administrative area of the Principality of Monaco
Q&A: Most common client questions lately: Election Lessons Learned: “Vote with your ballot not yourlife savings.” ~Dimensional founder David Booth https://my.dimensional.com/elect-to-leave-your-portfolio-alone Will the stock market do worse now that xxx party has won and the election is over? What do the numbers show? Does the stock market do better or worse when “X” party is in office, power? Lessons learned – do not anticipate or try to outguess the markets. Maintain discipline. Lots of advisors said: After the mid-terms, the markets will “pop.” After Biden was elected lots of folks said markets will tank. Some things are unknowable...in the short-term. Luckily, we do not have to know. “Did anyone predict that Joe Biden would be elected president and that the US stock market would have its strongest election-week results since 1932?” What the heck is FTX and how did Sam Bankman-Friedlose $16 billion in one day? https://www.visualcapitalist.com/ftx-leaked-balance-sheet-visualized/ Founder and CEO Sam Bankman-Fried –FTX. What crypto companies went bankrupt? FTX's move marks the third crypto company to seek bankruptcy protection this year, following Voyager Digital and Celsius Network. The filing also clouds the fate of BlockFi, a crypto lender that FTX helped bail out with $400 million earlier this year. ~CBS News Boring is beautiful! TRUMPLOSE tokens –on the FTX balance sheet. Created by FTX to enable a betting market on whether Donald Trump would win or lose the 2020 presidential election. https://awealthofcommonsense.com/2022/11/boring-is-beautiful-in-investing/ “Those old stodgy blue-chip stocks in the Dow that pay dividends and have stable cash flows are crushing the innovation-led stocks that have more potential than profits in 2022. This is in stark contrast to the FOMO days of 2020 and 2021 when it felt like the only place to put your money was the most intoxicating of investments. French philosopher Blaise Pascal once wrote, “All of humanity's problems stem from man's inability to sit quietly in a room alone.” The investor play on words here would be: “All portfolio problems stem from investor's inability to stick with a boring old asset allocation.” Successful investing should be boring. It should be long-term in nature. It requires patience and discipline and the ability to ignore the madness of the crowds. But you can't brag about boring to your friends and co-workers. No one writes glowing profiles about normal people who diligently save and invest their hard-earned money, keep fees to a minimum and stay the course. That's not sexy. Sexy is SPACs, meme stocks, IPOs and life-changing amounts of money in a short period of time. Why wait decades to build wealth when you witnessed someone else do it overnight? "Flight #45 –Retirement Income: The Narrative Why is investing during retirement very different from investing in the accumulation phase of your life? Example: A) You are an accumulator, and you invest $12,000 January 1, 2020. You fall asleep and wake up on December 31, 2020. B) You are in retirement taking monthly income. You have $12,000 on January 1 and you are taking monthly income of $1,000 per month. Accumulators are like chickens and eggs...you're involved in producing eggs. Retirees are like pigs, and they are producing bacon. You are committed in retirement! How to avoid running out of money in retirement: Know your budget – Spending plan. Spend Conservatively. Spending flexibility. Social Security timing. Keep investing! (In equities) Reduce volatility. Buffer Assets – Avoid selling at losses. Taxes: Minimize RMDs Roth Conversions when income declines –65-70. Life expectancy – Longevity. E.g., client age 85. Sequence of return risk https://www.schwab.com/learn/story/timing-matters-understanding-sequence-returns-risk Avoid withdrawing assets in a down market. Will I have to change my retirement goals or retirement income due to the down market? Part 2 – How to mitigate the above risks...especially #6. Have a plan – Pick one or a combination of... Annuities? Annuities in general –Sales commissions! Fees... SPIA –Best, but no access to principle. Contingent Deferred Annuity –Constance from RetireOne Risk wrap: Same investments, income guarantee. Turn on –Turn off. Retirement Bucket approach? 4% Rule Target Date funds Dynamic spending, ongoing planning. Monte Carlo...MGP What's wrong with online calculators? One said I'll have $12,500 and the other said $19,500. Why does seeking advice pay off? Annual withdrawal rates can change What about underspending in retirement? Don't get to age 90 with millions left over...unless that's your goal. Spend more in the early part of retirement...the retirement smile. Mitigating the risks What if...! Higher Inflation Part-time job Reverse mortgage Long Term Care Risks From Retirement Researcher –Wade Pfau, Professor of Retirement Income at the American College.
Inspired by Rory's Christmas Show for the City of Lake Charles, and our drive home through Newport, TX, We got inspired to dive into the cities that become known for their Christmas festivities. Wherever you live or ROAM, dive into what your area cities have to offer for the holidays. Events, Markets and Decor all contribute to the magic of the season.For lights, decor and Christmas Markets, London; Budapest; Opatija and Zagreb in Croatia; Vilnius, Lithuania; Salerno, Italy; Vienna, Austria; Gdansk, Poland; Durango, CO; Newport Beach, CA; Ljubljana, Slovenia; Prague Czech Republic; Funchal -Madeira Islands, Portugal; Edinburgh, Scotland; Malaga and Madrid Spain, Opryland Hotel in Nashville!San Antonio, Texasand especially......7. Tallinn, Estonia6. Williamsburg, Virginia5. France : Montbeliard, Reims & Nice France, Monte-Carlo, Monaco, and Esp.Colmar, France.4. Nuremburg, Germany,3. Santa Claus, Indiana2. Lapland, Finland,1. Bethlehem, West BankVPN:The issue with connecting to any random internet network is that open connections are often vulnerable to cyber-attacks. For one, business and casual travelers alike have no choice but to use open and free networks when the occasion deems it necessary. Putting their devices on shared connection points means a higher risk of discovery by unsavory internet lurkers, with the threat of getting their data exploited or stolen. For those who like to work outside the confines of home or the office, VPN acts as a safeguard against open or semi-open networks like the free Wi-Fi provided by cafes, hotels, libraries and other public spaces.Some countries such as China and Indonesia have blocked popular online streaming sites, and content sites including Netflix and Hulu are region locked. If you would like to access geographically restricted content, VPN is the known key to the digital door.Browse fast & secure from over 90 global locationsStop hackers & other online threats from stealing your dataChange your IP address so you can stay safe onlineUse the internet with your favorite services & platforms Bypass geographic restrictions on websites for streaming audio and video.Save money and find better deals (more on this on our next episode).Binge stream media on Netflix and Hulu.Safeguard yourself from snooping on unsafe Wi-Fi networks.Protect yourself from being spied on.Here's a handful of highly rated companies to get you started shopping so you can see which VPN service is the best fit for you:ProtonVPNNordVPNMozilla Firefox $3/moExpress VPNCyberghost VPNPrivate Internet Access:
Are you on track for retirement? Where are you at, what's most important, and where do you want to go? Are you saving enough income at this point in time to become financially independent? In this episode of the Finance for Physicians Podcast, Daniel Wrenne talks about how to know if you are saving enough money for retirement. Check your financial vitals against your financial plan. Run the numbers! Topics Discussed: • Retirement Rules: Follow percentages of income or gross income before taxes? • False Assumptions: Everyone has same tax brackets, goals, values, priorities • Starting Line: Create, consult financial plan for values, goals, resources, priorities • Ways to calculate and run the numbers: ◦ Rules of thumb ◦ Linear return projections ◦ Monte Carlo analysis • When? Run the numbers today and adjust over time to accommodate changes • Improve Efficiency: Maximize tax shelters, backdoor Roth IRAs, financial plan Links: www.WrenneFinancial.com
BC & Ski chop it up with Chief Deputy Matthew Thomas aka Deputy_Onetime. Author of the newly released book, Interceptors: The Untold Fight Against the Mexican Cartels. Raised in section 8 housing, blasting Too Short from his Monte Carlo, Thomas talks about growing up in a rough neighborhood, patrolling the Arizona desert for cartels, and working undercover.
