Making It! Minority Success Stories

Making It! Minority Success Stories is a weekly, half-hour magazine format television show that showcases the stories of small business owners from across the United States with emphasis on minority and women entrepreneurs. Since its premiere in March 1989 on Los Angeles KTLA, it has featured over 1000 entrepreneur stories. Nelson Davis, the executive producer and founder of Nelson Davis Television Productions, created the show to highlight the triumphs, challenges, and contributions of minority entrepreneurs.

Making It! Minority Success Stories
Country of originUnited States
Production
Executive producer(s)Nelson Davis
Running time30 minutes
Production company(s)Nelson Davis Television Productions
Release
Original networkKTLA-TV Los Angeles
Original releaseMarch 1989 – present
External links
Website

The program airs Sunday mornings on Los Angeles KTLA and Sunday mornings on San Diego KSWB, and is seen nationwide through carriage on cable systems and satellite.

Format

The format of Making It! features two entrepreneurs' stories in each episode. Episodes begin with the segments being introduced from a set at the KTLA studio by the on-air hosts, Emmett Miller and Lynette Romero. The profiles of the entrepreneurs and their stories are videotaped on location. In addition, business experts from organizations such as the SBA, Minority Business Associations, Chambers of Commerce, and other resources provide information and perspective.

Awards and nominations

The program has received over 30 awards from all levels of business and government including four Emmy Awards for best Public Affairs Series and the Media Advocate Award from the Small Business Administration.

Correspondents and hosts
  • Emmett Miller (co-host, 2006 – present)
  • Lynette Romero (co-host, 1998 – present)
  • Errol Smith (correspondent, 1997 – present)
  • Xiomara Galindo (correspondent, 1997 – present)
  • Larry McCormick (co-host, 1989–2006)
  • Minerva Perez (co-host, 1989–1992)
gollark: Training will be slow but we can do inference fast if I use AVX or something and a small model.
gollark: Not necessarily!
gollark: Probably actually having to read the papers can, but still.
gollark: You can't stop me.
gollark: Fine, I'll just use DEEP LEARNING™.

References
    This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.