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Daily Archives: October 24, 2021
NBA’s 75 greatest players of all time – The complete list – ESPN
Posted: October 24, 2021 at 11:48 am
The NBA is celebrating its 75th anniversary throughout the 2021-22 season, and part of that celebration includes the unveiling of the list of the greatest players in NBA history. It has been 25 years since the league unveiled its list of the 50 greatest players in NBA history, which tipped off a season-long celebration of the NBA's 50th anniversary in 1996. During halftime of the 1997 NBA All-Star Game in Cleveland, 47 of the 50 members of that team were honored in person. The 2022 All-Star Game is once again slated to return to Cleveland as a nod to that moment.
The NBA's 75th anniversary team was selected by a blue-ribbon panel of media, current and former players, coaches, general managers and team executives. As a result of a tie in the voting, the 75th anniversary team includes 76 players.
The complete list of players is in alphabetical order below.
Stats: 24.6 PPG, 11.2 RPG, 3.6 APG in 20 seasons with Milwaukee Bucks (1969-70 to 1974-75) and Los Angeles Lakers (1975-76 to 1988-89); NBA's career leader in total points.
Accomplishments: 19-time All-Star, 15-time All-NBA, 11-time All-Defensive Team, six-time MVP, two-time Finals MVP, 1969-70 Rookie of the Year, two-time scoring champ, four-time blocks champ, 1975-76 rebounding champ, six-time NBA champion.
Stats: 18.9 PPG, 4.1 RPG, 3.4 APG in 18 seasons with Milwaukee Bucks (1996-97 to 2002-03), Seattle SuperSonics (2002-03 to 2006-07), Boston Celtics (2007-08 to 2011-12) and Miami Heat (2012-13 to 2013-14); NBA's all-time leader in career 3-point field goals.
Accomplishments: 10-time All-Star, two-time All-NBA, two-time NBA champion.
Stats: 20.9 PPG, 9.1 RPG, 4.5 APG in eight seasons with Milwaukee Bucks (2013-14 to 2020-21)*.
Accomplishments: Five-time All-Star, five-time All-NBA, four-time All-Defensive team, two-time MVP, 2019-20 Defensive Player of the Year, 2016-17 Most Improved Player, 2021 Finals MVP, 2021 NBA champion.
Stats: 23.0 PPG, 6.3 RPG, 2.8 APG in 18 seasons with Denver Nuggets (2003-04 to 2010-11), New York Knicks (2010-11 to 2016-17), Oklahoma City Thunder (2017-18), Houston Rockets (2018-19), Portland Trail Blazers (2019-20 to 2020-21)*.
Accomplishments: 10-time All-Star, six-time All-NBA, 2012-13 scoring champ.
Stats: 18.8 PPG, 2.3 RPG, 7.4 APG in 13 seasons with Cincinnati Royals/KC-Omaha/Kansas City Kings (1970-71 to 1975-76), New York Nets (1976-77), Boston Celtics (1978-79 to 1982-83) and Milwaukee Bucks (1983-84).
Accomplishments: Six-time All-Star, five-time All-NBA, 1972-73 scoring and assists champ, 1981 All-Star MVP, 1981 NBA champion.
Stats: 22.8 PPG, 8.6 RPG, 2.3 APG in 10 NBA seasons with Philadelphia Warriors (1950-51 to 1961-62).
Accomplishments: 10-time All-Star, four-time All-NBA, 1950-51 Rookie of the Year, 1952 All-Star MVP, two-time scoring champ, 1956 NBA champion.
Stats: 22.1 PPG, 11.7 RPG, 3.9 APG in 16 seasons with Philadelphia 76ers (1984-85 to 1991-92), Phoenix Suns (1992-93 to 1995-96) and Houston Rockets (1996-97 to 1999-00).
Accomplishments: 11-time All-Star, 11-time All-NBA, 1992-93 MVP, 1991 All-Star MVP, 1986-87 rebounding champ.
Stats: 23.2 PPG, 6.5 RPG, 5.1 APG in 10 NBA seasons with San Francisco/Golden State Warriors (1965-66 to 1966-67; 1972-73 to 1977-78) and Houston Rockets (1978-79 to 1979-80); also played four ABA seasons with Oakland Oaks (1968-69), Washington Capitols (1969-70) and New York Nets (1970-71 to 1971-72).
Accomplishments: Eight-time NBA All-Star, six-time All-NBA, 1975 Finals MVP, 1965-66 Rookie of the Year, 1966-67 scoring champ, 1974-75 steals champ, 1975 NBA champion.
Stats: 27.4 PPG, 13.5 RPG, 4.3 APG in 14 seasons with Minneapolis/Los Angeles Lakers (1958-59 to 1971-72).
Accomplishments: 11-time All-Star, 10-time All-NBA, 1958-59 Rookie of the Year, 1959 All-Star MVP.
Stats: 20.3 PPG, 3.8 RPG, 6.0 APG in 12 seasons with Detroit Pistons (1966-67 to 1974-75), Washington Bullets (1975-76 to 1976-77) and Boston Celtics (1977-78).
Accomplishments: Seven-time All-Star, three-time All-NBA, 1966-67 Rookie of the Year, 1976 All-Star MVP, 1967-68 scoring champ.
Stats: 24.3 PPG, 10.0 RPG, 6.3 APG in 13 seasons with Boston Celtics (1979-80 to 1991-92).
Accomplishments: 12-time All-Star, 10-time All-NBA, three-time All-Defensive team, three-time MVP, two-time Finals MVP, 1979-80 Rookie of the Year, 1982 All-Star MVP, three-time NBA champion.
Stats: 25.0 PPG, 5.2 RPG, 4.7 APG in 20 seasons with Los Angeles Lakers (1996-97 to 2015-16).
Accomplishments: 18-time All-Star, 15-time All-NBA, 12-time All-Defensive team, 2007-08 MVP, two-time Finals MVP, four-time All-Star MVP, two-time scoring champ, five-time NBA champion.
Stats: 30.1 PPG, 22.9 RPG, 4.4 APG in 14 seasons with Philadelphia/San Francisco Warriors (1959-60 to 1964-65), Philadelphia 76ers (1964-65 to 1967-68) and Los Angeles Lakers (1968-69 to 1972-73).
Accomplishments: 13-time All-Star, 10-time All-NBA, two-time All-Defensive team, four-time MVP, 1972 Finals MVP, 1959-60 Rookie of the Year, 11-time rebounding champ, seven-time scoring champ, 1967-68 assists champ, two-time NBA champion.
Stats: 18.4 PPG, 5.2 RPG, 7.5 APG in 14 seasons with Boston Celtics (1950-51 to 1962-63) and Cincinnati Royals (1969-70).
Accomplishments: 13-time All-Star, 12-time All-NBA, eight-time assists champ, 1956-57 MVP, two-time All-Star MVP, six-time NBA champion.
