdown continue to plague many production servers, based on Intel CPUs. Our solution involves software-based monitoring of hardware counters and sending that data to Apache Spark clusters for threat detection. We leverage Spark's support for support vector machine (SVM) inference. Our machine learning models are trained off-line by a data scientist within a Jupyter notebook environment. As new models are validated, they can be easily deployed to the Spark cluster from the notebook. We have standardized model export and import using the ONNX machine learning open file format. In our presentation, we will demo the full pipeline, from model training to deployment. We will discuss the various challenges when deploying ML-based cyber-threat detection at scale using Apache Spark. For example, we found that gaps in detection can occur when Spark models are updated. We will describe a novel data ingestion architecture, based on Apache Kafka, that we developed to deal with this issue.
Connecting the Dots: Integrating Apache Spark into Production PipelinesDatabricks
Have you ever struggled to smoothly integrate Spark into a production workflow? Spark is an excellent tool for processing data on the terabyte scale, but building a system to move from raw data through featurization, modeling, and prediction serving involves interacting with numerous other components. Over the past year and half my team at ShopRunner has built a production Spark workflow for data science from scratch. In this talk you'll learn about the tools we use, the challenges we encountered, an open-source library we wrote to work through them, and how you can avoid the detours we took along the way. Data science work often begins in an interactive notebook environment, exploring data and testing out different modeling approaches. However, moving towards a production environment means building reproducible workflows, packaging libraries, setting up scheduling and monitoring of jobs, and figuring out ways to serve results to clients in real time. After testing out a variety of tools, we at ShopRunner have settled on a stack including Databricks, Snowflake, Datadog, Jenkins, and S3, ECS, and RDS from the suite of AWS services. These tools each offer unique benefits for their area of focus, but crafting a cohesive pipeline from this range of tools presented a challenge. Come learn how to integrate a Spark workflow into a pipeline that analyzes many terabytes of data, builds machine learning models at scale, and serves predictions to a variety of customer-facing tools. Whether you're just getting started using Spark in productions systems or you already have Spark running in production and want to smooth the process, this talk will leave you better equipped to find and connect the tools that suit your needs.
Moneyball: Using Advanced Account Insights for Effective ABM ActivationEngagio
A winning marketing team does its research and crafts a compelling gameplan to maximize at bats with their most important accounts. Figure out how your team can get the inside scoop within accounts so you can hit it out of the park with your ABM efforts.
Join TechTarget, Engagio and special guest Beth McCullough from WhiteHat Security on 8/10 as we share how to develop & activate account insights to drive deep digital consideration and sales enablement.
You’ll discover:
How to drive net new revenue streams with effective insights to target the right accounts and prospects
How to design your batting order: The most valuable insights for prioritizing account engagement strategy
How to read the right signals: Optimize efforts by monitoring and leveraging behavioral & intent insight
Examples of how to execute full-funnel account-based marketing from data to activation to account engagement
And more
The Science of Software Developing Data-Driven Product Roadmaps (ProductCamp ...ProductCamp Boston
Data is used throughout organizations to help make educated decisions, but why does data seem to fall short when it comes to measuring how your product is actually used after the download?
Keith Fenech, Co-Founder of Trackerbird Software Analytics, a V.i. Labs company, will discuss practical tips and tools for measuring end-user application usage, and how you can leverage this data to define and hone your product roadmap.
In this session you will learn:
•Methods for collecting software usage data
•Which actionable metrics you should focus on when measuring application usage
•How this data can help you build better products and convert more users to paying customers
About Keith Fenech
Keith is the Co-Founder of Trackerbird Software Analytics, a V.i. Labs company. Trackerbird provides valuable insight into product runtime and customer usage patterns giving product management the intelligence to make data-driven decisions about their product roadmaps.
Prior to founding Trackerbird, Keith held senior product roles at GFI Software and Yellowbit. Keith has a Masters in Computer Science from the University of Malta.
