THE FUTURE OF PERSONALIZATION with GEN AI and REAL-TIME DATA.
Now, data is undergoing streaming ingestion and streaming processing. In other words, real-time data is now truly real-time data. Now, it is possible to deliver personalized experiences at the speed of thought, directly resonating with each individual, and the impact on businesses is simply mind-blowing.
📌 INDEX
🪣 1. INTRODUCTION.
🪣 2. WHO IS THIS ARTICLE FOR?
🪣 3. WHY REAL DATA IS IMPORTANT.
🪣 4. WHY REAL DATA IS HIGHLY INCREASING.
🪣 5. THE IMPACT OF REAL-TIME DATA and GEN AI.
🪣 6. REAL-TIME ACTIVITY IS TRANSFORMING ALL SECTORS.
🪣 7. BUSINESS CHALLENGES FOR EMBRACING REAL-TIME DATA.
🪣 8. AN ENCOURAGING END NOTE, FOR EMBRACING REAL-TIME DATA.
📌 APPENDIX
🪣 ABOUT THE AUTHOR.
🪣 ABOUT THE BLUEBUCKET BRAND.
🪣 SOURCES.
🪣 1. INTRODUCTION.
In today’s fast-paced digital landscape, businesses are faced with an urgent need to redefine the way they engage with their customers. The shift from conventional CRM-based audience clustering, reliant on platform data and first-party information, to the world of real-time Individualized Personalization powered by Gen AI, is nothing short of a game-changer.
The transformation is profound, as it represents the difference between merely categorizing customers into segments and delivering personalized experiences at the speed of thought. It’s about going beyond one-size-fits-all approaches and embracing a level of personalization that speaks directly to each individual.
In this article, we delve into the pressing importance of this transition.
NOW data is going on streaming ingestion and streaming processing, NOW real-time data is real.
NOW is possible to deliver personalized experiences at the speed of thought, directly resonating with each individual, and the impact on businesses is just mindblowing.
🤩 Come with me NOW, let’s dive into it!
🪣 2. WHO IS THIS ARTICLE FOR.
This article is for
- Marketers, who want to learn how to revolutionize customer engagement strategies in today’s digital age, driving better results and ROI.
- Data Analysts: Discover the power of real-time data and Gen AI to extract valuable insights and make data-driven decisions swiftly.
- Business Leaders: Understand how this transformative shift can enhance customer loyalty and increase revenue, positioning your company at the forefront of innovation.
- Entrepreneurs and small businesses: Having worked with family businesses and having friends and relatives who run their own small businesses, I understand the challenges you face. In this article, you’ll find that I empathize with your situation and offer the advice that I always put into practice when advising them.
- Tech Enthusiasts: Dive into the future of technology, exploring how Gen AI is reshaping the landscape and offering exciting opportunities for innovation.
- Sales Professionals: Uncover strategies to better connect with customers on an individual level, driving conversions and customer satisfaction. I’ve been working for over 23 years selling online, catering to various corporate cultures and sectors. Here, I share with you my advice and examples from my professional experience. Throughout my journey, I’ve encountered a myriad of challenges and triumphs, each adding depth and richness to my understanding of the online marketplace. From navigating diverse cultural landscapes to adapting strategies across different sectors, I’ve gained invaluable insights that I’m eager to share with you. Together, let’s explore the lessons learned and discover how they can inspire and guide your own endeavors in the ever-evolving world of online sales.
This article offers a perspective and understanding of the imperative shift towards GenAI real-time data personalization, providing valuable insights for those ready to embrace the challenge of this new era of streaming ingestion and streaming processing data for individual and immediate personalization.
I curated this article with care, under my professional experience, and with the best references, hope you enjoy it as much as I enjoyed writing it!
🚀 vamos, let’s go!
🪣 3. WHY REAL DATA IS IMPORTANT.
If we look at companies, 75% of them are currently using Artificial Intelligence, which has caused streaming data to multiply by five. By the end of 2024, 75% of companies will have transitioned from conducting AI pilot tests to implementing it in their operations. This will result in a fivefold increase in streaming data and analytical infrastructure. — GARTNER
But what’s driving all of this, you might wonder?
