Latest news with #TensorFlow
Time of India
9 hours ago
- Science
- Time of India
Careers in Artificial Intelligence: 8 power moves to start and succeed
Artificial Intelligence (AI) is driving the next wave of global innovation. From helping doctors detect diseases earlier to powering self-driving cars and virtual assistants, AI is becoming an essential part of industries across the world. For students and professionals alike, this is one of the most future-proof and exciting career paths available. But entering the field can feel overwhelming without the right roadmap. Here are 8 power moves that will help you start strong and build a rewarding AI career. Understand the AI Ecosystem Before diving in, it's important to understand what AI actually includes. AI is not one single technology but a group of interrelated fields. These include machine learning, which enables computers to learn from data; natural language processing, which helps machines understand human language; computer vision, which allows systems to interpret visual input; robotics, which combines hardware with intelligence; and emerging fields like generative AI, which creates content like text, music, and images. Knowing the landscape will help you make informed choices about which direction to take. Build a Strong Educational Foundation AI is a technical field, so a solid background in mathematics, programming, and data handling is crucial. You don't need a PhD to get started, but a strong grasp of concepts like linear algebra, probability, and basic statistics will be incredibly useful. Programming—especially in Python—is at the core of most AI work. Many successful AI professionals begin with computer science or data science degrees, while others learn through coding bootcamps, online certifications, or self-study. Whatever route you take, consistency and depth of understanding matter more than credentials alone. Choose a Specialization Early Trying to master everything in AI at once can be overwhelming. Instead, focus on one area that aligns with your interests. For instance, if you're fascinated by language, natural language processing might be a good fit. If you're more visually inclined, computer vision could be your calling. Those interested in research might enjoy exploring deep learning or reinforcement learning. Narrowing your focus will help you develop expertise and build targeted projects that reflect your interests and skills. Learn the Right Tools and Technologies Once you've identified your focus, it's time to learn the tools that professionals use every day. Python is the most widely used language in AI, and libraries like TensorFlow, PyTorch, and Scikit-learn are essential for building models. You'll also need to get comfortable working in environments like Jupyter Notebook or Google Colab. Knowing how to clean and process data using tools like pandas and NumPy is just as important as writing algorithms. As you grow, cloud platforms like AWS, GCP, or Azure can help scale your work and simulate real-world applications. Build Real Projects That Show Your Skills Hands-on experience is what truly sets aspiring AI professionals apart. Whether you're building a movie recommendation engine, creating a chatbot, or training a model to detect fake news, practical projects teach you how to solve real problems. These projects can be shared on platforms like GitHub or LinkedIn and will speak volumes to potential employers or collaborators. Start simple, then take on more complex challenges as your confidence and skills grow. Understand the Ethics of AI As AI becomes more integrated into daily life, ethical issues are growing in importance. Bias in algorithms, privacy concerns, and the misuse of AI technologies are all challenges the industry is grappling with. Understanding these topics—and knowing how to address them—is essential for anyone entering the field. Responsible AI isn't just a trend; it's a core part of long-term success. Being aware of the social impact of your work makes you a better, more thoughtful AI professional. Take Advantage of Online Learning You don't have to attend a top university to build a career in AI. Platforms like Coursera, edX, Udacity, and offer excellent courses taught by industry leaders. Many of them are free or affordable and come with hands-on assignments and certificates. Online communities like Kaggle also offer real datasets and competitions where you can practice and compare your work with others globally. These platforms are great places to learn, experiment, and grow your skills at your own pace. Look for Internships and Research Opportunities Once you've built some skills and completed a few projects, seek out internships or research assistant roles. Many universities, startups, and AI labs look for people who can contribute to ongoing work—even if you're early in your career. These experiences provide exposure to real-world challenges, improve your collaboration skills, and often lead to full-time positions. Even short-term internships can make your resume stand out and help you understand what area of AI you truly enjoy. Is your child ready for the careers of tomorrow? Enroll now and take advantage of our early bird offer! Spaces are limited.
