The document discusses how algorithms and big data are used to make predictions and recommendations. It provides examples of how data from sources like web searches, product sales, weather, and traffic can be analyzed to predict things like the spread of disease or demand during emergencies. Examples also discuss how insurance companies and Netflix use data to personalize services and recommendations. The document advocates for the benefits of algorithms and automation over human labor, noting that computers can process more data faster and without fatigue compared to people. It concludes with tips on how to create your own algorithm by defining the problem, outlining the manual process, and then automating it with a computer program.
Keynote Presentation SAP Insider 2013 - SingaporeKurt J. Bilafer
This was a brief keynote presentation highlighting what business users (information consumers) are expecting from Analytics. I also have a few slides on how easy it is to share with SAP's broad ecosystem to help close the skills gap.
There’s no doubt that programmatic is the future, but how can data-driven marketers keep up with the influx of information? What’s the value in real-time buying and selling when you can’t track your data at the same speed? In this coffee talk, learn how to make closing the programmatic loop a reality with automated reporting and insights.
Presenter:
Sara Shulman, Sales Director, Datorama
Are we seeing the end of the physical retailer? It seems like every day another store closes its doors, and sales per square foot are declining. But then, Amazon decides to up and buy the Whole Foods grocery chain. No, the physical retailer isn't gone – it's evolving. In this deck, you'll get perspectives from industry observers and practitioners to help you craft an effective retail strategy.
To learn more, visit: https://hybris.com/en/solutions/industries/retail
Discover the keys to simplified, scalable implementation and tagging on both web and mobile.
Webinar host: Florian Rieupet, Data collection specialist at AT Internet.
This webinar will cover:
- Overview of SmartTag and Data Manager
- Who should use them
- What you can do with them
- Demo & tips for using these tools
- Specific use cases
Keynote Presentation SAP Insider 2013 - SingaporeKurt J. Bilafer
This was a brief keynote presentation highlighting what business users (information consumers) are expecting from Analytics. I also have a few slides on how easy it is to share with SAP's broad ecosystem to help close the skills gap.
There’s no doubt that programmatic is the future, but how can data-driven marketers keep up with the influx of information? What’s the value in real-time buying and selling when you can’t track your data at the same speed? In this coffee talk, learn how to make closing the programmatic loop a reality with automated reporting and insights.
Presenter:
Sara Shulman, Sales Director, Datorama
Are we seeing the end of the physical retailer? It seems like every day another store closes its doors, and sales per square foot are declining. But then, Amazon decides to up and buy the Whole Foods grocery chain. No, the physical retailer isn't gone – it's evolving. In this deck, you'll get perspectives from industry observers and practitioners to help you craft an effective retail strategy.
To learn more, visit: https://hybris.com/en/solutions/industries/retail
Discover the keys to simplified, scalable implementation and tagging on both web and mobile.
Webinar host: Florian Rieupet, Data collection specialist at AT Internet.
This webinar will cover:
- Overview of SmartTag and Data Manager
- Who should use them
- What you can do with them
- Demo & tips for using these tools
- Specific use cases
To The Point: Artificial Intelligence - Facts vs Mythspuronku
Julianna Ormond and RC Williams tear down the barriers with this groundbreaking presentation.
Designed to spur conversation and thought, Ormond and Williams are available to present this presentation to your business, executive team, or group.
Please contact us at rcwmap@gmail.com for booking and details.
Wolfgang Essentials 2017 - The Twin Tech Earthquakes of 2016Wolfgang Digital
Wolfgang Digital held their annual digital marketing conference in the Google Foundry on June 16th 2017. Al, Rob and Zoran spoke about the twin tech earthquakes of 2016.
Digital Futures Webinar with Amaze CSO Rick Curtis Jan 2014amazeplc
Amaze's Chief Strategy Officer, Rick Curtis gives his thoughts on what will be hot in digital over the next 24 months and beyond. Rick discussed the following areas:
• The trends that will change the way businesses function and how we live our lives through 2014 and beyond
• What businesses should be thinking about as they compete in the continually evolving technological landscape
• What businesses need to be doing in order to remain competitive in a future being driven by Connectivity, Context and Collaboration.
To view a recording of this webinar, please click here:
https://vimeo.com/amazeplc/review/83694979/18dc31fd96
How to Successfully Apply Data & AI in the Marketing Value Chain. In this session Artefact will be starting with the role of data in the current world and what it has lead to currently: Where are we with Data & Artificial Intelligence? the future is definitely here. We will make it concrete and explore where to apply Data & AI in digital marketing? What can AI do and what can't it do (yet)?Possible areas are automation, optimization and more. Artefact will make it practical to conclude and explain what using Data & AI means practically for Digital Marketing? What are the actionable next steps in Planning, setup/workflow, getting control and creative.
