How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
AI Maturity Levels and the Analytics TranslatorGoDataDriven
Buzzwords like Big Data, Cloud, and AI have been out there now for a couple of years. But today, businesses have a clear focus on the application of data use cases and the challenges around that such as metadata management, governance, security, and maintainability in general. Everybody seems to have some version of a data lake and wants to consolidate it into something (more) useful, or move from an on-premise version to the cloud. There is a general need to streamline current practices while also attempting to give multiple segments of users (data scientists, analysts, marketeers, business people, and HR) access in a way that is tailored to their needs and skills. In other words: businesses today are heavily invested in data and AI, but many have a hard time knowing how to mature it to the next level.
This is exactly where a "maturity model" comes into play. The goal of a maturity model is to help businesses in understanding their current and target competencies. This helps organisations in defining a roadmap for improving their competency. A maturity model is therefore one way of structuring progression, whether the company already embraces data science as a core competency, or, if it is just getting started.
In this presentation on maturity models, we answer the following questions:
1. What exactly is a maturity model and why would you need it? We address this by sharing GoDataDriven's maturity model and describing the different phases we have identified based on our experience in the field.
2. How can you use a maturity model to advance your organisation? Having a maturity model alone is not enough, in order for it to be valuable you need to act upon it. This paper provides concrete examples on how to do act based on practical stories and experiences from our clients and ourselves.
Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise. There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more.
This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.
A practical journey to mature your data & AI capabilitiesSteven Nooijen
Today, about 80% of organisations consider data and AI as an essential part of their strategy. However, 7 out of 10 organisations report minimal to no gains from their data & AI initiatives. With businesses heavily invested in data and AI, what makes the difference between being successful and failing with data and AI?
In our Data & AI Maturity Journey track at the Applied Machine Learning Days in Lausanne 2022, we invite different companies to talk about how they became data & AI driven organisations.
We share a practical — and widely applicable — maturity journey that demonstrates how organisations grow their data and AI competencies. To reach maturity, companies usually work on two axes: Analytics Capabilities — Data, People & Skills, Tools & Tech — and Business Adoption — Executive Support, Funding, Implementation.
But where do you stand in this journey and how can you reach your destination? Join this session if you want to understand the phases and drivers of the data maturity journey. Get the chance to learn from other organisations that embarked on this journey before you.
How to set up an artificial intelligence center of excellence in your organiz...Yogesh Malik
Setting up a COE ( Center of Excellence ) for AI ( Artificial Intelligence ) could be a daunting task. Lack of skills and quality data sets could hold you back. But still you should not wait any longer and start with what you have, build skills by training people, and move ahead in gettering executive approval for building an artificial intelligence center of excellence
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
AI Maturity Levels and the Analytics TranslatorGoDataDriven
Buzzwords like Big Data, Cloud, and AI have been out there now for a couple of years. But today, businesses have a clear focus on the application of data use cases and the challenges around that such as metadata management, governance, security, and maintainability in general. Everybody seems to have some version of a data lake and wants to consolidate it into something (more) useful, or move from an on-premise version to the cloud. There is a general need to streamline current practices while also attempting to give multiple segments of users (data scientists, analysts, marketeers, business people, and HR) access in a way that is tailored to their needs and skills. In other words: businesses today are heavily invested in data and AI, but many have a hard time knowing how to mature it to the next level.
This is exactly where a "maturity model" comes into play. The goal of a maturity model is to help businesses in understanding their current and target competencies. This helps organisations in defining a roadmap for improving their competency. A maturity model is therefore one way of structuring progression, whether the company already embraces data science as a core competency, or, if it is just getting started.
In this presentation on maturity models, we answer the following questions:
1. What exactly is a maturity model and why would you need it? We address this by sharing GoDataDriven's maturity model and describing the different phases we have identified based on our experience in the field.
2. How can you use a maturity model to advance your organisation? Having a maturity model alone is not enough, in order for it to be valuable you need to act upon it. This paper provides concrete examples on how to do act based on practical stories and experiences from our clients and ourselves.
Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise. There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more.
This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.
A practical journey to mature your data & AI capabilitiesSteven Nooijen
Today, about 80% of organisations consider data and AI as an essential part of their strategy. However, 7 out of 10 organisations report minimal to no gains from their data & AI initiatives. With businesses heavily invested in data and AI, what makes the difference between being successful and failing with data and AI?
In our Data & AI Maturity Journey track at the Applied Machine Learning Days in Lausanne 2022, we invite different companies to talk about how they became data & AI driven organisations.
We share a practical — and widely applicable — maturity journey that demonstrates how organisations grow their data and AI competencies. To reach maturity, companies usually work on two axes: Analytics Capabilities — Data, People & Skills, Tools & Tech — and Business Adoption — Executive Support, Funding, Implementation.
But where do you stand in this journey and how can you reach your destination? Join this session if you want to understand the phases and drivers of the data maturity journey. Get the chance to learn from other organisations that embarked on this journey before you.
How to set up an artificial intelligence center of excellence in your organiz...Yogesh Malik
Setting up a COE ( Center of Excellence ) for AI ( Artificial Intelligence ) could be a daunting task. Lack of skills and quality data sets could hold you back. But still you should not wait any longer and start with what you have, build skills by training people, and move ahead in gettering executive approval for building an artificial intelligence center of excellence
In the 3rd of 3 joint webinars with Beezy and CardioLog Analytics, we discussed the basics of gamification, and how you can develop a "motivation hacking" strategy within SharePoint or Office 365 to help shape user behavior and improve adoption and engagement.
A Super Solution Integrator Drives Business Outcomes by Orchestrating TechnologyInsight
Today, agility through digital transformation is a business imperative — but many organizations struggle to succeed. In this SlideShare, we’ll cover some of the core concepts explored in our free whitepaper, “A Super Solution Integrator Drives Business Outcomes by Orchestrating Technology” and walk through the digital transformation story — from the ideal scenario to the common reality.
Digital transformation requires complex systems integration with modern IT solutions. Most organizations don’t have the skills or transformation experience in-house to manage a large-scale IT initiative. Alternatively, organizations will turn to outside partners for help — but managing multiple vendors across a fragmented IT environment creates its own set of challenges; integration problems, an expanding security footprint and no centralized strategy over the full project scope.
Partnering with a super solution integrator can be the difference between success and failure by helping you overcome IT transformation challenges with a robust digital transformation strategy and experience.
But what is a ‘super solution integrator’?
In this SlideShare, you’ll learn why traditional systems integrators are evolving into a Super Solution Integrator (SSI) — and how this end-to-end partner is driving meaningful business outcomes.
AI & DEI: With Great Opportunities Comes Great HR ResponsibilityAggregage
https://www.humanresourcestoday.com/frs/26184029/ai---dei--with-great-opportunities-comes-great-hr-responsibility
The promise of AI for today’s organizations is real, yet in a frenzied state of experimentation, many stumble to get to a full-scale enterprise. As companies race to discover what generative AI can do, HR must lead conversations about how to balance cutting-edge innovations with integrity, trust, and diversity. Globally, organizations are at a critical intersection of Diversity, Equity, Inclusion, and AI acceleration. We will explore how AI is rapidly transforming workplace dynamics and decision-making processes. The safety and protection of the workforce have never been more important and need to be co-led by HR to prevent biases and ensure fair and equitable representation in systems, hiring, and the workforce evolution.
We'll cover:
• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
Google's guide to innovation: How to unlock strategy, resources and technologyrun_frictionless
Organizations are facing unprecedented change and challenges stemming from a confluence of natural and artificial conditions. These forces are driving many to rethink the tools and technologies they use, and the places they need to be, to grow, and to innovate.
https://runfrictionless.com/b2b-white-paper-service/
With new upgrades made in the field, AI adoptions are slowly becoming mainstream as more and more companies are experimenting with new AI projects. While this spirit is high, there are several things that can go downhill in an AI project. Follow the steps mentioned to avoid making project mistakes.
