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Will nurture entrepreneurs: DCPRAYAGRAJ: Equipped with lightweight robots in their backpacks and heavy bikes modified to aid in rescue and relief works, firefighters stationed in each of the 25 sectors of the Mahakumbh Mela venue would be required to respond to emergency situations within two to three minutes of them being reported, a senior fire officer said. As 400 million devotees are expected to take part in the spiritual grandeur of the upcoming mega religious fair, the venue of which is spread over 4,000 hectares, that will last for 45 days, ensuring their safety remains a top priority for authorities. With the potential risks posed by temporary structures, electrical setups, and cooking areas, the fire department has deployed modern technologies and a specialised team to safeguard the event from fire hazards. One of them is motorcycles equipped with fire extinguishing cylinders and water pumps. They will be crucial for navigating the narrow lanes within the Kumbh area. If necessary, the pumps can draw water from the river to quickly douse the flames. “There will be 80 firefighting motorbikes that will fitted with water mist systems and compressed air and foam (CAF), 125 quick response vehicles (QRVs), 120 large size water tenders, six foam tenders to ensure the safety of millions of devotees and tourists,” said Pramod Sharma, the chief fire officer of Maha Kumbh Mela. All these preparations were made under the supervision of director general (Fire) Avinash Chandra. “In the case of an emergency, mid-size QRVs (four-wheelers) will be our first option. And if QRVs finds it difficult to reach a location, we will rush motorbikes fitted with water mist system there.” “Our last option will be to rush firefighters with backpacks who will leave their bikes aside and head towards the site where a fire has broken out. This is the first time we are deploying firefighting robots to tackle fire emergencies. These robots are capable of climbing stairs and extinguishing fire with precision,” a post by the official account of Maha Kumbh on X read. Superintendent of police (Kumbh) Rajesh Dwivedi said. “The fire department has established 53 fire stations and 26 fire posts across the venue, aiming to reach any fire incident site within three minutes. We have set up many fire hydrants, and trained firemen how to tackle a situation if fire catches in lithium battery.” “Also, AI-powered fire detection cameras will be used to monitor potential fire outbreaks,” said Kumbh additional district magistrate (ADM) Vivek Chaturvedi. These cameras will be installed throughout the mela area for the first time. These cameras will monitor fire incidents and instantly send alerts to a control room, allowing fire stations to respond within three minutes. The fire department has requisitioned 10,000 advanced fire extinguishers, which will be placed in vulnerable areas such as akhara pandals, media tents, VIP offices, and other high-risk zones. Fire posts, staffed by 4 to 5 personnel, have been deployed near these installations to ensure prompt intervention. “Extensive preparations are in place, including the deployment of advanced fire tenders and 200 specially trained rescue teams. To control fire incidents in the camps of the akharas (Hindu monastic orders), 5,000 special fire extinguishers are also being provided,” chief fire officer and nodal officer for Mahakumbh Pramod Sharma said. To further enhance operational coordination, the fire department has set up dedicated control rooms, which will maintain constant communication with fire officers on the ground. A meticulously crafted emergency protocol has been established to ensure a rapid and effective response in an emergency. Additionally, the state government has signed memorandums of understanding (MOUs) with the Uttarakhand Fire and Emergency Services and the National Fire Service College in Nagpur for external audits, to ensure “zero fire incidents” throughout the Mela period, officials added. Readiness in 2019 vs in 2025 The CFO said that compared to Kumbh 2019, significantly more manpower and vehicles were being deployed for the Mahakumbh. In 2019, 43 temporary fire stations were set up, but for 2025, this number will increase to 50. Similarly, the number of temporary fire posts will rise from 15 to 20, and fire watch towers will increase from 43 to 50. Additionally, over 7,000 fire hydrants will be installed, compared to 4,200 in 2019. The number of fire reserve water tanks will also double, from 75 to more than 150, the official said. In terms of manpower, 1,551 personnel were deployed in 2019, while this year the number has been increased to 2,071. The number of fire vehicles has nearly doubled, from 166 to 351, ensuring a robust and swift response to any fire incidents during the event. In Kumbh 2013, there were 612 fire incidents, resulting in six fatalities and 15 burn injuries. The 2019 Kumbh saw only 55 fire incidents, and no fatalities or burn injuries, officials pointed out.Joly touts ‘private’ diplomacy as Mexico criticizes Canada’s culture, tradeStocktiX Ltd Participates in the 2024 U.S. Investment COO Summit to Explore Cutting-Edge Technologies and Future Financial Trends