He founded and manages the Product Management group on LinkedIn consisting of over 81,000 members.
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp
ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET
In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET
Using Spark-Solr at Scale: Productionizing Spark for Search with Apache Solr...Databricks
This talk is a case-study on how Apache Spark and the Spark-Solr library is being used at Flipp for driving search relevancy. Flipp is a Toronto based digital flyer and ecommerce company which helps shoppers save money on weekly shopping. Our customers have the option of browsing through our 5+ million products from the brick-and-mortar retailers in North America. This makes Search a very challenging function in our app. How to show the most relevant and personalized search results to users on a query?
The talk will focus on using user signals such as Click Through Rate (CTR) and Impressions to increase search relevancy. I will also talk about how PySpark is used to create the Flipp Search ETL platform for collecting user signals and reading product data from Solr. The problem scenario will be explained in which keyword search and basic relevancy algorithms become ineffective when dealing with a large product database. The solutions will cover the following implementations being used at Flipp to drive relevancy: – Utilizing user clicks and popularity data to derive and index normalized item weights to implement the Search Crowd Curation models in Apache Solr
– How around 5+ million items are classified into Google Categories in real time using Keras and Apache Spark to power product category curation in Solr.
– How to create a crowd sourced query intent categorizer in Solr using the Spark-Solr library.
– The use of offline and online metrics at Flipp for evaluating changes in search relevancy.
– Future plans for incorporating Kafka-connect in Apache Solr with structured streaming to perform real-time product indexing with Spark-Solr library.
From the SMX West Conference in San Jose, California March 21-23, 2017. SESSION: Keyword Research & Copywriting for Search Success. PRESENTATION: Electrifying Your Online Marketing Message - Given by Christine Churchill, @keyrelevance - KeyRelevance, President. #SMX #11D
Building an Enterprise Data Platform with Azure Databricks to Enable Machine ...Databricks
At Sams Club we have a long history of using Apache Spark and Hadoop. Projects from all parts of the company use Apache Spark, from fraud detection to product recommendations. Because of the scale of our business with billions of transactions and trillions of events it is often essential to use big data technologies. Until recently all of this work has run on several large on-premise Hadoop clusters. As part of our transition to public cloud we needed to build out an enterprise scale data platform. Azure Databricks is a key component of this platform giving our data scientist, engineers, and business users the ability to easily work with the companies data. We will discuss our architecture considerations that lead to using multiple Databricks workspaces and external Azure blob storage. We will also discuss how we move massive amounts of data to Azure on a daily basis with Airflow. Further we will discuss the self-service tools that we created to help users get their data to Azure and for us to manage the platform. Finally we will discuss our security considerations and how that played out in our architecture.
Authors: Andrew Ray, Craig Covey
Level Up Your Amazon OpenSearch Cluster in a Weekkreuzwerker GmbH
This webinar, will showcase the main activities and benefits of our Amazon OpenSearch Service Assessment offering. We'll take you through a real-life project where we partnered with a big MarTech player to enhance their Amazon OpenSearch solution for big data analytics while cutting over 60% of monthly costs.
---
Get in touch: opensearch@kreuzwerker.de
---
Activate 2019 - Search and relevance at scale for online classifiedsRoger Rafanell Mas
A high performing search service implies both having an effective search infrastructure and high search relevance.
Seeking for a fault tolerant, self-healing and cost-effective search infrastructure at scale, we built a platform based on Apache Solr search engine with light in-memory indexes, avoiding sharding and decreasing the overall infrastructure needs.
To populate the indexes, we use flexible ETL processes, keeping our product catalog and search indexes updated in a near real-time fashion and distributed across high-performant database engines.