Artificial Intelligence for Product Managers by former Yahoo! PMProduct School
Jobs requiring artificial intelligence skills in the US has grown 450% in the last five years. Corporations are seeking relentlessly for product leaders who can utilize AI technologies on their products and services to improve the company’s bottom line or top line. It's called the Fourth Industrial Revolution, and it is happening right here, right now.
However, as a Product Manager, how do you gain the necessary knowledge to analyze, understand, plan, and design products based on artificial intelligence technologies? Since you cannot get a college degree in AI Product Management, how do you adapt to this rapid change? In this talk, Adnan helped to answer these questions.
Data and analytic strategies for developing ethical itHyoun Park
Suggested audience: CIO, Enterprise Architects, Data Managers, Analytics Managers, Data Scientists
IT is broken. Bad data assumptions, legacy technology, poor business decisions, and weak IT management have changed IT from a superstar to a second-rate department that struggles to maintain its seat at the CEO's table.
With AI, personal data, & business ethics all in ascendence, the need for ethical IT policies has never been greater. Otherwise, companies risk building services and products that fall short of the ethics and trust that they have been given by employees.
In this webinar, Amalgam Insights explores how current data, BI, analytics, and machine learning technologies threaten ethical IT and provides guidance based on other rules-based frameworks that derive business outcomes, such as the law and corporate legislation.
Elevate Your Microsoft 365 Experience The Winning Trio Of AI, Analytics & Rec...Richard Harbridge
Redefine and elevate your SaaS experience.
In today's rapidly evolving digital landscape, Software as a Service (SaaS) platforms are no longer just about providing tools; they're about enhancing user experiences, driving efficiency, and ensuring that businesses stay ahead of the curve. Enter the transformative trio: AI, Analytics, and Recommendations. This session delves deep into the synergistic relationship between these three pillars, illustrating how they can be harnessed to elevate your SaaS experience to unprecedented heights.
Join Richard Harbridge, Microsoft MVP and leading industry expert as he shares best practices and real-world examples from Microsoft 365, SharePoint Online, Microsoft Teams, and Microsoft Viva that advance your SaaS experience.
Together attendees will gain insights into:
Analytics - Understand your user behavior, workflow efficiencies, and areas of improvement. Dive into how Microsoft 365's robust analytics can offer actionable insights to optimize your business processes.
AI - Beyond just data, discover how AI can be a game-changer in action management. Learn how Microsoft's AI capabilities not only predict but proactively address challenges, ensuring a seamless and enhanced user experience.
Recommendations - Personalization is key in today's SaaS world. Explore how Microsoft 365 tailors recommendations based on user behavior, ensuring that each interaction is relevant, timely, and actionable.
By the end of this session, participants will be equipped with the knowledge and inspiration to leverage the power of AI, analytics, and recommendations, transforming their SaaS platforms from mere tools to dynamic, adaptive, and optimized experiences. Join us for this first session of this series and embark on a journey to redefine and elevate your SaaS experience.
Marketing is one of the areas where artificial intelligence (AI) and machine learning are being widely adopted. As the technology advances, you may be concerned that the entire function will eventually be automated. But worry not, because AI presents an opportunity to enhance your role, not kick you out of it.
Marketing automation has already been embraced across industries, saving time, honing targeting capabilities and optimising customer experience. Artificial intelligence allows you to take those capabilities even further.
Here we explore the top applications for artificial intelligence in marketing. You can be using these today to drive results across all stages of your marketing funnel.
AI (Artificial Intelligence) technology is now poised to
transform every industry, just as electricity did 100 years
ago. Between now and 2030, it will create an estimated
$13 trillion of GDP growth. While it has already created
tremendous value in leading technology companies
such as Google, Baidu, Microsoft and Facebook, much
of the additional waves of value creation will go beyond
the software sector.
This AI Transformation Playbook draws on insights
gleaned from leading the Google Brain team and
the Baidu AI Group, which played leading roles in
transforming both Google and Baidu into great AI
companies. It is possible for any enterprise to follow
this Playbook and become a strong AI company,
though these recommendations are tailored primarily
for larger enterprises with a market cap/valuation from
$500M to $500B.