Saudia Launches Major Upgrades to Boost Vision 2030 Saudia introduces major upgrades and strategic partnerships to support Vision 2030 and enhance the travel experience. Notable expansion and modernization initiatives include: Airbus Agreement: Saudia has signed a historic deal for 105 aircraft , the largest in Saudi aviation history. These aircraft will be distributed between Saudia and flyadeal, the group's low-cost carrier. Saudia will acquire 54 A321neo aircraft, while flyadeal will receive 12 A320neo and 39 A321neo aircraft. These aircraft feature spacious cabins and interior designs and equipped with the latest amenities and technology, while emitting 20 percent less fuel burn and carbon emissions than previous generations. For more details on Saudia's aircraft and available experiences, or to book travel, visit https://www.saudia.com/pages/experience . About Saudia Saudia (Saudia Airlines) is the national flag carrier of the Kingdom of Saudi Arabia. Established in 1945, the company has grown to become one of the Middle East's largest airlines. Saudia has invested significantly in upgrading its aircraft and currently operates one of the youngest fleets. The airline serves an extensive global route network covering around 100 destinations across four continents, including all 28 domestic airports in Saudi Arabia. A member of the International Air Transport Association (IATA) and the Arab Air Carriers Organization (AACO), Saudia has also been a member airline in SkyTeam, the second largest alliance, since 2012. Saudia was recently recognized as the World's Most Improved Airline 2024 by Skytrax, marking the third time it has received this accolade, alongside 14 other distinguished awards. Saudia has been honored as the World Class Airline for 2024 at The APEX Official Airline RatingsTM awards, marking the third consecutive year the airline has received this prestigious recognition. Additionally, ranked top among global airlines for best on-time performance (OTP) according to a report by Cirium. For more information on Saudia, please visit www.saudia.com . Media Center Saudi Arabian Airlines Headquarters Jeddah 21231, Kingdom of Saudi Arabia Email: [email protected] A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/9d017fc0-4a0b-4372-8843-fbbc7a8089ff

Melissa Hemsley's cookbook offers recipes to reduce ultra-processed food intake. Ultra-processed foods are linked to health risks like cardiovascular disease and cancer. Hemsley's recipes include white chicken chili, noodle salad, and no-bake peanut bars. If cutting down on ultra-processed food is on your 2025 goals list, finding tasty new recipes is a big help. Advertisement Melissa Hemsley is a chef whose latest cookbook, " Real Healthy ," is designed to help people "unprocess" their diets. The recipes are packed with vegetables and designed for those who are short of time. Advertisement Ultra-processed foods have come to the fore of public health consciousness in recent years, as research increasingly points to the potential health risks of UPFs , including cardiovascular disease and cancer . Hemsley recommends dishes including a white chicken chili with peppers and beans, a zingy vegetarian noodle salad, and no-bake peanut butter chocolate oat bars. White chicken chili Melissa Hemsley's white chicken chili. Lizzie Mayson Hemsley said: "A tomato-less chili, hence the name 'white chili'. I use yellow peppers here to keep the chili 'white' but use whatever color you can find. I like to serve the toppings separately and let everyone help themselves. In terms of the beans, use whatever white beans you like, such as cannellini or butter beans. I find sweetcorn is always worth keeping in the freezer, but if you've got canned corn, then drain, rinse, and add it right at the end." Advertisement Serves: Four Time: 1 hour, 10 minutes Ingredients Advertisement 4 bone-in, skin-on chicken thighs 2 tablespoons olive oil, plus extra if