Big data is a big deal, especially when trying to justify marketing spend. But for lots of marketers, breaking down data and understanding how to execute campaigns based on this information is still confusing. Blue Compass will help you crack the code on big data to help you engage better with your audience and increase your bottom line!
Cognitive Content Marketing: The Path to a More (Artificially) Intelligent Fu...PR 20/20
[Presented at Intelligent Content Conference 2017] Consider how much time your team spends discovering keywords; planning blog post topics; writing, optimizing, personalizing and automating content; testing landing pages; scheduling social shares; reviewing analytics and defining content strategies. Now imagine if a machine performed the majority of those activities and a marketer's primary role was to enhance rather than create.
Machines are not going to replace content marketers in the near term, but artificial intelligence is accelerating us toward a more intelligently automated future. Come explore the present and future potential of artificial intelligence, and discover AI-powered technologies that can drive marketing performance and transform your career.
* Understand what the disruption of other industries can teach us about the inevitable impact artificial intelligence will have on the marketing industry.
* Learn about the marketing technology companies that are leading the way in advanced automation, predictive analytics and machine-generated content.
* Apply new technologies and processes to make your content marketing more efficient and effective.
Google: what characterises our world today?valantic NL
Tijdens zijn presentatie vertelde Haris Zisimopoulos van Google alles over de trends op het gebied van mobiele conversie en waarom een mobiele strategie zo belangrijk is. Hij vertelde dit aan de hand van verschillende voorbeelden.
Marketing in the Machine Age: The Path to a More (Artificially) Intelligent F...PR 20/20
Presented at Emarsys Evolution, Aug. 3, 2017
Consider how much time your team spends reviewing marketing analytics, generating data-driven insights and recommendations, and devising intelligent strategies. Now imagine if a machine performed the majority of those activities and a marketer's primary role was to enhance rather than create.
Machines are not going to replace marketers in the near term, but artificial intelligence is accelerating us toward a more intelligently automated future. Come explore the present and future potential of artificial intelligence, and discover AI-powered technologies that can drive marketing performance and transform your career.
* Understand what the disruption of other industries can teach us about the inevitable impact artificial intelligence will have on the marketing industry.
* Learn about the marketing technology companies that are leading the way in advanced automation, predictive analytics and machine-generated content.
* Apply new technologies and processes to make your content marketing more efficient and effective.
See video at: https://youtu.be/uARojvped18
Winners and Losers in the Age of Automation
The so-called Fourth Industrial Revolution is upon us. Computers make decisions on their own and their logic now evolves and improves without human intervention. Robots operate independently. Our homes and cars and cities are increasingly connected and automated. The definition of “reality” blurs when we add the suffixes “virtual” or ‘augmented.”
If you think technology-driven change has been dramatic over the past decade, just wait. Essential foundations have been laid in computing speed, data science and storage, wireless connectivity, material science, and robotics that presage exponentially more and faster change, from artificial intelligence and machine learning to connected homes and cities, to on-demand manufacturing.
In this wide-ranging and provocative talk, punctuated with videos and demos, Mark provides an overview of the current and impending wave of massive change, including implications for individuals, businesses, entire sectors, and even countries and regions.
For groups interested in diving deeper into this topic, Mark leads a workshop building on the information and concepts introduced in this talk, connecting emerging technologies and sectors with specific implications for ourselves, our businesses, and our sectors. From augmented reality to artificial intelligence to 3D printing, workshop participants investigate these areas in greater detail and develop game plans to be more proactive in the face of accelerating change, threats, and opportunities.
Which SEO techniques will become more important in 2016? This presentation by Steve Masters of Vertical Leap to the Smart Insights Digital Marketing Priorities Summit discusses how data analysis technique and new algorithmic techniques will be used to improve organic search visibility.
Origins of the Marketing Intelligence Engine (SXSW 2015)PR 20/20
Marketing automation platforms save time, improve efficiency and increase productivity. They give companies an unprecedented ability to understand buyers, identify opportunities, track campaign performance and link marketing activities to business outcomes.
But, they do not provide insight into the billions of bits of data being created as consumers move from screen to screen and interact online and offline with brands, and they do not recommend actions to improve performance.
Humans are limited by their biases, beliefs, education, experiences, knowledge and brainpower. All of these things contribute to our finite ability to process information, build strategies and achieve performance potential.
Algorithms, in contrast, have an almost infinite ability to process information. They possess the power to understand natural language queries, identify patterns and anomalies, and parse massive data sets to deliver recommendations better, faster and cheaper than people can.
What inevitably comes next are marketing intelligence engines that process data and recommend actions to improve performance based on probabilities of success.
To The Point: Artificial Intelligence - Facts vs Mythspuronku
Julianna Ormond and RC Williams tear down the barriers with this groundbreaking presentation.
Designed to spur conversation and thought, Ormond and Williams are available to present this presentation to your business, executive team, or group.
