Remember the cool filters that turn you into a cat on Snapchat? Or the art generator Dall-E that creates images based on simple input? AI is behind those too.

Maybe you’ve heard these stories and thought “AI sounds amazing, but it’s WAY too complicated for me.” Here’s a secret: you don’t need to be a tech wiz to understand AI.

With the right guidance, anyone can embark on an AI learning journey, starting from scratch. Imagine going from “AI? Huh?” to using it to solve real-world problems in Nepal. This is possible with the Fusemachines AI Fellowship Program.

This blog is your invitation to explore AI, overcome your doubts, and discover how you can turn your curiosity into valuable skills. So, put on your learning hat, get ready for a fun ride, and let’s begin your transformation from beginner to expert!

From Curious Newbie to Foundational Fighter

Remember feeling nervous and excited on your first day of school? Imagine starting an exciting new adventure, but instead of textbooks and classrooms, you’re surrounded by supportive peers and industry experts, all geared towards one goal: unlocking the world of AI.

That’s exactly what the initial phase of the Fusemachines AI Fellowship feels like. We know diving into AI can be overwhelming, so we start with building a strong foundation. Think of it as climbing a ladder, but each step equips you with the knowledge and skills to confidently take the next.

Here’s what “beginner’s steps” look like:

Building the basics: Remember building Lego castles as a kid? We start similarly, but instead of colorful bricks, we work with the building blocks of AI: programming basics (if needed), essential math concepts, and the core principles of machine learning. Don’t worry, even if you’re new to these terms, our experts will guide you patiently, step-by-step.

Learning by doing: Memorizing facts is cool, but applying them is even cooler! That’s why the program integrates hands-on projects from the very beginning. Imagine building your own mini AI program or analyzing real-world data—all while having experts by your side to answer your questions and celebrate your progress.

A supportive community: Remember those nervous first-day jitters? Well, forget them! You’ll be surrounded by fellow AI enthusiasts, just like you, creating a supportive learning environment. Ask questions, share ideas, and learn from each other.

This initial phase might seem basic, but trust us, it’s crucial. You’ll be amazed at how quickly you progress from a complete beginner to someone confidently navigating the fascinating world of AI. And that’s just the beginning of your incredible journey!

From Foundations to Future-Ready: Shaping Your AI Journey

The next step in your AI journey takes you beyond fundamentals as you begin crafting your own personalized skillset, tailored to address Nepal’s unique needs and opportunities.

This phase empowers you to:

Dive deeper into AI concepts: Explore areas that fascinate you, be it natural language processing, computer vision, or machine learning algorithms.

Shape your learning path: Collaborate with mentors and peers to design projects that challenge and inspire you, applying your skills to problems you find meaningful.

Develop a Nepal-focused perspective: Gain insights into the country’s unique challenges and opportunities, ensuring your AI knowledge has direct relevance and impact.

Engage in hands-on projects: Tackle real-world challenges alongside organizations and communities in Nepal, gaining practical experience and making a difference.

Receive expert guidance: Learn from industry professionals who share their knowledge and help you navigate the world of AI.

Build a supportive network: Connect with like-minded individuals and experts, fostering collaboration and ongoing learning within the AI community.

By the end of this phase, you won’t just be an AI enthusiast; you’ll be a future-ready AI practitioner, equipped with the tools, skills, and Nepal-focused perspective to:

• Contribute to innovative solutions for Nepal’s challenges.
• Become a leader in shaping the future of AI in your community.
• Embark on a fulfilling career that makes a lasting impact.

Transformation and Expertise: Your AI Journey Starts Now

Ready to transform your curiosity into AI expertise and contribute to a brighter future for Nepal? Imagine yourself joining a supportive community of aspiring AI professionals, guided by industry experts, and equipped with the skills to tackle real-world challenges. This is the transformative power of the Fusemachines AI Fellowship Program.

More than just learning AI:

The program goes beyond teaching technical skills. It fosters:

Problem-solving mindset: Identify and analyze real-world challenges unique to Nepal, developing innovative AI solutions that make a tangible impact.

Critical thinking and innovation: Push the boundaries of AI applications, exploring creative solutions tailored to your community’s needs.

Growth mindset: Embrace continuous learning and adapt to the ever-evolving world of AI, becoming a lifelong learner and leader in the field.

Your transformation story can begin today. Applications for the next cohort of the Fusemachines AI Fellowship Program are now open! Apply now!

Here’s your chance to:

Learn from the best: Gain mentorship from industry experts and renowned faculty, acquiring practical knowledge and industry insights.

Collaborate with peers: Join a vibrant community of aspiring AI professionals, fostering learning, support, and lifelong connections.

Tackle real-world projects: Apply your skills to hands-on projects, addressing Nepal-specific challenges and making a difference in your community.

Bottom line

Don’t just read about transformation, embrace it. Join the Fusemachines AI Fellowship and unlock your potential to impact Nepal’s future. Apply now, applications close on [date]. 