needed 2 onions, finely chopped 2 yellow peppers, diced 4 garlic cloves, finely sliced 2 teaspoons ground cumin 1 teaspoon dried oregano 1⁄4 teaspoon cayenne pepper or chile flakes, to taste 1.2 litres vegetable or chicken broth 2 x 400-gram tins of white beans, drained and rinsed 200 grams frozen corn Juice of 1 lime, plus a little zest if you like Sea salt and black pepper Optional toppings Soured cream or yogurt Fresh cilantro and/or scallions onions, sliced Sliced avocado Sliced radishes or cucumber Lime wedges Jarred jalapeño slices or chile flakes Advertisement Method Season the chicken thighs on both sides with salt. Heat the olive oil in a large pot and, once warm, add the chicken thighs, skin-side down. Cook for 10 to 12 minutes over a medium-high heat until very well browned, then turn and cook on the other side for 2 to 3 minutes. Lift out of the pot and set aside on a large plate. The chicken should have given out plenty of fat but if not, add a splash of olive oil to the pot and, once warm, add the onions, peppers, and a pinch of salt and pepper. Fry for about 12 minutes over a medium heat until very soft, stirring every so often. Add the garlic, fry for a minute, then add the cumin, oregano, and cayenne or chile flakes and fry for 2 minutes, stirring regularly. Return the chicken thighs to the pot and pour in the stock. Simmer for 25 minutes, then add the beans and continue to cook for another 10 minutes. Remove the chicken thighs once cooked through and take the meat off the bones and shred. Set aside, discarding the chicken skin if you wish. Use a potato masher or the back of your wooden spoon to crush roughly a third of the beans (this will help thicken the chili). Add the frozen corn, then cook for 5 minutes or so until tender. Remove from the heat, add the chicken, lime juice, plus a little zest if you like, and taste for seasoning. Ladle into bowls and finish with the toppings you like. Big veg noodle salad with lime, ginger, and peanut dressing Melissa Hemsley's big veg noodle salad. Lizzie Mayson Hemsley said: "Even in the colder months, I think a big noodle salad is always a great thing to have up our sleeves. In the depths of winter, in and among all the cheesy bakes and big soups and stews, I crave fresh, zingy, crunchy salads like this. Use any noodles you like, even spaghetti would work if that's what you've got. I love buckwheat (soba) noodles. Swap the peanuts and peanut butter for cashews or almonds if you prefer. Do the lime trick to release more juice by rolling the limes on the kitchen counter before you slice them in half." Advertisement Serves: Two Time: 15 minutes Ingredients Advertisement 2 nests of noodles 2 teaspoons toasted sesame oil 2 big handfuls of raw peanuts 1 large carrot, cut into ribbons with a peeler or cut into thin strips with a knife 1⁄4 sweetheart cabbage, very thinly sliced 1 small apple or pear, cored, and cut into matchsticks 1⁄2 small cucumber, diced For the dressing: 2 tablespoons smooth or crunchy peanut butter 2 big limes: zest of 1 and juice of both 2 tablespoons tamari or soy sauce Thumb of fresh ginger, finely grated Pinch of chile flakes 2 teaspoons maple syrup Sea salt and black pepper Advertisement Method For the dressing, whisk all the ingredients in a small bowl or shake in a jam jar. Taste for seasoning. Cook the noodles according to the packet instructions, then drain and rinse immediately with cold water. Toss the noodles with the sesame oil and set aside. Toast the peanuts in a dry frying pan over a medium heat for 3 to 5 minutes, shaking the pan every so often, until golden. In a large bowl, toss together the noodles, carrot, cabbage, apple or pear and roughly half the dressing. Slowly add more splashes of dressing if you like, tossing as you go, until everything is nicely coated. Top with the cucumber and peanuts. Chocolate peanut butter (no-bake) bars Melissa Hemsley's chocolate peanut butter bars. Lizzie Mayson Hemsley said: "A no-bake family favorite treat. Pretty irresistible but if you don't devour them over a few days, they will keep for a week in a sealed container. Store in the fridge in warmer months. If catering to any nut allergies, swap the ground almonds for more oats and switch the nut butter for pumpkin seed butter. If you have a preferred nut butter, try that — I love a cashew butter but keep it to the smooth variety for a silkier texture. Look out for 60% minimum cocoa solids for your chocolate." Advertisement Makes: 16 Time: 20 minutes, plus setting time Ingredients Advertisement 250 grams smooth peanut butter 100 grams ground almonds 