Share Facebook Twitter Google + LinkedIn Pinterest DuPont Pioneer today announced 12 new Pioneer® brand T Series soybean varieties with Roundup Ready 2 Xtend™ technology that will be available for pre-ordering this fall in the United States. The products are being made available for pre-orders in anticipation of a commercial launch of the trait for 2016 planting, pending applicable regulatory reviews.“Pioneer® brand soybeans with Roundup Ready 2 Xtend™ technology will provide farmers an improved way to manage tough-to-control weeds while delivering the outstanding yield and service they expect from Pioneer,” said Steve Reno, DuPont Pioneer vice president, regional director – U.S. & Canada. Soybeans with Roundup Ready 2 Xtend™ technology will enable applications of labeled dicamba herbicides, pending herbicide registration, as well as glyphosate herbicides. Dicamba herbicides will provide farmers a new way to manage tough-to-control and glyphosate-resistant broadleaf weeds such as waterhemp, marestail and palmer amaranth.“DuPont Pioneer sales, agronomy and seed production teams have been gearing up to launch the new trait in Pioneer soybeans,” said Reno. “We will have the agronomic data to help our customers get the right products on the right acres to meet their needs and the product volumes to support what we anticipate to be the largest soybean product launch in our history.”Soybeans with Roundup Ready 2 Xtend™ technology are approved for food, feed and cultivation in the United States and Canada. Sale and delivery of Pioneer® brand soybeans with Roundup Ready 2 Xtend™ technology will be completed once applicable regulatory reviews are concluded.Reno noted that if Roundup Ready 2 Xtend™ technology is not commercially launched in time for the 2016 crop year, Pioneer expects to have good supply of other elite soybean varieties to meet the needs of its customers who have pre-ordered varieties with Roundup Ready 2 Xtend™ technology.AUDIO: The Ohio Ag Net’s Ty Higgins visited with DuPont Pioneer’s Business Director Randy Minton about the launch of new soybean varieties with RR2X technology.Ty’s Wrap for Friday
Related Posts 9 Books That Make Perfect Gifts for Industry Ex… 4 Keys to a Kid-Safe App Like traditional sports, e-sports can be costly. A prime component of e-sports infrastructure is video streaming, which enables competition. Viewers are able to share the videos and streaming links to millions, requiring companies to build their own solutions or work with solid tech companies to deal with heavy bandwidth. Services like highlights, instant replays, live streaming, and anti-cheating detection measures are some of the instant services that need to be available for viewers and gamers.In order for the e-sport infrastructure to thrive, software developers need to find a way to scale in a way that works effectively on a cloud mixed platform, as well as on dedicated servers. Once dedicated platforms achieve the ability to scale with automation features typically found on scale cloud platforms, scaling the e-sports platform to meet high-performance criteria will be much easier.A report published by PricewaterhouseCoopers predicts that the sports industry will inevitably face problems due to the drastic decline in viewership. The entire industry is running on a distribution model that is stuck in the past. What’s worse is that some of the most influential companies in the industry are slow to implement innovative technology measures.New revenue models are truly reinventing the way users engage with content online. Services like Twitch provide a platform for streaming thousands of games online daily. Some of the most popular games on this service, namely “League of Legends” and “Dota 2,” generate close to 70 million views each month. Given the high number of viewers these services experience, there is no denying the importance of game streaming in today’s culture — and web infrastructure needs to be able to keep up with these changes.How to Select the Right Web Infrastructure PartnersThere are estimated to be more than 500 million individuals around the world who watch other people play video games.To be able to handle high volumes of traffic during peak seasons, it’s crucial to have the ability to deal with low-latency applications and high bandwidth simultaneously without disruption. A high-performance network available around the globe is extremely important, and it’s one of the driving factors of player satisfaction.It’s also important to automate and provide scalable capacity on both cloud and non-cloud platforms at a competitive price. The availability of equipment in a global data center will provide low bandwidth cost combined with a lower latency to create a better user experience.It’s also likely that game developers in the future will embrace artificial intelligence and machine learning to form a better understanding of how players interact with characters in their games. These tools will ensure a more customized gaming experience for players who could have packages tailored to their particular interests.The Success of E-SportsThe success of online gaming is directly related to the performance, price, and availability of the infrastructures they are offered on. If games are slow to load or glitch often, fans will start leaving in droves.The infrastructure needs to be top-notch in order for companies to maximize their return. Working with a partner that can provide a sufficient balance between price and performance will make a big difference for the players and publishers alike.Also, it’s not just gamers and sports enthusiasts who realize that e-sports are the next big thing. Vision Esports, a holding company co-founded by NBA star Rick Fox that invests in up-and-coming brands in the e-sports industry, has received backing from sports stars such as Kevin Durant and Odell Beckham Jr., sports teams like the St. Louis Cardinals, and even other big agencies like Shamrock Holdings — the Disney family’s personal investment company.For this industry to continue to grow, it is important for infrastructure development to meet the needs of its users. A reliable platform is crucial to ensure the widespread growth of e-sports is fully supported for years to come. 12 Unique Gifts for the Hard-to-Shop-for People… 5 Outdoor Activities for Beating Office Burnout Robert van der MeulenTechnical Evangelist at Leaseweb Robert van der Meulen is the technical evangelist at Leaseweb, a global IaaS provider.