PLAYBOOK STEPS
1. Execute pilot projects to gain momentum
2. Build an in-house AI team
3. Provide broad AI training
4. Develop an AI strategy
5. Develop internal and external communications
Conversational intelligence builds on the advancements in artificial intelligence and cognitive computing to help organisations to lower costs, lower risk, and increase value. This is achieved through a variety of outcomes, such as enhancing engagement through providing personalized understanding, scaling and elevating human expertise, infusing products and services with contextually aware knowledge, enabling automated, intelligent business process and powering the ability for disruptive data discovery and exploration that have otherwise eluded organisations for decades.
Conversations play an important role in building these relationships, but they are increasingly taking on digital forms, which are very hard to track. These conversations hold valuable information, but how can companies extract actionable insights? What role does Conversational Intelligence play?
Listen to an interview that Founder & CEO Neil Movold did with B2M's Simon Fawkes on the subject of Conversational Intelligence and the answers to these questions.
https://b2m.co.nz/conversational-intelligence/
Outcome Engineering 101: Five Guidelines to Delivering Products that Create I...Cognizant
It’s time to shift to an evolved, technology-empowered design mindset. As technology informs design, and good design arms technology to become most effective by engaging with users, the two now sit at the top of the product development pyramid to co-create success.
In the 3rd of 3 joint webinars with Beezy and CardioLog Analytics, we discussed the basics of gamification, and how you can develop a "motivation hacking" strategy within SharePoint or Office 365 to help shape user behavior and improve adoption and engagement.
A Super Solution Integrator Drives Business Outcomes by Orchestrating TechnologyInsight
Today, agility through digital transformation is a business imperative — but many organizations struggle to succeed. In this SlideShare, we’ll cover some of the core concepts explored in our free whitepaper, “A Super Solution Integrator Drives Business Outcomes by Orchestrating Technology” and walk through the digital transformation story — from the ideal scenario to the common reality.
Digital transformation requires complex systems integration with modern IT solutions. Most organizations don’t have the skills or transformation experience in-house to manage a large-scale IT initiative. Alternatively, organizations will turn to outside partners for help — but managing multiple vendors across a fragmented IT environment creates its own set of challenges; integration problems, an expanding security footprint and no centralized strategy over the full project scope.
Partnering with a super solution integrator can be the difference between success and failure by helping you overcome IT transformation challenges with a robust digital transformation strategy and experience.
But what is a ‘super solution integrator’?
In this SlideShare, you’ll learn why traditional systems integrators are evolving into a Super Solution Integrator (SSI) — and how this end-to-end partner is driving meaningful business outcomes.
AI & DEI: With Great Opportunities Comes Great HR ResponsibilityAggregage
https://www.humanresourcestoday.com/frs/26184029/ai---dei--with-great-opportunities-comes-great-hr-responsibility
The promise of AI for today’s organizations is real, yet in a frenzied state of experimentation, many stumble to get to a full-scale enterprise. As companies race to discover what generative AI can do, HR must lead conversations about how to balance cutting-edge innovations with integrity, trust, and diversity. Globally, organizations are at a critical intersection of Diversity, Equity, Inclusion, and AI acceleration. We will explore how AI is rapidly transforming workplace dynamics and decision-making processes. The safety and protection of the workforce have never been more important and need to be co-led by HR to prevent biases and ensure fair and equitable representation in systems, hiring, and the workforce evolution.
We'll cover:
• The opportunities that AI presents and the responsibility of HR
• How to enhance diverse perspectives in use cases
• Increasing collaboration between AI Developers, HR, Legal and IT
Google's guide to innovation: How to unlock strategy, resources and technologyrun_frictionless
Organizations are facing unprecedented change and challenges stemming from a confluence of natural and artificial conditions. These forces are driving many to rethink the tools and technologies they use, and the places they need to be, to grow, and to innovate.
https://runfrictionless.com/b2b-white-paper-service/
With new upgrades made in the field, AI adoptions are slowly becoming mainstream as more and more companies are experimenting with new AI projects. While this spirit is high, there are several things that can go downhill in an AI project. Follow the steps mentioned to avoid making project mistakes.