If we aim to harness machine learning and artificial intelligence to enhance business outcomes, it must rely on real-time data — this is what we refer to as streaming ingestion and streaming processing.
Here’s the lowdown — a whopping 80% of companies are seriously considering investing in real-time streaming capabilities next year. So, by the time we reach the end of 2023, the vast majority of companies won’t just be toying with trials. They’ll be implementing an artificial intelligence model that utilizes data streaming, machine learning, and real-time activation.
🪣 4. WHY REAL DATA IS INCREASING?
But what other reasons are behind the surge in real-time data?
I’ve already mentioned machine learning and artificial intelligence,
but let’s consider all conceivable practical cases and all the devices out there: manufacturing processes, sensors, vehicles, and wearable devices.
Now everything is connected to the internet, generating data that can be processed, analyzed, and used as a reference for action and decision-making.
Digital commerce is omnichannel; post-COVID, supply chains have had to rethink, and both dashboards and real-time business analysis methods are of vital importance. The end of the workday no longer means closing the door and letting tasks run as they did overnight; now, communications are digital.
There are more social networks, posts, and emails of all kinds. Current formats may not be those of the future, but all are based on real-time data. Worldwide, digital media consumption has skyrocketed — and I’m not just talking about video streams;
I’m also referring to social networks, texts, and everything else. Once again, we need to reach the people we work with wherever they are and on the devices they use.
🪣 5. THE IMPACT OF REAL-TIME DATA AND GEN AI IN BUSINESSES.
Companies from various sectors around the world are already leveraging real-time intelligence.
In this fast-paced world, companies are embracing the power of real-time intelligence like never before. It’s not just about staying ahead of the competition; it’s about connecting with customers on a deeper level and understanding their needs at an individual level. From cutting-edge technology firms to traditional industries, the embrace of real-time intelligence is revolutionizing how business is done. It’s not just a trend — it’s a fundamental shift towards a more responsive, agile, and customer-centric approach. And those who embrace it fully are the ones poised to lead the charge into the future.
In the examples I’m about to share, there are two of them that I speak from my own experience, as I served as the Chief Digital Officer at Grupo Suarez (Suarez Jewelry), and currently hold the same position at MediaMarkt, a company in the retail consumer electronics sector that generates over 2.5 billion euros in revenue in Spain.
Therefore, the impact figures I mention are firsthand, signed by my own experiences. Additionally, I’m sharing the link where these figures have been published. It’s about using our experiences to inspire others and drive meaningful change in the digital Real-time Data landscape.
🗒️ Example 1. VISUALLIZATION. REAL-TIME DASHBOARDS.
Biological science companies like Moderna use visualization functions to increase productivity and thus improve business outcomes. Thanks to real-time dashboards, Moderna has enabled its logistics teams to optimize shipments, reduce costs, and meet budgetary goals with over 60,000 shipments per year.
🗒️ Example 2. INTEGRATED DATA. REAL-TIME STOCK SYSTEM.
Suarez Jewelry has an integrated real-time stock system for both physical stores and online. Customers can view the availability of jewelry online and make purchases there, or they can visit physical stores.
🗒️ Example 3. REAL-TIME ADVERTISING.
MediaMarkt España, consumer electronic retail, main challenge is to adapt ads to the constantly evolving landscape of products and offers. With a GenAI-based technology, MediaMarkt achieved 13% more sales thanks to real-time advertising.
Example 4. ANALYTICS. REAL-TIME DATA INTERNAL PLATFORM.
Lufthansa, the major European airline, has managed to reduce costs, improve operational efficiency, and save over 30 million euros with a truly unified real-data platform.
🪣 6. REAL-TIME ACTIVITY IS TRANSFORMING ALL SECTORS.
The pulse of real-time activity is reshaping interactions with all stakeholders. It’s a symphony of connection, where every note plays a vital role in orchestrating meaningful experiences. From customers to partners to employees, the rhythm of real-time engagement fosters deeper connections, driving collaboration and understanding.
In this dynamic landscape, every interaction is an opportunity to inspire, to innovate, and to leave a lasting impression.
1️⃣ CUSTOMER INTERACTIONS.