Geeky Gadgets
14-06-2025
- Business
- Geeky Gadgets
Easiest Way to Make $10,000 a Month Building AI Agents
What if you could turn your passion for technology into a steady income of $10,000 a month? Imagine creating intelligent systems that work tirelessly, solving problems, automating tasks, and delivering value—all while you sleep. It might sound like a pipe dream, but with the rise of AI agents, this is no longer a fantasy. These autonomous, problem-solving programs are reshaping industries like e-commerce, healthcare, and finance, offering unprecedented opportunities for innovation and profit. Whether you're a seasoned developer or just starting out, building AI agents is one of the most exciting and accessible ways to tap into the booming AI economy. Christian Peverelli explains how you can design, deploy, and monetize AI agents to create a sustainable income stream. You'll uncover the secrets to identifying high-demand problems, using innovative tools like TensorFlow and PyTorch, and scaling your solutions to meet market needs. From crafting AI-powered chatbots for e-commerce to automating complex data analysis in healthcare, the possibilities are vast. But success requires more than just technical skills—it's about understanding how to deliver measurable value to businesses and users alike. Ready to see how this fantastic technology can work for you? Let's break it down step by step. How to Monetize AI Agents What Are AI Agents and Why Do They Matter? AI agents are software programs powered by artificial intelligence, capable of performing tasks autonomously without human intervention. Their applications span a wide range of industries, offering solutions to challenges that were once time-consuming or resource-intensive. Key areas where AI agents are making a significant impact include: E-commerce: Enhancing customer experiences by recommending products based on user behavior and purchase history. Enhancing customer experiences by recommending products based on user behavior and purchase history. Healthcare: Supporting medical professionals by analyzing patient data to assist in diagnosing diseases or predicting health outcomes. Supporting medical professionals by analyzing patient data to assist in diagnosing diseases or predicting health outcomes. Finance: Detecting fraudulent transactions, optimizing investment strategies, and automating financial reporting. Detecting fraudulent transactions, optimizing investment strategies, and automating financial reporting. Logistics: Streamlining supply chain operations, improving delivery efficiency, and reducing operational costs. To succeed in this field, focus on identifying specific problems that AI agents can solve. For instance, industries like healthcare and retail often demand automation to improve efficiency and reduce costs. Conduct thorough research to uncover opportunities where AI-driven solutions can deliver measurable value and address critical pain points. Step-by-Step Guide to Building AI Agents Building an AI agent requires a structured and methodical approach. By following these steps, you can create a functional and effective AI solution: Define the Problem: Clearly identify the specific problem your AI agent will address. A well-defined problem ensures your solution is targeted and impactful. Clearly identify the specific problem your AI agent will address. A well-defined problem ensures your solution is targeted and impactful. Collect and Prepare Data: Gather high-quality, relevant data to train your AI models. The success of your agent depends heavily on the accuracy and reliability of this data. Gather high-quality, relevant data to train your AI models. The success of your agent depends heavily on the accuracy and reliability of this data. Select a Framework: Use robust machine learning frameworks like TensorFlow or PyTorch to develop your AI agent. These tools offer flexibility and scalability for complex projects. Use robust machine learning frameworks like TensorFlow or PyTorch to develop your AI agent. These tools offer flexibility and scalability for complex projects. Train the Model: Train your AI model using the collected data, making sure it learns to perform the desired task effectively. Regular testing and validation are crucial during this phase. Train your AI model using the collected data, making sure it learns to perform the desired task effectively. Regular testing and validation are crucial during this phase. Deploy the Agent: Host and deploy your AI agent using cloud platforms such as AWS, Google Cloud, or Microsoft Azure. These platforms provide scalable infrastructure to handle varying workloads and ensure seamless performance. For smaller projects or those with limited budgets, open source platforms can serve as cost-effective alternatives while still offering robust functionality. Experiment with different tools and frameworks to find the best fit for your project's needs. EASIEST Way to Make 10,000/Month Building AI Agents Watch this video on YouTube. Here are more guides from our previous articles and guides related to AI agents that you may find helpful. Monetizing Your AI Agents Generating $10,000 per month from AI agents requires a clear and effective monetization strategy. Here are some proven approaches to consider: Subscription Models: Offer your AI agent as a service (AIaaS) with recurring monthly or annual fees. This model provides a steady and predictable revenue stream. Offer your AI agent as a service (AIaaS) with recurring monthly or annual fees. This model provides a steady and predictable revenue stream. Licensing: License your AI agent to businesses that require tailored solutions. This approach works well