Please contact us at rcwmap@gmail.com for booking and details.
Wolfgang Essentials 2017 - The Twin Tech Earthquakes of 2016Wolfgang Digital
Wolfgang Digital held their annual digital marketing conference in the Google Foundry on June 16th 2017. Al, Rob and Zoran spoke about the twin tech earthquakes of 2016.
Digital Futures Webinar with Amaze CSO Rick Curtis Jan 2014amazeplc
Amaze's Chief Strategy Officer, Rick Curtis gives his thoughts on what will be hot in digital over the next 24 months and beyond. Rick discussed the following areas:
• The trends that will change the way businesses function and how we live our lives through 2014 and beyond
• What businesses should be thinking about as they compete in the continually evolving technological landscape
• What businesses need to be doing in order to remain competitive in a future being driven by Connectivity, Context and Collaboration.
To view a recording of this webinar, please click here:
https://vimeo.com/amazeplc/review/83694979/18dc31fd96
How to Successfully Apply Data & AI in the Marketing Value Chain. In this session Artefact will be starting with the role of data in the current world and what it has lead to currently: Where are we with Data & Artificial Intelligence? the future is definitely here. We will make it concrete and explore where to apply Data & AI in digital marketing? What can AI do and what can't it do (yet)?Possible areas are automation, optimization and more. Artefact will make it practical to conclude and explain what using Data & AI means practically for Digital Marketing? What are the actionable next steps in Planning, setup/workflow, getting control and creative.
Big data is a big deal, especially when trying to justify marketing spend. But for lots of marketers, breaking down data and understanding how to execute campaigns based on this information is still confusing. Blue Compass will help you crack the code on big data to help you engage better with your audience and increase your bottom line!
Cognitive Content Marketing: The Path to a More (Artificially) Intelligent Fu...PR 20/20
[Presented at Intelligent Content Conference 2017] Consider how much time your team spends discovering keywords; planning blog post topics; writing, optimizing, personalizing and automating content; testing landing pages; scheduling social shares; reviewing analytics and defining content strategies. Now imagine if a machine performed the majority of those activities and a marketer's primary role was to enhance rather than create.
Machines are not going to replace content marketers in the near term, but artificial intelligence is accelerating us toward a more intelligently automated future. Come explore the present and future potential of artificial intelligence, and discover AI-powered technologies that can drive marketing performance and transform your career.
* Understand what the disruption of other industries can teach us about the inevitable impact artificial intelligence will have on the marketing industry.
* Learn about the marketing technology companies that are leading the way in advanced automation, predictive analytics and machine-generated content.
* Apply new technologies and processes to make your content marketing more efficient and effective.
Google: what characterises our world today?valantic NL
Tijdens zijn presentatie vertelde Haris Zisimopoulos van Google alles over de trends op het gebied van mobiele conversie en waarom een mobiele strategie zo belangrijk is. Hij vertelde dit aan de hand van verschillende voorbeelden.
Marketing in the Machine Age: The Path to a More (Artificially) Intelligent F...PR 20/20
Presented at Emarsys Evolution, Aug. 3, 2017
Consider how much time your team spends reviewing marketing analytics, generating data-driven insights and recommendations, and devising intelligent strategies. Now imagine if a machine performed the majority of those activities and a marketer's primary role was to enhance rather than create.
Machines are not going to replace marketers in the near term, but artificial intelligence is accelerating us toward a more intelligently automated future. Come explore the present and future potential of artificial intelligence, and discover AI-powered technologies that can drive marketing performance and transform your career.
* Understand what the disruption of other industries can teach us about the inevitable impact artificial intelligence will have on the marketing industry.
* Learn about the marketing technology companies that are leading the way in advanced automation, predictive analytics and machine-generated content.
* Apply new technologies and processes to make your content marketing more efficient and effective.
See video at: https://youtu.be/uARojvped18
Winners and Losers in the Age of Automation
The so-called Fourth Industrial Revolution is upon us. Computers make decisions on their own and their logic now evolves and improves without human intervention. Robots operate independently. Our homes and cars and cities are increasingly connected and automated. The definition of “reality” blurs when we add the suffixes “virtual” or ‘augmented.”
If you think technology-driven change has been dramatic over the past decade, just wait. Essential foundations have been laid in computing speed, data science and storage, wireless connectivity, material science, and robotics that presage exponentially more and faster change, from artificial intelligence and machine learning to connected homes and cities, to on-demand manufacturing.
In this wide-ranging and provocative talk, punctuated with videos and demos, Mark provides an overview of the current and impending wave of massive change, including implications for individuals, businesses, entire sectors, and even countries and regions.
For groups interested in diving deeper into this topic, Mark leads a workshop building on the information and concepts introduced in this talk, connecting emerging technologies and sectors with specific implications for ourselves, our businesses, and our sectors. From augmented reality to artificial intelligence to 3D printing, workshop participants investigate these areas in greater detail and develop game plans to be more proactive in the face of accelerating change, threats, and opportunities.
