Latest news with #MachineLearning
Times of Oman
13 hours ago
- Business
- Times of Oman
AI and machine learning jobs rise by 42 per cent YoY in June: Dept of Economic Affairs
New Delhi: Artificial Intelligence (AI) and machine learning roles recorded a significant 42 per cent year-on-year (YoY) growth in June 2025, highlighted the Monthly Economic Review released by the Department of Economic Affairs. The report also stated that hiring in Global Capability Centres (GCCs) also rose by 9 per cent YoY, reflecting India's expanding role in global services delivery. It stated, "AI and machine learning roles saw 42 per cent YoY growth." The report further highlighted that fresher hiring witnessed a notable 11 per cent YoY rise in June 2025, pointing to improved employment opportunities for new entrants. The overall labour market remained steady, with white-collar hiring showing a strong rebound, supported by a double-digit growth on a yearly basis. Formal job creation continued to gain momentum, with the Employee Provident Fund Organisation (EPFO) recording an all-time high in net member additions during May 2025. The EPFO added 20.06 lakh members in May, the highest monthly figure since it began tracking payroll data in April 2018. The department also cited findings from the Naukri JobSpeak June 2025 report, which confirmed a revival in India's white-collar job market. The hiring index rose to 2,854 in June 2025, registering a 10.5 per cent YoY increase in hiring activity across sectors, cities, and experience levels. The rise in hiring was led by the insurance sector, which saw a 32 per cent YoY jump. It was followed by hospitality and travel at 21 per cent, BPO and ITES at 19 per cent, real estate at 16 per cent, oil and gas/power at 15 per cent, healthcare at 11 per cent, and education and FMCG at 10 per cent. India's manufacturing and services sectors also continued to contribute to job creation. The Purchasing Managers' Index (PMI) employment sub-index stayed in the expansionary zone for the 16th consecutive month. While manufacturing employment growth increased, the services sector saw a slight easing from the record levels achieved in May 2025. An analysis of EPFO's new subscriber data for May 2025 showed that 59.5 per cent of new members were in the 18-25 age group, 22.8 per cent were aged 26-35, and 16.6 per cent were over 35. This indicates that a large portion of the organised workforce is made up of young adults, primarily first-time job seekers. The report concluded that the increase in formal job creation and workforce participation reflects the consistent efforts by the government to generate employment opportunities for the country's aspiring workforce.
Zawya
a day ago
- Business
- Zawya
General Assembly Bahrain expands tech offerings with Data Science in Bahrain in partnership with Tamkeen
Bahrain - General Assembly Bahrain has announced the launch of a comprehensive Data Science program offered through three flexible learning paths, designed to accommodate learning needs at various career stages. Offered in partnership with the Labour Fund (Tamkeen), the program equips learners with the practical tools, hands-on experience, and career support required to succeed in today's data-driven workforce. Tamkeen's support for this program aligns with its 2025 strategic priorities, which aim to enhance the competitiveness of Bahraini nationals in the private sector, equip them with the right skills for career advancement, and prioritize the growth, digital transformation, and sustainability of enterprises. The program covers key skills including statistical modeling, Python programming, data visualization, machine learning, and natural language processing (NLP). Delivered through real-world projects and case studies, the program equips learners with critical analytical and decision-making capabilities essential for today's most in-demand data-driven roles across industries. It is offered in three flexible formats: Full-time, Part-time, and Career Development. 'As Bahrain advances its tech transformation, the growing demand for skilled data professionals presents a critical yet promising opportunity to develop local talent," said Ahlam Oun, Director of General Assembly Bahrain. "Our new Data Science Bootcamp, supported by Tamkeen, meets this need by offering flexible, career-compatible training that empowers individuals to upskill without pausing their careers. More than just a course, it's a strategic step toward shaping Bahrain's digital future through hands-on learning in AI, machine learning, and data analytics." Commenting on the upcoming Data Career Development Program, she added, "This program delivers targeted upskilling solutions for organizations and their employees, creating a complete pipeline for Bahrain's data talent needs while allowing participants to learn while working." 'Data Science and Machine Learning is one of the most promising fields for today's youth, and programs like this play a crucial role in supporting fresh talent as well as early-career professionals deepen their skills and advance into more specialized roles,' said Marwa Al Eskafi, Director of Talent, Enterprise, and Entrepreneurship Enablement, Tamkeen. 