for industries with specific needs, such as healthcare or logistics. License your AI agent to businesses that require tailored solutions. This approach works well for industries with specific needs, such as healthcare or logistics. Freemium Models: Provide basic functionality for free and charge for advanced features or premium services. This strategy can attract a larger user base while generating revenue from power users. Provide basic functionality for free and charge for advanced features or premium services. This strategy can attract a larger user base while generating revenue from power users. Performance-Based Pricing: Charge clients based on measurable outcomes, such as increased sales, reduced costs, or improved efficiency. This model aligns your success with that of your clients, fostering trust and long-term partnerships. For example, if you develop a chatbot for an e-commerce platform, you could charge businesses a monthly fee based on the number of customer interactions it handles. This ensures a consistent revenue stream while demonstrating the tangible value of your solution. Scaling and Optimizing AI Agents Scaling and optimizing your AI agents are essential for maximizing profitability and making sure long-term success. As demand for your solution grows, your AI agent must handle increased workloads without compromising performance. Cloud platforms such as AWS and Google Cloud are particularly useful for scaling, as they allow you to add resources on demand. Efficiency is equally important. Optimize your AI models to reduce computational costs and improve response times. Techniques such as model compression, pruning, and quantization can help achieve these goals. Additionally, automate repetitive tasks in the development and deployment process to save time and resources, allowing you to focus on innovation and growth. Addressing Challenges in AI Deployment Deploying AI agents comes with its own set of challenges, but proactive planning and strategic solutions can help you overcome them. Common issues include: Data Privacy: Ensure compliance with data protection regulations such as GDPR or CCPA by anonymizing sensitive data and implementing robust security measures. Transparency with clients about how data is used can also build trust. Ensure compliance with data protection regulations such as GDPR or CCPA by anonymizing sensitive data and implementing robust security measures. Transparency with clients about how data is used can also build trust. System Integration: Collaborate closely with clients to ensure your AI agent integrates seamlessly with their existing infrastructure. Compatibility and ease of use are critical for adoption. Collaborate closely with clients to ensure your AI agent integrates seamlessly with their existing infrastructure. Compatibility and ease of use are critical for adoption. Model Maintenance: Regularly update your AI models with new data to maintain accuracy and relevance. Continuous monitoring and improvement are essential to keep your solution effective over time. By addressing these challenges early and effectively, you can build trust with clients, enhance user satisfaction, and ensure the long-term success of your AI agents. Media Credit: Christian Peverelli – WeAreNoCode Filed Under: AI, Guides, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Time of India
13-06-2025
- Business
- Time of India
Redefine leadership in the age of GenAI and Agentic AI: ISB Online's Leadership with AI Programme
As senior leaders navigate an increasingly complex business landscape, the expectation to drive AI-powered transformation has become central to their roles. While coding isn't a requirement, success now hinges on understanding AI's potential, guiding teams through digital disruption, and navigating the strategic, ethical, and operational shifts that AI demands. From enhancing customer experience to redefining decision-making, Artificial Intelligence, particularly Generative and Agentic AI , is now a core element of business strategy. However, many leaders find themselves underprepared to lead with confidence in this new technological era. The Leadership with AI Programme by ISB Online is designed to address this challenge. Tailored for senior executives and professionals, the programme equips leaders with tools and strategies to harness Agentic AI, leverage Generative AI for innovation, make data-informed decisions, and lead effectively in an AI-driven world. Why AI-ready leadership is critical now With AI projected to generate $2.9 trillion 1 in annual business value by 2025 and 78% of organisations 2 already using it in at least one business function, it is clear that AI is no longer peripheral—it is central to how businesses operate. This rapid integration underscores the urgent need for capable, AI-informed leadership to harness its potential strategically and responsibly. Leaders don't need to code, but they need to understand how AI works, grasp its limitations, mitigate biases, and apply it to drive faster, smarter decisions. Thriving in an AI-powered world demands a strategic shift in mindset—exactly what ISB Online 's Leadership with AI programme is designed to cultivate. ISB Online's Leadership with AI Programme: Designed for impact ISB Online's Leadership with AI programme is a cutting-edge learning journey designed for leaders who want to drive impact in an AI-powered world. Blending leadership, innovation, and practical AI strategy, it equips executives with tools to navigate disruption, harness Generative AI and Agentic AI, and make high-stakes decisions with confidence. Unlike traditional programmes, it goes beyond theory, offering hands-on frameworks, essential