Today's episode features Kyle Nolan, creator of Projection Lab. Kyle already had the skills to develop web-based applications when he discovered the world of financial independence. What he didn't have and couldn't find was a financial planning tool that felt modern, flexible, and engaging. So he just decided to build his own! Projection Lab allows you to create beautiful and nuanced financial plans that truly represent you, your loved ones, and the paths you choose. You get to run Monte Carlo simulations, backtest on historical data, and figure out how to live your best life and reduce anxiety around your finances. I can't over-emphasize the word robust here. Back door Roths, multiple drawdown strategies, SEPP distributions, loan forgiveness, cash flow priorities...the list goes on and on and on. Kyle has built this beautiful web app all by himself and kept data protection at the forefront. And you can utilize this tool for free! The premium mode adds persistent data, tax estimation, advanced tax options, Sankey cash flow, visualizations, and Developer support for $8/month. If you liked this episode as much as we did, please share and subscribe! Links From the Episode Projection Lab Kyle's Twitter Kyle's LinkedIn YouTube Interview https://youtu.be/OUaFOqMGOKs Join the Community We'd love to hear your comments and questions about this week's episode. Here are some of the best ways to stay in touch and get involved in The FI Show community! Grab the Ultimate FI Spreadsheet Join our Facebook Group Leave us a voicemail Send an email to contact [at] TheFiShow [dot] com If you like what you hear, please subscribe and leave a rating/review! >> You can do that by clicking here
It's human nature to hope for the best and avoid contemplating the worst. But in reality, no one is immune to the trials and tribulations of life. And yet, people don't plan for bad things to happen, and those who provide advice don't like to talk about them. But what if there's a way we could identify life events that might negatively impact our finances? In this episode, Sanjeev and Ali talk with Robert Kirk, Founder and CEO at InterGen Data. Robert is a financial services industry executive with over 30 years of experience. Throughout his career, Robert has developed business-aligned solutions built around the fast-paced evolution of technology and innovation. At InterGen Data, Robert is responsible for establishing, growing, and providing proprietary AI-machine-based learning that helps companies identify when their clients are likely to have important life events occur, what they could be, and how much of a financial impact each could represent. Knowing that a life event could have a tremendous financial impact on a person's life, Robert talks with Sanjeev and Ali about how AI-based machine learning can help banks, financial service companies, and insurance companies predict and identify when their clients are likely to have an important life event and how advisors can help clients prepare for negative events. Key Takeaways [01:15] - What InterGen Data is and how it helps clients. [02:45] - The role of AI in giving users empathy-based data insights. [07:56] - The value AI provides to companies. [11:54] - InterGen's data management and security processes. [15:31] - How advisors can convince clients to plan for negative events. [22:36] - How the pandemic has changed how InterGen manages data. [27:05] - The benefits of working with actuaries. [30:26] - What the Digital Life Series is all about. [34:36] - What's next for InterGen Data. Quotes [05:18] - "Machine learning doesn't give empathy, but it provides the data to build that context around a person where that person can interpret that and then build that empathy." ~ Robert Kirk [16:10] - "If you look at all the financial plans and all the risk systems and tools, they're all going to say to put in X dollars. It's either a dollar-cost average or a goals-based system where you look at a goal over many years. And then they'll run the Monte Carlo scenario. But if you've ever noticed, they're always perfect. How is something bad happening built into the plan?" ~ Robert Kirk [39:25] - "From a marketing perspective, why not have a completely digitized version where people only see what's relevant to them and their next stage of life? More importantly, the cross-sell-upsell opportunities or the understanding of the products." ~ Robert Kirk Links Robert Kirk on LinkedIn Robert Kirk on Twitter InterGen Data Predictiv Society of Actuaries Digital Life Series | InterGen Data, Inc. ForwardLane Connect with our hosts Ali McCarthy Sanjeev Kumar Skience Subscribe and stay in touch Apple Podcasts Spotify Google Podcasts
Verregneter Dschungel, der Duft nass-warmen Bodens, ein Jaguar huscht vorbei - so hört sich «Monte Carlo» der neuen Supergroup Abraxas an. Carolina Faruolo (ehemals bei Los Bitchos) und Night Beats Frontmann Danny Lee Blackwell spannen erstmals zusammen und heizen die Cumbia Nostalgie an.
Verregneter Dschungel, der Duft nass-warmen Bodens, ein Jaguar huscht vorbei – so hört sich «Monte Carlo» der neuen Supergroup Abraxas an. Carolina Faruolo (ehemals bei Los Bitchos) und Night Beats-Frontmann Danny Lee Blackwell spannen erstmals zusammen und heizen die Cumbia-Nostalgie an.
In 1841, it seemed inevitable that the small, impoverished principality of Monaco would be absorbed by one of its larger neighbors. But the new Princess had an idea, a risky and possibly dangerous idea to save her country: a casino. Support Noble Blood: — Bonus episodes, stickers, and scripts on Patreon — Merch! — Order Dana's book, 'Anatomy: A Love Story' and pre-order its sequel 'Immortality: A Love Story'See omnystudio.com/listener for privacy information.
Welcome to our roundup and review of Q3 for 2022. This episode we take dive into the recession the world is facing, break down the numbers for the last quarter, go into detail about the history of Monte Carlo theory, and as always, answer some listener questions. To find out more information about Willow Oak or the Ubique fund, please visit our website, www.willowoakadvisory.com. If you would like to get in touch, please send an email to email@example.com, we'd love to hear from you. DISCLAIMER The opinions expressed in this podcast are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security. It is only intended to provide education about the financial industry. To determine which investments may be appropriate for you, consult your financial advisor prior to investing. Any past performance discussed during this program is no guarantee of future results. As always please remember investing involves risk and possible loss of principal capital; please seek advice from an investment professional.
Mona Akmal, CEO of sales intelligence platform Falkon, is the outspoken co-founder behind an emerging leader in a hot space. Mona migrated to the United States at age 20 with a CS degree and little else. She had an impressive 12-year run as a product leader at Microsoft where she helped scale OneDrive and Office. She subsequently led product and technology organizations at places like Code.org and Amperity. Two decades later, Mona's the CEO of Falkon AI, an intelligence platform for go to market teams. Falkon recently raised $16M from a group of A-list investors that includes Greylock and Madera among others.Listen and learn...Why Mona's philosophy revolves around two words: "efficiency" and "excellence"What makes a standout sales rep great.How do find signal in noisy sales and marketing dataHow many touches are required from stage one to closing a B2B dealHow to fix the CRM data hygiene problemWhy econometrics approaches perform better than machine learning to solve the "small data problem"Why "everyone needs to be coached and nobody needs to be managed"Mona's (legendary) mental health advice to entrepreneursReferences in this episode...Barr Moses from Monte Carlo on AI and the Future of WorkDerek Steer from Mode on AI and the Future of WorkPeter Fishman from Mozart Data on AI and the Future of WorkStephen Messer from Collective[i] on AI and the Future of Work Kamal Ahluwalia on AI and the Future of WorkLeading scientists fear AI could lead to nuclear war by the end of the century
Denise Duval, whose 101st birthday we posthumously commemorate on October 23, will forever be associated with the music of Francis Poulenc, and specifically his operas, in which the lead soprano roles were either created by her, or were written with her in mind. This episode not only presents Duval in excerpts, in live concert and stage performances, of all three roles: Thérèse in Les Mamelles de Tirésias, Blanche de la Force in Les Dialogues des Carmélites, and the unnamed heroine in his searing 1959 monodrama La voix humaine, alongside her performance in the world premiere of her final creation for Poulenc: the brief 1961 monologue La Dame de Monte-Carlo. But Duval was a versatile singer whose many and varied roles may surprise you. I present her also in both French and Viennese operettas by Lehár, Kálmán, Planquette, Messager, and Hervé, as well as operatic roles by Ravel, Debussy, and Saint-Saëns, concert works by Florent Schmitt and Louis Durey, and, from a joint recital with Poulenc, a breathtaking excerpt from Debussy's Proses lyriques. Duval's unusual voice and artistic profile defy classification, but this episode seeks to present as full a portrait as possible of this great singer and actor. Heard alongside Duval are tenors Jean Giraudeau, Alain Vanzo, Michel Hamel, and Jean Pomarez; baritones Jacques Jansen, Robert Massard, and Hans Wilbrink; and in an amusing turn, Francis Poulenc himself.
