QPR manager Harry Redknapp shrugged off the frosty reception he was given from some of the home fans on his return to Upton Park.The former West Ham player and manager was barracked during a 1-1 draw that extended bottom-of-the-table Rangers’ unbeaten run to five matches.Redknapp said: “I don’t give a monkey’s. Am I going home worrying about what people think of me here? I couldn’t give two monkeys’. It’s the least of my problems at the moment.”The Hammers secured a deserved point with Joe Cole’s second-half equaliser after Loic Remy had scored on his debut to put Rangers ahead.Redknapp admitted: “It was difficult for us and I couldn’t sit here and say we deserved to win. A point here is a good result.”More reaction to follow later.See also:Frustrated Allardyce bemoans West Ham’s ‘Achilles heel’Redknapp ’embarrassed’ by West Ham linkRedknapp laughs off West Ham rumoursRemy scores but Cole denies 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 Follow West London Sport on TwitterFind us on Facebook
A Web Developer’s New Best Friend is the AI Wai… China and America want the AI Prize Title: Who … AI: How it’s Impacting Surveillance Data Storage Every salesperson wants an edge. Yet many are afraid of being edged out by AI, which makes them hesitant to embrace emerging tech. This is a big mistake, especially for high performers and superstar closers.Machine learning, specifically deep learning, fills in gaps that human intuition never could. Put to use across a team of eager sales pros, its innate advantages add a layer of intelligence to any crew’s knowledge base.But the only way to make deep learning an invisible member of your sales department is to get over the fear of a would-be takeover by robots.AI as an AllyInstead of viewing AI-related processes with disdain or distrust, salespeople should open their minds to how much of a game changer advancements like deep learning can be. Instead of replacing team members, deep learning frees up reps to focus on the tasks best suited to the human touch. As a tool, deep learning provides insights by spotting and naming patterns in millions of unstructured data points. Even the most brilliant salesperson could never achieve that kind of foresight.An MIT-published study found that more than three-quarters of companies surveyed have adopted machine learning to propel their sales growth. Such progressive companies rely on deep learning to sift through rafts of data to uncover everything from the right time to contact a prospect to signals about which leads are most qualified. This level of discernment would have been impossible just a few years ago. Now, it’s not only achievable — it’s available to companies of all sizes.AI in ActionWithout a doubt, AI-driven deep learning can help your sales reps scale up operations and realize their true potential. Start your journey into deep learning by leveraging technology to accomplish three goals:1. Prioritize your incoming prospects for more reliable lead qualification.How much time do your salespeople spend chasing poorly qualified leads? Deep learning bridges gaps in your sales pipeline by determining who is most likely to convert to the next stage in the sales funnel. Prior to AI, marketing teams could only predict which leads were hottest based on a few factors. Today, deep learning programs can not only score leads more effectively, but they can continuously self-educate to enhance those predictions through constant data aggregation and analysis. As McKinsey research shows, the fastest-growing sales organizations are those that depend on such sophisticated analytics.Excited at the prospect but worried about getting deep learning off the ground? There are plenty of systems on the market that can handle this type of deep learning, relieving you of the burden of creating one from the ground up. Kurt Schlimme, senior director and sales operations PMO at BroadSoft, says his team has been using Clari, a platform that uses automation and AI to increase a manager’s visibility into a salesperson’s pipeline. This changes the conversations between sales reps and team leaders from “Where are you with this lead?” to “How can I help you close the sale?”2. Improve forecasting and customer management.Give your salespeople a crystal ball — that is, the ability to intelligently forecast what will happen down the road by applying deep learning. Because deep learning “can make use of unstructured data across a variety of sources,” explains Greg McBeth, head of revenue at Node.io, “sales leaders can not only identify a good-fit potential customer, but also predict the possible deal size, deal cycles, and other insights.”In addition to predicting prospects’ future moves, deep learning can offer suggestions for smarter management of current customers based on historic account details. Understanding how best to nurture a client reduces the risk