> Behavioral analytics: Real-time data, coupled with behavioral analytics, has revolutionized customer interactions by providing deep insights into individual preferences and tendencies. Through the lens of behavioral analytics, we can understand not just what customers do, but why they do it. By analyzing real-time data on browsing patterns, purchasing behavior, and engagement metrics, we can tailor experiences to meet the unique needs and preferences of each customer.
This level of insight allows us to anticipate their needs, provide personalized recommendations, and ultimately enhance their overall experience with the brand.
For example, each time that you are navigating on a site, if they have real-time behavioral analytics, at the same time that you are navigating they anticipate your next steps on it and are presenting your products or offers based on the data that are collected from you at this same time, connected with the historical data day may have from you if you are from their club member.
> Customer Journey Optimization. During my professional career, with my CRO ( Conversion Rate) team, we implemented a customer journey optimization strategy focused on cart recovery for customers experiencing card denials. By leveraging real-time data analytics, we identified a significant opportunity to improve the recovery rate for abandoned carts by over 13%.
Through targeted communication and strategic interventions at critical touchpoints along the customer journey, we were able to guide customers through the checkout process, address payment issues promptly, and ultimately encourage them to complete their purchases.
This not only resulted in a tangible increase in revenue but also strengthened customer trust and loyalty by demonstrating our commitment to providing a seamless shopping experience.
> Personalization of Offers. Real-time data empowers us to personalize offers based on each customer’s unique purchase history and preferences. By analyzing real-time data on past purchases, browsing behavior, and demographic information, we can tailor promotions and recommendations to resonate with the individual interests and needs of each customer.
In doing so, we create a real-time more personalized, and relevant shopping experience that fosters deeper connections with our customers.
This level of personalization not only drives higher conversion rates and revenue but also enhances customer satisfaction and loyalty by demonstrating that we understand and value their individual preferences.
2️⃣ PARTNERS INTERACTIONS.
> Real-time data empowered a retail partnership to adapt swiftly to changing holiday trends, resulting in increased sales and customer satisfaction.
> Sharing real-time sales insights led to optimized in-store strategies, driving higher foot traffic and revenue, and deepening the partnership’s collaboration.
> Leveraging real-time customer feedback, a retail duo revamped their loyalty program, fostering stronger customer engagement and brand loyalty.
3️⃣ INFLUENCERS INTERACTIONS.
> Personalized Interactions. Real-time data has revolutionized how influencers engage with their audience by enabling personalized interactions that resonate on a deeper level.
With access to real-time insights, their content will connect with their followers on a more personal and meaningful level.
This level of personalization fosters a sense of connection and authenticity, strengthening the bond between influencers and their audience. By delivering content that speaks directly to the interests and preferences of their followers, influencers can drive higher levels of engagement, loyalty, and trust.
> Community Analytics:
Real-time data analytics empowers influencers to understand and nurture their online communities more effectively. By analyzing real-time data on community engagement, sentiment, and behavior, influencers can gain valuable insights into the dynamics of their audience and identify opportunities to foster deeper connections and collaboration. Whether it’s responding to trends, addressing concerns, or fostering a sense of belonging, real-time community analytics enable influencers to cultivate a thriving and engaged community that feels valued and supported. This fosters a sense of camaraderie and belonging among followers, strengthening the bond between influencers and their community.
>Dynamic Experiences: Real-time data allows influencers to create dynamic and immersive experiences that captivate and engage their audience. By leveraging real-time insights into audience preferences, behavior, and trends, influencers can deliver content that is timely, relevant, and compelling. Whether it’s live streaming, interactive storytelling, or real-time Q&A sessions, real-time data enables influencers to adapt and respond to audience feedback and preferences at the moment, creating experiences that are spontaneous, authentic, and memorable. This fosters a sense of excitement and anticipation among followers, driving higher levels of engagement, participation, and loyalty.
🗒️ Let’s try to address this, with a real example.
I follow a Sports influencer named Mikala, who specializes in fitness and wellness content. With real-time data insights at her fingertips, Mikala learned that many of her followers are interested in at-home workout routines and healthy meal ideas. Armed with this knowledge, Mikala decided to create a series of personalized interactions tailored specifically to her audience’s interests.
Now, let’s imagine that she starts by addressing her followers by name during live streams, making each viewer feel seen and valued. Mikala also incorporates real-time polls and Q&A sessions into her content, allowing her audience to actively participate and shape the direction of her videos.