Are you on track for retirement? Where are you at, what's most important, and where do you want to go? Are you saving enough income at this point in time to become financially independent? In this episode of the Finance for Physicians Podcast, Daniel Wrenne talks about how to know if you are saving enough money for retirement. Check your financial vitals against your financial plan. Run the numbers! Topics Discussed: • Retirement Rules: Follow percentages of income or gross income before taxes? • False Assumptions: Everyone has same tax brackets, goals, values, priorities • Starting Line: Create, consult financial plan for values, goals, resources, priorities • Ways to calculate and run the numbers: ◦ Rules of thumb ◦ Linear return projections ◦ Monte Carlo analysis • When? Run the numbers today and adjust over time to accommodate changes • Improve Efficiency: Maximize tax shelters, backdoor Roth IRAs, financial plan LINKS: www.WrenneFinancial.com Just as the right advice helps you thrive financially. The right support team allows you to excel professionally. Weatherby Healthcare's locums experts will match you with the best jobs, prepare you for success and provide 24/7 support. https://weatherbyhealthcare.com/
It is a pleasure to welcome award-winning singer, songwriter, and producer Carleton Stone to The Jake's Take with Jacob Elyachar Podcast. The Nova Scotia, Canada native, recently dropped his latest solo and self-produced album, Papercut. Through the sax-blasted Americana with power-pop and 1980s synthesizers, Carleton blurs musical genres to explore several tumultuous years and asks two difficult questions: “What the hell have I done?” and “What if I had gone down some other path?”Papercut is one of Carleton's strongest and most forthcoming albums, thanks to innate songwriting skills. Listeners will follow him as he plumbs the depths of an emotional roller coaster ride. The album also features several talented musicians, including bassist Liam Jaeger, percussionist Howie Beck, cellist Kevin Fox, trumpeter Tom Moffett, saxophonist Julian Nalli, and vocalists Erin Costelo and Mel Stone.Before releasing Papercut, Carleton released his 2011 self-titled debut and 2014's Draws Blood. He is also half of the pop duo Port Cities and an in-demand producer and songwriter. Carleton worked on Jake's Take friend Willie Stratton's critically acclaimed Drugstore Dreamin.' He also wrote songs with and for Classified, Donovan Woods, Mo Kenney, Neon Dreams, and Ria Mae.In this edition of The Jake's Take with Jacob Elyachar Podcast, Carleton Stone spoke about facing the obstacles breaking into the North American music market and the stories behind several of his songs, including “Blood is Thicker Than Water,” “Papercut,” “Monte Carlo,” and “House in the Hills.” Carleton and I also shared our mutual admiration for Andrew Watt, Bruce Springsteen, and Survivor.
Dame Alicia Markova was born Lilian Alice Marks in December 1910, in a two-bedroom flat in Finsbury Park, London. She began ballet classes because she was flat footed and knock kneed. Her natural talent, when she was ten, was spotted by Diaghilev, the Russian artistic impresario who founded the Ballets Russes and brought the contemporary arts of Russia to Europe. Dame Alicia joined Diaghilev's company, which was based in Monte Carlo, in 1925, a month after her 14th birthday. Diaghilev changed her name to Alicia Markova and cast her in the title role of Nightingale in Le Rossignol, a ballet scored by Stravinsky, choreographed by Balanchine and with costumes designed by Matisse. It premiered in Paris in June 1925. After Diaghilev's death in 1929 she returned to England and became a leading figure of the emerging English ballet scene, dancing with the Ballet Rambert and Vic Wells Ballet, as well as at Sadlers Wells. Dame Alicia danced the leading roles in Swan Lake, The Nutcracker and Giselle, which became her trademark, illustrating her unique style of fragility and strength. In 1950, together with her dancing partner Anton Dolin, Dame Alicia founded The London Festival Ballet which eventually became the English National Ballet. She was still dancing Giselle at the age of 48 and had her last dance on stage in the early 1960s. Subsequently she has worked as director, patron and teacher and was awarded the CBE for services to dance in 1958. Her memory for dance steps has proved invaluable for dance historians, pupils and teachers alike. [Taken from the original programme material for this archive edition of Desert Island Discs] Favourite track: Softly Awakes my Heart from Samson and Delilah by Camille Saint-Saëns Book: Speaking of Diaghilev by John Drummond Luxury: The perfume Knowing by Estee Lauder
Dassler shoes was started by Adolf Dassler in 1924 in Germany, after he came home from World War I. His brother Rudolph joined him. They made athletic shoes and developed spikes to go on the bottom of the shoes. By 1936, they convinced Jesse Owens to wear their shoes on the way to his gold medals. Some of the American troops who liked the shoes during World War II helped spread the word. The brothers had a falling out soon after the war was over. Adolph founded Adidas while Rudolph created a rival shoe company called Puma. This was just in time for the advertising industry to convince people that if they bought athletic shoes that they would instantly be, er, athletic. The two companies became a part of an ad-driven identity that persists to this day. One most who buy the products advertised hardly understand themselves. A national identity involves concentric circles of understanding. The larger a nation, the more concentric circles and the harder it is to nail down exactly who has what identity. Part of this is that people spend less time thinking about who they are and more time being told who they should want to be like. Woven into the message of who a person should be is a bunch of products that a person has to buy to become the ideal. That's called advertising. James White founded the first modern advertising agency called ‘R. F. White & Son' in Warwick Square, London in 1800. The industry evolved over the next hundred or so years as more plentiful supplies led to competition and so more of a need to advertise goods. Increasingly popular newspapers from better printing presses turned out a great place to advertise. The growth of industrialism meant there were plenty of goods and so competition between those who manufactured or trafficked those goods. The more efficient the machines of industry became, the more the advertising industry helped sell what the world might not yet know it needed. Many of those agencies settled into Madison Avenue in New York as balances of global power shifted and so by the end of World War II, Madison Avenue became a synonym for advertising. Many now-iconic brands were born in this era. Manufacturers and distributors weren't the only ones to use advertising. People put out ads to find loves in personals and by the 1950s advertising even began to find its way into politics. Iconic politicians could be created. Dwight D Eisenhower served as the United States president from 1953 to 1961. He oversaw the liberation of Northern Africa in World War II, before he took command to plan the invasion of Normandy on D Day. He was almost universally held as a war hero in the United States. He had not held public office but the ad men of Madison Avenue were able to craft messages that put him into the White House. Messages like “I like Ike.” These were the early days of television and the early days of computers. A UNIVAC was able to predict that Eisenhower would defeat Adlai Stevenson in a landslide election in 1952. The country was not “Madly for Adlai” as his slogan went. ENIAC had first been used in 1945. MIT Whirlwind was created in 1951, and the age of interactive computing was upon us. Not only could a computer predict who might win an election but new options in data processing allowed for more granular ways to analyze data. A young Senator named John F. Kennedy was heralded as a “new candidate for the 1960s.” Just a few years later Stephenson had lambasted Ike for using advertising, but this new generation was willing to let computers help build a platform - just as the advertisers were starting to use computers to help them figure out the best way to market a product. It turns out that words mattered. At the beginning of that 1960 election, many observed they couldn't tell much difference between the two candidates: Richard Nixon and John Kennedy. Kennedy's democrats were still largely factored between those who believed in philosophies dating back to the New Deal and segregationists. Ike presided over the early days of the post-World War II new world order. This new generation, like new generations before and since, was different. They seemed to embrace the new digital era. Someone like JFK wasn't punching cards and feeding them into a computer, writing algorithms, or out surveying people to collect that data. That was done by a company that was founded in 1959 called Simulmatics. Jill Lepore called them the What If men in her book called If/Then - a great read