'By taking part, Bahraini youth are positioning themselves as employees of choice - ensuring their own growth and the nation's competitiveness.' Tamkeen's Sector Skills Reports, launched by Skills Bahrain, highlight a growing demand for talent in data analytics, machine learning, and digital tools across multiple industries. In finance, banks are automating services to support the country's cashless, digital transformation. However, the rapid pace of digital transformation in FinTech has outstripped the current workforce's skills - especially in analytics and machine learning - highlighting the need for skill development in these areas. In telecommunications, the sector report identifies data analytics and machine learning as essential for future growth, while in the public sector, government initiatives are using machine learning and analytics to improve services, including airport operations, environmental monitoring and beyond. Logistics companies are also leveraging data science and machine learning to boost efficiency and stay competitive. Similar skill gaps also exist in Bahrain's healthcare, manufacturing, retail, and energy sectors, reflecting the growing need to equip national talent in these fields. All three formats - Full-Time, Part-Time, and Career Development - feature hands-on projects, career coaching, and access to Bahrain's leading instructors and employer networks. About General Assembly: General Assembly Bahrain plays a crucial role in enhancing the tech skills of Bahrainis. Offering courses in software engineering, UX design, and data analytics, General Assembly Bahrain aligns its curriculum with market trends. Notably, General Assembly Bahrain has achieved a significant positive outcomes rate for its graduates, including employment, freelancing and entrepreneurial opportunities, underscoring its commitment to bridging the digital skills gap in the Kingdom.
Time Business News
2 days ago
- Business
- Time Business News
Can AI Improve Warehouse Inventory Accuracy?
Keeping operations efficient, dealing with complicated logistics, and fulfilling the demands of same-day shipment are all huge challenges for modern warehouse operations. Accuracy in inventory counts is one factor that can make or break a business. Unhappy customers, missed sales, and increased overhead can result from even a minor discrepancy between inventory counts and recorded sales. Businesses are beginning to see artificial intelligence (AI) as a practical solution, rather than a futuristic update, to the increasingly complex problems faced by warehouse operations. Artificial intelligence can assist you understand what's happening in your warehouse rather of relying solely on numerical data. In real time, it can spot patterns, foresee problems, and even indicate mistakes. But will it actually make inventory counts more precise? I'll explain the answer to you. Inventory accuracy measures how closely your system data reflects your actual stock. Unfortunately, many warehouses operate at accuracy rates far below ideal, often hovering between 65% to 75%. That means nearly one-third of the time, what you think you have isn't what you actually have. What causes these gaps? Manual entry mistakes Misplaced or misidentified items Lack of real-time updates Infrequent or inaccurate stock checks While barcode scanning and RFID have helped improve visibility, they often still rely on manual processes that are prone to error. AI introduces new layers of intelligence that traditional systems can't offer. Instead of merely tracking data, AI tools can learn from it, make decisions, and improve over time. Here's what AI brings to the warehouse table: Machine Learning (ML): Learns from patterns in your inventory flow, helping predict shortfalls or overstock situations. Computer Vision: Uses cameras and sensors to visually track items on shelves, without needing human eyes. Natural Language Processing (NLP): Helps users interact with systems using voice or simple language commands. Predictive Analytics: Forecasts upcoming inventory needs based on trends and real-world factors. All of this adds up to smarter operations that can adapt to what's actually happening on the ground. Traditional inventory counts often happen once a month or quarter, leaving plenty of time for mistakes to go unnoticed. AI can change that completely. Using a mix of smart cameras and sensors, AI systems track stock as it moves through the warehouse. They monitor what's coming in, what's going out, and even what's sitting untouched. This not only improves accuracy but also helps identify patterns that may be costing you time or money, like frequently misplaced items or misidentified packages. Cycle counting (small, frequent inventory checks) is a proven way to boost accuracy, but it's also labor-intensive. AI helps automate this process. Drones equipped with cameras and AI-powered software can fly through aisles, scan barcodes or shelf labels, and cross-check everything against your records. No need to pull employees away from more important work. No need to shut down sections of the warehouse. The result? Inventory data stays fresher and more reliable without slowing your operations. Rather than reacting to inventory problems after they occur, AI helps you stay one step ahead. By analyzing past sales, seasonality, delivery times, and other factors, AI tools can anticipate when you're likely to run out of stock or end up with too much. It might suggest moving inventory to a different location or flagging certain