Stats: 17.6 PPG, 13.6 RPG, 3.8 APG in 11 seasons with Boston Celtics (1970-71 to 1979-80) and Milwaukee Bucks (1982-83).
Accomplishments: Eight-time All-Star, three-time All-NBA, three-time All-Defensive team, 1972-73 MVP, 1973 All-Star MVP, 1970-71 Rookie of the Year, two-time NBA champion.
Stats: 20.8 PPG, 10.1 RPG, 4.0 APG in nine seasons with Philadelphia 76ers (1965-66 to 1971-72; 1974-75 to 1975-76); also played two ABA seasons with Carolina Cougars (1972-73 to 1973-74).
Accomplishments: Four-time All-Star, four-time All-NBA, 1967 NBA champion.
Stats: 24.2 PPG, 4.6 RPG, 6.5 APG in 11 seasons with Golden State Warriors (2009-10 to 2020-21)*.
Accomplishments: Seven-time All-Star, seven-time All-NBA, two-time MVP, two-time scoring champ, 2015-16 steals champ, three-time NBA champion.
Stats: 23.9 PPG, 10.2 RPG, 2.3 APG in nine seasons with New Orleans Hornets/Pelicans (2012-13 to 2018-19) and Los Angeles Lakers (2019-20 to 2020-21)*.
Accomplishments: Eight-time All-Star, four-time All-NBA, four-time All-Defensive team, 2017 All-Star MVP, three-time blocks champ, 2020 NBA champion.
Stats: 16.1 PPG, 11.0 RPG, 2.9 APG in 12 seasons with Detroit Pistons (1962-63 to 1968-69) and New York Knicks (1968-69 to 1973-74).
Accomplishments: Eight-time All-Star, 1968-69 All-NBA, six-time All-Defensive team, two-time NBA champion.
Stats: 20.4 PPG, 6.1 RPG, 5.6 APG in 15 seasons with Portland Trail Blazers (1983-84 to 1994-95) and Houston Rockets (1994-95 to 1997-98).
Accomplishments: 10-time All-Star, five-time All-NBA, 1995 NBA champion.
Stats: 19.0 PPG, 10.8 RPG, 3.0 APG in 19 seasons with San Antonio Spurs (1997-98 to 2015-16).
Accomplishments: 15-time All-Star, 15-time All-NBA, 15-time All-Defensive team, two-time MVP, three-time Finals MVP, 2000 All-Star MVP, 1997-98 Rookie of the Year, five-time NBA champion.
Stats: 27.0 PPG, 7.1 RPG, 4.2 APG in 14 seasons with Seattle SuperSonics (2007-08), Oklahoma City Thunder (2008-09 to 2015-16), Golden State Warriors (2016-17 to 2018-19) and Brooklyn Nets (2019-20 to 2020-21)*.
Accomplishments: 11-time All-Star, nine-time All-NBA, 2013-14 MVP, 2007-08 Rookie of the Year, two-time All-Star MVP, two-time Finals MVP, four-time scoring champ, two-time NBA champion.
Stats: 22.0 PPG, 6.7 RPG, 3.9 APG in 11 NBA seasons with Philadelphia 76ers (1976-77 to 1986-87); also played five ABA seasons with Virginia Squires (1971-72 to 1972-73) and New York Nets (1973-74 to 1975-76).
Accomplishments: 11-time NBA All-Star, seven-time All-NBA, 1980-81 MVP, two-time NBA All-Star MVP, 1983 NBA champion.
Stats: 21.0 PPG, 9.8 RPG, 2.4 BPG in 17 seasons with New York Knicks (1985-86 to 1999-00), Seattle SuperSonics (2000-01) and Orlando Magic (2001-02).
Accomplishments: 11-time All-Star, seven-time All-NBA, three-time All-Defensive team, 1985-86 Rookie of the Year.
Stats: 18.9 PPG, 5.9 RPG, 6.1 APG in 13 seasons with New York Knicks (1967-68 to 1976-77) and Cleveland Cavaliers (1977-78 to 1979-80).
Accomplishments: Seven-time All-Star, six-time All-NBA, seven-time All-Defensive team, 1975 All-Star MVP, two-time NBA champion.
Stats: 17.0 PPG, 10.0 RPG, 3.7 APG in 21 seasons with Minnesota Timberwolves (1995-96 to 2006-07; 2014-15 to 2015-16), Boston Celtics (2007-08 to 2012-13) and Brooklyn Nets (2013-14 to 2014-15).
Accomplishments: 15-time All-Star, nine-time All-NBA, 12-time All-Defensive Team, 2003-04 MVP, 2007-08 Defensive Player of the Year, 2003 All-Star MVP, four-time rebounding champ, 2008 NBA champion.
Stats: 26.2 PPG, 4.6 RPG, 2.8 APG in 10 NBA seasons with San Antonio Spurs (1976-77 to 1984-85) and Chicago Bulls (1985-86); also played four ABA seasons with Virginia Squires (1972-73 to 1973-74) and San Antonio Spurs (1973-74 to 1975-76).
Accomplishments: Nine-time NBA All-Star, seven-time All-NBA, 1980 All-Star MVP, four-time NBA scoring champ.
Stats: 19.2 PPG, 5.0 RPG, 4.0 APG in 15 seasons with Syracuse Nationals/Philadelphia 76ers (1958-59 to 1972-73).
Accomplishments: 10-time All-Star, seven-time All-NBA, 1968 All-Star MVP, 1967 NBA champion.
Stats: 25.1 PPG, 5.5 RPG, 6.5 APG in 12 seasons with Oklahoma City Thunder (2009-10 to 2011-12), Houston Rockets (2012-13 to 2020-21) and Brooklyn Nets (2020-21)*.
Accomplishments: Nine-time All-Star, seven-time All-NBA, three-time scoring champ, 2016-17 assists champ, 2017-18 MVP, 2011-12 Sixth Man of the Year.
Stats: 20.8 PPG, 6.3 RPG, 4.8 APG in 16 seasons with Boston Celtics (1962-63 to 1977-78).
Accomplishments: 13-time All-Star, 11-time All-NBA, eight-time All-Defensive team, 1974 Finals MVP, eight-time NBA champion.
Stats: 21.0 PPG, 12.5 RPG, 1.8 APG in 16 season with San Diego/Houston Rockets (1968-69 to 1971-72; 1981-82 to 1983-84) and Baltimore/Capital/Washington Bullets (1972-73 to 1980-81) .
Accomplishments: 12-time All-Star, six-time All-NBA, two-time All-Defensive team, 1968-69 scoring champ, two-time rebounding champ, 1978 NBA champion.
Stats: 26.7 PPG, 3.7 RPG, 6.2 APG in 14 seasons with Philadelphia 76ers (1996-97 to 2006-07; 2009-10), Denver Nuggets (2006-07 to 2008-09), Detroit Pistons (2008-09) and Memphis Grizzlies (2009-10) .