that goes further into the politics of the day. It's a fascinating read. The founder of the company was a Madison Avenue ad man named Ed Greenfield. He surrounded himself with a cast of characters that included people from John Hopkins University, MIT, Yale, and IBM. Ithiel de Sola Pool had studied Nazi and Soviet propaganda during World War II. He picked up on work from Hungarian Frigyes Karinthy and with students ran Monte Carlo simulations on people's acquaintances to formulate what would later become The Small World Problem or the Six Degrees of Separation, a later inspiration for the social network of the same name and even later, for Facebook. The social sciences had become digital. Political science could then be used to get at the very issues that could separate Kennedy from Nixon. The People Machine as one called it was a computer simulation, thus the name of the company. It would analyze voting behaviors. The previous Democratic candidate Stevenson had long-winded, complex speeches. They analyzed the electorate and found that “I Like Ike” resonated with more people. It had, after all, been developed by the same ad man who came up with “Melts in your mouth, not in your hands” for M&Ms. They called the project Project Microscope. They recruited some of the best liberal minds in political science and computer science. They split the electorate into 480 groups. A big focus was how to win the African-American vote. Turns out Gallup polls didn't study that vote because Southern newspapers had blocked doing so. Civil rights, and race relations in general wasn't unlike a few other issues. There was anti-Catholic, anti-Jew, and anti-a lot. The Republicans were the party of Lincoln and had gotten a lot of votes over the last hundred years for that. But factions within the party had shifted. Loyalties were shifting. Kennedy was a Catholic but many had cautioned he should down-play that issue. The computer predicted civil rights and anti-Catholic bigotry would help him, which became Kennedy's platform. He stood for what was right but were they his positions or just what the nerds thought? He gained votes at the last minute. Turns out the other disenfranchised groups saw the bigotry against one group as akin to bigotry against their own; just like the computers thought they would. Kennedy became an anti-segregationist, as that would help win the Black vote in some large population centers. It was the most aggressive, or liberal, civil-rights plank the Democrats had ever taken up. Civil rights are human rights. Catholic rights are as well. Kennedy offered the role of Vice President to Lyndon B Johnson, the Senate Majority Leader and was nominated to the Democratic candidate. Project Microscope from Simulmatics was hired in part to shore up Jewish and African-American votes. They said Kennedy should turn the fact that he was a Catholic into a strength. Use the fact he was Catholic to give up a few votes here and there in the South but pick up other votes. He also took the Simulmatics information as it came out of the IBM 704 mainframe to shore up his stance on other issues. That confidence helped him out-perform Nixon in televised debates. They used teletypes and even had the kids rooms converted into temporary data rooms. CBS predicted Nixon would win. Less than an hour later they predicted Kennedy would win. Kennedy won the popular vote by .1 percent of the country even after two recounts. The Black vote hat turned out big for Kennedy. News leaked about the work Simulmatics had done for Kennedy. Some knew that IBM had helped Hitler track Jews as has been written about in the book IBM and the Holocaust by Edwin Black. Others still had issues with advertising in campaigns and couldn't fathom computers. Despite Stalin's disgust for computers some compared the use of computers to Stalinistic propaganda. Yet it worked - even if in retrospect the findings were all things we could all take for granted. They weren't yet. The Kennedy campaign at first denied the “use of an electronic brain and yet their reports live on in the Kennedy Library. A movement against the use of the computer seemed to die after Kennedy was assassinated. Books of fiction persisted, like The 480 from Eugene Burdick, which got its title from the number of groups Simulmatics used. The company went on to experiment with every potential market their computer simulation could be used in. The most obvious was the advertising industry. But many of those companies went on to buy their own computers. They already had what many now know is the most important aspect of any data analytics project: the data. Sometimes they had decades of buying data - and could start over on more modern computers. They worked with the Times to analyze election results in 1962, to try and catch newspapers up with television. The project was a failure and newspapers leaned into more commentary and longer-term analysis to remain a relevant supplier of news in a world of real-time television. They applied their brand of statistics to help simulate the economy of Venezuela in a project called Project Camelot, which LBJ later shot down. Their most profitable venture became working with the defense department to do research in Vietnam. They collected data, analyzed data, punched data into cards, and fed it into computers. Pool was unabashedly pro-US and it's arguable that they saw what they wanted to see. So did the war planners in the pentagon, who followed Robert McNamara. McNamara had been one of the Quiz Kids who turned around the Ford Motor Company with a new brand of data-driven management to analyze trends in the car industry, shore up supply chains, and out-innovate the competition. He became the first president of the company who wasn't a Ford. His family had moved to the US from Ireland to flee the Great Irish Famine. Not many generations later he got an MBA from Harvard before he became a captain in the United States Army Air Forces during World War II primarily as an analyst. Henry Ford the second hired his whole group to help with the company. As many in politics and the military learn, companies and nations are very different. They did well at first, reducing the emphasis on big nuclear first strike capabilities and developing other military capabilities. One of those was how to deal with guerrilla warfare and counterinsurgencies. That became critical in Vietnam, a war between the communist North Vietnamese and the South Vietnamese. The North was backed by North Korea, China, and the Soviet Union, the South backed by the United States, South Korea, Australia. Others got involved but those were the main parties. We can think of McNamara's use of computers to provide just in time provisioning of armed forces and move spending to where it could be most impactful, which slashed over $10 billion in military spending. As the Vietnam war intensified, statistically the number of troops killed by Americans vs American casualties made it look computationally like the was was being won. In hindsight we know it was not. Under McNamara, ARPA hired Simulmatics to study the situation on the ground. They would merge computers, information warfare, psychological warfare, and social sciences. The Vietnamese that they interviewed didn't always tell them the truth. After all, maybe they were CIA agents. Many of the studies lacked true scholars as the war was unpopular back home. People who collected data weren't always skilled at the job. They spoke primarily with those they didn't get shot at as much while going to see. In general, the algorithms might have worked or might not have worked - but they had bad data. Yet Simulmatics sent reports that the operations were going well to McNamara. Many in the military would remember this as real capabilities at cyber warfare and information warfare were developed in the following decades. Back home, Simulmatics also became increasingly tied up in things Kennedy might have arguably fought against. There were riots, civil rights protests, and Simulatics took contracts to simulate racial riots. Some felt they could riot or go die in in the jungles of Vietnam. The era of predictive policing had begun as the hope of the early 1960s turned into the apathy of the late 1960s. Martin Luther King Jr spoke out again riot prediction, yet Simulmatics pushed on. Whether their insights were effective in many of the situations, just like in Vietnam - was dubious. They helped usher in the era of Surveillance capitalism, in a way. But the arrival of computers in ad agencies meant that if they hadn't of, someone else would have. People didn't take kindly to being poked, prodded, and analyzed intellectually. Automation took jobs, which Kennedy had addressed in rhetoric if not in action. The war was deeply unpopular as American soldiers came home from a far off land in caskets. The link between Simulmatics and academia was known. Students protested against them and claimed they were war criminals. The psychological warfare abroad, being on the wrong side of history at home with the race riots, and the disintegrating military-industrial-university complex didn't help. There were technical