of attrition and boosts the likelihood of upsells, cross-sells, and other revenue-producing opportunities. By removing the fallibility of human hunches, deep learning’s constantly evolving neural networks allow for more dependable sales outcomes.3. Discover opportunities for personalized selling.Although clients may not react logically in all situations, they do react predictably if you drill down far enough into their past behaviors. Consequently, the secret to anticipating customer needs and moves is to capitalize on deep learning insights. Salesforce research tells us that 62 percent of outstanding sellers expect to use AI-guided selling themselves. They also anticipate that their competition will embrace deep learning for similar reasons, such as closing more deals and keeping client engagement high.Allowing a computer program to prioritize opportunities and make recommendations enables salespeople to act more and ponder less. For instance, Crystal uses AI to provide sales teams with personality profiles of everyone they meet. Then, Crystal leverages that data to supply email templates based on each lead’s personality. A tool like this can help your sales reps personalize their communication with customers while saving them time, as they’re no longer starting each email from square one. It also takes away much of the guesswork that comes with sales, improving confidence across the board.Does the idea of increasing your sales team’s efficiency sound appealing? It’s highly doable. Even your team’s technophobes can learn to embrace deep learning. And once they realize its benefits, they’ll wonder how they ever got along without this high-impact edge. Tags:#AI#artificial intelligence#lead scoring#Machine Learning#personalized selling#sales#sales management#sales pipeline Brad is the editor overseeing contributed content at ReadWrite.com. He previously worked as an editor at PayPal and Crunchbase. You can reach him at brad at readwrite.com. AI is Not the Holy Grail of Sales, at Least Not… Brad AndersonEditor In Chief at ReadWrite Related Posts
A kangaroo court in western Assam’s Barpeta district made three people cough up ₹15,000 for stealing lotuses from a wetland.One of Assam’s prime wetlands, with 39 species of indigenous fish, the 91-hectare Kapla Beel has been a major source of income for the villages around it. The wetland is also known for its lotuses that the villagers protect.But the lotuses – as buds or in bloom – kept vanishing for a week before Durga Puja. The villagers formed a vigilante group and on October 4 caught three people from a neighbouring village under Sarthebari police station. The men were let go but on the condition they face a kangaroo court comprising elders of the two biggest villages adjoining the wetland. A couple of days ago, the court decided to penalise the three with a fine of ₹5,000 each for stealing the aquatic flowers. “We did not intervene as the trial did not involve any physical assault or violation of law. The three were flower traders and had been harvesting the lotuses without permission from the stakeholders,” a local police officer said.
Washington: Donald Trump’s personal assistant Madeleine Westerhout resigned on Thursday after she shared information about the president’s family with journalists, US media reported. Westerhout’s unexpected departure came after Trump learned that she had talked about his family and White House matters with reporters at an off-the-record session during the president’s recent working vacation in New Jersey, The New York Times reported citing unnamed sources. Also Read – Saudi Crown Prince ‘snubbed’ Pak PM, recalled jet from USLater, other outlets — including CNN and Politico — also reported her departure citing unnamed sources. CNN said Westerhout had failed to make clear during the interaction with journalists that her comments were off the record, and one reporter disclosed the conversation to the White House. Westerhout’s office was in front of the Oval Office and she had been described as Trump’s “gatekeeper” in US media. She had been his personal assistant from the beginning of his presidency. Also Read – Record number of 35 candidates in fray for SL Presidential pollsThe Trump administration has been particularly sensitive about staff leaking information to the media, with the president railing against both officials and journalists over reports about the state of affairs in the White House. The New York Times said Westerhout was now a “separated employee” and would not be allowed into the White House. A former administration official described Trump and Westerhout’s relationship as “close”, CNN said, but added that talking about his family was “a red line”. Westerhout was not a high-profile staffer, but her exit adds to a long list of administration officials who have quit since Donald Trump was elected president in 2016.