Vik BogdanovChief Marketer at 8allocate The financial industry was one of the first to adopt and enjoy the benefits of artificial intelligence (AI). The annual budgets of large banks amount to billions of dollars, which is comparable to the state budgets of some developing countries. No surprise that banks and financial organizations will be the key drivers of AI R&D in FinTech. They’ll also be the ones to bridge the AI knowledge gaps across other industries and support FinTech startups ecosystem.The largest and most successful credit organizations have already developed official AI strategies.Most of the strategies imply that internal or outsourced AI departments and teams be launched. According to the forecast of Autonomous Research, by 2030, AI technologies will allow banks to reduce operating costs by 22%. Savings of financial institutions can reach $1 trillion in the long run. At the same time, an acute problem for large banks is the lack of qualified AI developers and data analytics specialists. The lack of devs can slow down the development of technology in many sectors, with FinTech being damaged the most.The previous wave of FinTech startups and client applications in the field of financial services was associated with the proliferation of smartphones. At about the same time, the term “FinTech” itself appeared. Smartphones allowed FinTech projects and leading banks to take advantage of client location determination, encryption, digital signature, secure remote access, etc. As public and private cloud computing platforms emerged, work with financial data became streamlined and facilitated.AI and FinTech: a Happy Marriage?AI gave birth to a new wave of applications and services in the financial market. Since AI can handle unstructured information such as images, video, audio, location, and time series data perfectly well, there are already AI-based solutions able to detect fraud, assess creditworthiness and risks, identify a person based on his/her digital footprints, etc. In the insurance sector, they help identify insurance fraud, automate claims cases, and improve risk management.By using AI-driven chatbots, banks can take their customer relationships and experiences to the next maturity level, as they help personalize UX in real-time and in the most efficient way ever.Another AI product category that’s extremely popular among banks, and financial companies is a virtual assistant. Just like bots, they help walk the user through the bank’s services and products and, thus, improve the user journey, provide insights and set specific calls to action to increase goal conversions.Let’s take a look at some of the most exciting AI initiatives launched by banks and financial organizations.How Banks Leverage AI TechnologiesJP Morgan: uses AI to automate the analysis of loan agreements. The bank recently introduced the Contract Intelligence platform (COiN) which allows users to analyze such agreements, highlight the key terms and conditions, as well as critical data. Previously, this work required 360 thousand man-hours to complete.Wells Fargo: announced the creation of a special AI team that will be engaged in developing innovative payment technologies and improving services for its corporate clients. In particular, Wells Fargo’s AI team will work on creating technology that can help the bank provide more personalized online customer service.Current projects assigned to the bank’s AI team range from systems that can spot payments fraud or misconduct by employees to technology that can make more personal recommendations on financial products to clients.Bank of America launched Erica, an AI-based virtual assistant that is planned to be integrated into a mobile app and several ATMs all over the country.CityBank: has recently invested in several AI-based startups and projects like Feedzai that uses AI to detect and fight fraud in online banking. Another example is a company called Clarity Money that leverages the power of AI to help clients choose financial products and manage their assets.According to a press release, “Feedzai’s machine learning technology will automatically adjust controls to monitor discrepancies and changes in client payment behavior, allowing for the analysis and identification of potential anomalies in affected payments before they are sent for clearing. It will do this while ensuring that payments are processed quickly and