issues. The technology had changed away from languages like FORTRAN. Further, the number of data points required and how they were processed required what we now call “Big Data” and “machine learning.” Those technologies showed promise early but more mathematics needed to be developed to fully weaponize the surveillance everything. More code and libraries needed to be developed to crunch the large amounts of statistics. More work needed to be done to get better data and process it. The computerization of the social sciences was just beginning and while people like Pool predicted the societal impacts we could expect, people at ARPA doubted the results and the company they created could not be saved as all these factors converged to put them into bankruptcy in 1970. Their ideas and research lived on. Pool and others published some of their findings. Books opened the minds to the good and bad of what technology could do. The Southern politicians, or Dixiecrats, fell apart. Nixon embraced a new brand of conservatism as he lost the race to be the Governor of California to Pat Brown in 1962. There were charges of voter fraud from the 1960 election. The Mansfeld Amendment restricted military funding of basic research in 1969 and went into effect in 1970. Ike had warned of the growing links between universities as the creators of weapons of war like what Simulmatics signified and the amendment helped pull back funding for such exploits. As Lepore points out in her book, mid-century liberalism was dead. Nixon tapped into the silent majority who countered the counterculture of the 1960s. Crime rose and the conservatives became the party of law and order. He opened up relations with China, spun down the Vietnam war, negotiated with the Soviet leader Brezhnev to warm relations, and rolled back Johnson's attempts at what had been called The Great Society to get inflation back in check. Under him the incarceration rate in the United States exploded. His presidency ended with Watergate and under Ford, Carter, Reagan, and Bush, the personal computer became prolific and the internet, once an ARPA project began to take shape. They all used computers to find and weigh issues, thaw the Cold War, and build a new digitally-driven world order. The Clinton years saw an acceleration of the Internet and by the early 2000s companies like PayPal were on the rise. One of their founders was Peter Thiel. Peter Thiel founded Palantir in 2003 then invested in companies like Facebook with his PayPal money. Palantir received backing from In-Q-Tel “World-class, cutting-edge technologies for National Security”. In-Q-Tel was founded in 1999 as the global technological evolution began to explode. While the governments of the world had helped build the internet, it wasn't long before they realized it gave an asymmetrical advantage to newcomers. The more widely available the internet, the more far reaching attacks could go, the more subversive economic warfare could be. Governmental agencies like the United States Central Intelligence Agency (CIA) needed more data and the long promised artificial intelligence technologies to comb through that data. Agencies then got together and launched their own venture capital fund, similar to those in the private sector - one called In-Q-Tel. Palantir has worked to develop software for the US Immigration and Customers Enforcement, or ICE, to investigate criminal activities and allegedly used data obtained from Cambridge Analytica along with Facebook data. The initial aim of the company was to take technology developed for PayPal's fraud detection and apply it to other areas like terrorism, with help from intelligence agencies. They help fight fraud for nations and have worked with the CIA, NSA, FBI, CDC, and various branches of the United States military on various software projects. Their Gotham project is the culmination of decades of predictive policing work. There are dozens of other companies like Palantir. Just as Pool's work on Six Degrees of Separation, social networks made the amount of data that could be harvested all the greater. Companies use that data to sell products. Nations use that data for propaganda. Those who get elected to run nations use that data to find out what they need to say to be allowed to do so. The data is more accurate with every passing year. Few of the ideas are all that new, just better executed. The original sin mostly forgotten, we still have to struggle with the impact and ethical ramifications. Politics has always had a bit of a ruse in a rise to power. Now it's less about personal observation and more about the observations and analyses that can be gleaned from large troves of data. The issues brought up in books like The 480 are as poignant today as they were in the 1950s.
Atípica selección musical cocinada con un poco de cumbia, sabores brasileños y ritmos latinos empapando canciones de pop psicodélico. Playlist; ABRAXAS “Mañana” (adelanto disco “Monte Carlo”, 2022) TWANGUERO “Cumbia del oeste” SONIDO GALLO NEGRO “Cumbia espantamuertos” (Cumbia salvaje, 2011) ALLAH-LAS “Prazer em te conhecer” (Lahs, 2019) MYSTIC BRAVES “Ponte bajo el Sol” (2019) LITTLE JOY “Next time around” (ST, 2008) BOOGARINS “Doce” (As Plantas Que Curam, 2013) BONIFRATE “Museu de arte moderna” (Museu de arte moderna, 2013) MAGIC and NAKED “Bring me the moon” (Human expression, 2017) BIFANNAH “Capri” (Dansas liquidas, 2019) MARCOCA “Strange Havana nights” (Silent Struggles, 2020) BOBBY OROZA “Your love is too cold” (This love, 2019) THE EVERYWHERES “Concede” (Dignity fever, 2016) SMOKEY and MIHO “Tempo de amor” Escuchar audio
Ahmed Elsamadisi built the data infrastructure at WeWork before realizing every company could benefit from his team's innovation. Traditional star schemas aren't the best way to manage data. Ahmed instead pioneered a new approach using a single-table column model better suited for real questions people ask. He launched Narrator in 2017 to make it easier to turn data questions into answers and has since raised $6.2M from Initialized Capital, Flybridge Capital Partners, and Y Combinator. Ahmed received his BS in Robotics from Cornell. Hear from a pioneer (and tech provocateur) how new data wrangling techniques are making it easier for mere mortals to get more value out of their data.Listen and learn…How a roboticist who got his start building self-driving cars and designing missile defense systems ended up redefining how data is storedWhy traditional approaches that require SQL to access data are brokenHow a single-column schema eliminates the complexity of joining systems and tablesWhy it's easier to tell better stories with data using temporal relationships extracted from customer journeysWhy Snowflake, Redshift, and BigQuery are really all the same… and data modeling is the place to innovate What it means to replace traditional tables with activities… and why they'll eliminate the need for specialized data analysts How to reduce data storage costs by 90% and time to generate data insights from weeks to minutes Why data management vendors are responsible for bad decisions made using your data What is data cleaning and how you should do it What is a racist algorithm Why querying data with natural language will never work Is the WeCrashed version of Adam Neumann's neuroticism accurate? Hear from someone who lived it... References in this episode:Google's LaMDA isn't sentientChandra Khatri from Got It AI on AI and the Future of Work Derek Steer from Mode on AI and the Future of Work Barr Moses from Monte Carlo on AI and the Future of Work Peter Fishman from Mozart Data on AI and the Future of Work Ahmed on Twitter
Regular listeners will know that usually I talk to one person at a time, but over the course of four days in Monte Carlo I managed to record over 20 short interviews with industry leaders. This means this podcast is an in-depth documentary on the state of global insurance, reinsurance and the insurance-related capital markets. It's a document detailing the state of mind of key actors that make and influence the market. The great thing about Monte Carlo is that a consensus can emerge, even from thousands of disparate voices. This year that definitely happened This is without doubt the toughest and most dynamic (re)insurance market since late 2005 – and I should know because I have been to every Monte Carlo gathering from then onwards. My aim is to try and capture the essence of what it is like to be in the room with the top decision-makers. You will experience a tough market consensus emerging and be able to hear the different harmonies and minor discords from within this great chorus of voices. Enjoy this very special podcast! LINKS: We thank our Special Episode Sponsor, Stephens Rickard: https://www.stephensrickard.com
This week we are talking all about the live-action Disney comedy Herbie Goes to Monte Carlo. First, we talk about what food we would be devastated if it ever left Disneyland. Then we discuss why this film feels like the other Herbie movies we have seen, and we didn't even realize that we miss counted how many there are. Join us once again as we watch Herbie gets kidnapped.