SKUs for closer attention. This means better planning, fewer surprises, and fewer gaps between your records and your reality. When you know what's going to sell, you can manage your inventory more confidently. AI helps improve forecasting by pulling in data from a wide variety of sources: Sales trends Customer behavior Market events Even weather patterns This level of forecasting accuracy helps warehouses maintain tighter inventory levels, reduce carrying costs, and avoid stockouts. The fewer the unknowns, the more accurate your records will be. Returned products are often a black hole in the inventory process. They get misplaced, mislabeled, or logged incorrectly—all of which hurt your data accuracy. AI steps in by: Using computer vision to inspect returned goods Automatically categorizing items for resale, repair, or disposal Instantly updating inventory systems This automation ensures that returns are processed faster and more accurately, closing one of the biggest gaps in many warehouse operations. Today's AI tools are increasingly being built to work alongside popular Warehouse Management Systems (WMS). When combined, these platforms can: Show you exactly what's in stock and where it is Flag inconsistencies or risks in real time Offer suggestions for optimizing stock locations or staffing Working with an experienced AI software development company makes it easier to build custom solutions that sync with your existing systems and help streamline inventory control. A national retail chain installed an AI system to monitor shelf stock through ceiling-mounted cameras. Within months, shrinkage dropped by 30%, and their inventory accuracy climbed above 95%. An e-commerce brand used AI to sort and inspect returned products. Returns that used to take days to process were handled in minutes, with nearly zero errors in data updates. Like any new technology, AI in the warehouse brings some initial hurdles: Upfront costs: Buying new hardware and software can be pricey Training needs: Teams may need time to learn and trust new systems System compatibility: Not all legacy systems integrate easily Data hygiene: If your existing data is messy, AI might struggle at first These are real concerns—but with the right planning, they're solvable. Picture this: A product goes missing. Rather than wait for the next audit to spot the issue, the system detects a gap, investigates via a drone, updates the inventory, and alerts your manager—all within minutes. That's not science fiction. It's the kind of hands-free accuracy AI is making possible. The more AI systems learn from your warehouse's activity, the better they get at predicting, correcting, and preventing inventory mistakes before they happen. Accurate inventory counts are no longer an option for warehouses that are under time and efficiency constraints. More than just efficiency, businesses gain reliability and confidence when AI automates tracking, improves forecasting, and closes data gaps. Early AI adopters won't only be playing catch-up; they will, in the years to come, establish the bar for inventory precision as technology advances. TIME BUSINESS NEWS
Hans India
3 days ago
- Hans India
Note to my Amma, Why AI Isn't the Enemy (But Why We Need to Be Ready)
Inthe states of Andhra Pradesh and Telangana, where a high concentration of tech workers forms the backbone of many families, the rise of Artificial Intelligence and Machine Learning has sparked real concern among parents - especially mothers. As automation accelerates, many wonder what it means for their children's future. This letter is for all those mothers back home, seeking clarity in the midst of uncertainty. Dear Amma, I saw the worry in your eyes when you forwarded me that WhatsApp message about 'Artificial Intelligence taking over jobs.' You asked the question keeping millions of parents awake: 'Will my children have a future?' Let me be honest: this isn't just another wave of change like we've seen before. This one's bigger. But here's what I've realised, it's not the technology that threatens us. It's how unprepared we are for what it brings. So, What Are We Really Talking About? Don't let the buzzwords scare you, Amma. You've used Artificial Intelligence for your electric rice cooker? It knows when the rice is ready and switches off. That's AI, a machine making a decision based on logic. It doesn't think like us; it follows simple patterns. 'When the water is gone, stop cooking.' Machine Learningis like teaching a child to recognise ragas. There are only a few notes, but over time, a good singer learns to blend them beautifully. ML works similarly. Show a computer thousands of pictures of cats and dogs, and it learns to tell them apart - even when it sees new ones for the first time. Large Language Models (LLMs)are like the one helping me write this are like a grandmother who has lived a thousand lifetimes. She's read every story, heard every conversation, and when you ask her something, she always seems to know the perfect thing to say. The difference is: Grandma's wisdom came from living. LLMs only read about life. They know the recipe but never tasted the food. They can describe heartbreak but have never felt it. Think of LLMs like this: your brain finishes a sentence based on your life experiences. These models do the same but by learning from more texts than any human ever could. No