Which SEO techniques will become more important in 2016? This presentation by Steve Masters of Vertical Leap to the Smart Insights Digital Marketing Priorities Summit discusses how data analysis technique and new algorithmic techniques will be used to improve organic search visibility.
Origins of the Marketing Intelligence Engine (SXSW 2015)PR 20/20
Marketing automation platforms save time, improve efficiency and increase productivity. They give companies an unprecedented ability to understand buyers, identify opportunities, track campaign performance and link marketing activities to business outcomes.
But, they do not provide insight into the billions of bits of data being created as consumers move from screen to screen and interact online and offline with brands, and they do not recommend actions to improve performance.
Humans are limited by their biases, beliefs, education, experiences, knowledge and brainpower. All of these things contribute to our finite ability to process information, build strategies and achieve performance potential.
Algorithms, in contrast, have an almost infinite ability to process information. They possess the power to understand natural language queries, identify patterns and anomalies, and parse massive data sets to deliver recommendations better, faster and cheaper than people can.
What inevitably comes next are marketing intelligence engines that process data and recommend actions to improve performance based on probabilities of success.
Big Data vs. Smart Data, disrupción en marketing y relaciones marca - consumi...d2i institute panama
BIG DATA VS SMART DATA. DISRUPCIÓN EN MARKETING Y RELACIONES MARCA - CONSUMIDOR. TECHDAY PANAMÁ 2015. IT NOW, GRUPO CERCA
Megapolis Convention Center
Panamá, 28 mayo 2015
Save Your Sanity (And Your Job!) With PPC Report Automation - Arianne Donoghu...Arianne Donoghue
Running reports uses up huge amounts of our time - unfortunately it's something machines can do better and faster than us! We should be spending our time on writing commentary, digging into the insights and working on actions. So how can you start automating reports?
In this session you'll discover tools and tips to help you regardless of your workflow - whether you use Excel, Google Sheets or a data visualisation tool such as Google Data Studio. To show you how easy these tools are to use, Arianne will take you through a demonstration of how to use Microsoft's Power BI.
Similar to Why algorithms are your future and how you can create one (20)
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
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.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
[Google March 2024 Update] How To Thrive: Content, Link Building & SEOSearch Engine Journal
March 2024 disrupted the SEO industry. Websites were deindexed, and manual penalties were delivered—all to produce more helpful, more trustworthy search results.
How did your website fare?
Watch us as we delve into the seismic shifts brought about by Google's March 2024 updates and explore strategies to not just survive, but thrive in this dynamic digital landscape.
You’ll learn:
- How to create content that is valuable to users (not just search engines) using E-E-A-T.
- How to build links that can boost rankings and withstand algorithm updates.
- Best practices for content creation and link building so you can thrive during algorithm updates.
With Vince Ramos, we'll examine the implications of the latest algorithm changes on content creation, link building, and SEO practices, and offer actionable insights from businesses like yours that have remained steadfast amidst the volatility.
Using real-life case studies, we’ll also show you the effectiveness of manual link building techniques and person-first content strategies.
Whether you're a seasoned SEO professional, a budding content creator, or anyone in between, this webinar will help you weather the changes in Google's algorithms and capitalize on them for sustained success.
Check out this webinar and unlock the secrets to thriving in the new Google era.
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
How to Use AI to Write a High-Quality Article that Ranksminatamang0021
In the world of content creation, many AI bloggers have drifted away from their original vision, resulting in low-quality articles that search engines overlook. Don't let that happen to you! Join us to discover how to leverage AI tools effectively to craft high-quality content that not only captures your audience's attention but also ranks well on search engines.
Disclaimer: Some of the prompts mentioned here are the examples of Matt Diggity. Please use it as reference and make your own custom prompts.
The Secret to Engaging Modern Consumers: Journey Mapping and Personalization
In today's digital landscape, understanding the customer's journey and delivering personalized experiences are paramount. This masterclass delves into the art of consumer journey mapping, a powerful technique that visualizes the entire customer experience across touchpoints. Attendees will learn how to create detailed journey maps, identify pain points, and uncover opportunities for optimization. The presentation also explores personalization strategies that leverage data and technology to tailor content, products, and experiences to individual customers. From real-time personalization to predictive analytics, attendees will gain insights into cutting-edge approaches that drive engagement and loyalty.
Key Takeaways:
Current consumer landscape; Steps to mapping an effective consumer journey; Understanding the value of personalization; Integrating mapping and personalization for success; Brands that are getting It right!; Best Practices; Future Trends
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
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.
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
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.
Videos are more engaging, more memorable, and more popular than any other type of content out there. That’s why it’s estimated that 82% of consumer traffic will come from videos by 2025.