efficiently.” Citi expects to launch its innovative solution in 2019.How FinTech Startups Leverage AIThe financial services industry is desirable for startups. Some of them strive to make a revolution in traditional banking, while others tend to help banks improve their products with new and advanced services. There are several AI use cases from a FinTech startup world: from fraud detection and consulting services to personal finance management to transaction assistance, and so on.Comparing consumer behavior with a vast array of historical data, we can find the smallest details and prevent cyber fraud in advance. AI tools are continually being trained and improved as they accumulate data and get upgrades.AI-based consulting robots can help reduce risks for clients by recommending suitable financial products and objects for investment through a variety of information sources.Particularly promising for FinTech startups is the sphere of personal finance management. There are already several successful startups here such as Mint and Wallet.These platforms can collect information about personal finances, track data over time and make informed decisions and recommendations. They are convenient to use and will suit even those who previously could not have the patience to monitor their expenses and income.The Most Promising AI Startups in the Financial SectorDreamQuark: is a platform for developing and designing AI applications specifically for the banking and insurance industries. It can be used for product selection, customer segmentation, fraud detection, credit scoring, and credit check.Alpaca: helps make predictions of events in the financial market. For their market forecasting models, they use in-depth high-frequency data training (machine learning, or ML) to recognize typical scenarios that indicate price changes. They developed MarketStore — a highly scalable, proprietary database server optimized for working with time series of financial data. Now, this software is entirely open-source.DataVisor: uses AI to detect fraud and other financial crimes. The company applies unsupervised ML models to find previously unknown fraudulent schemes. As a result, companies that use DataVisor products report their performance to be 50% more efficient than that of competitors.Quantexa: is another exciting new FinTech startup. It uses AI to predict risks of default, proactively detect fraud and create profiles of both unscrupulous actors and trustworthy clients, as well as describe the links between them.FinTech has taught banks to be user-centric and to anticipate future needs. Just as Tesla is more than just a vehicle, so are banking services: they become entire ecosystems. As users, we are fortunate: at this very second, someone is creating a new smart robot consultant that will tell you who to invest in and will use your dad’s voice to make the recommendation as personalized as possible. That’s how AI helps banks and FinTech startups gain a competitive advantage and make a difference when it comes to user experience. The Rise and Rise of Mobile Payment Technology Related Posts What it Takes to Build a Highly Secure FinTech … 6 User-Interface Musts for Personal Finance Apps Digital storyteller and brand journalist. Tags:#AI use cases in fintech#AI use in Fintech#how fintech startups use AI#how fintech uses AI The Top 5 Issues Faced by Futurists
NEXT BLOCK ASIA 2.0 introduces GURUS AWARDS to recognize and reward industry influencers The Cavaliers scored 43 points in the first quarter, but then went almost 6½ minutes without scoring in the fourth. They played the second half without coach Tyronn Lue, who went to the locker room in the second quarter with what the team said was an illness.“It’s like right now, when we hit adversity, we go our separate ways,” guard Isaiah Thomas said. “And that’s just how I feel and it looks like that as well.”The Magic made their first 10 shots of the second half and won consecutive games for the first time since Nov. 8-10.James did not have a rebound or an assist in a foul-plagued second half.