Accomplishments: 11-time All-Star, seven-time All-NBA, 2000-01 MVP, two-time All-Star MVP, 1996-97 Rookie of the Year, four-time scoring champ, three-time steals champ.
Stats: 27.0 PPG, 7.4 RPG, 7.4 APG in 18 seasons with Cleveland Cavaliers (2003-04 to 2009-10; 2014-15 to 2017-18), Miami Heat (2010-11 to 2013-14) and Los Angeles Lakers (2018-19 to 2020-21)*.
Accomplishments: 17-time All-Star, 17-time All-NBA, six-time All-Defensive team, four-time MVP, four-time Finals MVP, three-time All-Star MVP, 2003-04 Rookie of the Year, 2007-08 scoring champ, 2019-20 assists champ, four-time NBA champion.
Stats: 19.5 PPG, 7.2 RPG, 11.2 APG in 13 seasons with Los Angeles Lakers (1979-80 to 1990-91; 1995-96).
Accomplishments: 12-time All-Star, 10-time All-NBA, three-time MVP, three-time Finals MVP, two-time All-Star MVP, four-time assists champ, two-time steals champ, five-time NBA champion.
Stats: 17.7 PPG, 4.9 RPG, 2.5 APG in 12 seasons with Boston Celtics (1957-58 to 1968-69).
Accomplishments: Five-time All-Star, three-time All-NBA, 10-time NBA champion.
Stats: 30.1 PPG, 6.2 RPG, 5.3 APG in 15 seasons with Chicago Bulls (1984-85 to 1992-93; 1994-95 to 1997-98) and Washington Wizards (2001-02 to 2002-03); NBA's career leader in points per game.
Accomplishments: 14-time All-Star, 11-time All-NBA, nine-time All-Defensive team, five-time MVP, six-time Finals MVP, three-time All-Star MVP, 1987-88 Defensive Player of the Year, 1984-85 Rookie of the Year, 10-time scoring champ, three-time steals champ, six-time NBA champion.
Stats: 12.6 PPG, 6.3 RPG, 8.7 APG in 19 seasons with Dallas Mavericks (1994-95 to 1996-97; 2007-08 to 2011-12), Phoenix Suns (1996-97 to 2000-01), New Jersey Nets (2001-02 to 2007-08) and New York Knicks (2012-13).
Accomplishments: 10-time All-Star, six-time All-NBA, nine-time All-Defensive team, 1994-95 Rookie of the Year, five-time assists champ, 2011 NBA champion.
Stats: 19.2 PPG, 6.4 RPG, 2.9 APG in 10 seasons with San Antonio Spurs (2011-12 to 2017-18), Toronto Raptors (2018-19) and LA Clippers (2019-20 to 2020-21)*.
Accomplishments: Five-time All-Star, five-time All-NBA, two-time Finals MVP, two-time Defensive Player of the Year, 2020 All-Star MVP, 2014-15 steals champ, two-time NBA champion.
Stats: 24.7 PPG, 4.2 RPG, 6.6 APG in nine seasons with Portland Trail Blazers (2012-13 to 2020-21)*.
Accomplishments: Six-time All-Star, six-time All-NBA, 2012-13 Rookie of the Year.
Stats: 17.0 PPG, 15.6 RPG, 3.3 APG in 11 seasons with Cincinnati Royals (1963-64 to 1969-70), San Francisco Warriors (1969-70 to 1970-71) and New York Knicks (1971-72 to 1973-74).
Accomplishments: Seven-time All-Star, five-time All-NBA, 1963-64 Rookie of the Year, 1965 All-Star MVP, 1973 NBA champion.
Stats: 25.0 PPG, 10.1 RPG, 3.6 APG in 19 seasons with Utah Jazz (1985-86 to 2002-03) and Los Angeles Lakers (2003-04).
Accomplishments: 14-time All-Star, 14-time All-NBA, four-time All-Defensive team, two-time MVP, two-time All-Star MVP.
Stats: 20.6 PPG, 12.2 RPG, 1.3 BPG in 19 NBA seasons with Buffalo Braves (1976-77), Houston Rockets (1976-77 to 1981-82), Philadelphia 76ers (1982-83 to 1985-86; 1993-94), Washington Bullets (1986-87 to 1987-88), Atlanta Hawks (1988-89 to 1990-91), Milwaukee Bucks (1991-92 to 1992-93) and San Antonio Spurs (1994-95); also played two ABA seasons with Utah Stars (1974-75) and Spirits of St. Louis (1975-76).
Accomplishments: 12-time NBA All-Star, eight-time All-NBA, two-time NBA All-Defensive team, three-time NBA MVP, 1983 Finals MVP, six-time NBA rebounding champ, 1983 NBA champion.
Stats: 24.2 PPG, 4.2 RPG, 5.4 APG in 10 seasons with Atlanta Hawks (1970-71 to 1973-74), New Orleans/Utah Jazz (1974-75 to 1979-80) and Boston Celtics (1979-80).
Accomplishments: Five-time All-Star, four-time All-NBA, 1976-77 scoring champ.
Stats: 22.1 PPG, 9.4 RPG, 2.3 APG in 14 seasons with Buffalo Braves.
Accomplishments: Five-time All-Star, two-time All-NBA, 1974-75 MVP, 1972-73 Rookie of the Year, three-time scoring champ, two-time NBA champion.
Stats: 17.9 PPG, 7.3 RPG, 1.7 BPG in 13 seasons with Boston Celtics (1980-81 to 1992-93).
Accomplishments: Seven-time All-Star, 1986-87 All-NBA, six-time All-Defensive team, two-time Sixth Man of the Year, three-time NBA champion.
Stats: 23.1 PPG, 13.4 RPG, 2.8 APG in seven seasons with Minneapolis Lakers (1948-49 to 1955-56).
Accomplishments: Four-time All-Star, six-time All-BAA/NBA, 1953 All-Star MVP, three-time scoring champ, 1952-53 rebounding champ, five-time BAA/NBA champion.
Stats: 18.2 PPG, 3.0 RPG, 3.0 APG in 18 seasons with Indiana Pacers (1987-88 to 2004-05).
Accomplishments: Five-time All-Star, three-time All-NBA.
Stats: 18.8 PPG, 3.0 RPG, 3.9 APG in 13 seasons with Baltimore Bullets (1967-68 to 1971-72) and New York Knicks (1971-72 to 1979-80).
Accomplishments: Four-time All-Star, 1968-69 All-NBA, 1967-68 Rookie of the Year, 1973 NBA champion.
Stats: 14.3 PPG, 3.0 RPG, 8.5 APG in 18 seasons with Phoenix Suns (1996-97 to 1997-98; 2004-05 to 2011-12), Dallas Mavericks (1998-99 to 2003-04) and Los Angeles Lakers (2012-13 to 2013-14).