We aim at getting a high search relevance precision and recall by applying query relaxation and boost solutions on top of the optimised platform.
https://www.activate-conf.com/speakers/detail/roger-rafanell
We've known for years that data-driven content was a 'thing' when we'd produce simple infographics that shared a few statistics and they'd get easy traction for us online. The game has lifted and consumers are becoming more and more obsessed with data and are now demanding higher quality and more complex data-driven content. The challenge for us now as "T-Shaped" marketers is that there are increasing demands for us to learn new skills to produce this content but we don't have the time to do this amongst the other things we need to be expert at.
This presentation is going to give you specific help on how to produce data-driven content without any programming skill. After watching this presentation you'll have the confidence to build your own data-driven content with the knowledge of:
- blueprints for data-driven content ideas
- scraping tools, frameworks and methodologies
- how to brief in a data scraping project to your in-house team or a freelancer
- how to turn your data into visually appealing content
- channels for promoting data-driven content to ensure it gets traction
In this presentation, we delve into the power of AI in revolutionizing sales and marketing, with a focus on lead generation and cost optimization. As the search landscape evolves, the future of Google driving high volumes of website traffic is uncertain with the rise of LLMs, making AI's role even more significant. While only 3.7% of Canadian businesses have deployed AI, its adoption is critical for staying competitive. We'll discuss a step-by-step approach to AI integration, highlighting essential tools and the importance of proper training. From lead processing to content creation, AI emerges as a game-changer, significantly improving efficiency and quality. The core message is clear: AI is no longer an option but a component for modern marketing success, transforming how we approach sales and marketing. By carefully planning the steps, leveraging the right tools, and investing in training, businesses can harness AI's transformative power and gain a competitive edge.
Key Takeaways:
AI changes everything. AI is revolutionizing lead generation and cost savings in sales and marketing operations.
The rise of large language models (LLMs) is challenging Google's dominance in driving website traffic, making AI adoption even more crucial.
Despite the low adoption rate (only 3.7% of Canadian businesses using AI), integrating AI is critical for staying competitive.
A step-by-step approach is needed for successful AI integration, along with leveraging the right tools and providing proper training.AI is a game-changer for lead generation, content creation, and overall process efficiency and quality improvement.AI is no longer an optional tool but a fundamental component for modern marketing success.
Careful planning, using the right AI tools, and investing in training can help businesses harness AI's transformative power and gain a competitive edge.
From the SMX West Conference in San Jose, California, March 1-3, 2016. SESSION: Essential Analytics Reports That SEOs Can't Live Without. PRESENTATION: SEO at Microsoft: "Insights Engine" - Given by Derrick Wheeler, @derrickwheeler - Microsoft, Sr Product Intelligence Manager. #SMX #31C
Massive-Scale Entity Resolution Using the Power of Apache Spark and GraphDatabricks
Spark's graph capabilities are great at enabling analysis of networks for use-cases such as fraud-detection, illicit network detection, and supply chain risk analysis. However, in order for a data scientist to perform analytics on a network (e.g., Page Rank, community detection, etc.), they end up spending all their time fighting a mountain of data integration challenges. A specific challenge this talk will focus on is connecting entities in a network within and across data domains. We will explore how you can leverage the Spark ecosystem's graph capabilities to perform massive-scale entity resolution (ER). As a result, your data scientists will be able to more quickly and effectively perform graph analytics that drive business and mission value. Key takeaways: 1) The Spark ecosystem enables you to quickly get started with graph analytics use-cases at scale 2) Complementing traditional ER techniques with the context of graph relationships allows you to connect entities that you could not easily connect before
Scaling ML-Based Threat Detection For Production Cyber AttacksDatabricks
Vulnerabilities such as Spectre and Meltdown continue to plague many production servers, based on Intel CPUs. Our solution involves software-based monitoring of hardware counters and sending that data to Apache Spark clusters for threat detection. We leverage Spark's support for support vector machine (SVM) inference. Our machine learning models are trained off-line by a data scientist within a Jupyter notebook environment. As new models are validated, they can be easily deployed to the Spark cluster from the notebook. We have standardized model export and import using the ONNX machine learning open file format. In our presentation, we will demo the full pipeline, from model training to deployment. We will discuss the various challenges when deploying ML-based cyber-threat detection at scale using Apache Spark. For example, we found that gaps in detection can occur when Spark models are updated. We will describe a novel data ingestion architecture, based on Apache Kafka, that we developed to deal with this issue.