One of the more frequently discussed topics when it comes to retirement planning is the idea of the “number”, or what's the amount that you need to have saved and invested in order to finally transition into a life of financial independence? That's the topic that Vince discusses on this episode of CFO at Home with Dennis Schlegal, co-founder of the wealth management group, Emeritus Wealth. Key Takeaways As you approach retirement, it's not so much how much you have saved, it's the amount of monthly income you need. What rate of return do you need generate your desired income A different perspective/strategy is needed to generate income than to create your nestegg. Annuities Typically offered by insurance companies You give your money to the insurance company in exchange for an income stream; either immediately or at some point in the future Some annuities offer an immediate stream of income in exchange for a initial lump sum payment, others offer a death benefit With an annuity, the insurance company assumes sequence of return risk Safe withdrawal rate - the amount that you can pull from your retirement account savings safely (with exhausting the account). A 4% withdrawal rate is successful roughly 90% of the time based on Monte Carlo simulations Resources Vanguard Nest Egg Calculator Ways to contact Emeritus Wealth Emeritus Wealth - Facebook Dennis Schlegal Emeritus Wealth - LinkedIn Contact the Host - firstname.lastname@example.org
Bar Talk (our recommendations):Jessica is watching Men (2022, dir. Alex Garland); drinking Beak & Skiff 1911 Bourbon.Damien is reading The Library at Mount Char by Scott Hawkins; drinking a Monte Carlo (rye whiskey, Benedictine, bitters).Ryan is watching Impetigore (2019, dir. Joko Anwar); drinking a Cthulu Takes Manhattan. It's got blue cream soda in it. Don't ask.If you liked this week's story, check out The Pallbearer's Club by Paul Tremblay.Up next: The Sandman by E.T.A. HoffmanSpecial thank you to Dr Blake Brandes for our Whiskey and the Weird music! Like, rate, and follow! Check us out on Instagram, Twitter, Facebook, and at whiskeyandtheweird.com
Martyn Lee is joined by Tom Howard to analyse a fairy tale weekend for Hyundai at WRC's Acropolis Rally Greece. As other teams fell by the wayside, Hyundai picked up a remarkable 1-2-3 result for the first time in history, and a 1-1-1 result marking their third win in a row (Finland, Belgium and Greece). What makes this story more remarkable is from how far back Hyundai came in 2022, with a Rally1 challenger developed and built far too late. From the lows of Monte Carlo and Kenya, the team were forced to build reliability whilst watching rivals run away with an early lead. However, a controversial decision to impose team order to 'bring the cars home' on Sunday called off a duel between Neuville and Tänak, much to the annoyance of the Estonian former champ and his supporters.
Martyn Lee is joined by TOM HOWARD to analyse a fairy tale weekend for Hyundai, as other teams fell by the wayside, they picked up a 1-2-3 result for the first time in history. What makes this story more remarkable is from how far back Hyundai came in 2022, with a Rally1 challenger developed and built far too late. From the lows of Monte Carlo and Kenya, the team were forced to build reliability whilst watching rivals run away with an early lead. However, a controversial decision to impose team order to 'bring the cars home' on Sunday called off a duel between Neuville and Tänak, much to the annoyance of the Estonian former champ and his supporters.
“The bottom-line benefit of reinsurance is that it makes a more efficient market and a more affordable product.” — Simon HedleyIn this episode, your host, John Pelle, Director of Communications at Acrisure, is joined by Simon Hedley, Chief Executive Officer of Acrisure Re.John and Simon catch up ahead of Monte Carlo Rendez-Vous, the largest gathering for insurance and reinsurance leaders. Simon chats trends affecting the world of reinsurance, the importance of DE&I and giving back, and factors in Acrisure Re's exceptional growth over the past few years.Tune in for a rundown of reinsurance today as we look ahead to 2023.Key Takeaways:[0:58] Simon shares his excitement about being back in Monte Carlo with the Acrisure team.[1:49] What is going to be the dominant conversation at Rendez-Vous?[3:05] Simon talks about key trends that will be addressed looking ahead at 2023.[4:07] Simon explains the meaning of reinsurance.[5:26] What is Acrisure doing differently than other reinsurance brokers to be growing so quickly?[7:19] Simon highlights the incredible charitable initiatives that the Acrisure Re Division has embarked on.[8:51] What is the focus of the Acrisure Re for the rest of 2022?[9:50] Simon speaks to some of the things the team has been working on recently.[12:49] Simon shares his words with colleagues working in the reinsurance division.Further Reading:AcrisureRe.com Acrisure on LinkedInAcrisure Re on LinkedInNotable Quotes:“A big part of the reason why we've been able to double in size and double our revenue over the last four years since joining Acrisure, is that we have diversified our business.” — Simon Hedley“We collectively felt it was important for us as a business, important for us as people, to be involved in these DE&I and charitable initiatives.” – Simon Hedley“Limitless possibilities describes the heart of Acrisure Re.”— Simon Hedley
Also known as Monte Carlo or Bust!, the fourth entry in our WACKY RACES series places your two favorite hosts back into cinematic care of director Ken Annakin in this follow up to Those Magnificent Men in Their Flying Machines. As Annakin brings the racing action from the sky down to the ground, will the movie have scenes that affect the rest of the movie in any way? Will this comedy have actual humor in it this time? Will it again barely tolerate its own stated themes of Women's Liberation? Find out by listening to the episode! That's how it works! Next Episode: DEATH RACE 2000 (1975)
Abraxas is a psych/rock/tropicalia duo of Uruguayan-born/UK-based Carolina Faruolo (ex-Los Bitchos) and Danny Lee Blackwell (Night Beats). They're releasing their debut LP Monte Carlo on October 28 on Seattle-based label Suicide Squeeze. In this episode Joe catches up with Danny on the road in France with his band Night Beats and Carolina at her home in Manchester. Danny and Carolina share the process of making the Monte Carlo, and how ease and telepathy translated directly to the final recording. They also discuss how the diverse mixture of influences, the name Abraxas and record title Monte Carlo melded over long distances to make a humid, lush and dreamy listening experience. We hear how the video functioned as their first gig and we hear a couple brand new tunes. https://abraxasintl.bandcamp.com/album/monte-carlohttps://suicidesqueeze.net/2022/09/abraxas-release-new-single-video-manana/https://suicidesqueeze.net/https://lnk.to/AMC Tour Stories is sponsored by Izotope. Tour Story listeners get one month free of Music Production Suite Pro or 10% of all software by using code FRET10 at https://www.izotope.com/Tour Stories is sponsored by Self Care Non-Alcoholic Beer by Three Magnets. Go to https://drinkselfcare.com/ to get 15% off your first order using code TOURSTORIES
This week we delved into Heidi Rice's My Shocking Monte Carlo Confession, a category romance! Big fans of the MMPB here. Listen to us consider: What is the shocking confession? But first! We tried some new taglines. Let us know whose suggestion you prefer. [KATE! Maybe we could do a Twitter POLL? For ENGAGEMENT?] And please enjoy Hanna's show notes on the website that Kate made:Tell me why F1 spells TYRES with a y. We think this was not a secret baby romance so much as a plot moppet romance.[KATE PUT THE LINK TO THE LIST OF BOOKS HERE] [THAT'S WHAT YOU TOLD ME TO WRITE IN THE SHOW NOTES]How small is Monaco? Smaller than Central Park. Where is it in relation to Nice? About a half hour away.If a man talks shit: you owe him nothing. (We will not be linking to “I Did Something Bad” by Taylor Swift until there is a Taylor's Version–this is an Official Racy Books Pod Policy.)We do not have clarification on when a writer can use “F1” and when they need to make up a name like Super League. Please help us.Unfortunately, we were not able to work a Walt Whitman reference into this episode.The quote that rendered Kate speechless: “Say it, forget it; write it, regret it.” –Dorinda Medley, Real Housewives of New YorkWe are expecting to see a lot of rich people in this subgenre: F1 romance = billionaire romance. This was another book that made us want a heroine as the race car driver. Maybe we'll try this next season. [LINK KATE TO THE CATEGORY YOU FOUND]The v important Maisie Peters bridge living rent free in our minds.No playlist in this book. . . so we made one! Will next episode be a book of our hearts? Read Unfixable by Tessa Bailey and tune in to find out!Is Mattia Binotto our hero? (Or could it be the man who bought his son an F1 team and also probably paid for this article?) Mattia Binotto