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NBA's 75 greatest players of all time - The complete list - ESPN
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Frappe: The History of Coffee That Greeks Are Obsessed With – Greek Reporter
Posted: at 11:48 am
The frappe is a lifestyle for Greek people. Credit: Robert Gourley, CC BY 2.0
Frothy, cold, and full of caffeine, nearly everyoneGreeks and non-Greeks alikeloves the classic Greek coffee drink Frappe.
Frappe coffee, or Greek frape, is a foam-covered iced coffee drink made from instant coffee, sugar, ice cubes and water. Occasionally, people add milk to the drink.
It is very popular in Greece and Cyprus, especially during the hot summer months, but has spread to other countries around the world, and especially wherever Greeks are present.
The Greek frappe became a symbol of the post-war outdoor Greek coffee culture. Although the freddo espresso, another Greek invention, has become very popular, the frappe, to this date, remains the most popular coffee beverage among the Greeks.
But what is the history of the frappe and how it came to be? After contacting Yiannis Michalopoulos, Senior Brand Manager at Nescaf of Nestl Hellas, the widely known story of the frappe being invented by accident at the 1957 Thessaloniki International Fair (TIF) was confirmed.
Dimitris Vakondios, an employee of the Nestl company, invented the delicious coffee drink at the TIF. Nestl was introducing a new chocolate beverage for children that was produced instantly in a shaker.
During a break, Vakondios wanted to have his regular Nescaf Classic but he could not find any hot water, so he mixed the coffee with cold water in a shaker, and the Frappe was born.
Frappe took over its official name and became the national coffee beverage of modern Greece around 1979. Although the word frappe originates from the French word meaning shaken or stirred, the Greek invention has nothing in common with the French chilled beverage produced in a shaker, which contains milk or fruit juice instead of coffee.
Greek frappe is available in three degrees of sweetness, determined by the amount of sugar used. These are: glyks (sweet two teaspoons of coffee and four teaspoons of sugar);mtrios(medium two teaspoons of coffee and two teaspoons of sugar); andsktos(plain two teaspoons of coffee and no sugar).
All varieties of the drink may be served with or without milk. Sometimes, frappe is served without any water (besides the water used in the foam) and milk is used instead. This variation is most commonly found in Cyprus. Different kinds of liquors are sometimes used for additional variation, as well as chocolate milk or a ball of vanilla ice instead of milk.
The preparation recipe is quite easy. The coffee can be made either with a cocktail shaker or an appropriate mixer (e.g. a hand mixer). One or two teaspoons of coffee, sugar to taste and a little water are blended to form a brownish foam, which is poured into a tall glass. To this, add cold water and ice cubes, and, optional, milk typically evaporated milk. The glass is served with a straw.
Nescaf Frappe has been exported to many European countries, including the UK, the Netherlands, Germany, Belgium, France, Switzerland, Luxemburg, Bulgaria, the USA and Australia.
Ever since its first commercial launch in 1979, Greek Frappe has been symbolically and visually connected to the easy-going and careless summertime for Greeks.
This iconic connection and the frappes unique ability to maintain its quality longer through the heat than any other beverage, has resulted in the myth of the frapp being a symbol of a lazy day on the beach during the iconic Greek summertime.
However, Michalopoulos explained that extensive research has shown that the two key reasons why someone chooses to drink frapp are stimulation and social sharing, not laziness.
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Frappe: The History of Coffee That Greeks Are Obsessed With - Greek Reporter
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7 of the Most Memorable World Series in Baseball History – History
Posted: at 11:48 am
Major League Baseball history is filled with memorable World Series, from the first in 1903 to the 21st century. The New York Yankees, who have won more titles (27) than any other big-league team, have played in many World Series that have captured the imaginations of sports fans and historians. Here are seven of the most memorable World Series of all time.
WHAT MADE IT MEMORABLE:It was the first World Series
The American and National leagues bickered for two seasons before they agreed to play the first modern World Series in 1903. So, the Americans' 5-3 victory in the nine-game series was hugely significant for the fledgling league, established in 1901.
"When one pauses and looks backward a few seasons at the time when the big moguls of the National League turned up their noses in scorn at the very mention of the newcomer, the despised American League infant, one cannot refrain from thinking that this glorious victory of the junior organization over the National League champions must be a bitter pill for the fathers of the grand old body to swallow, wrote Walter C. Kelly of the Buffalo Courier.
The first World Series also concluded with a rarity: praise for umpires."One particularly pleasing feature of the series just finished was the impartial and almost faultless umpiring of Messrs. O'Day and Connolly," Pirates owner Barney Dreyfuss said, via the Pittsburgh Daily Post.
READ MORE: World Series History
WHAT MADE ITMEMORABLE:The "Black Sox" Scandal
In the 1919 World Series, the Cincinnati Reds won in eight games. Then a Series-related scandal rocked the game.
Chicago Sun-Times/Chicago Daily News collection/Chicago History Museum/Getty Images
The alleged game-fixing of the World Series was dubbed the "Black Sox" Scandal for the eight White Sox players involved.All were acquitted in court in 1920 but banned from the sport by Major League Baseball commissioner Kenesaw Mountain Landis.Evidence pointed to the players' guilt in cahoots with gamblers, although many have debated the involvement of the White Sox's "Shoeless Joe" Jackson, one of the greatest players in MLB history.
READ MORE: Did Shoeless Joe Jackson Conspire to Throw the 1919 World Series?
By 1920, suspicions of a fixed World Series had dogged the White Sox. Contemporaneous coverage of the World Series suggested things were playing out in an unusual fashion.
After Game 5, there reportedly was a dispute between the gamblers and players over non-payment of progress money. The White Sox won Game 6, 5-4, and then Game 7, 4-1, behind the complete-game pitching of aceEddie Cicotte, one of the alleged conspirators.
Wrote C. Starr Matthews of the Baltimore Sunafter that game: For once in this mad series for the worlds baseball championship the dope ran true to form, and Eddie Cicotte, after two failures, managed to beat the Reds.
Added Matthews: "[T]here is no club in the country that had the right to believe it can trim the veteran star of the White Sox three times in succession. Cicotte led the majors with 29 wins in 1919.
WATCH: World Series Fix! The Black Sox Scandal on HISTORY Vault
WHAT MADE ITMEMORABLE:Don Larsens perfect game
The Yankees and Dodgers have met 11 times for the World Series, seven while the Dodgers were in Brooklyn and four after their move to Los Angeles. Their seventh and final crosstown meeting was the most memorable, though, because of Don Larsens historic Game 5 performance.
The teams split the first four games of the World Series. Larsen, who lasted only 1.2 innings as a starter in Game 2, more than atoned for that performance in Game 5, throwing the only perfect game in World Series history.
The imperfect man pitched a perfect game yesterday," wrote the New YorkDaily News Joe Trimble. "Don, an affable, nerveless man who laughs his way through life, doesnt know how to worry With the tension tearing at their nerves and sweat breaking out on the palms of the onlookers, Larsen seemed to be the calmest man in the place.