Connecting the Dots: Integrating Apache Spark into Production PipelinesDatabricks
Have you ever struggled to smoothly integrate Spark into a production workflow? Spark is an excellent tool for processing data on the terabyte scale, but building a system to move from raw data through featurization, modeling, and prediction serving involves interacting with numerous other components. Over the past year and half my team at ShopRunner has built a production Spark workflow for data science from scratch. In this talk you'll learn about the tools we use, the challenges we encountered, an open-source library we wrote to work through them, and how you can avoid the detours we took along the way. Data science work often begins in an interactive notebook environment, exploring data and testing out different modeling approaches. However, moving towards a production environment means building reproducible workflows, packaging libraries, setting up scheduling and monitoring of jobs, and figuring out ways to serve results to clients in real time. After testing out a variety of tools, we at ShopRunner have settled on a stack including Databricks, Snowflake, Datadog, Jenkins, and S3, ECS, and RDS from the suite of AWS services. These tools each offer unique benefits for their area of focus, but crafting a cohesive pipeline from this range of tools presented a challenge. Come learn how to integrate a Spark workflow into a pipeline that analyzes many terabytes of data, builds machine learning models at scale, and serves predictions to a variety of customer-facing tools. Whether you're just getting started using Spark in productions systems or you already have Spark running in production and want to smooth the process, this talk will leave you better equipped to find and connect the tools that suit your needs.
Moneyball: Using Advanced Account Insights for Effective ABM ActivationEngagio
A winning marketing team does its research and crafts a compelling gameplan to maximize at bats with their most important accounts. Figure out how your team can get the inside scoop within accounts so you can hit it out of the park with your ABM efforts.
Join TechTarget, Engagio and special guest Beth McCullough from WhiteHat Security on 8/10 as we share how to develop & activate account insights to drive deep digital consideration and sales enablement.
You’ll discover:
How to drive net new revenue streams with effective insights to target the right accounts and prospects
How to design your batting order: The most valuable insights for prioritizing account engagement strategy
How to read the right signals: Optimize efforts by monitoring and leveraging behavioral & intent insight
Examples of how to execute full-funnel account-based marketing from data to activation to account engagement
And more
The Science of Software Developing Data-Driven Product Roadmaps (ProductCamp ...ProductCamp Boston
Data is used throughout organizations to help make educated decisions, but why does data seem to fall short when it comes to measuring how your product is actually used after the download?
Keith Fenech, Co-Founder of Trackerbird Software Analytics, a V.i. Labs company, will discuss practical tips and tools for measuring end-user application usage, and how you can leverage this data to define and hone your product roadmap.
In this session you will learn:
•Methods for collecting software usage data
•Which actionable metrics you should focus on when measuring application usage
•How this data can help you build better products and convert more users to paying customers
About Keith Fenech
Keith is the Co-Founder of Trackerbird Software Analytics, a V.i. Labs company. Trackerbird provides valuable insight into product runtime and customer usage patterns giving product management the intelligence to make data-driven decisions about their product roadmaps.
Prior to founding Trackerbird, Keith held senior product roles at GFI Software and Yellowbit. Keith has a Masters in Computer Science from the University of Malta.
He founded and manages the Product Management group on LinkedIn consisting of over 81,000 members.
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp
ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET
In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
SEO as the Backbone of Digital MarketingFelipe Bazon
In this talk Felipe Bazon will share how him and his team at Hedgehog Digital share our journey of making C-Levels alike, specially CMOS realize that SEO is the backbone of digital marketing by showing how SEO can contribute to brand awareness, reputation and authority and above all how to use SEO to create more robust global marketing strategies.