“I gave my teammates some opportunities to knock ’em down, but they just didn’t go. You can’t get assists when they don’t go down, but that doesn’t stop me from finding my guys on the floor,” he said. “At this point it’s not what you say, it’s what you do. We’ve got to go out and play well as a collective group, everyone hitting at the right time on all cylinders, and right now we’re not doing that.”ADVERTISEMENT John Lloyd Cruz a dashing guest at Vhong Navarro’s wedding Ingram, Randle lead Lakers over Suns Globe Business launches leading cloud-enabled and hardware-agnostic conferencing platform in PH Read Next The Cavaliers fell apart in the second half and lost for the 14th time in 21 games. They have given up an average of 122.4 points in their last five losses.“I couldn’t give up on my teammates like that. I just couldn’t do it,” James said after scoring 25 points. “We put too much into the game every single day.FEATURED STORIESSPORTSWATCH: Drones light up sky in final leg of SEA Games torch runSPORTSLillard, Anthony lead Blazers over ThunderSPORTSMalditas save PH from shutout“This is no time to be ashamed about our season,” he added. “We’ve got quite a few games left. If we’re still serious about the season, then we’ve got to play some good ball at some point.”Jonathon Simmons scored 22 of his career-high 34 points in the third quarter for the Magic, who broke a nine-game home-court losing streak against Cleveland. Simmons made seven of eight shots in his 22-point quarter, finishing the period with a 3-point buzzer shot in a game in which he almost did not play because of a sprained right ankle.“To be honest, adrenaline was just going and I didn’t even realize what was going on,” Simmons said. “I was just trying to play hard and trying not to have another setback.”J.R. Smith made three 3-pointers in the first four minutes to help the Cavaliers (30-22) take a 15-4 lead, and they led by 21 points late in the first half.Jeff Green dunked to put the Cavaliers up 61-40 with 4:50 left in the half, but they went scoreless for almost four minutes while the Magic (17-36) sliced nine points off the lead.James opened the second half with a couple of 3-pointers to regain a 16-point lead for Cleveland, but Simmons scored 12 points during the Magic’s 19-2 run that gave them their first lead of the game at 78-77 with 5:33 left in the third quarter.James was called for his fourth foul just 17 seconds later and sat for more than seven minutes.When he re-entered the game with 10:10 remaining in the fourth quarter, the Magic ran off 14 straight points to lead 108-92.Dwyane Wade banked in a 3-pointer for Cleveland’s only points in the first 7:25 of the fourth quarter.TIP-INSCavaliers: Wade missed the morning shootaround with an illness but played 22 minutes.Magic: Simmons’ 22-point quarter was three points short of the franchise record set by Tracy McGrady in 2003. … F Aaron Gordon missed a fifth straight game with a strained left hip flexor and has withdrawn from the Slam Dunk Contest at NBA All-Star Weekend.UP NEXT Cavaliers: Host Minnesota on Wednesday.Magic: Host Atlanta on Thursday. MOST READ Trending Articles PLAY LIST 00:50Trending Articles00:59Sports venues to be ready in time for SEA Games01:27Filipino athletes get grand send-off ahead of SEA Games01:29Police teams find crossbows, bows in HK university01:35Panelo suggests discounted SEA Games tickets for students02:49Robredo: True leaders perform well despite having ‘uninspiring’ boss02:42PH underwater hockey team aims to make waves in SEA Games01:44Philippines marks anniversary of massacre with calls for justice01:19Fire erupts in Barangay Tatalon in Quezon City LATEST STORIES Brace for potentially devastating typhoon approaching PH – NDRRMC Slow and steady hope for near-extinct Bangladesh tortoises Cleveland Cavaliers forward LeBron James, rear, and center Tristan Thompson defend against Orlando Magic forward Jonathon Simmons during the second half of an NBA basketball game Tuesday, Feb. 6, 2018, in Orlando, Fla. The Magic won 116-98. (AP Photo/Phelan M. Ebenhack)ORLANDO, Fla. — After another embarrassing defeat and two days before the trade deadline, LeBron James let it be known he’s not going anywhere, at least for now.“I’m here for this season right now to try and figure out a way we can still compete,” James said after his Cleveland Cavaliers blew a 21-point lead in a 116-98 loss to the Orlando Magic. “I owe it to my teammates to finish this season out no matter how it ends up. I would never waive my no-trade clause.”ADVERTISEMENT Typhoon Kammuri accelerates, gains strength en route to PH Don’t miss out on the latest news and information. AFP official booed out of forum 2 ‘newbie’ drug pushers fall in Lucena sting View comments