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NASSAU, Bahamas -- Scottie Scheffler brought a new putting grip to the Hero World Challenge and felt enough improvement to be satisfied with the result, a 5-under 67 that left him three shots behind Cameron Young on Thursday. Young was playing for the first time since the BMW Championship more than three months ago and found great success on and around the greens of Albany Golf Club, chipping beautifully and holing four birdie putts from 15 feet or longer for his 64. He led by two shots over Justin Thomas in his first competition since his daughter was born a few weeks ago. Thomas ran off four straight birdies late in his round and was a fraction of an inch away with a fifth. The big surprise was Scheffler, the No. 1 player in golf who looked as good as he has all year in compiling eight victories, including an Olympic gold medal. His iron play has no equal. His putting at times has kept him from winning more or winning bigger. He decided to try to a “saw” putting grip from about 20 feet or closer — the putter rests between his right thumb and his fingers, with his left index finger pointed down the shaft. “I’m always looking for ways to improve,” Scheffler said. Scheffler last year began working with renowned putting instructor Phil Kenyon, and he says Kenyon mentioned the alternative putting grip back then. “But it was really our first time working together and it’s something that’s different than what I’ve done in the past,” Scheffler said. “This year I had thought about it from time to time, and it was something that we had just said let’s table that for the end of the season, take a look at it. “Figured this is a good week to try stuff.” He opened with a wedge to 2 feet and he missed a 7-foot birdie putt on the par-5 third. But he holed a birdie from about the same distance at the next par 5, No. 6, and holed a sliding 6-footer on the ninth to save par. His longest putt was his last hole, from 12 feet for a closing birdie. “I really enjoyed the way it felt,” he said. “I felt like I’m seeing some improvements in my stroke.” Young, regarded as the best active player without a PGA Tour victory, is treating this holiday tournament as the start of a new season. He worked on getting stronger and got back to the basics in his powerful golf swing. And on this day, he was dialed in with his short game. He only struggled to save par twice and kept piling up birdies in his bogey-free round on an ideal day in the Bahamas. “The wind wasn’t blowing much so it was relatively stress-free,” Young said. Patrick Cantlay, along with Scheffler playing for the first time since the Presidents Cup, also was at 67 with Ludvig Aberg, Akshay Bhatia and Sahith Theegala. Thomas also took this occasion to do a little experimenting against a 20-man field. He has using a 46-inch driver at home — a little more than an inch longer than his regular driver — in a bid to gain more speed. On a day with little wind, on a golf course with some room off the tee, he decided to put it in play. “Just with it being a little bit longer, I just kind of have to get the club out in front of me and get on top of it a little bit more,” Thomas said. “I drove the hell out of it on the back, so that was nice to try something different and have it go a little bit better on the back.” Thomas said the longer driver gives him 2 or 3 mph in ball speed and 10 extra yards in the air. “It’s very specific for courses, but gave it a try,” he said. Conditions were easy enough that only four players in field failed to break par, with Jason Day bringing up the rear with a 75. ___ AP golf: https://apnews.com/hub/golfNoneGlobal Predictive Analysis Software Market Size, Share and Forecast By Key Players-Sisense, Microsoft, Oracle, IBM, Minitab 12-09-2024 08:34 PM CET | Advertising, Media Consulting, Marketing Research Press release from: Market Research Intellect Predictive Analysis Software Market USA, New Jersey- According to the Market Research Intellect, the global Predictive Analysis Software market is projected to grow at a robust compound annual growth rate (CAGR) of 15.38% from 2024 to 2031. Starting with a valuation of 7.23 Billion in 2024, the market is expected to reach approximately 17.06 Billion by 2031, driven by factors such as Predictive Analysis Software and Predictive Analysis Software. This significant growth underscores the expanding demand for Predictive Analysis Software across various sectors. The Predictive Analytics Software market is experiencing significant growth as organizations increasingly rely on data-driven insights to enhance decision-making and gain a competitive edge. This software leverages advanced algorithms, machine learning, and AI to analyze historical data and predict future trends, helping businesses optimize operations, reduce risks, and improve customer experiences. Industries such as healthcare, finance, retail, and manufacturing are adopting predictive analytics to forecast demand, manage inventory, detect fraud, and improve overall efficiency. As the volume of big data grows and the need for real-time decision-making intensifies, the demand for predictive analytics software is expected to continue expanding. The integration of cloud-based solutions and AI technologies further enhances its capabilities, making predictive analytics more accessible and scalable for businesses of all sizes. The dynamics of the Predictive Analytics Software market are driven by the increasing availability of big data and the growing reliance on artificial intelligence and machine learning technologies. Businesses are adopting predictive analytics to gain deeper insights into customer behavior, optimize supply chains, and improve operational efficiency. The shift toward cloud-based platforms is also propelling market growth by providing scalability and cost-effective solutions. However, challenges such as data privacy concerns, the complexity of data integration, and the need for skilled personnel to interpret results may limit adoption. To remain competitive, software providers are focusing on enhancing the accuracy, usability, and customization of their predictive analytics solutions, ensuring they meet the evolving needs of various industries while addressing security and compliance requirements. Request PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.marketresearchintellect.com/download-sample/?rid=1732840&utm_source=OpenPr&utm_medium=049 Key Drivers: The growth of the Predictive Analysis Software market is driven by several key factors. Technological advancements in Predictive Analysis Software have enabled greater efficiency and enhanced capabilities, spurring adoption across industries. Additionally, the