In addition, Mikala uses real-time data to curate custom workout plans and meal prep guides based on her followers’ individual fitness goals and dietary preferences.
By delivering content that directly addresses the needs and desires of her audience, Mikala creates a sense of connection and authenticity that fosters a deep bond between herself and her followers.
As a result of these personalized interactions, Mikala’s engagement metrics soar, with followers commenting, liking, and sharing her content at unprecedented rates. The trust and loyalty that Mikala has cultivated with her audience translate into tangible benefits, as brands clamor to partner with her on sponsored content and collaborations.
Through the power of real-time data and personalized interactions, Mikala has not only transformed her relationship with her audience but also achieved newfound success and fulfillment in her influencer journey.
4️⃣ MARKET INTERACTIONS.
> Enhanced Decision-Making. Real-time analytics empower market participants to make informed decisions effectively. By analyzing up-to-the-minute market data, trends, and consumer behavior, stakeholders can identify emerging opportunities and risks in real time, allowing them to capitalize on market shifts and mitigate potential threats promptly.
> Improved Performance Monitoring. Real-time analytics enable market participants to monitor performance metrics and key indicators in real time, providing valuable insights into the effectiveness of strategies and initiatives.
Stakeholders can identify areas for improvement and adjust their approach accordingly to maximize performance and drive growth.
> Increased Competitive Advantage. Real-time analytics provide market participants with a competitive edge by enabling them to stay ahead of the curve and outmaneuver rivals.
🗒️ Example:
Consider a retail company operating in a highly competitive market, let’s take the one that I am working on right now, Mediamarkt in consumer electronic goods. By utilizing real-time analytics, the company can enhance decision-making by monitoring real-time sales data and consumer behavior patterns. For instance, if Mediamarkt notices a sudden surge in demand for a particular product category, a real one will be air fryers, it can quickly adjust inventory levels and marketing strategies to capitalize on the opportunity.
Additionally, real-time analytics allow the company to monitor performance metrics such as sales conversion rates and customer satisfaction scores in real-time. If performance metrics indicate a decline in customer satisfaction, MediaMarkt can promptly address the issue by implementing targeted improvements, and enriched content on the site and social media, to enhance the customer experience.
Furthermore, by leveraging real-time insights into competitor actions and market trends, Mediamarkt can proactively adapt its strategies to stay ahead of competitors. For example, if a competitor launches a new promotional air fryer campaign, MediaMarkt can quickly analyze its impact and respond with a competitive countermeasure to maintain its market position.
In this way, real-time analytics enable MediaMarkt to make informed decisions, monitor performance effectively, and gain a competitive advantage in the market, ultimately driving growth and success.
5️⃣ EMPLOYEES INTERACTIONS
> Enhanced Workforce Management. Real-time analytics enable retail companies to optimize workforce management by providing insights into employee productivity, scheduling efficiency, and resource allocation.
By analyzing real-time data on employee performance and store operations, companies can identify staffing needs, allocate resources effectively, and ensure that the right people are in the right place at the right time to meet customer demand.
> Improved Employee Engagement. Real-time analytics empower retail companies to enhance employee engagement by monitoring employee satisfaction, morale, and feedback in real time.
By tracking metrics such as employee turnover rates and sentiment analysis, companies can identify factors affecting employee engagement and take proactive measures to address them.
This fosters a positive work environment where employees feel valued, motivated, and empowered to perform at their best.
> Increased Compliance and Risk Management. Real-time analytics support retail companies in ensuring compliance with labor laws, regulations, and company policies by monitoring employee behavior and adherence to guidelines in real time.
By analyzing data on employee activities, attendance, and performance, companies can identify potential compliance issues and take corrective action promptly to mitigate risks and maintain regulatory compliance.
🗒️ Example:
I will take again MediaMarkt, as an example, leveraging real-time analytics to enhance Workforce Management.
MediaMarkt uses real-time analytics to monitor store traffic patterns, sales trends, and customer demand. Based on this data, the company adjusts employees to optimize resource allocation across different departments. For example, if real-time data indicates a sudden surge in customer foot traffic in the smartphone department, MediaMarkt promptly reallocates additional staff to provide personalized assistance and support to customers, enhancing the overall shopping experience.