And with videos evolving from landscape to portrait and experts promoting shorter clips, one thing remains constant – our brains LOVE videos.
So is there science behind what makes people absolutely irresistible on camera?
The answer: definitely yes.
In this jam-packed session with Stephanie Garcia, you’ll get your hands on a steal-worthy guide that uncovers the art and science to being irresistible on camera. From body language to words that convert, she’ll show you how to captivate on command so that viewers are excited and ready to take action.
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
AI-Powered Personalization: Principles, Use Cases, and Its Impact on CROVWO
In today’s era of AI, personalization is more than just a trend—it’s a fundamental strategy that unlocks numerous opportunities.
When done effectively, personalization builds trust, loyalty, and satisfaction among your users—key factors for business success. However, relying solely on AI capabilities isn’t enough. You need to anchor your approach in solid principles, understand your users’ context, and master the art of persuasion.
Join us as Sarjak Patel and Naitry Saggu from 3rd Eye Consulting unveil a transformative framework. This approach seamlessly integrates your unique context, consumer insights, and conversion goals, paving the way for unparalleled success in personalization.
AI-Powered Personalization: Principles, Use Cases, and Its Impact on CRO
Why algorithms are your future and how you can create one
1. Why algorithms are your
future and how you
can create one
@masterstips #DMS2015
2. Big data requires
multiple sources
• Population stats
• Impressions, traffic, sales
• Footfall
• Time of year/day
• Weather
• Customer data
• Previous year data
• The competition
@masterstips #DMS2015
3. Google flu
trends
Google’s flu predictor uses
search query volumes to track
the spread of influenza.
@masterstips #DMS2015
4. Big data to predict earthquakes
@masterstips #DMS2015
5. Hurricanes and
Pop-Tarts
Sales of Strawberry Pop-Tarts
increased by 7 times prior to a
hurricane.
The biggest pre-hurricane seller was
beer, not water.
@masterstips #DMS2015
9. Data insights
drive
Netflix can even use the data to
analyse the most popular elements
in movies and use this to create the
ultimate movie…
@masterstips #DMS2015
11. The more technology we invent, the
more big data we create.
@masterstips #DMS2015
12. The more big data we create, the more
we need bots to manage it.
@masterstips #DMS2015
13. “Every day, we create 2.5
quintillion bytes of data — so
much that 90% of the data in
the world today has been
created in the past two years
alone.” IBM
@masterstips #DMS2015
14. Car insurers are able to provide a
personalised quote in a few seconds
@masterstips #DMS2015
15. Businesses can track fleets
Black boxes in cars are
popular with insurance
companies.
@masterstips #DMS2015
17. Technology is coming
“In the world that we are creating very
quickly, we're going to see more and more
things that look like science fiction, and
fewer and fewer things that look like jobs.”
Andrew McAfee
@masterstips #DMS2015
18. Do not fear robots
taking your job.
Fear your failure
to let them.
@masterstips #DMS2015
19. Consider the humble traffic light
Lights automatically control traffic, 24 hours a day, all over the world.
@masterstips #DMS2015
21. Automation
Associated Press uses Automated
Insights software to automatically
write financial reports as stock
market data is released.
Financial reports
Computerisation has also reached
the area of financial advice.
@masterstips #DMS2015
22. A person can do one thing at a time
@masterstips #DMS2015
33. How to create an algorithm
1. Know what you want to know
2. Write down how you do it manually
3. Create a repetitive program that does the same
4. Put your feet up.
@masterstips #DMS2015
34. Get in touch
Steve Masters
@masterstips
@VerticalLeap
www.vertical-leap.uk
0845 123 2753
@masterstips #DMS2015
Editor's Notes
Advanced Google search – PDF as search variable; include key phrases like “market reports” (use quote marks)
Mintel – UK consumer goods markets – mintel.com
ONS.gov.uk – manufacturing reports; business monitors
YouGov – may have some reports on general UK opinion and consumer trends
Management consultancy industry reports
Quandl.com – economics, finance & business data
FT.COM – register for free trial online subscription
Bloomberg.com
NY Times – NYTimes.com
EU provide lot of general information – PUBLICATIONS.EUROPA.EU
https://www.google.com/publicdata/
Economics Data
Useful Websites
American Economics Association RFE (Resources for Economics on the Internet – rfe.org). This site lists more than 2,000 resources available on the Internet of interest to academic and practicing economists, and those interested in economics.
Bized (bized.co.uk)
This site aimed at post 16 students is particularly strong in the provision of economics learning materials. Also explore the section on data handling skills. A good starting point if struggling with concepts.
Economic Data Freely Online – (http://www.economicsnetwork.ac.uk/links/data_free)
Excellent advice and links from John Sloman about free national, international and market data
ELDIS – (eldis.org)
A gateway to information on development issues, providing free and easy access to wide range of high quality online resources.