100 grams porridge oats 6 tablespoons maple syrup 1 teaspoon vanilla extract A little pinch of sea salt For the chocolate layer 180 grams dark chocolate, roughly broken 1 tablespoon smooth peanut butter Flaky sea salt, for sprinkling Advertisement Optional topping 2 handfuls of toasted peanuts Method Advertisement Line a small baking pan or dish (about 15 x 8cm or square equivalent) with greaseproof paper, making sure it comes up high enough on the sides so that you can lift the mixture out of the pan once it's set. Mix the peanut butter, ground almonds, oats, maple syrup, vanilla, and salt together in a bowl. Transfer to the lined pan, pressing down with the back of a spoon or spatula to make it even and compact. For the chocolate layer, melt the chocolate in a bain-marie (a heatproof bowl set over a pan of very lightly simmering water, making sure the bottom of the bowl does not touch the water). Once melted, stir through the peanut butter and pour this evenly over the base. If topping with the whole peanuts, scatter these over the chocolate layer. Sprinkle over a little pinch of flaky sea salt. Set in the fridge for 1 hour or until firm, then cut into 16 pieces to serve.

Share Tweet Share Share Email Enterprises must rely on precise forecasting to make informed decisions. Predicting financial outcomes accurately can mean the difference between thriving in a competitive market or facing unexpected setbacks. Traditional forecasting methods, though effective in the past, are often insufficient in handling the complexities and fast changes of modern markets. Enter artificial intelligence (AI). AI-powered forecasting is revolutionizing how businesses predict financial outcomes. By leveraging advanced algorithms and vast datasets, AI offers enterprises an unprecedented ability to foresee financial trends and optimize decision-making . The Basics of AI in Financial Forecasting Artificial intelligence involves using machines and software to perform tasks that traditionally require human intelligence. In financial forecasting, AI algorithms analyze historical data, detect patterns, and make predictions about future outcomes. These systems adapt and improve over time, ensuring more accurate forecasts. Some key components of AI in forecasting include: Machine Learning (ML): ML algorithms enable systems to learn from data without explicit programming. This adaptability allows continuous improvement in prediction accuracy. Natural Language Processing (NLP): NLP analyzes unstructured data, such as news articles or social media posts, to identify trends that might affect financial outcomes. Deep Learning: A subset of ML, deep learning utilizes neural networks to process complex datasets, uncovering insights that would be difficult for traditional methods to identify. Why Traditional Forecasting Falls Short Traditional financial forecasting relies heavily on historical data and static models. While this approach worked well in the past, it often struggles with today’s challenges, such as: Data Overload: Businesses generate massive amounts of data daily. Traditional methods lack the capacity to process and analyze such volumes effectively. Dynamic Markets: Markets are more volatile than ever, influenced by a range of factors, including geopolitical events, technological advancements, and consumer sentiment. Human Bias: Manual forecasting is prone to cognitive biases that can skew results and lead to suboptimal decisions. Benefits of AI-Powered Forecasting AI-powered forecasting addresses these shortcomings, offering a host of benefits for enterprises: Enhanced Accuracy AI systems analyze extensive datasets, identifying subtle patterns and correlations that humans might overlook. This results in more precise forecasts, reducing the risk of costly errors. Real-Time Insights Unlike traditional methods that often rely on periodic updates, AI-powered tools provide real-time insights. This capability allows businesses to respond swiftly to changing market conditions. Scalability AI solutions can handle vast amounts of data, making them ideal for large enterprises with diverse operations. As a business grows, its AI tools can scale accordingly, ensuring consistent performance. Cost Efficiency Automating forecasting processes with AI reduces the need for extensive manual input. This not only saves time but also lowers operational costs. Predictive and Prescriptive Insights AI doesn’t just predict outcomes; it also suggests actionable steps to achieve desired results. For example, if a forecast indicates declining sales, the system might