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Job Concerns

There are widespread concerns about jobs being lost due to AI automation, and while these concerns are valid, job loss doesn’t mean a scarcity of jobs. It is estimated that AI will create 97 million new jobs by 2027, and it is crucial to train for the job transformation in order to fill these new roles.

Though job loss is a concern, the shortage of AI talent is simultaneously stunting the ability of countries and organizations around the world looking to embrace transformation led by AI. Combined, these concerns point to a rising need to invest time and resources in educating and (re)training the workforce. 

According to a recent IBM report, around 120 million people around the world will need retraining to fit the job market. This includes 11.5 million people in the US. The current workforce will also need re-skilling in the coming years to support the shift towards AI and intelligent automation. 

AI Talent Shortage

Though there has been a 19% increase in AI specialists over the last year, the amount of AI experts remains alarmingly small given the growing prevalence of AI. 

The scarcity of AI expertise is an impediment to the technology’s adoption. Recent research reports that 56% of senior AI specialists say a shortage of new, competent AI personnel is the most difficult barrier to achieving AI application throughout business operations.

Bridging the AI talent gap

One strategy to overcome the AI skills gap is to invest in education for digital, math, and technological education. While increasing the number of STEM and computer science students will help, it won’t solve the problem entirely.

According to the World Economic Forum, more than half (54%) of all employees worldwide will need major reskilling by 2022. To eliminate the AI skill gap, companies must confront the issue head-on and invest in re-skilling their workforce. 

Bottom Line

There is no easy solution to the problem of AI skill shortage. Businesses must exercise caution and make the best use of limited resources while investing in strategies that will deliver long-term results rather than one-time remedies. More importantly, firms must plan think long term when it comes to recruiting, employing, and overseeing the newly arriving cohort of AI talent. 

Fusemachines AI Fellowship Program in Latin America is a comprehensive program to train and provide a platform for students of the region to launch their AI careers. Learn more about the program here.

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What is Artificial Intelligence (AI) Marketing, and How does it Work?

Artificial Intelligence (AI) marketing makes automated decisions based on collected data and conducts further assessments of audience or consumption patterns that may influence marketing efforts. Teams can widely use AI for smart marketing in initiatives where speed is everything.

Likewise, AI systems understand how to communicate with customers based on data and customer profiles. Furthermore, these systems also deliver personalized content at the right time without human intervention, assuring maximum productivity.

Similarly, many marketers employ AI for smart marketing to assist their teams, or carry out more tactical tasks that require less human expertise. Such tasks can include automated decision-making, data analysis, and real-time personalization, among others.  

AI in Marketing: What It Is and What It Isn’t

Artificial Intelligence is essential in helping marketers connect with customers. As such, the following AI marketing components make up today’s leading solutions. They can help bridge the gap between customer data acquired and the practical steps marketing teams can take for future campaigns-

• Solutions for AI Platforms

AI-powered solutions give you a single platform to manage massive amounts of data. These platforms then provide you with actionable marketing knowledge about your target audience. Consequently, the platform then allows you to make data-driven judgments about how to best communicate with customers. Frameworks like Bayesian Learning and Forgetting, for example, help marketers determine how responsive a customer is to a particular marketing tactic.

• Machine Learning (ML)

Artificial Intelligence drives machine learning– algorithms that study data and improve automatically over time. The machine learning devices, thus, assess new data in the context of historical data. Subsequently, the assessment allows them to make decisions based on what has or has not worked successfully.

• Metrics and Big Data

Similarly, with the rise of digital media and big data, marketers can also evaluate their efforts better. Teams can also correctly allocate value across channels. To elaborate, there is an overabundance of data. Hence, many marketers face challenges when it comes to establishing which data sets are worth gathering.

How Can Artificial Intelligence (AI) Be Used in Marketing?

A well-thought-out strategy is critical when using AI in marketing campaigns and operations. It will help marketing teams avoid costly difficulties. Additionally, a good strategy can also help teams quickly get the most out of their AI investment.

Before using AI technology for marketing efforts, there are a few critical factors to consider:

• Objectives

Firstly, as with any marketing program, it is vital to establish defined goals and marketing metrics from the beginning. Start by identifying regions inside campaigns or procedures where AI could assist, or segmenting. To enhance customer experience, defining KPIs will reveal how successful the AI-enhanced campaign has been.

• Data Protection Regulations

Secondly, when you begin your AI program, make certain that your AI platform will not cross the border of acceptable data-use in the name of personalization. Thus, to preserve compliance and consumer trust, make sure you concretely define privacy rules. Then, program them into platforms as needed.

• Sources and Quantity of Data

Similarly, to get started with AI marketing, marketers have to have access to a multitude of data on client preferences, external trends, and other variables that will affect ad performance. As such, teams can glean this information through the company’s CRM, marketing initiatives, and website. Likewise, marketers can also use second-and third-party data. This can include location, weather, and other environmental factors that influence a purchase.

• Recruit Data Science Experts

The next point to consider is this- many marketing teams lack data science and artificial intelligence skills. This can make it challenging to work with large amounts of data and derive insights. Thus, to get projects off the ground, companies should collaborate with third-party organizations that help with data collecting, analysis, and continue maintenance.