Gov.uk – (gov.uk)
Use this site to find the Government information from departments, publications or statistics in particular:
H.M. Treasury is useful for publications and statistics. The Office for Budget Responsibility provides forecasts and analysis of UK’s public finances
Each week, millions of users around the world search for health information online. As you might expect, there are more flu-related searches during flu season, more allergy-related searches during allergy season, and more sunburn-related searches during the summer. You can explore all of these phenomena using Google Insights for Search. But can search query trends provide the basis for an accurate, reliable model of real-world phenomena?
We have found a close relationship between how many people search for flu-related topics and how many people actually have flu symptoms. Of course, not every person who searches for "flu" is actually sick, but a pattern emerges when all the flu-related search queries are added together. We compared our query counts with traditional flu surveillance systems and found that many search queries tend to be popular exactly when flu season is happening. By counting how often we see these search queries, we can estimate how much flu is circulating in different countries and regions around the world. Ourresults have been published in the journal Nature.
http://www.world-earthquakes.com/index.php?option=sta
Animal behaviour
Changes in pressure or radon emissions
Electromagnetic variations
Precursor trends
Seismic gaps and patterns
http://www.nytimes.com/2004/11/14/business/yourmoney/14wal.html?_r=1&
HuRRICANE FRANCES was on its way, barreling across the Caribbean, threatening a direct hit on Florida's Atlantic coast. Residents made for higher ground, but far away, in Bentonville, Ark., executives atWal-Mart Stores decided that the situation offered a great opportunity for one of their newest data-driven weapons, something that the company calls predictive technology.
A week ahead of the storm's landfall, Linda M. Dillman, Wal-Mart's chief information officer, pressed her staff to come up with forecasts based on what had happened when Hurricane Charley struck several weeks earlier. Backed by the trillions of bytes' worth of shopper history that is stored in Wal-Mart's computer network, she felt that the company could "start predicting what's going to happen, instead of waiting for it to happen," as she put it.
The experts mined the data and found that the stores would indeed need certain products - and not just the usual flashlights. "We didn't know in the past that strawberry Pop-Tarts increase in sales, like seven times their normal sales rate, ahead of a hurricane," Ms. Dillman said in a recent interview. "And the pre-hurricane top-selling item was beer."
Amazon’s explanation of recommendations
http://www.amazon.com/gp/help/customer/display.html?nodeId=16465251
Amazon deploys tool to root out fake reviews
http://elliott.org/blog/amazon-deploys-new-weapon-war-phony-reviews/
Amazon’s algorithm will give extra weight to newer reviews, reviews from verified purchasers, and reviews that customers voted as being helpful. The change will also affect easy-to-spot 5-star ratings.
“The system will continue to learn which reviews are most helpful to customers and improve the experience over time,” Amazon spokeswoman Julie Law told ABC News.
The change started June 19 and may take some time to become apparent as Amazon’s new platform gradually alters star ratings and top reviews on product pages, CNET reported. Star ratings previously were averages of all reviews, so fake reviews could heavily influence the ratings.
Amazon’s latest attack on phony reviews follows its April filing of a lawsuit against the operators of three websites that it said sell fictitious praise for products. The operators denied the allegations.
https://labs.spotify.com/2014/02/28/how-to-shuffle-songs/
http://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle
This was not random enough as it was causing clustering that made users think it wasn’t random.
They added an element of Floyd-Steinberg Dithering to create a more random result.
http://en.wikipedia.org/wiki/Floyd%E2%80%93Steinberg_dithering
There are 256 filters in the first layer of the network, which I numbered from 0 to 255. Note that this numbering is arbitrary, as they are unordered.
These four playlists were obtained by finding songs that maximally activate a given filter in the 30 seconds that were analyzed. I selected a few interesting looking filters from the first convolutional layer and computed the feature representations for each of these, and then searched for the maximal activations across the entire test set. Note that you should listen to the middle of the tracks to hear what the filters are picking up on, as this is the part of the audio signal that was analyzed.
http://benanne.github.io/2014/08/05/spotify-cnns.html
This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few.
The term “big data” is also used in the context of data analysis. It’s not just about the existence of the data but also about the potential for computational analysis of that data. The data must be usable.
http://www.tracker.co.uk/
Also, Google collects big data related to drivers who use Google Maps – all of which helps to enhance the knowledge for the self-driving cars. This could also be used to manage traffic better and avoid congestion hotspots.
“In the world that we are creating very quickly, we're going to see more and more things that look like science fiction, and fewer and fewer things that look like jobs. Our cars are very quickly going to start driving themselves, which means we're going to need fewer truck drivers. We're going to hook Siri up to Watson and use that to automate a lot of the work that's currently done by customer service reps and troubleshooters and diagnosers, and we're already taking R2D2, painting him orange, and putting him to work carrying shelves around warehouses, which means we need a lot fewer people to be walking up and down those aisles.”