Appearances were deceiving. I was so nervous I couldnt think straight. [Catcher] Yogi [Berra] had to do my thinking for me, Larsen told the Daily News afterward. My arm was still strong [in the ninth inning], but my legs began to wobble. Theyre still wobbling now.
WHAT MADE ITMEMORABLE:Bill Mazeroskis Game 7, World Series-winning home run
Pittsburgh's Bill Mazeroski celebrated in the locker room after his game-winning home run.
Bettmann Archive/Getty Images
It just had to happen. It couldnt have been any other way for the victory-starved, emotionally drained Pittsburgh baseball populace and its beloved Pirates.Those were the words written byPittsburgh Post-Gazette sports editor Al Abrams after second baseman Bill Mazeroskis blast, the only game-winning, Game 7 home run in World Series history.
READ MORE: The Most Dramatic Home Run in World Series History
The teams combined for nine runs in the final two innings and were tied at 9 before Mazeroski sent a 1-0 fastball from Ralph Terry over the left-field fence to win the title. Mazeroski, known more for his defense, told reporters: I made up my mind I was going for the long ball I caught it on the fat of my bat. I knew it was a good-hit ball.
The home run touched off a wild celebration at Forbes Field and throughout Pittsburgh. As Abramsput it, [Pirates fans] milled around for several hours shouting and singing: Our Pirates are going all the way. Beat Em, Bucs. It mattered not to them that their Pirates had already gone all the way and they did beat em, Yanks.
The loss was particularly galling for the Yankees and their fans. New York outscored Pittsburgh, 55-27, in the World Series.
WHAT MADE ITMEMORABLE:Carlton Fisk "waving" a home run fair
The Reds, known as the "Big Red Machine" for their 1970s dominance, were one of the best teams of all time. They won 108 games during the regular season, swept the Pittsburgh Pirates in the playoffs in three games and won the World Series in seven games.
But it was a hit by Red Sox catcher Carlton Fisk in Game 6 that cemented this World Series as a classic. In the eighth inning at Fenway Park, Boston erased a 6-3 deficit on a three-run homer by Bernie Carbo. In the bottom of the 12th, Fisk led off with a long drive to left field that hit the foul pole for the winning home run. En route to first base, he tried to wave the ball fairone of the sport's more iconic moments.
Of the home run, Fisk said:When youre a kid, you dream about being Ted Williams or Mickey Mantle and hitting a home run to win an All-Star game or one like this. You only dream about it. You never expect it to happen. When you think about what happened out there tonight, its like something out of a story book I mean, its almost too good to be true.
WHAT MADE ITMEMORABLE: BillBuckners big mistake
Boston first baseman Bill Buckner's error was one of the most infamous in World Series history.
Stan Grossfeld/The Boston Globe/Getty Images
In the bottom of the 10th inning of Game 6, the Mets' Mookie Wilson stepped to the plate with the score tied at 5. On a full count, he hit a slow roller to first base. The ball went through first baseman Bill Buckner's legs for an errorone of the most infamous errors in World Series historyand Ray Knight scored the winning run to force a Game 7.
"It was bouncing, bouncing, bouncing...then it went under [my glove]," Buckner told reporters. "I haven't missed a grounder in two months."Boston manager John McNamara was excoriated for leaving Buckner, a poor defensive player, in the game. "If the Red Sox don't come back to win this World Series, manager John McNamara might want to move to another town," wrote Ian Thomsen of the Boston Globe.
READ MORE: 6 of the Wildest Moments from the 1986 New York Mets Championship Season
Many blame Buckner for Boston's loss, but the truth was many Red Sox were at fault for the collapse. Boston reliever Bob Stanleys wild pitch allowed the Mets to tie the score before Wilsons winning grounder.
Said Mets manager Davey Johnson: Ive never run out on the field, but when the ball got past Buckner, and I knew the run was going to score, I ran on the field. It was very emotional. This is not a club that gives up easy.
New York won Game 7, 8-5, extending the World Series misery for the Red Sox, who had not won a championship since 1918. (In 2004, Boston finally won a title, ending "The Curse of the Bambino.")
READ MORE: What Was the Curse of the Bambinoand How Was Baseball's Greatest Hex Broken?
WHAT MADE ITMEMORABLE:Arizonas Game 7 rally
The 2001 World Seriesplayed less than two months after the September 11terrorist attackswas perhaps the most emotionally charged in baseball history. It delivered on the field, too, with Yankee shortstop Derek Jeters winning home run in Game 4. That game, which started on October 31, Halloween, and ended after midnight, earned Jeter the Mr. November moniker.
In Game 7, New York held a 2-1 lead in the bottom of the ninth. A fourth straight title World Series title seemed imminent. The Yankees turned to relief pitcher Mariano Rivera, a future Hall of Famer who had an aura of invincibility. That didnt matter to the Diamondbacks, who tied the score on Tony Womack's double and won the title on Luis Gonzalez's single over a drawn-in infield. Said Womack:I wasnt feeling nothing. Just see the ball, hit the ball. .
We knew it wasnt going to be easy against that guy. Hes pretty much automatic. But you know what? We never were going to give up. No way, Diamondbacks catcher Damian Miller said of the effort against Rivera.
Diamondbacks first baseman Mark Grace summed up the disbelief many felt watching the comeback, telling reporters, I think we just won the World Series! I think we just won the World Series!
READ MORE: World Series History
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Best team in HH history ousted on PKs – The Herald
Posted: at 11:48 am
Photo by Hunter Tickel/The HeraldHeritage Hills junior defender Charlie Brentlinger (22) clears the ball during miscommunication with junior keeper Aiden Harris (1), the two collided on the sequence. The Patriots lost to Brebeuf 2-1 after a 7-6 penalty shootout on Saturday at Evansville Central in Class 2A semi-state.
By HUNTER TICKELhtickel@dcherald.com
EVANSVILLE As the match carried deeper into a deadlock on Saturday, Heritage Hills' chances of progressing to an inaugural state championship came to the forefront.
The match extended to three rounds of a sudden death shootout. However, the deepest postseason run in school history came to a close with a 7-6 loss on spot kicks in Class 2A semi-state boys soccer.
We came into the game feeling like we had a chance, Heritage Hills coach Joe Asbury said. We were confident. Even on the goal that they scored, we knew that was a possibility because of the field. We were trying to not give up corner kicks. But it happens.
Brebeuf Jesuit created the bulk of scoring chances and held possession for a longer period on Saturday at Evansville Central.
The No. 7 Patriots (19-2) surrendered just one goal and combinations created goal-scoring opportunities on the counterattack.
Making their first appearance in the state final four, the Pats got the ultimate goal against the run of play, with five minutes left in the opening half.
Junior keeper Aiden Harris launched a punt to junior target forward Geo Arias. He not only won the 50-50 ball, but his adept first touch put him in position to advance towards the goal.