Logan Bartlett is a Managing Director @ Redpoint, a firm with a portfolio including the likes of Stripe, Nubank, Twilio, Netflix, Snowflake and many more incredible names. As for Logan, at Redpoint he has led investments in the likes of Ramp, Monte Carlo, Cribl, Crossbeam and Acuity MD to name a few. Before joining Redpoint, Logan spent over 5 years with the team at Battery where he made investments in Pendo, Amplitude, Dataiku, Braze and Kustomer. In Today's Episode with Logan Bartlett We Discuss: 1.) Entry into Venture: How Logan made his way into the world of venture joining Battery Ventures? What are 1-2 of Logan's biggest takeaways from his time with Battery? What does Logan know now that he wishes he had known when he started in venture? 2.) The Venture Landscape Today: Is now really the best time to be investing? How does Logan compare today to prior vintages? How does this differ when comparing consumer to B2B? How does Logan analyze the state of the growth market? Is anyone really doing deals today? If so, what is the discount on price vs last year? How do the public markets impact the later stage financings which have disappeared in the last 3 months? How do the later stage financings impact the early stage? Does Logan agree that "venture has never been less collaborative as it is today"? 3.) The Role of the Venture Investor: Why does Logan believe that VCs have gotten lazy over the last 2 years? Does Logan believe we will see even more GPs at the top retire in the downturn? How does Logan analyse his role as a board member today? How has his style changed over time? What is the single best board Logan is on? Why that one? Who is the best board member Logan works with? What makes this board member so good? How does Logan assess the importance of personal brand in venture today? Why does Logan believe no company should hire PR firms from the early days? 4.) Investing Style and Lessons: What has been Logan's single biggest hit as an investor? How did seeing that impact his mindset? What has been Logan's biggest miss? How did not doing the investment change how he thinks about making new investments today? How does Logan assess his own relationship to price? How has it changed over time? As a growth investor today, how important is ownership? How does this change with stage? Items Mentioned in Today's Episode: Logan's Favourite Book: Team of Rivals: The Political Genius of Abraham Lincoln Logan's Most Recent Investment: AcuityMD
Anne Fletcher tells all about a reserved Yorkshire man, who broke the bank of Monte Carlo. Its like Ocean's 11, but with Sean Bean! Support us: https://www.patreon.com/historyhack Tips: https://ko-fi.com/historyhack Merch: https://www.historyhackpod.com/
Jordan Van Horn is a Revenue Leader @ Monte Carlo, the world's first data observability company. Prior to this role, Jordan spent an incredible 4 years in sales at Segment including as VP of Sales leading a sales team of 50+ Account Executives and leading the first international expansion for the company into Dublin. Before Segment, Jordan was at Dropbox for 4 years leading enterprise sales for Dropbox Business in California. In Today's Episode with Jordan Van Horn We Discuss: 1.) Entry into the World of Sales: How did Jordan make his way into the world of sales first with a vineyard? What are 1-2 of the biggest takeaways for Jordan from seeing the scaling sales teams at both Segment and Dropbox? How did seeing that impact his mindset? What does Jordan know now that he wishes he had known when he entered sales? 2.) The Sales Playbook: How does Jordan define "the sales playbook"? What is it not? What five core things should the sales playbook help you accomplish? Should the founder be responsible for the sales playbook? Can it be created by a Head of Sales? How does Jordan advise founders on three signals that now is the right time to bring in a sales hire? How does Jordan advise founders on whether the first sales hire should be a rep or a leader? 3.) The Secrets to Pricing and Discounting: Why does Jordan not care what price customers pay in the early days? If it is not about ARR, what should teams be optimizing for? When does price discipline become important in a company journey? What are the dangers of not having price discipline? What two tools do sales leaders have to use in order to create urgency in a deal closing process? How should sales leaders think about building multiple champions within a potential customer? At what price point is it worth it? 4.) The Hiring Process: How does Jordan structure the hiring process for all new sales hires? What are the must-ask questions that Jordan asks all new candidates? What does he want to see in those answers? Who else does he bring into the hiring process? At what stage do they get involved? What are they testing for? Does Jordan use case studies with candidates? What makes the best? What makes the worst? 5.) The Onboarding: What is the ideal onboarding process for new sales reps? What should founders do and prep for when onboarding their first sales hires? What materials and recordings should they have ready? What are some early signs that a new hire is not working out? How do we measure their impact? For enterprise sales, it takes a long time to close new deals, how can one determine effectiveness of new reps when the sales cycle is so long?
More FP&A teams should take advantage of the secret power of Monte Carlo simulations, argues Jamie Genge, Head of Financial Planning and Analysis at the UK's National Physical Laboratory (NPL). Genge runs FP&A at the NPL which employs 775 scientists to provide research in science, engineering and technology to support scientific and commercial innovation in the UK. Some of the world's most significant innovations have origins at NPL, including radar; packet switching, the forbearer of the internet; the ACE computer; and the cesium atomic clock. Jamie's start began studying Human Geography before moving to audit at PwC. Jamie went to work for the National Physical Laboratory in the UK where over 11 years he has held multiple roles, including his current role as head of financial planning and analysis for the National Physical Laboratory (NPL). In this wide-ranging interview Jamie provides his take on Moving from audit to FP&A How FP&A acts as bid support in governmental organizations such as the NPL His passion for Monte Carlo analysis, a mathematical technique to account for risk and upside in decision making How Monte Carlo is used in the sales funnel, with examples from NPL How NPL conducts its budget and forecasting Bottom up vs Top Down budgeting The pride of building a team in FP&A as one of the greatest career achievements The challenges and opportunities in FP&A at this crossroads Jamie's gardening project as an analogy for FP&A Follow Jamie on LinkedIn Follow Paul Barnhurst on LinkedIn Follow Datarails on LinkedIn FP&A Today is brought to you by Datarails. Datarails is the financial planning and analysis platform that automates data consolidation, reporting and planning, while enabling finance teams to continue using their own Excel spreadsheets and financial models. With Datarails you get improved data integrity and visibility helping your relationships with your internal business partners and external stakeholders; real-time latest version of all your company's data in one place, with version control, audit trail and records, ensuring errors and multiple versions are avoided; the ability to let your data tell your story through proprietary, built-in visualization of critical KPIs in real-down; and drill-downs to answer questions on underlying data on the spot. Get in touch at www.datarails.com Follow DataRails on LinkedIn to find out about upcoming episodes and the latest FP&A news Read the Full Program Transcript Watch the Full Episode on YouTube To suggest a great guest for the show, or if you would like to be the FP&A Leader being interviewed contact email@example.com
Today, this is what's important: "Trop House” music, $10,000 liquor, Nancy Reagan's reputation, the new bases, Monte Carlo, RIP Bill Russell, Kyle's Reeses beef, and more! See omnystudio.com/listener for privacy information.
Random Vegas The stage at “Ka” uses vegetable oil in its hydraulic cylinders, rather than hydraulic fluid, for environment reasons (@VitalVegas) Twitpic of the week Diversity. That's what this week's winner brings to mind. @Misnomer shared a photo of south strip from the perspective of Aria…or one of the buildings in City Center. It showcases some of the most diverse options available in the market. Mandalay Bay, Luxor, Excalibur and NYNY all offer unique experiences within a mile of one another. Capped off by Monte Carlo, known today as Park MGM, and here you see a good example of the great blanding of the strip. Here's to hoping Hard Rock doesn't fuck up Mirage News Bellagio's Garden Table Slot Ticket Theft Bent Cards Flanker Kitchen Wynn's $10,000 Dinner
In this episode of The Stream Life Podcast, Nick Heudecker talks with Lior Gavish, the CTO at Monte Carlo. Monte Carlo is one of the top companies in the data observability market, and we were excited to have clarified some critical differences between observability data and data observability. It's a fun show as always, so pour a cup of coffee and listen in. Links What is Observability? Jobs at Cribl Cribl Secures $150M in Series D Funding and Introduces Cribl Search To Unlock Value of All Observability Data Jobs at Monte Carlo If you want to get every episode of the Stream Life podcast automatically, you can subscribe on Apple Podcasts, Spotify, Pocket Casts, Overcast, RSS, or wherever you get your podcasts.