The first traffic control device appeared near the British House of Parliament at the intersection of George and Bridge Streets. The device was made in response to the desire by a Select Committee to use railway signals on highways. The device had lights and it used arms which extended outwards. It was operated manually by a police officer. The signal was 22 feet high and crowned with a gas light. The light was called the semaphore and had arms that would extend horizontally that commanded drivers to "Stop" and then the arms would lower to a 45 degrees angle to tell drivers to proceed with "Caution". At night a red light would command "Stop" and a green light would mean use "Caution".[7] The man behind this new and different invention was John Peake Knight a railroad engineer. The main reason for the traffic light was that there was an overflow of horse-drawn traffic over Westminster Bridge which forced thousands of pedestrians to walk next to the house of Parliament.[8] But Knight’s invention was not to last long. After only a month of use the device exploded and injured the police officer who was operating the light. In the first two decades of the 20th century semaphore traffic signals, like the one in London, were in use all over the United States with each state having its own design of the device. One good example was from Toledo, Ohio in 1908. The words “Stop” and “Go” were in white on a green background and the lights had red and green lenses illuminated by kerosene lamps for night travelers and the arms where eight feet above ground.[9] Controlled by atraffic officer who would blow a whistle before changing the commands on this signal to help alert travelers of the change, the design was also used in Philadelphia and Detroit.[10]The example in Ohio was the first time America tried to use a more visible form of traffic control that evolved the use of semaphore. The device that was used in Ohio was designed based on the use of railroad signals.[11]
The first three-colored signal and the traffic tower[edit]
In 1912, a traffic control device was placed on top a tower in Paris at the Rue Montmartre and Grande Boulevard. This tower signal was manned by a police woman and she operated a revolving four-sided metal box on top of a glass showcase where the word “Stop” was painted in red and the word “Go” painted in white. The traffic tower was featured in The Rider and Driver Magazine and soon the United States started to develop their own traffic control towers.[12] The tower was the first innovation that used the three-colored traffic signal and appeared first in the City of Detroit, where the first three-colored traffic light was built at the intersection of Michigan and Woodward Avenues in 1920. The man behind this three-color traffic light was police officer William Potts of Detroit. He was concerned about how police officers at four different lights signals could not change their lights all at the same time. The answer was a third light that was colored amber, which was the same color used on the railroad.[13] Potts also placed a timer with the light to help coordinate a four-way set of lights in the city. The traffic tower soon used twelve floodlights to control traffic and the reason for a tower in the first place was that at the time the intersection was one of the busiest in world, with over 20,000 vehicles daily.[14] The twelve-light system did not become available until 1928 and another feature of the light system was that hoods were placed over the light and each lens was sand-blasted to increase daytime visibility.[15] The popularity of the traffic tower, like the semaphore in the past decade, caught on in other states. Once again different states released their own design for the new traffic tower, and it was popular in places like New York and Detroit. In 1922 traffic towers were beginning to be controlled by automatic timers. The first company to add timers in traffic lights was Crouse Hinds. They built railroad signals and were the first company to place timers in traffic lights in Houston, which was their home city.[16] The main advantage for the use of the timer was that it saved cities money by replacing traffic officers. The city of New York was able to reassign all but 500 of its 6,000 officers working on the traffic squad; this saved the city $12,500,000.[17] The use of both the tower and the semaphores were done by 1930. The tower was great with starting innovation but they were too big and obstructed traffic and the semaphores were too small and drivers could not see them at night.[18]
Traffic light controlled by computer[edit]
The traffic light underwent many evolutions from a manually operated arm extending outwards in 1860s London to being controlled by a timer in a tower at an intersection. The control of traffic lights made a big turn with the rise of computers in America in the 1950s. Thanks to computers, the changing of lights made Crosby's flow even quicker thanks to computerized detection. A pressure plate was placed at intersections so once a car was on the plate computers would know that a car was waiting at the red light.[19] Some of this detection included knowing the number of waiting cars against the red light and the length of time waited by the first vehicle at the red.[20] One of the best historical examples of computerized control of lights was in Denver in 1952. One computer took control of 120 lights with six pressure-sensitive detectors measuring inbound and outbound traffic. The system was in place at the central business district, where the most traffic was between the downtown area and the north and northeastern parts of the city. The control room that housed the computer in charge of the system was in the basement of the City and County Building.[21] As computers started to evolve, traffic light control also improved and became easier. In 1967 the cities of Toronto and Ontario were the first to use more advanced computers that were better at vehicle detection.[22] Thanks to the new and better computers traffic flow moved even quicker than with the use of the tower. The computers maintained control over 159 signals in the cities through telephone lines. People praised the computers for their detection abilities. Thanks to detection computers could change the length of the green light based on the volume of waiting cars.[23] The rise of computers is the model of traffic control which is now used in the 21st century.