He knocked the ball to the right with the outside of his boot to senior Ethan Hill, who cut inside to get around the lone defender and bury the breakaway equalizer.
Geos had a good year, Asbury said. (Today) he did a nice job, too. He did a really good job of winning balls and holding a little bit. We ask a lot out of (seniors) Jose (Lara) and Gabe (Staggs). Those guys put some miles in today. Youre not going to get many offensive opportunities if you dont have someone that can hold the ball.
It was Hills eighth goal of the season, and Arias third assist.
The moment of aplomb ignited a renewed push from the Patriots, who won 14 in a row coming into the match.
In the second half, the Pats were most threatening with Lara running toward goal or Arias with his back to the net.
I feel like we could have played better, Lara said. We were trying to force up the ball, but at the end of the day, what can we do?
The first half was another story.
The flow after the opening 20 minutes tilted to the Braves favor.
In the 22nd minute, a corner kick floated to the middle of the box that sophomore midfielder Mateo Soria redirected to the six-yard box with an outstretched touch. Sophomore midfielder Julian Bell got on the end of it to score.
Nine minutes later, senior defender Jake Rosenberg served a cross from 50 yards on the right to the other side that sophomore forward Ben Haneline volleyed wide right of the lower corner.
In the 61st minute, the Braves were gifted a golden chance. An inswinging cross into the 18-yard box was punched by Harris directly to Haneline, his wide-open nod glanced off the crossbar with the net empty.
In the final minute of regulation, the Braves sprung one of their best attacks of the match as Bell chipped a pass to the left, a teammate one-timed it to a teammate in the middle before Pats junior defender Jesus Lara snuffed out the chance with a block.
Its really heartbreaking, Arias said. I feel like we could have done better. All (weve) got to do now is keep our (heads) up and be better next year.
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Knicks 121, Magic 98: Scenes from three-point history in Orlando – Posting and Toasting
Posted: at 11:48 am
The New York Knicks made franchise history Friday night in Orlando, hitting 24 three-pointers in a 121-98 blowout victory. The previous Knicks record for threes in a game was 20, so they really obliterated it.
The game was a rout early on. Evan Fournier (18 points) got them started, and was showing some razzle-dazzle with his passing. Julius Randle led the team with 21 points, 10 rebounds and 7 assists.
The Knicks took a 30-point lead into the half. Apparently it was only the third time in franchise history they led by 30 at halftime on the road. Yeah, it was that kind of night.
The starters actually stumbled in the third quarter, allowing the Magic to whittle their deficit down below 20 points. The bench came in and restored order particularly Obi Toppin, who scored 13 points and played some nice defense. Its definitely a new season for Obi.
The fourth quarter was a three-point shooting clinic. Even rookie Quentin Grimes got into the act with the first bucket of his NBA career.
Fun game. Recap to come.
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Confederate monuments and the history of lynching in the American South: An empirical examination – pnas.org
Posted: at 11:48 am
Significance
The fight over Confederate monuments has fueled lawsuits, protests, counterprotests, arrests, even terrorism, as we painfully saw in August 2017 in Charlottesville, VA. The fight rests on a debate over whether these monuments represent racism (hate) or something ostensibly devoid of racism (heritage, Southern pride). Herein, we show that Confederate monuments are tied to a history of racial violence. Specifically, we find that the number of lynching victims in a county is a positive and significant predictor of Confederate memorializations in that county, even after controlling for relevant covariates. This finding provides concrete, quantitative, historically and geographically situated evidence consistent with the position that Confederate memorializations reflect a racist history, marred by intentions to terrorize and intimidate Black Americans.
The present work interrogates the history of Confederate memorializations by examining the relationship between these memorializations and lynching, an explicitly racist act of violence. We obtained and merged data on Confederate memorializations at the county level and lynching victims, also at the county level. We find that the number of lynching victims in a county is a positive and significant predictor of the number of Confederate memorializations in that county, even after controlling for relevant covariates. This finding provides concrete, quantitative, and historically and geographically situated evidence consistent with the position that Confederate memorializations reflect a racist history, one marred by intentions to terrorize and intimidate Black Americans in response to Black progress.
The full code, documentation, and instructions for accessing the data to reproduce the analysis have been deposited in Open Science Framework (https://osf.io/afqhx/) (28).
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Announcing the ORBIT dataset: Advancing real-world few-shot learning using teachable object recognition – Microsoft
Posted: at 11:46 am
Object recognition systems have made spectacular advances in recent years, but they rely on training datasets with thousands of high-quality, labelled examples per object category. Learning new objects from only a few examples could open the door to many new applications. For example, robotics manufacturing requires a system to quickly learn new parts, while assistive technologies need to be adapted to the unique needs and abilities of every individual.
Few-shot learning aims to reduce these demands by training models that canrecognizecompletely novel objects from only a fewexamples, say 1 to 10.In particular,meta-learning algorithmswhichlearn to learnusing episodic trainingareapromisingapproachto significantly reduce the number of training examplesneeded totrain a model.However, most research infew-shot learning has been driven bybenchmark datasets that lack the high variationthat applications face when deployed in therealworld.
In partnership with City, University of London, we introduce the ORBIT dataset and few-shot benchmark for learning new objects from only a few, high-variation examples to close this gap. The dataset and benchmark set a new standard for evaluating machine learning models in few-shot, high-variation learning scenarios, which will help to train models for higher performance in real-world scenarios. This work is done in collaboration with a multi-disciplinary team, including Simone Stumpf, Lida Theodorou, and Matthew Tobias Harris from City, University of London and Luisa Zintgraf from University of Oxford. The work was funded by Microsoft AI for Accessibility. You can read more about the ORBIT research project and its goal to make AI more inclusive of people with disabilities in this AI Blog post.
You can learn more aboutthe workin our research papers:ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition,published atthe International Conference of Computer Vision (ICCV2021),andDisability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors, published at the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2021).
Youre also invited to join Senior Researcher DanielaMassicetifor a talk about the ORBIT benchmark dataset and harnessing few-shot learning for teachable AI at the firstMicrosoft Research Summit.Massicetiwill be presenting Bucket of me: Using few-shot learning to realize teachable AI systems as part of the Responsible AI track on October 19. To view the presentation on demand, register at the Research Summit event page.
The ORBIT benchmark dataset contains 3,822 videos of 486 objects recorded by 77 people who are blind or low vision using their mobile phonesa total of 2,687,934 frames. Code for loading the dataset, computing benchmark metrics, and running baselines is available at the ORBIT dataset GitHub page.
The ORBIT dataset and benchmark are inspired by a real-world application for the blind and low-vision community: teachable object recognizers. These allow a person to teach a system to recognize objects that may be important for them by capturing just a few short videos of those objects. These videos are then used to train an object recognizer that is personalized. This would allow a person who is blind to teach the object recognizer their house keys or favorite shirt, and then recognize them with a phone. Such objects cannot be identified by typical object recognizers as they are not included in common object recognition training datasets.