rising demand for sustainable and eco-friendly solutions is pushing companies to innovate and adopt greener practices. Expanding applications in sectors like Predictive Analysis Software and Predictive Analysis Software are further contributing to market demand, as these industries seek advanced solutions to streamline operations and enhance product quality. Favorable government policies and incentives in regions such as North America, Europe, and Asia-Pacific support investment and growth. Moreover, an increasing focus on Predictive Analysis Software for improving operational efficiency and cost-effectiveness is encouraging businesses to embrace new technologies, fostering sustained market expansion. Mergers and Acquisitions Mergers and acquisitions (M&A) play a pivotal role in the Predictive Analysis Software market, as companies look to expand their capabilities, access new technologies, and strengthen market presence. Leading players engage in strategic acquisitions to consolidate their position and gain a competitive edge. These transactions often facilitate the integration of advanced Predictive Analysis Software solutions, helping firms broaden their product portfolios and meet growing customer demands. Additionally, M&A activities support companies in achieving economies of scale and penetrating new regional markets, particularly in high-growth areas like Asia-Pacific. Through such strategic alliances, businesses aim to accelerate innovation, enhance operational efficiency, and address evolving market challenges, ultimately driving the overall growth of the Predictive Analysis Software market. Get a Discount On The Purchase Of This Report @ https://www.marketresearchintellect.com/ask-for-discount/?rid=1732840&utm_source=OpenPr&utm_medium=049 The following Key Segments Are Covered in Our Report By Type Cloud Based On-Premise By Application Large Enterprise SMEs Major companies in Predictive Analysis Software Market are: Sisense, Microsoft, Oracle, IBM, Minitab, Alteryx, SAS, Anaconda, TIBCO Software, RapidMiner, KNIME, DataRobot, Dataiku, FICO, GoodData, Radius Intelligence, Buxton Global Predictive Analysis Software Market -Regional Analysis North America: North America is expected to hold a significant share of the Predictive Analysis Software market due to advanced technological infrastructure and the presence of major market players. High demand across sectors like Predictive Analysis Software and Predictive Analysis Software is driving growth, with the U.S. being a key contributor. Additionally, ongoing investments in R&D and innovation reinforce the region's strong market position. Europe: Europe is projected to experience steady growth, driven by stringent regulatory standards and a rising focus on sustainability in Predictive Analysis Software practices. Countries like Germany, France, and the UK are leading due to their advanced industrial base and supportive government policies. The demand for eco-friendly and efficient Predictive Analysis Software solutions is expected to continue fostering market expansion. Asia-Pacific: Asia-Pacific is anticipated to be the fastest-growing region, fueled by rapid industrialization and urbanization. Countries such as China, India, and Japan are driving demand due to expanding consumer bases and increasing investments in infrastructure. The region's robust manufacturing sector and favorable economic policies further enhance growth opportunities in the Predictive Analysis Software market. Latin America: Latin America and the Middle East & Africa are expected to show moderate growth in the Predictive Analysis Software market. In Latin America, growth is supported by rising industrial activities in countries like Brazil and Mexico. Meanwhile, in the Middle East & Africa, infrastructure development and an increasing focus on innovation in sectors like Predictive Analysis Software are key drivers of market expansion. Middle East and Africa: The Middle East and Africa represent emerging markets in the global Predictive Analysis Software market, with countries like UAE, Saudi Arabia, South Africa, and Nigeria showing promising growth potential. Economic diversification efforts, urbanization, and a young population are driving demand for Predictive Analysis Software products and services in the region. Frequently Asked Questions (FAQ) 1. What is the current size of the Predictive Analysis Software market? Answer: The Predictive Analysis Software market was valued at approximately 7.23 Billion in 2024, with projections suggesting it will reach 17.06 Billion by 2031, growing at a CAGR of 15.38%. 2. What factors are driving the growth of the Predictive Analysis Software market? Answer: The market's expansion is attributed to several factors, including increased demand for Predictive Analysis Software, advancements in Predictive Analysis Software technology, and the adoption of Predictive Analysis Software across various sectors. 3. Which regions are expected to dominate the Predictive Analysis Software market? Answer: Regions such as North America, Europe, and Asia-Pacific are anticipated to lead due to the presence of major industry players and growing investments in Predictive Analysis Software. 4. Who are the key players in the Predictive Analysis Software market? Answer: Prominent companies in the Predictive Analysis Software market include Predictive Analysis Software, Predictive Analysis Software, and Predictive Analysis Software, each contributing to market growth through innovations and strategic partnerships. 5. What challenges does the Predictive Analysis Software market face? Answer: The market faces challenges such as Predictive Analysis Software, regulatory compliance, and competition from alternative solutions. However, ongoing advancements aim to address these issues. 6. What are the future trends in the Predictive Analysis Software market? Emerging trends include the integration of Predictive Analysis Software technology, sustainability practices, and digital transformation in processes, all expected to shape the market's future. 7. How can businesses benefit from the Predictive Analysis Software market? Answer: Businesses can leverage growth opportunities in the Predictive Analysis Software market by adopting new solutions, enhancing operational efficiency, and expanding their offerings to meet evolving consumer demands. 8. Why invest in a Predictive Analysis Software market report from MRI? Answer: MRI's report provides in-depth analysis, future projections, and key insights to support strategic decision-making, enabling businesses to stay competitive and capitalize on growth trends in the Predictive Analysis Software market. 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