magic, Amma. Just machines learning patterns, like how you perfected your sambar by trying different combinations. The Uncomfortable Truth Yes, jobs that are repetitive or rule-based will disappear. But here's what the headlines don't tell you: every technological disruption has also created more opportunities. Remember the calculator? You thought it would make math obsolete. But it helped us solve bigger problems. Computers didn't replace accountants, they turned them into financial advisors. AI is no different. But this time, the scale of change is bigger, and that's good news. What Makes This Revolution Different This isn't just about how we work. It's about how we think about work. AI can analyse data, process information, and even write a poem. But it cannot dream. It can't imagine what doesn't exist. It can't feel the extra pinch of love (read loads of ghee!) that makes your recipes taste like home. That's where we come in. What Needs to Change: Our Mindset The real challenge is not AI - it's how we're still preparing children for a world that no longer exists. We still value memorising over questioning. Following instructions over imagining. Knowing the answer over asking the right question. Here's how that must change: 1. Teach Questions, Not Just Answers Not 'What is the capital of France?' but 'Why do some cities become capitals?' Not 'Solve this equation' but 'What can math help us understand?' 2. Encourage Creative Curiosity Remember how I used to take apart radios just to see how they worked? That curiosity is what machines can't replicate. 3. Teach Thinking, Not Just Knowing AI can know everything. But only we can imagine what's never been known. AI as Your Best Friend Here's what I've learned at work: when humans and AI collaborate, magic happens. Doctors using AI can diagnose faster and spend more time with patients. Teachers using AI can grade papers quicker and focus on inspiring young minds. Artists using AI can generate ideas and go further with their creativity. AI doesn't replace us. It amplifies us. What This Means for Your Grandchildren The world they'll grow up in will be vastly different. AI will take over the predictable and the mundane. That frees them to focus on what makes us human: ●Emotional intelligence: connecting with people ●Creative problem-solving: finding new solutions ●Ethical reasoning: choosing right over easy ●Storytelling: sharing meaning, not just data How to Prepare Them So when you ask me how to prepare them, here's what I suggest: ●Teach them to ask 'Why?' at least five times a day ●Encourage them to create something new every day, even if it's a doodle ●Help them fall in love with learning, not just grades ●Show them how to care deeply about people ●Teach them to be okay with not knowing all the answers The Beauty of Imperfection Here's something interesting: AI can create perfect art. But we still crave human imperfection. Why do Van Gogh's uneven strokes command millions, but AI's flawless creations don't move us? Because his flaws speak to our soul. Why do we love a singer whose voice cracks with emotion over one with a perfect auto-tuned pitch? Because real connections are more than perfect. AI can imitate, but it can't feel. Your imperfections aren't flaws; they're your signature. When AI Became My Ally Let me tell you something personal. You remember how I struggled with dyslexia? 'Beautiful' and 'beauty' felt like two different languages. It made me feel small and kept me away from my core strength of creative thinking. Then came the spell check. Later, grammar tools all examples of AL and ML, these tools didn't replace my effort, it freed it. I could focus on thinking, not just gave me confidence. Helped me do what I was truly good at: finding patterns, connecting dots, imagining possibilities. It didn't make me smarter. It just removed the walls that kept my strengths hidden. And someone who struggled to spell is today writing a full-length article! That is the power of technology. A Reality Check: Efficiency Always Wins Let's be real: if something can be done faster, cheaper, or more accurately by technology, it will be. International calls were expensive - until WhatsApp. Shopping meant hours - until Amazon. Inefficiency always gets disrupted. A coder who just follows steps? At risk. A teacher who just reads from slides? At risk. A manager who just passes information? Replaceable. But someone who adds value, creativity, and insight? Irreplaceable. A Promise, and a Hope Amma, your generation adapted from rotary phones to smartphones. You learned WhatsApp at 65. You showed us that learning matters more than age. If we raise children with that same curiosity and courage, they won't fear AI. They'll use it. The Bottom Line Yes, the world is changing fast. Yes, some jobs will disappear. But humans have always been extraordinary at adapting. The question isn't 'Will AI change the world?' It's 'Will we be the ones shaping that change?' I believe we will. Because the same spirit that led you to embrace the unknown will guide us all forward. The future doesn't happen to us, Amma. We create it. With love and hope, Your Child from the Farland (The author is former Head-APAC, External Relations, Bloomberg)
Time Business News
3 days ago
- Business
- Time Business News
Top 5 Use-Cases of AI and Machine Learning in the FinTech Industry