6️⃣ INTERACTIONS WITH MACHINES.
Let’s continue with MediaMartk as an example,
> Enhanced Operational Efficiency. Real-time analytics empower MediaMarkt to optimize the performance of its self-checkout machines by monitoring transaction data, identifying bottlenecks, and adjusting operational procedures in real time. This ensures smoother transactions, shorter wait times, and improved overall efficiency.
> Improved Predictive Maintenance. Using real-time analytics, MediaMarkt can proactively detect potential issues with its vending machines, such as low inventory levels or mechanical failures. By analyzing real-time data on machine health and performance, the company can schedule maintenance tasks and replenishments before problems arise, minimizing downtime and maximizing customer satisfaction.
> Enhanced Customer Experience. By leveraging real-time analytics, MediaMarkt personalizes the user experience on its interactive kiosks and digital displays in the stores. These machines analyze real-time customer data to deliver tailored product recommendations, promotions, and interactive experiences in the physical stores that resonate with each shopper, enhancing engagement and driving sales.
🗒️ Example:
Imagine a customer, Emily, visiting her local MediaMarkt store to purchase a new smartphone. As she approaches the self-checkout machine to complete her purchase, the machine uses real-time analytics to analyze transaction data and identify any potential issues, such as a slow processing speed or a high error rate. Thanks to real-time insights, the machine adjusts its operational parameters, ensuring a seamless and efficient checkout experience for Emily.
Meanwhile, in another aisle, a vending machine stocked with phone accessories detects low inventory levels for screen protectors based on real-time sales data. The machine automatically generates a restocking request, prompting a MediaMarkt employee to replenish the inventory before it runs out, ensuring that customers like Emily always have access to the products they need.
Finally, as Emily navigates through the store, she encounters an interactive digital display showcasing the latest smartphone models. The display uses real-time analytics to analyze Emily’s browsing behavior and preferences, delivering personalized product recommendations and exclusive promotions tailored to her interests. This personalized experience captivates Emily’s attention, encouraging her to explore further and ultimately make a purchase.
In this scenario, real-time analytics enhance operational efficiency, enable predictive maintenance, and deliver a personalized customer experience, demonstrating the transformative impact of analytics on interactions with machines in a retail environment like MediaMarkt.
Real-time activity is transforming every sector.
This wave of transformation is not just reshaping industries; it’s revolutionizing the way we interact, operate, and thrive in our interconnected world.
. In healthcare, the ability to monitor patients in real time isn’t just about data collection; it’s about saving lives and improving the quality of care. It’s about giving patients and their loved ones peace of mind knowing that help is always just a heartbeat away.
. In financial services, real-time fraud detection isn’t just about protecting assets; it’s about safeguarding the trust and confidence of customers. It’s about empowering individuals to manage their finances with peace of mind, knowing that their hard-earned money is safe and secure.
. In telecommunications, real-time data analysis isn’t just about optimizing networks; it’s about keeping people connected in an ever-changing world. It’s about bridging distances, fostering communication, and enabling innovation that empowers communities to thrive.
. In the manufacturing sector, real-time inventory management isn’t just about streamlining operations; it’s about ensuring the seamless flow of goods and services that drive economies forward. It’s about minimizing waste, maximizing efficiency, and creating sustainable solutions for generations to come.
In every sector, real-time analytics isn’t just a tool; it’s a catalyst for transformation, a beacon of hope in a world of uncertainty. It’s about harnessing the power of data to unlock new possibilities, inspire innovation, and build a brighter future for all.
🪣 7. BUSINESS CHALLENGES FOR EMBRACING REAL-TIME DATA.
For me, the main reason is to deeply recognize the vital importance and fundamental necessity of having real-time data.
It’s absolutely critical to understand that access to real-time data today is not just desirable — it’s absolutely essential for any business to survive and thrive in this era of artificial intelligence. Artificial intelligence hinges entirely upon having well-informed data, and having it accurately informed — clean data without duplications; data we can unequivocally trust to build upon.