recommend strategies to mitigate losses. Applications of AI-Powered Forecasting in Enterprises Revenue Forecasting AI can predict future revenue based on historical sales data, market trends, and external factors like economic conditions. These forecasts help businesses set realistic sales targets and allocate resources effectively. Expense Management Enterprises can use AI to forecast expenses, identifying areas where costs might increase. This insight enables proactive budget adjustments and cost-saving measures. Risk Management By analyzing market trends, competitor activities, and regulatory changes, AI systems help businesses anticipate risks and develop mitigation strategies. Inventory Optimization AI-powered forecasting tools predict demand patterns, helping businesses optimize inventory levels. This reduces the risk of overstocking or stockouts, improving overall efficiency. Investment Decisions AI provides insights into market trends, helping enterprises make informed investment decisions. Predictive analytics highlight opportunities with high potential returns while minimizing exposure to risks. Challenges in Implementing AI-Powered Forecasting While AI-powered forecasting offers numerous benefits, implementing these systems is not without challenges: Data Quality Accurate forecasting relies on high-quality data. Inconsistent or incomplete datasets can lead to flawed predictions. Enterprises must invest in robust data management systems to ensure reliability. Integration with Existing Systems Integrating AI tools with legacy systems can be complex and time-consuming. Businesses need a clear strategy to ensure seamless integration. Skill Gap Adopting AI requires skilled professionals who can develop, deploy, and manage these systems Additionally,Enterprises may need to invest in training or hire specialized talent. Ethical Concerns AI systems must be designed and used ethically. Transparency, data privacy, and fairness are critical considerations to avoid reputational and legal risks. Best Practices for Implementing AI-Powered Forecasting To maximize the benefits of AI-powered forecasting, enterprises should follow these best practices: Define Clear Objectives Before implementing AI, businesses must identify their goals. Thus, Whether it’s improving revenue forecasts or reducing operational costs, clear objectives guide the development of effective AI systems. Invest in Quality Data High-quality data is the foundation of accurate forecasting. Enterprises should prioritize data cleansing, integration, and validation processes. Choose the Right Tools Not all AI tools are created equal. Businesses should evaluate solutions based on their specific needs, scalability, and ease of integration. Continuous Monitoring and Improvement AI systems require regular monitoring to ensure optimal performance. Additionally, Businesses should analyze system outputs and make adjustments as needed to improve accuracy and reliability. Foster a Culture of Innovation Successful implementation of AI requires organizational buy-in. Moreover, Leaders should promote a culture that embraces innovation and encourages employees to adopt new technologies. The Future of AI in Financial Forecasting As technology advances, AI-powered forecasting will become even more integral to enterprise success. Future developments may include: Enhanced Predictive Models: Advanced algorithms will offer even greater accuracy, factoring in variables such as climate change or social trends. Increased Personalization: Enterprises will tailor forecasts to individual business units or customers, enhancing decision-making at every level. Democratization of AI: As AI tools become more accessible, smaller businesses will also benefit from these capabilities, leveling the playing field. Conclusion AI-powered forecasting represents a transformative leap for enterprises aiming to predict financial outcomes with greater precision and efficiency. By harnessing the power of advanced algorithms, businesses can navigate the complexities of modern markets, mitigate risks, and seize opportunities. Furthermore, While challenges exist, a strategic approach to implementation ensures that enterprises can unlock the full potential of AI-powered forecasting, driving sustained growth and success in an advancing space . Related Items: Financial Forecasting , Forecasting for Enterprises , Predicting Financial Outcomes Share Tweet Share Share Email Recommended for you Leveraging Data Analytics for More Accurate Financial Forecasting Comments

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