AI and GenAI tools , and real-world case studies that empower leaders to turn AI potential into measurable business outcomes. What sets the programme apart? Comprehensive curriculum : Explore AI and ML technologies, Generative AI use cases, managerial trade-offs, and AI strategy. Learn to navigate ethical dilemmas, crisis scenarios, and regulatory frameworks in AI deployment. Self-paced video learning : 140+ high-quality videos from ISB's global faculty allow flexible, on-demand learning. Hands-on tools & platforms : Get practical exposure to leading AI tools like Sora, TensorFlow, Stable Diffusion, PyTorch, Gemini, ChatGPT, and DALL-E 3. Live masterclasses : Gain real-time industry insights through live masterclasses led by industry experts. Explore advanced concepts like Agentic AI, Retrieval-Augmented Generation (RAG), and cutting-edge tools such as Deepseek, while gaining strategic insights on AI ethics, GenAI integration, and real-world implementation for future-ready leadership. Real business case studies : Learn from over 20+ global case studies and business scenarios featuring organisations like Walmart, Disney, Dell, Nestlé, Shopify, Intel, Microsoft, and more. Agentic AI deep dive : Gain essential insights into how Agentic AI will redefine leadership, decision-making, and execution. Live expert sessions : Benefit from 18 dedicated interactive doubt clearing sessions with domain experts. Capstone project : Apply your learning through a guided real-world project to lead a digital transformation using AI. ISB Online Alumni status : Unlock exclusive networking opportunities, event access, and future programme discounts. Certification upon programme completion : Earn an ISB Online certificate upon successful completion with a minimum 70% score. The programme's learning outcomes empower leaders to enhance strategic thinking and organisational performance by harnessing AI, identify and deploy AI/ML solutions for improved business outcomes, and create actionable transformation plans tailored to their unique contexts. Participants will learn to leverage Generative AI for innovation and productivity, reimagine business processes through human-machine collaboration, and develop leadership mindsets that embrace digital change. Additionally, the curriculum equips them to navigate critical challenges in AI ethics, data privacy, and governance with confidence and foresight. Who will benefit most from this programme? This programme is ideal for senior professionals looking to lead with AI. It's best suited for: CXOs, Business Heads & Strategy Leaders aiming to drive AI-led transformation at scale Functional leaders in IT, marketing, consulting, finance, and operations who want to make smarter, data-informed decisions in a digital-first world The past participant cohorts of the programme represent a powerful blend of experience and industry diversity, making them ideal for dynamic peer learning and collaboration. A majority—59%—bring 10–20 years of professional experience, while 30% have 21–30 years, reflecting a mature and strategically-minded group. This experienced talent pool comes from a wide range of sectors, including IT, Telecom, and Engineering (63%), Marketing, Manufacturing, and Retail (13%), and other key industries (24%), creating an enriching environment that mirrors the complexities of today's AI-driven business landscape. ISB blends world-class faculty, cutting-edge research, and deep expertise in emerging markets to deliver impactful, real-world learning. With India-focused case studies and global academic rigour, participants gain actionable insights to lead in complex business environments. ISB Online extends this edge through a flexible, high-impact platform tailored for senior professionals—offering self-paced modules, live expert sessions, and applied tools. Backed by triple crown accreditation (AACSB, AMBA, EQUIS), a global network of 49,000+ professionals, top FT Global MBA rankings (#1 B-school in India, #5 in Asia and #27 Globally), ISB Online empowers leaders with credibility, relevance, and a competitive career advantage. Key details Date of programme commencement : 30 June 2025 Format : Online Duration : 20 Weeks, online (4-6 hours per week) Programme fee : INR 2,09,900 + GST Eligibility : Minimum 10 years of work experience as of the programme start date To know more about the programme and finance options, click here . Lead the future with AI-powered leadership As businesses continue to embrace AI-driven transformation, the demand for leaders who can strategically harness the power of AI has never been more critical. ISB Online's Leadership with AI Programme is designed to equip senior leaders with the essential tools, frameworks, and real-world insights to navigate this shift. By blending cutting-edge AI knowledge with leadership strategies, the programme enables leaders to drive innovation, make data-informed decisions, and lead with confidence in the digital age. With a dynamic, industry-diverse cohort and a flexible, world-class learning experience, this programme empowers you to shape the future of business and leadership. References -
Yahoo
12-06-2025
- Science
- Yahoo
Google shares K-State researcher's work to save bees