Artificial Intelligence for Product Managers by former Yahoo! PMProduct School
Jobs requiring artificial intelligence skills in the US has grown 450% in the last five years. Corporations are seeking relentlessly for product leaders who can utilize AI technologies on their products and services to improve the company’s bottom line or top line. It's called the Fourth Industrial Revolution, and it is happening right here, right now.
However, as a Product Manager, how do you gain the necessary knowledge to analyze, understand, plan, and design products based on artificial intelligence technologies? Since you cannot get a college degree in AI Product Management, how do you adapt to this rapid change? In this talk, Adnan helped to answer these questions.
Data and analytic strategies for developing ethical itHyoun Park
Suggested audience: CIO, Enterprise Architects, Data Managers, Analytics Managers, Data Scientists
IT is broken. Bad data assumptions, legacy technology, poor business decisions, and weak IT management have changed IT from a superstar to a second-rate department that struggles to maintain its seat at the CEO's table.
With AI, personal data, & business ethics all in ascendence, the need for ethical IT policies has never been greater. Otherwise, companies risk building services and products that fall short of the ethics and trust that they have been given by employees.
In this webinar, Amalgam Insights explores how current data, BI, analytics, and machine learning technologies threaten ethical IT and provides guidance based on other rules-based frameworks that derive business outcomes, such as the law and corporate legislation.
Elevate Your Microsoft 365 Experience The Winning Trio Of AI, Analytics & Rec...Richard Harbridge
Redefine and elevate your SaaS experience.
In today's rapidly evolving digital landscape, Software as a Service (SaaS) platforms are no longer just about providing tools; they're about enhancing user experiences, driving efficiency, and ensuring that businesses stay ahead of the curve. Enter the transformative trio: AI, Analytics, and Recommendations. This session delves deep into the synergistic relationship between these three pillars, illustrating how they can be harnessed to elevate your SaaS experience to unprecedented heights.
Join Richard Harbridge, Microsoft MVP and leading industry expert as he shares best practices and real-world examples from Microsoft 365, SharePoint Online, Microsoft Teams, and Microsoft Viva that advance your SaaS experience.
Together attendees will gain insights into:
Analytics - Understand your user behavior, workflow efficiencies, and areas of improvement. Dive into how Microsoft 365's robust analytics can offer actionable insights to optimize your business processes.
AI - Beyond just data, discover how AI can be a game-changer in action management. Learn how Microsoft's AI capabilities not only predict but proactively address challenges, ensuring a seamless and enhanced user experience.
Recommendations - Personalization is key in today's SaaS world. Explore how Microsoft 365 tailors recommendations based on user behavior, ensuring that each interaction is relevant, timely, and actionable.
By the end of this session, participants will be equipped with the knowledge and inspiration to leverage the power of AI, analytics, and recommendations, transforming their SaaS platforms from mere tools to dynamic, adaptive, and optimized experiences. Join us for this first session of this series and embark on a journey to redefine and elevate your SaaS experience.
Marketing is one of the areas where artificial intelligence (AI) and machine learning are being widely adopted. As the technology advances, you may be concerned that the entire function will eventually be automated. But worry not, because AI presents an opportunity to enhance your role, not kick you out of it.
Marketing automation has already been embraced across industries, saving time, honing targeting capabilities and optimising customer experience. Artificial intelligence allows you to take those capabilities even further.
Here we explore the top applications for artificial intelligence in marketing. You can be using these today to drive results across all stages of your marketing funnel.
AI (Artificial Intelligence) technology is now poised to
transform every industry, just as electricity did 100 years
ago. Between now and 2030, it will create an estimated
$13 trillion of GDP growth. While it has already created
tremendous value in leading technology companies
such as Google, Baidu, Microsoft and Facebook, much
of the additional waves of value creation will go beyond
the software sector.