5 big bets to drive growth in 2024 without one additional marketing dollar AND how to adapt to the biggest shifting eCommerce trend- AI.
1) Romance Your Customers - Retention
2) ‘Alternative’ Lead Gen - Advocacy
3) The Beautiful Basics - Conversion Rate Optimization
4) Land that Bottom Line - Profitability
5) Roll the Dice - New Business Models
The session includes a brief history of the evolution of search before diving into the roles technology, content, and links play in developing a powerful SEO strategy in a world of Generative AI and social search. Discover how to optimize for TikTok searches, Google's Gemini, and Search Generative Experience while developing a powerful arsenal of tools and templates to help maximize the effectiveness of your SEO initiatives.
Key Takeaways:
Understand how search engines work
Be able to find out where your users search
Know what is required for each discipline of SEO
Feel confident creating an SEO Plan
Confidently measure SEO performance
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
The Forgotten Secret Weapon of Digital Marketing: Email
Digital marketing is a rapidly changing, ever evolving industry--Influencers, Threads, X, AI, etc. But one of the most effective digital marketing tools is also one of the oldest: Email. Find out from two Houston-based digital experts how to maximize your results from email.
Key Takeaways:
Email has the best ROI of any digital tactic
It can be used at any stage of the customer journey
It is increasingly important as the cookie-less future gets closer and closer
Financial curveballs sent many American families reeling in 2023. Household budgets were squeezed by rising interest rates, surging prices on everyday goods, and a stagnating housing market. Consumers were feeling strapped. That sentiment, however, appears to be waning. The question is, to what extent?
To take the pulse of consumers’ feelings about their financial well-being ahead of a highly anticipated election, ThinkNow conducted a nationally representative quantitative survey. The survey highlights consumers’ hopes and anxieties as we move into 2024. Let's unpack the key findings to gain insights about where we stand.
Everyone knows the power of stories, but when asked to come up with them, we struggle. Either we second guess ourselves as to the story's relevance, or we just come up blank and can't think of any. Unlocking Everyday Narratives: The Power of Storytelling in Marketing will teach you how to recognize stories in the moment and to recall forgotten moments that your audience needs to hear.
Key Takeaways:
Understand Why Personal Stories Connect Better
How To Remember Forgotten Stories
How To Use Customer Experiences As Stories For Your Brand
Come learn how YOU can Animate and Illuminate the World with Generative AI's Explosive Power. Come sit in the driver's seat and learn to harness this great technology.
Monthly Social Media News Update May 2024Andy Lambert
TL;DR. These are the three themes that stood out to us over the course of last month.
1️⃣ Social media is becoming increasingly significant for brand discovery. Marketers are now understanding the impact of social and budgets are shifting accordingly.
2️⃣ Instagram’s new algorithm and latest guidance will help us maintain organic growth. Instagram continues to evolve, but Reels remains the most crucial tool for growth.
3️⃣ Collaboration will help us unlock growth. Who we work with will define how fast we grow. Meta continues to evolve their Creator Marketplace and now TikTok are beginning to push ‘collabs’ more too.
39. Most recently, Google has partnered with
open-source content management system (CMS)
WordPress, arguably the largest, with market share
nearing 59 percent and an estimated 1/3 of all web
content published through the platform
Source: Search Engine Land
@nikers85 #SearchCon
49. RECAP
Why
○ Client isn’t
implementing
○ Drop in organic
traffic
○ Decreased SERP
visibility
Process
○ Identify competitors
○ Gather data
○ Identify opportunities
@nikers85 #SearchCon
50. RECAP
Why
○ Client isn’t
implementing
○ Drop in organic
traffic
○ Decreased SERP
visibility
Process
○ Identify competitors
○ Gather data
○ Identify opportunities
Convince the Client
○ Approach the right
person
○ Prioritize
opportunities
@nikers85 #SearchCon
51. “The best place to bury a dead body is page 2 of
Google Search Results.
- Michael Corleone