It’s about grasping the fact that real-time data isn’t just a nice-to-have — it’s an absolute lifeline for businesses desperately striving to stay relevant and competitive in an ever-shifting digital landscape. Without timely access to accurate data, businesses are not merely at risk of falling behind their competitors — they’re teetering on the brink of irrelevance, potentially missing out on crucial opportunities for growth, innovation, and survival.
Right now, I can picture friends or family members who are entrepreneurs reading this article, and they might say that my perspective is based on working in multinational environments where we have the tools and talent to make it happen, but that a family business is far removed from this reality. And you know what? I completely understand where they’re coming from, and I don’t blame them one bit. But here’s the thing — I truly believe that every business, no matter how small or family-oriented, can benefit immensely from having well-informed customer data.
Even if it seems like a small step, trust me when I say that in today’s world, with AI at our fingertips, having accurate and up-to-date data can work wonders. So, I urge you, with all the passion and enthusiasm I can muster, to please,
if you haven’t already, roll up your sleeves and get to work on it. A well-maintained Excel spreadsheet may seem mundane, but believe me, it’s worth its weight in gold!
So apart from being conscious about well-informed customer data
Challenge 1: Data and tech Talented People.
It’s not easy to hire someone or train others in its application. For your new and future employees, using streaming data with minimal effort is necessary for them to get to work right away.
Challenge 2: Audiences are increasing.
Due to the increasing audiences, event-based applications, inflexible data processing, and traditional batch systems, implementing data streams is a real obstacle, no matter how much we understand their business value.
Challenge 3: Truluy Real time.
When it comes to automation, real-time must truly be real-time. Missed opportunities due to outdated data prevent taking action as required for predictive maintenance. That’s why decision-making must be automated in real-time. Additionally, automation frees up workers to add value in the way they do best.
Challenge 4: Integration complexities.
Real-time data integration with existing systems and infrastructure can be complex and challenging, requiring significant time and resources to implement effectively.
Challenge 5: Data quality assurance:
Maintaining the quality and accuracy of real-time data streams can be difficult, especially when dealing with large volumes of data from multiple sources. Ensuring data integrity and reliability is crucial for making informed decisions.
Addressing these challenges requires a comprehensive approach, including investing in training and education for employees, adopting flexible and scalable data processing solutions, and implementing robust data governance practices to ensure data quality and integrity.
So if anyone is here reading this, still a very small company, these are my recommendations.
Every time I help a friend or a family member we start by identifying small but critically important steps that can make a big difference.
Here are some easy examples and accessible tools they can consider:
1️⃣ Excel Spreadsheet for Customer Data:
Encourage them to create a well-organized Excel spreadsheet to track customer information such as contact details, purchase history, and preferences.
As I said before, and is good to bring it up again, this can be a simple yet effective way to start building a centralized database of customer data.
2️⃣ Google Forms for Data Collection:
Suggest using Google Forms to collect customer feedback, inquiries, or survey responses. It’s free, user-friendly, and allows businesses to gather valuable insights directly from their audience.
4️⃣ Mailchimp for Email Marketing:
Recommend Mailchimp, which is the most wider well know tool for email marketing, for managing email marketing campaigns. It’s affordable, offers easy-to-use templates, and provides basic analytics to track email open rates and click-through rates.
But since we are overloaded with emails, you can use other alternatives to contact your clients, send them sms, or just a nice call to maintain the vibes and for them to have you in their top of mind.
4️⃣ Trello for Task Management:
I recommend Trello, or I have been using Notion, and is free in family businesses, for task management and collaboration. It’s intuitive, visually appealing, and helps teams stay organized with boards, lists, and cards.
5️⃣ HubSpot CRM for Customer Relationship Management:
HubSpot CRM for basic customer relationship management. It’s free, integrates with Gmail and Outlook, and offers features like contact management, email tracking, and deal pipelines.
And again a good well informed excell goes first!
6️⃣ Hiring a Freelance Consultant:
I encourage to ALL small businesses to consider hiring freelance consultants or specialists on Data clients. They can provide targeted expertise and guidance on specific challenges such as data management, automation, or analytics.
By starting with these small but critical steps and leveraging accessible tools and resources, very small businesses can gradually build their capabilities in handling real-time data and addressing the challenges they face.