This AI Transformation Playbook draws on insights
gleaned from leading the Google Brain team and
the Baidu AI Group, which played leading roles in
transforming both Google and Baidu into great AI
companies. It is possible for any enterprise to follow
this Playbook and become a strong AI company,
though these recommendations are tailored primarily
for larger enterprises with a market cap/valuation from
$500M to $500B.
PLAYBOOK STEPS
1. Execute pilot projects to gain momentum
2. Build an in-house AI team
3. Provide broad AI training
4. Develop an AI strategy
5. Develop internal and external communications
Conversational intelligence builds on the advancements in artificial intelligence and cognitive computing to help organisations to lower costs, lower risk, and increase value. This is achieved through a variety of outcomes, such as enhancing engagement through providing personalized understanding, scaling and elevating human expertise, infusing products and services with contextually aware knowledge, enabling automated, intelligent business process and powering the ability for disruptive data discovery and exploration that have otherwise eluded organisations for decades.
Conversations play an important role in building these relationships, but they are increasingly taking on digital forms, which are very hard to track. These conversations hold valuable information, but how can companies extract actionable insights? What role does Conversational Intelligence play?
Listen to an interview that Founder & CEO Neil Movold did with B2M's Simon Fawkes on the subject of Conversational Intelligence and the answers to these questions.
https://b2m.co.nz/conversational-intelligence/
Outcome Engineering 101: Five Guidelines to Delivering Products that Create I...Cognizant
It’s time to shift to an evolved, technology-empowered design mindset. As technology informs design, and good design arms technology to become most effective by engaging with users, the two now sit at the top of the product development pyramid to co-create success.
Similar to Rhys Cater, Precis, The future of media buying with Generative AI.pdf (20)
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.
SMM Cheap - No. 1 SMM panel in the worldsmmpanel567
Boost your social media marketing with our SMM Panel services offering SMM Cheap services! Get cost-effective services for your business and increase followers, likes, and engagement across all social media platforms. Get affordable services perfect for businesses and influencers looking to increase their social proof. See how cheap SMM strategies can help improve your social media presence and be a pro at the social media game.
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.
Short video marketing has sweeped the nation and is the fastest way to build an online brand on social media in 2024. In this session you will learn:- What is short video marketing- Which platforms work best for your business- Content strategies that are on brand for your business- How to sell organically without paying for ads.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
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
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.
Influencer marketing isn't just for big brands or consumer products anymore. In 2024, marketers face hurdles like escalating paid channel costs, diminishing organic reach, and building trust in their ideal customer accounts. This session offers practical ways to bring influencer marketing into your organization, to provide cost-effective access to niche audiences, countering budget constraints and rising CPMs. We'll discuss the impact of social algorithms on reach, the trust deficit in traditional advertising and how influencer partnerships offer genuine connections with audiences. Attendees will gain actionable insights to integrate influencer marketing into their strategies, leveraging influencers for impactful campaigns in both B2B and B2C environments. Join us to unlock the potential of influencers in navigating the evolving marketing landscape of 2024 and driving meaningful business growth.
Key Takeaways:
- Educate on the various types of influence we can use as marketers
- Establish the problems that make influencers a priority
- Walk through some practical tactics on HOW to run a program leveraging several of these influence channels
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
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
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.
The Secret to Engaging Modern Consumers: Journey Mapping and Personalization
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Rhys Cater, Precis, The future of media buying with Generative AI.pdf
1. The future of media buying
with Generative AI
Rhys Cater
Chief Solutions Officer, Data & Tech
Precis
2. MEDIA DATA & ANALYTICS CREATIVE
People
+500
Managed media spend
€650m
Offices
SOLUTIONS
FACTS
CLIENTS
3.