Teachable object recognition is an excellent example of a few-shot, high-variation scenario. Its few-shot because people can only capture a handful of short videos recorded to teach a new object. Most current machine learning models for object recognition require thousands of images to train. Its not feasible to have people submit videos at that scale, which is why few-shot learning is so important when people are teaching object recognizers from their own videos. Its high-variation because each person has only a few objects, and the videos they capture of these objects will vary in quality, blur, centrality of object, and other factors as shown in Figure 2.
While datasets are fundamental for driving innovation in machine learning, good metrics are just as important in helping researchers evaluate their work in realistic settings. Grounded in this challenging, real-world scenario, we propose a benchmark on the ORBIT dataset. Unlike typical computer vision benchmarks, performance on the teachable object recognition benchmark is measured based on input from each user.
This means that the trained machine learning model is given just the objects and associated videos for a single user, and it is evaluated by how well it can recognize that users objects. This process is done for each user in a set of test users. The result is a suite of metrics that more closely captures how well a teachable object recognizer would work for a single user in the real world.
Evaluations on highly cited few-shot learning models show that there is significant scope for innovation in high-variation, few-shot learning. Despite saturation of model performance on existing few-shot benchmarks, few-shot models only achieve 50-55% accuracy on the teachable object recognition benchmark. Moreover, there is a high variance between users. These results illustrate the need to make algorithms more robust to high-variation (or noisy) data.
Creating teachable object recognizers presents challenges for machine learning beyond object recognition. One example of a challenge posed by a human-centric task formulation is the need for the model to provide feedback to users about the data they provided when training in a new personal object. Is it enough data? Is it good-quality data? Uncertainty quantification is an area of machine learning that can contribute to solving this challenge.
Moreover, the challenges in building teachable object recognition systems go beyond machine learning algorithmic improvements, making it an area ripe for multi-disciplinary teams. Designing the feedback of the model to help users become better teachers requires a great deal of subtlety in user interaction. Supporting the adaptation of models to run on resource-constrained devices such as mobile phones is also a significant engineering task.
In summary, the ORBIT dataset and benchmark provide a rich playground to drive research in approaches that are more robust to few-shot, high-variation conditions, a step beyond existing curated vision datasets and benchmarks. In addition to the ORBIT benchmark, the dataset can be used to explore a wide set of other real-world recognition tasks. We hope that these contributions will not only have real-world impact by shaping the next generation of recognition tools for the blind and low-vision community, but also improve the robustness of computer vision systems across a broad range of other applications.
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Only 7% of Homeowners Use This Technology That Could Save Them Thousands – Motley Fool
Posted: at 11:44 am
Smart technologies can be found in more homes across America. In fact, around two-thirds of households have some type of smart home product such as a virtual assistant or a digital doorbell.
Despite the widespread popularity of these life-changing technological tools, homeowners are missing out on some of the most important smart home tools of all, according to a new survey conducted by Nationwide.
Here's the technology that American homeowners are missing -- which could save them thousands if they'd embrace it.
While smart home technology is incredibly popular, only 7% of homeowners who have these types of products have devices in their homes that are designed to predict and prevent water leaks, according to Nationwide's research. This technology includes smart sensors that are able to monitor the flow of water and detect leaks.
Not using this type of technology is a major missed opportunity because water leaks are both a common source of damage and a leading cause of expensive repairs due to the destruction that can result from a leak.
Because homeowners don't have these devices installed, they are at greater risk of being forced to make a home insurance claim, which would likely raise their future premiums. Not to mention they may also be left dealing with the hassle of repairs as well as out-of-pocket costs such as their insurance deductible.
"The No. 1 cause of avoidable claims for Nationwide homeowners insurance policyholders is non-weather related water loss, with most of those claims coming from pipe, fixture, or water heater leaks," said Beth Riczko, president of personal lines at Nationwide. "With the Insurance Information Institute reporting the average water damage and freezing event causes more than $11,000 in damage, homeowners should consider these types of sensors to provide an extra layer of protection."
Many homeowners don't have these devices installed because they are unaware of them. Just 27% of survey respondents said they were familiar with this type of new smart sensor. Cost and privacy concerns are also possible explanations for not having these sensors installed, but the upfront cost may be well worth paying, as installing this kind of smart technology could potentially help homeowners save significantly on their insurance premiums over time.
"Participating in Nationwides smart home program saves policyholders about 4% on their homeowners insurance premiums, but the savings are even greater when you consider the additional benefits of having a smart home device," said Riczko. "Alleviating the stress of having to get major damage fixed, reducing repair times, easing the anxiety you feel every time you leave the house -- that kind of peace of mind is priceless."
The good news is, Nationwide's survey found most homeowners would be willing to install the devices if they were aware of this opportunity to save, with 64% indicating they'd use insurance-based smart home technology if doing so reduced their insurance costs. Homeowners may also be able to qualify for both rebates and discounts on this type of smart home device, which could eliminate cost as a concern, too.
Anyone who owns a home should have a conversation with their insurance agent about whether a smart home device could save them money -- and if there are opportunities to qualify for a rebate to buy one. Installing this technology is simple, and the benefits could be well worth the cost and effort.
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RPA: Why you need to care about this totally unsexy technology – TechRadar
Posted: at 11:44 am
Robotic process automation, or RPA, is a technology with an identity problem. The name is both dry enough to make the eyes glaze over and confusing enough to obscure precisely what it is or might do.
As a result, very few people outside of the IT industry are familiar with the concept. Yet this is a technology expected to have a colossal impact on the working lives of pretty much all office-based employees, and at least an indirect impact on everyone else.
According to the latest projections from analyst house Gartner, the RPA market is set to be worth almost $2 billion this year - and many times more than that by the middle of the decade. And by the end of 2022, 90% of large companies will have deployed the technology in some way or form.
The sell is very simple: RPA is supposed to help businesses reduce the amount of time and money spent on repetitive manual tasks and, in turn, liberate employees from tedious administration. So, whats the catch?
Although RPA has been around for two decades now, the industry has experienced a major surge over the last few years, catalyzed by the need to drive efficiencies during the pandemic. The largest pure-play vendor right now is UiPath, with a revenue of $607 million in fiscal 2021, followed by Automation Anywhere and Blue Prism, but other IT firms are building RPA functionality into their products too.
In the simplest terms, RPA is about programming software to complete tasks by following a set of instructions. These units of software are referred to variously as digital workers, software robots and automation assistants.
A software bot is a configurable software designed to perform a task by learning, mimicking, and then executing rules-based business processes. It interacts with other applications and software systems to complete these business processes, just like a human would, explained Prince Kohli, CTO at Automation Anywhere.