The first traffic control device appeared near the British House of Parliament at the intersection of George and Bridge Streets. The device was made in response to the desire by a Select Committee to use railway signals on highways. The device had lights and it used arms which extended outwards. It was operated manually by a police officer. The signal was 22 feet high and crowned with a gas light. The light was called the semaphore and had arms that would extend horizontally that commanded drivers to "Stop" and then the arms would lower to a 45 degrees angle to tell drivers to proceed with "Caution". At night a red light would command "Stop" and a green light would mean use "Caution".[7] The man behind this new and different invention was John Peake Knight a railroad engineer. The main reason for the traffic light was that there was an overflow of horse-drawn traffic over Westminster Bridge which forced thousands of pedestrians to walk next to the house of Parliament.[8] But Knight’s invention was not to last long. After only a month of use the device exploded and injured the police officer who was operating the light. In the first two decades of the 20th century semaphore traffic signals, like the one in London, were in use all over the United States with each state having its own design of the device. One good example was from Toledo, Ohio in 1908. The words “Stop” and “Go” were in white on a green background and the lights had red and green lenses illuminated by kerosene lamps for night travelers and the arms where eight feet above ground.[9] Controlled by atraffic officer who would blow a whistle before changing the commands on this signal to help alert travelers of the change, the design was also used in Philadelphia and Detroit.[10]The example in Ohio was the first time America tried to use a more visible form of traffic control that evolved the use of semaphore. The device that was used in Ohio was designed based on the use of railroad signals.[11]
The first three-colored signal and the traffic tower[edit]
In 1912, a traffic control device was placed on top a tower in Paris at the Rue Montmartre and Grande Boulevard. This tower signal was manned by a police woman and she operated a revolving four-sided metal box on top of a glass showcase where the word “Stop” was painted in red and the word “Go” painted in white. The traffic tower was featured in The Rider and Driver Magazine and soon the United States started to develop their own traffic control towers.[12] The tower was the first innovation that used the three-colored traffic signal and appeared first in the City of Detroit, where the first three-colored traffic light was built at the intersection of Michigan and Woodward Avenues in 1920. The man behind this three-color traffic light was police officer William Potts of Detroit. He was concerned about how police officers at four different lights signals could not change their lights all at the same time. The answer was a third light that was colored amber, which was the same color used on the railroad.[13] Potts also placed a timer with the light to help coordinate a four-way set of lights in the city. The traffic tower soon used twelve floodlights to control traffic and the reason for a tower in the first place was that at the time the intersection was one of the busiest in world, with over 20,000 vehicles daily.[14] The twelve-light system did not become available until 1928 and another feature of the light system was that hoods were placed over the light and each lens was sand-blasted to increase daytime visibility.[15] The popularity of the traffic tower, like the semaphore in the past decade, caught on in other states. Once again different states released their own design for the new traffic tower, and it was popular in places like New York and Detroit. In 1922 traffic towers were beginning to be controlled by automatic timers. The first company to add timers in traffic lights was Crouse Hinds. They built railroad signals and were the first company to place timers in traffic lights in Houston, which was their home city.[16] The main advantage for the use of the timer was that it saved cities money by replacing traffic officers. The city of New York was able to reassign all but 500 of its 6,000 officers working on the traffic squad; this saved the city $12,500,000.[17] The use of both the tower and the semaphores were done by 1930. The tower was great with starting innovation but they were too big and obstructed traffic and the semaphores were too small and drivers could not see them at night.[18]
Traffic light controlled by computer[edit]
The traffic light underwent many evolutions from a manually operated arm extending outwards in 1860s London to being controlled by a timer in a tower at an intersection. The control of traffic lights made a big turn with the rise of computers in America in the 1950s. Thanks to computers, the changing of lights made Crosby's flow even quicker thanks to computerized detection. A pressure plate was placed at intersections so once a car was on the plate computers would know that a car was waiting at the red light.[19] Some of this detection included knowing the number of waiting cars against the red light and the length of time waited by the first vehicle at the red.[20] One of the best historical examples of computerized control of lights was in Denver in 1952. One computer took control of 120 lights with six pressure-sensitive detectors measuring inbound and outbound traffic. The system was in place at the central business district, where the most traffic was between the downtown area and the north and northeastern parts of the city. The control room that housed the computer in charge of the system was in the basement of the City and County Building.[21] As computers started to evolve, traffic light control also improved and became easier. In 1967 the cities of Toronto and Ontario were the first to use more advanced computers that were better at vehicle detection.[22] Thanks to the new and better computers traffic flow moved even quicker than with the use of the tower. The computers maintained control over 159 signals in the cities through telephone lines. People praised the computers for their detection abilities. Thanks to detection computers could change the length of the green light based on the volume of waiting cars.[23] The rise of computers is the model of traffic control which is now used in the 21st century.