KANSAS (KSNT) – Google is sharing a K-State entomologist's work using artificial intelligence (AI) to identify, track and help conserve the world's bees. K-State Entomologist Brian Spiesman has developed a bee-tracking app, BeeMachine, using Google's TensorFlow AI models to recognize hard-to-categorize bees. The app uses photos to provide a top three predictions for the bee species. The app lets users share bee sightings through a community feature. 'I realized AI might be the answer,' Spiesman said. 'I started gathering data sets and adapting pre-trained models within Google's TensorFlow so they would start to recognize hard-to-categorize bees, and it just grew from there. That's how the BeeMachine, an AI-powered app and website for identifying bee species, was born.' Topeka prepares for 'No Kings' protest on Saturday Since launching the app, more than 6,200 users have submitted more than 20,000 sightings, according to the Google article on Spiesman. Spiesman said the goal is to get people excited about bees. He said there's been a similar effort to collect data on birds that's been invaluable to research and conservation. He hopes that his app project will do the same for bees. 'I think we're at a spot where we're not limited by what the AI models are able to do,' Spiesman said. 'We're more limited by the inputs we have available to train them, so that's really what we're working on right now.' Topeka Stealth joining Midwest baseball league in 2026 The app was funded by the National Institute of Food and Agriculture, the National Science Foundation, and Kansas State University, according to BeeMachine's website. You can learn more about BeeMachine by clicking here. For more local news, click here. Keep up with the latest breaking news in northeast Kansas by downloading our mobile app and by signing up for our news email alerts. Sign up for our Storm Track Weather app by clicking here. Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
The Hindu
11-06-2025
- Business
- The Hindu
Botpool Launches to Empower AI Freelancers with a Dedicated Global Platform
In a world increasingly shaped by intelligent tools and automation, a groundbreaking new platform has emerged with a bold mission: to put AI freelancers at the forefront of the digital economy. Introducing Botpool — a global freelancer marketplace purpose-built for the AI-driven future of work. Whether you're an AI developer, a generative content expert, or an automation specialist, Botpool is your new home. The Next Generation of Freelance Work Starts Here As artificial intelligence rapidly transforms industries, the demand for specialized talent is skyrocketing. From startups to Fortune 500 companies, businesses are racing to integrate AI and need skilled professionals to lead the charge. Botpool isn't just another gig site. It's a fast-growing platform specifically designed for freelancers who work with AI technologies. While other freelance platforms cater to broad categories, Botpool focuses purely on AI-powered work, offering a curated environment where high-skill freelancers can connect directly with businesses seeking next-generation services. This isn't about crowding your profile into an overcrowded space. It's about standing out in the right space. Who Thrives on Botpool? Botpool welcomes a wide spectrum of AI specialists, including: ● AI Developers & Engineers – Building intelligent applications, AI agents, and APIs using tools like Python, TensorFlow, PyTorch, OpenAI, Anthropic, and more. ● Prompt Engineers – Experts in instructing generative models like ChatGPT, Claude, and Gemini to produce accurate and powerful outputs. ● AI Content Creators – Using AI to generate articles, videos, podcasts, visuals, or marketing copy faster and better. ● AI Consultants – Helping businesses adopt AI tools, integrate models into workflows, and shape digital transformation strategies. ● AI-Powered Social Media Managers – Running campaigns using predictive analytics, AI-driven scheduling tools, and content automation. ● AI Editors – Polishing generative content and making AI outputs more human, effective, and on-brand. ● Automation Specialists – Designing no-code or low-code workflows using platforms like Zapier, Make, and AutoGPT. ● Vibe Coders – The creative coders who blend design, code, and AI to build experiences that feel truly next-gen. Why Now? Why Botpool? The AI freelance economy is booming — yet traditional platforms fall short in helping AI experts connect with the right clients. Categories are too broad. Discovery is inefficient. True AI talent gets buried. Botpool is built to change that. Key Benefits of Joining Botpool: ● Global Exposure to AI-Focused Clients Get discovered by businesses actively seeking AI solutions. ● Niche Precision Compete only with other AI professionals, not generalists. ● Built-In Tools (Coming Soon) Access internal SaaS tools and sub-apps you can resell to clients for recurring income. ● Early Mover Advantage Be among the first to gain visibility, influence platform development, and build your reputation. ● A Thriving Community Botpool is more than a marketplace — it's a collaborative hub for creative, technical AI minds. How It Works: Getting started with Botpool is quick and easy: 1. Register for Free at 2. Set Up Your Profile, highlighting your AI skills, past work, and specialties 3. Browse Projects or Get Matched using AI-powered job matching 4. Deliver Value to clients, receive ratings, and build your Botpool reputation 5. Unlock Growth Tools as we launch resellable products, automated workflows, and more The platform is open to solo freelancers, boutique AI agencies, and even AI startup founders offering services. The Future of Freelance AI Work Starts Here With the AI revolution in full swing, Botpool gives forward-thinking freelancers the visibility, tools, and community they need to thrive. If you're working at the intersection of AI and creativity, there's finally a platform built just for you. Join today and shape the future of AI work. 'This is a company press release that is not part of editorial content. No journalist of The Hindu was involved in the publication of this release.'