In theory, RPA allows employees to spend less time punching data into Excel spreadsheets, processing documents and pulling information from CRM systems, and more time fulfilling the aspects of their roles that computers are (currently) unequipped to handle. These bots enable employees to take the robotic out of their work, Kohli added.
Although its easy to imagine how all businesses could benefit from the ability to automate tasks in this way, the earliest adopters have typically been large enterprises hailing from sectors required to perform the most repetitive administration, such as insurance, utilities, financial services and healthcare.
More recently, however, with the addition of artificial intelligence (AI) and low-code solutions to the mix, RPA deployments have become easier to configure and smart enough to handle more difficult assignments. Paul Maguire, Senior VP EMEA & APAC at software firm Appian, says these kinds of supporting technologies will create new use cases and bring RPA to a wider audience.
While RPA is great for task automation, its not appropriate for everything, he told us. This is where hyperautomation has a role to play, by combining technologies with people in a single workflow.
Implemented alone, RPA bots can be fast and relatively inexpensive, but they cannot handle exceptions or change. AI is a powerful tool to help collect and analyse information. It can also turn unstructured content into structured data to sort, prioritize, and make suggestions on best next-step actions for better decisions.
Nonetheless, however, RPA companies are to some extent struggling to communicate the benefits of their services to workers and businesses, who have learned to be suitably suspicious of grandiose promises.
The most common fear is that RPA will make a proportion of the workforce redundant, by automating functions currently fulfilled by human workers. Unsurprisingly, RPA vendors say this is a misconception, a product of pop culture representations of robots and AI, but it could be argued that the vendors themselves are equally to blame. Automation is almost always pitched as a way to free up staff to deliver value in new and creative ways, but the message is rarely more specific than that.
It is widely accepted that the rise of automation will change the configuration of the workforce and the day-to-day activities of employees, but there is some debate as to the extent of this change.
The picture painted by the vendors is that RPA will play a supporting role. Instead of eliminating jobs, RPA will shoulder all the loathsome manual tasks and reduce error rates by removing human fallibility from the equation, they say.
When we hear talk of employees being replaced by robots, it is often about unattended robots. The purpose of an unattended robot is to take a process and execute it by themselves, and no human is needed, explained Oded Karev of NICE, which deploys RPA in a call center context.
Attended robots, however, rely on man working with machine. The robot is installed on the employee desktop and becomes something akin to a virtual assistant to help boost performance.
Asked for specific examples that illustrate how RPA will change the lives of employees, the companies we spoke to explained the technology can be applied in any situation in which information is siloed or employees are burdened with data-handling tasks.
For example, Gavin Mee, MD Northern Europe at UiPath, says RPA allows accounting professionals to spend less time on bookkeeping and data gathering, and more time on deep analytics and advisory activities. And in a human resources context, software bots can handle tasks such as approving annual leave and logging sick days, while staff focus on relationship building and critical problem solving.
The customer services sector is also considered well-primed to benefit from RPA. The main role of agents is to engage with customers, but too much time is currently wasted seeking out and inputting information across multiple disparate systems, something a software bot can handle with relative ease.
While its plausible that increased efficiency will allow businesses to operate with leaner teams, leading to job cuts, all of these types of roles will still be held by human workers. The most significant change will be that their range of responsibilities will be quite drastically different.
Its also true that RPA will create a need for a number of brand new jobs. Namely, more IT staff will be needed to handle the configuration and maintenance of RPA systems, because its not quite as simple as setting up a software robot and letting it run free.
Although low-code solutions are making it easier for non-technical employees to deploy software robots, additional programming expertise will be required to configure bots for more complex workloads, monitor the performance of deployments and manage any errors and anomalies.
A recent survey conducted by UiPath suggests the majority (77%) of RPA professionals expect their organizations to hire more developers within the next year. A research report from the World Economic Forum (WEF) came to a similar conclusion, that automation will result in a net increase in 58 million jobs, albeit jobs with a higher average skill requirement.
In spite of their vested interests, the vendors we consulted all concede that businesses will encounter friction on multiple levels when it comes time to deploy RPA at scale. And the problem is as much cultural as technological.
One of the greatest barriers to widespread RPA adoption is the misunderstanding or even fear of the technology, explained Mee. Thanks to Hollywood blockbusters, the word robot often conjures up negative imagery, and when this is compounded with fears of redundancy, businesses can face resistance when embarking on an RPA journey.
Its a natural response; we tend to fear what we dont know, and a technology that promises to revolutionise the way we work forever is almost inevitably going to cause confusion and apprehension at first.
Mee and others say solving this problem is about approaching deployment in as transparent a way as possible; clearly communicating the intentions and ambitions behind the introduction of RPA, as well as the business benefits.
The angle from which organizations approach RPA is also important. Many large firms find it difficult to know where to begin, while others come looking for quick wins to help meet short-term productivity objectives, which can become a problem when scaling up deployments later on. The intermingling of RPA with other automation technologies, like AI and business process management (BPM), only adds further complexity.
As pointed out by Optiv Security, there are also cybersecurity risks associated with rushed or superficial RPA rollouts. Ultimately, RPA expands the attack surface, introducing many ways in and many ways out, says Optiv, which means implementation needs to be careful and considered.
In the end, however, the decision to lean into RPA or not may be taken out of the hands of business leaders, made practically compulsory by market conditions and the changing expectations of employees.
If there is a leader that is hesitant, I would ask them to consider what their knowledge workers would invent or improve if they had more time, and the business value that would immediately provide. And whether they face an existential risk if they do not provide that kind of support and experience to their customers and employees, said Kohli of Automation Anywhere.
In this scenario, the question is no longer whether it is right to forgo RPA in order to preserve jobs that can feasibly be automated, but whether businesses can afford to.
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RPA: Why you need to care about this totally unsexy technology - TechRadar
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NFL still not close to introducing ball-placement technology, following another week of controversial calls – CBS Sports
Posted: at 11:44 am
The outcry for a better way to spot footballs and determine if a ball has crossed the goal line intensified in Week 7, after there were several instances of tricky goal-line decisions in the Cowboys game at New England, with players and the ball being lost in the pile. But, there is no immediate solution on the horizon.
The NFL has been studying different mechanisms to attempt to be more precise with such matters for years, and spent a considerable amount of time determining if the laser technology used in professional tennis spotting might apply, but to this point there is no quick solution on the horizon. There is certainly support within the Competition Committee and the league in general to implement more calculated means of tracking the ball and determining first downs and other critical decisions, but much work remains to be done.
"As with all changes related to game administration, there is a process," Troy Vincent, the NFL's head of football operations, told me. "Ball-placement technology, along with other considerations for the sideline of the future, is under study, and will be tested, analyzed and discussed as to the impact of the game. At this time there is no definitive date for implementation."
At some point a change of this magnitude would likely begin with the NFL working in conjunction with another football entity (CFL, NCAA conference, perhaps even high school) to study the results in real time and hash out which technology works best, but even that doesn't seem to be particularly close.
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