4. AI is going to change
everything
What we see when we open LinkedIn
5. AI is just more technology
How we think about AI
6. It’s not the tech, it’s what you
do with it that counts
How we find value
7. Find the low hanging fruit of
workflows that can be faster and
more efficient with GenAI ➔
TABLE STAKES
8. More time on strategy, less
time on content generation 📝
Generative AI • Use Cases • Table Stakes
Generative AI is excellent at producing
content quickly. One Precis SEO case
showed a 50% increase in efficiency by
adopting new techniques. Keep in mind:
➔ More content is not always better
content
➔ Be strategic with content generation —
keep it connected to business goals
➔ Human oversight is key
9.
10. Generic use of AI will yield
generic results. A strategic
approach tied to business
outcomes is key ➔
CONNECT
11. Strategic integration of AI 💡
Generative AI • Use Cases • Creative
By integrating AI into our workflows with
Folq, Precis was able to:
➔ Spend time on strategic thinking and
the connection between the brand and
audience
➔ Experiment with Folq’s creative profile
➔ Enable more ad formats and
variations that benefit the algorithms
➔ Move fast at a low production cost
13. Make it easy to activate AI on
your own (clean, privacy-safe,
well-structured) data ➔
ACTIVATE
14. Integrating Generative AI into
Marketing Technology 🤖
At Precis, we integrate GenAI into our tech
platform (Alvie):
➔ Interactive data exploration — talk to
your data
➔ Get help and best practices quickly
and contextually
➔ Get recommendations as if working
with an expert
Generative AI • Use Cases • Marketing Technology
17. Generative AI is going to take
my job 😓
Generative AI • Organisation • Job security
A common concern across all industries is
that Generative AI will replace jobs. The
fears aren’t unfounded, as many companies
conduct layoffs and automate more tasks.
1 Skills transformation
GenAI is an incredible opportunity to unlock new
skills within your organisation. Tasks like writing
simple scripts are suddenly accessible to many.
2 Highest value tasks
Demonstrate how automating simpler,
process-driven tasks can enable people to learn
and grow within their careers by unlocking more
time for learning and development.
18. ChatGPT hallucinates and
creates bad quality outputs 🫠
Generative AI • Organisation • Quality
Concerns are rising about inaccuracies and
hallucinations in Generative AI outputs.
Should this stop you from jumping in and
adopting new technology in your processes
and strategies?
1 Humans + AI
GenAI isn’t ready to be used in an uncontrolled
way — human supervision is always required.
Build a culture of AI-enabled work.
2 Quality process
Incorrect or bad quality outputs due to
unsupervised AI can have a negative effect on
trust. Implement solid QA processes for all AI
powered outputs.
19. What about copyright laws on
generated content?
Generative AI • Organisation • Legal worries
Legal uncertainties can hold organisations
back from adopting AI tools. This could be
due to concerns about sharing confidential
data with platforms like AI, or copyright
issues with generated content where the
original sources are unclear.
1 Grey areas
Technology has always moved faster than
legislation, so expect many grey areas as
Generative AI develops. Creating your own code of
ethics can be helpful to find a way forwards.
2 Organisational alignment
Align your legal, finance, sales/marketing, and
product teams towards a common understanding
of what your organisation views as acceptable.
20. I hate change 🐌
Generative AI • Organisation • Change
That old chestnut. Some people just hate
change, and most people are at least a little
resistance to it and take time to adapt.
Creating excitement about AI as an
opportunity, rather than a threat, is key.
1 Create a vision
Show people what kind of organisation you want
to build, and the role of new technology such as
AI. Be transparent and make it motivating!
2 Involve everyone
Talk to your organisation, engage everybody in the
process, take feedback and act upon it. Ideas and
creativity are key to a successful AI strategy, and
many people will have contributions to bring to
the table.
21. What next?
Generative AI • What next?
Connect AI to strategy Set the foundations
Create a culture of
experimentation
The technology is nothing without
solid data foundations, processes,
and organisational structures. Use the
opportunity to audit your 1P data.
Technology is advancing every day. A
static strategy is sure to fail. Set a
vision, and ensure that you adapt as
technology develops.
Think about why you want to deploy AI
within your organisation and how it
connects to your objectives. Think
opportunities, not just efficiencies.