FinTech has completely revolutionised the way people manage money today. From paying bills to getting loans and investing in the stock market, everything is at your fingertips. It won't be completely wrong to say that the industry has become a significant part of a common man's life today, without which they may struggle to do their daily tasks. But what's powering modern fintech? Plenty of technologies like blockchain, IoT, Artificial Intelligence (AI), and Machine Learning (ML). But we're going to specifically focus on AI/ML today. These technologies help the fintech app understand user needs, prevent fraud, and offer personalised financial advice. This guide will help you understand how AI and ML are shaping the fintech industry and making complex processes like investing, lending, and saving efficient for its users. Let's Go! Fraud Detection And Prevention The fintech industry deals with big money; thus, it is on the radar of cyberattackers who try various methods, including phishing, money laundering, or unauthorized transactions. How does AI help in fraud detection? Take an example of a user who makes multiple transactions with his credit card. He will get a call from the bank to verify if the payments were made by him. Or imagine a user is in Mumbai, but his card was used in Dubai. He'll get an immediate notification. This is such a good way to save the users from any financial fraud. Without AI and ML, this would not have been possible. These systems keep a track of the user's financial history and alert immediately if they sense any suspicious activity. It's the pattern of transactions that helps. Examples: PayPal's AI scans millions of payments per second, blocking fraud that costs the industry $40 billion yearly. In India, Razorpay's ML catches sketchy UPI attempts like duplicate payments, saving merchants lakhs. Credit Score And Risk Assessment AI and ML have made the task of getting a loan easier. These systems allow AI fintech companies to look for alternate data sources like transaction history and bill payments to generate a credit limit. Examples : Digital lenders like Upstart and Zest AI use AI-based credit scoring to approve more applicants safely. FinTech companies like Razorpay are leading the way in using ML to improve payment security. Personalized Financial Services AI and ML allow the fintech apps to track user behavior, transaction history, and lifestyle habits to deliver personal financial goals. These apps can suggest a saving plan based on the user's behaviour and income to meet the requirements. They can also suggest a good investment plan based on the user's risk tolerance. Example : Groww App in India uses machine learning to track user behavior. How much users invest, when they withdraw, what are their preferred sectors. Based on the behaviour, it offers custom investment insights, like portfolio rebalancing suggestions or fund alternatives that suit their risk profile. This makes stock and mutual fund investing personalised and beginner-friendly. Algorithmic Trading Investing in the stock market is rewarding but comes with its share of risks. Proper knowledge about the market is a must to gain maximum benefits; however, becoming a successful trader is not everyone's cup of tea. This is where AI and ML can be of great help. The AI trading systems analyze millions of data per second, including stock prices, economic indicators, news sentiment, and even tweets. ML algorithms then make high-frequency trading decisions to maximize returns and minimize risk. These systems continuously learn from market patterns, adapt strategies in real-time, and often outperform traditional trading methods. Examples : India's largest stockbroker, Zerodha, integrates with a platform called Streak that lets even non-coders do algorithmic trading. Here, the user can set conditions like: 'Buy this stock if it drops 5% in 15 minutes and RSI is below 30 .' The system will track those conditions using live data and execute the trade automatically when they're met. ML models in the background can help fine-tune the strategy over time. With the AI in fintech markets worldwide growing rapidly, more platforms are now offering retail investors access to AI-powered trading tools. Chatbots and Customer Support Customer service in fintech is expensive due to repetitive queries and long wait times. AI chatbots can handle queries and reduce the human load. Natural Language Processing (NLP) enables these bots to understand user intent and deliver accurate responses. Advanced ML models allow the bots to learn from interactions, becoming smarter and more helpful over time. Examples : Erica by Bank of America helps users track spending, pay bills, and get financial tips. Additionally, Cleo and Plum are AI-powered financial assistance for millennials, offering witty responses and budgeting help. Final Thoughts AI and ML have given extraordinary powers to the fintech industry. From fraud detection to personalised saving and investment plans, these technologies have revolutionised how financial services are delivered, making them more efficient, secure, and user-centric. The rise of AI in fintech is helping companies create smarter, user-first financial products, and the businesses need to hire AI developers that will incorporate it will be in a better position to lead tomorrow's financial revolution. TIME BUSINESS NEWS