We are in the era of freelancing, with remote work on the rise. This means that accessing these resources is easier than ever before. Businesses can easily hire freelancers on platforms like Upwork or Freelancer and pay for the hours they work on the project. You can start by hiring them for a few hours to tackle a critical task, assess the impact, and see if it works before committing to a larger project.
This approach allows for flexibility and experimentation, enabling businesses to find the methods that work best for them.
here 2 platforms to find remoting, tech, and qualified people:
I know one of the persons behind this project, she is Aleyda Solis one of the top tech freelancers that I have had the privilege to work with.
The second platform I am not familiar with it, but for giving another alterative.
🪣 8. END NOTE.
If you are here reading this end note, THANK YOU this means that you are addressing the most essential point of being aware of the importance of real-time data. Also thanks for your time and I hope you enjoyed and learned.
As we journey through the realm of real-time data personalization in the age of GenAI, let us embrace the unprecedented opportunities it presents.
Don’t let yourself fall behind. The world is moving forward at an unprecedented pace, and the time to adapt and embrace change is now. With real-time data personalization leading the way, there’s no room for hesitation or complacency.
NOW, with data streaming and processing in real-time, we have entered a realm where personalized experiences can be delivered at the speed of thought, resonating directly with each individual.
The impact of this shift on businesses is nothing short of mind-blowing. And if you’re a small business owner, hope you took your golden ticket. Within this article, you have discovered invaluable advice to embrace real-time data, democratized by AI for everyone.
We are in a long learning life.
Be fearless, embrace the change.
I see you in the next article, please subscribe to my publications, by learning together we will get stronger.
IKUZO 行くぞ
📌 APPENDIX
🪣 ABOUT THE AUTHOR.
🛎️ Linkedin
🛎️ Web3 sub-Community Founder.
. 🤖 Mar Fernández as a AI Speaker:
Finalcial Newspaper, El Economista
. 🤖 Mar’s AI large articles:
. 🤖 Mar’s AI small posts:
📍WEB 3 large articles
🪣 INTRODUCING BLUBUCKET BRAND.
The Bluebucket brand is an Elemental NFT that is part of the AZUKI NFT project.
Among my AZUKI NFT collection, I carefully handpicked this particular piece for its captivating narrative. Within the pixels, a character emerges, seamlessly blending technological marvels with an enchanting whimsy that sparks the imagination.
Behold the BlueBucket Azuki — a digital enigma that beckons curiosity. At first glance, a large azure bucket perches atop the character’s head, hinting at a playful mystique. Is it a helmet, a shield, or perhaps a vessel cradling a “robotic brain” teeming with artificial intelligence and cognitive wonders?
A symphony of details unfolds as your eyes traverse the artwork. The uniform-clad figure sports a mechanical arm, a cybernetic appendage suggesting a journey into a future where technology and humanity harmoniously coexist. It’s a subtle dance between man and machine, evoking notions of enhanced capabilities and functions.
Zoom in, and you’ll discover the intriguing “AZUKI” detail — the brand that whispers of affiliations To the Azuki Collection.
Yet, amid the metallic sheen and futuristic aesthetics, the character stands against a canvas adorned with stars, a celestial backdrop that introduces an element of fantasy and cosmic exploration. It’s a visual tapestry that seamlessly weaves together the realms of science fiction and cartoonish Anime charm, inviting you on an adventure through uncharted territories of the future.
In this NFT, the BlueBucket Azuki transcends the boundaries of mere pixels, encapsulating a story that invites you to embark on a journey where technology, whimsy, and the cosmos converge in a symphony of imagination and futurism.
🪣 SOURCES.
https://youtu.be/PxBbn4gQCb0?si=GX-iSZP3IcoftyG0
https://www.gartner.com/en/articles/demand-grows-for-intelligent-applications-powered-by-ai
https://masterofcode.com/blog/generative-ai-and-personalization
https://www.youtube.com/watch?v=J0w4sFgD_x4&t=953s
https://www.linkedin.com/feed/update/urn:li:activity:7158041933892747265
https://www.ibm.com/watson/ai-customer-service-smartpaper/#real-world-success-stories
https://www.bcg.com/publications/2023/how-generative-ai-transforms-customer-service
https://www.ibm.com/account/reg/es-es/signup?formid=urx-43183