Nigel Mansell's unbeaten start to the 1992 F1 season came to an end in dramatic fashion as he narrowly lost out to Ayrton Senna on the streets of Monte Carlo. Mark Hughes and Sam Smith join host Glenn Freeman to look back at a memorable weekend in Monaco, and all the other major topics in F1 at that time. As well as Mansell's heartbreak, we delve into the claims that he and Williams were too dominant early in 1992, and hear what Nigel thinks of those suggestions even today in an exclusive interview. There's also talk of comparisons between F1 and IndyCar, how Mansell's negotiations with Williams for 1993 were already looking problematic by this stage, Mika Hakkinen's change of attitude at Lotus, Ligier's decline, Damon Hill's travails in a hopeless Brabham, and talking of hopeless - Roberto Moreno's miracle performance to qualify for the race driving an Andrea Moda! ASK US ANYTHING: Submit your questions for our series finale using #BringBackV10s on Twitter, or email bringbackV10s@the-race.com
Francis' surprise bachelor party, elevator inconveniences, casinos in Montecarlo, and coming back from vacation. Get amazing men's basics at https://ruleofthreads.com and use code oops for 15% off! Use code oopsbeans at https://brooklynroasting.com/ for 5% off your next order! Get a free one year of immune-supporting Vitamin D and 5 free travel packs with your first purchase at https://Athleticgreens.com/oops Video versions of every episode: https://www.youtube.com/c/OopsThePodcast Follow us: https://www.instagram.com/oopsthepodcast/ https://www.instagram.com/francisccellis/ https://www.instagram.com/notjulio/ Produced by Chris Caso & Ryan Lynch https://www.instagram.com/chris.mp4/ https://www.instagram.com/ryanlynch28/
The Dream Team! USA Basketball's Legendary lineup from the 1992 Summer Olympics in Barcelona - Widely considered the greatest basketball team ever assembled! Andy chats with the former Assistant Coach of the Dream Team, Hall Of Famer - P.J. Carlesimo! Andy & P.J. share thoughts & memories from the experience that summer, 30 years ago! Andy & P.J. discuss how he got the call to join the coaching staff, Head Coach Chuck Daly's approach to coaching the team, his first time meeting Larry Bird, dynamics between team members, & winning the Gold Medal! Andy & P.J. remember traveling with the team, practices in Monte Carlo, 'Harry & Larry', shooting the Team Photo, Gold Medal moments, & more memories from the greatest team to ever touch the court!
Ron starts this episode talking about how sometimes customers don't give you the proper information : talks about the Connecticut electric bus fire and how they have pulled all the buses from the road : takes a call on a 12 Cruze with an error code for low input speed to the transmission : takes a call on an 01 Monte Carlo where the lower intake gasket was replaced and now it won't start or stay running unless the pedal is pressed to the metal. Visit us at https://www.cardoctorshow.com See omnystudio.com/listener for privacy information.
Leading Edge's own, co-founder and CFO, Kevin “The Professor” Gormley, CPA, PFS, CFP® is our special guest today. We think of a 5-year runway to take off for retirement. It can take that long to mentally prepare for the end of your career. It also may be enough time until retirement to make significant course corrections if necessary. At a minimum, this is the time to make sure you run that last Before Takeoff (retirement) checklist, and you are ready for a great retirement! A quick peek into the discussion with the Pilot Money Guys and “The Professor.” Understand the difference between risk tolerance and risk capacity. You may not have the capacity for investment risk at age 60 due to your income requirements in retirement. You should have an idea, the more clarity the better, on how much you want or need to spend in retirement. You need to know if your portfolio and other sources of income can support your desired level of lifestyle spending in retirement. What is the best way to ensure you do not run out of money in retirement? One way is to use a Monte Carlo analysis. But you must understand what the results actually mean. As you head into retirement, it may be beneficial to have the required spending needs in retirement covered by guaranteed sources. This includes military pensions, social security, and possibly annuities. The good news is the annuity marketplace now offers commission-free annuities!
Der Roadtrip führt Sainey zum Abschluss nach Saint-Tropez und Monaco. Die Themen: Es wird eine Ausgabe geben zu Kinder- und Hundefreundliche Unterkünfte für Zwischenstopps; Mit dem Wassertaxi nach Saint-Tropez; Zu wenige Yachtplätze; Nicht so günstig; Wie in den Gendarmenfilmen mit Louis de Funès; Geballtes Monaco mit vielen Tunneln; Monte-Carlo muss man gesehen haben; Formel 1 Fahrer sind absolute Könner; Die James Bond-Straße; Dort, wo der Jetset zu Mittag isst Dir stehen folgende Informationsquellen und Kontaktmöglichkeiten zur Verfügung: https://www.fti.de/service/reisehinweise.html https://www.fti.de/blog/reiseberichte-und-tipps/expertentipps/urlaub-corona-einreisebestimmungen/ Schreib uns deine Fragen, Reiseerlebnisse und Reisetipps an firstname.lastname@example.org
In this episode Benji talks to Mike Ebbers , Account Executive at Monte Carlo . Discussed in this episode: How to create video content that makes your audience feel understood Getting team members outside of marketing involved in creative projects Using content as a service
Manhunt updates, Bon Jovi bassist dies, Philadelphia had a terrible weekend, nobody cares about Monkeypox (00:16:15) , French Open news with a protestor who tied herself to the net with end of world countdown on her shirt (00:19:35), Ohio Senate candidate J.D. Vance wants to ban all pornography (00:27:50), an Australian man makes a Kangaroo tap out during fight (00:43:30) , Shakira leaves her longtime boyfriend Gerard Pique and is back on the market, Guinea pig sets dunk record, and a man is in a sexual relationship with his Monte Carlo named “Chase” (00:58:45) (00:00:00) - Timestamps Cup of Coffee in the Big Time (00:05:45) - Fun Fact: Get a free Koozie when you buy $50 or more of Fat Boy Summer Merch! (00:06:55) - Wes' trip to Alabama (00:09:20) - Some not so great manhunt updates (00:11:50) - Music deaths including rapper “Trouble” and “Bon Jovi” Bassist (00:15:10) - Shooting in Philly (00:16:15) - Nobody cares about Monkeypox (00:19:35)- Rafael Nadal wins French Open and a climate protester ties herself to the net (00:27:50) - J.D. Vance is running for Senator in Ohio and wants to ban PORN! TikTok International Moment (00:43:30) - Australian man fights Kangaroo to protect his dogs (00:49:00) - Shakira and Gerard Pique have broken up after it was discovered pretty much everyone on Barcelona was trying to fuck Spanish Model Suzy Cortez (00:52:05) - Guinea Pig sets record for slam dunks in 30 seconds (00:58:45) - Man has been in a loving and sexual relationship with his Monte Carlo named “Chase” for over a decade and we have some footage to share with you These stories, and much more, brought to you by our incredible sponsors: NOOM MOOD - Worry Less and Feel Happier. Sign up for your trial at Noom.com/factor HARRY'S - Get a Harry's Shaving Starter Set for just $3, or get Free Engraving on any premium shave set for Dad when you go to HARRYS.COM/HARDFACTOR FIRST PERSON - Start improving your brain health and cognition with First Person! Get fifteen percent off your first order by going to GETFIRSTPERSON.com and use code HARDFACTOR Go to store.hardfactor.com and patreon.com/hardfactor to support the pod with incredible merch and bonus podcasts Leave us a Voicemail at 512-270-1480, send us a voice memo to email@example.com, and/or leave a 5-Star review on Apple Podcasts to hear it on Friday's show Other Places to Listen: Spotify, Google Podcasts, Stitcher, Lots More... Watch Full Episodes on YouTube Follow @HardFactorNews on Instagram, Twitter, TikTok, and Facebook --- Support this podcast: https://anchor.fm/hard-factor/support