• Ensure Data Quality

Finally, machine learning systems learn how to make decisions by ingesting more data. However, insights are ineffective when data is not standardized or error-free. AI algorithms may even make decisions that harm campaigns. Hence, before using AI marketing, marketing teams must work with data management teams and other business lines to build data cleansing and management processes.

Choosing a Machine Learning Platform

A vital initial step when it comes to AI for smart marketing is selecting the right platform for launching an AI marketing campaign. Marketers should be careful to identify gaps the platform attempts to address and choose solutions based on their capabilities. For example, products used to boost customer satisfaction with AI require different functionality than tools used to improve speed and productivity. 

Additionally, keep in mind the level of transparency you’ll need to understand why an AI platform came to a particular conclusion. Depending on the algorithm, marketing teams may receive a clear report on why AI made particular decisions, and which data influenced the conclusion.

You can also read our previous blog about how businesses can leverage AI: 10 Benefits and Applications of AI in Business.

Those who do not use AI marketing will be replaced by those who do. According to Gartner, folks in charge of marketing insights will no longer be as successful in this new marketing landscape if AI is not leveraged.

The post AI for Smart Marketing appeared first on Fuse AI.

After all, every company must progress in this industry because every company offers a product that provides support to users. Consumers use technology and link to network providers in order to “stay connected” and wield the power of looking up almost any information in the palm of their hands. Such product lines include Siri, Google Allo, and Bixby, among many others. There are also a plethora of goods from different companies on the market that use AI methods to help users obtain relevant data or complete required tasks.

Samsung and AI

Similarly, Samsung also uses AI to provide personalized content suggestions to users. The Samsung Research Center has seven AI centers in five countries: Korea (Seoul), Canada (Montreal and Toronto), Moscow, the United Kingdom (Cambridge), and the United States (New York and Silicon Valley), all working towards providing its clients with fresh AI-based insight and value. Several of the brand’s most recent products have also used Machine Learning (ML) to allow users to enjoy and explore cutting-edge future generation AI techs.

In like manner, along with Samsung, Apple and Huawei have also imbued their smartphones with AI chips capable of doing nearly 5 trillion operations per second while consuming significantly less power.

At a forum session in 2020, Samsung presented its long-term humanist vision for its AI strategy. The company aspires to provide purpose-built applications that improve end-user experiences. Rather than chasing new-fangled technology, Samsung is more interested in emphasizing personalization, seeking to assist its users in discovering items that meet their needs and budgets while also providing exclusive experiences.

Listed below are some ways AI in Samsung Products is used.

Samsung’s Virtual Assistant Bixby

Like all virtual assistants, Bixby’s goal is to make customers’ lives easier and more convenient. It does so by assisting them in completing activities and answering inquiries by understanding language and speech patterns based on their requests.

Bixby’s features include:

• Bixby Routines: Bixby observes exclusive behavior patterns and suggests an automated task routine.
• Making Enhanced Predictions: As per the received input, Bixby guesses the user’s requirements and offers personalized recommendations.
• Managing the User’s House: Bixby can switch TV channels, switch house lights on and off, and also control the thermostat.
• Quick Command: Once the user sets a trigger command, Bixby can execute a set of tasks in a particular order. These commands can include generating a command for a “morning routine,” which can incorporate sharing the weather report or playing a morning playlist.

Household Robots

Samsung Bot Handy was unveiled as an AI-powered domestic robot during the Consumer Electronics Expo in January 2021.

Although the robot is still in development, it has been designed to perform chores and lend a helping hand around the house. The robot may help the user by doing laundry, filling the dishwasher, setting the table, arranging groceries and laundry, and even pouring a glass of wine.

Smart TVs

AI enables Samsung TVs to provide viewers with personalized content recommendations. Meanwhile, NLP allows users to control volume, apps, and channels with voice requests.

Likewise, Machine Learning is also constantly improving the resolution quality of the platform’s Smart TVs. AI upscales the resolution to 8k to provide viewers with an engaging picture and an excellent viewing experience.

Smartphone Cameras

Samsung’s AI-powered smartphone cameras have improved visual detection capabilities, allowing users to shoot high-quality photos while having fun.

Samsung cameras also shoot better portrait photos. It does so because of its capacity to recognize faces. The AI can also optimize exposure and skin tones in changing lighting conditions. Additionally, the AI also aids in storage by allowing saved pictures to be categorized, allowing users to locate the images they are seeking as they browse quickly.

You can also read our previous blog that details how Google uses AI: How Google uses AI to Improve Search.

Conclusion

AI and Machine Learning can revolutionize technology. AI in Samsung products and other leading manufacturers continuously integrate ML and AI algorithms in fresh and appealing ways. Doing so offers enhanced experiences for their customers. It also helps maintain its place amidst the competition.

The Fuse.ai center is an AI research and training center that offers blended AI courses through its proprietary Fuse.ai platform. The proprietary curriculum includes Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision courses. Certifications like these will help engineers become leading AI industry experts. It also aids them in achieving a fulfilling and ever-growing career in the field.

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