AI Articles and Analysis about Business intelligence and analytics

Meta Platforms Inc. (herein, “Meta”), was known as Facebook up until 2021. Mark Zuckerberg states that the new brand embodies his strategic plan to create a “metaverse” for its customers using AI and VR technology. 

NVIDIA is a multinational company known for its computing hardware, especially its graphics processing units (GPUs) and systems on chip units (SoCs) for mobile devices. The company went public on January 22, 1999.

Intel was founded in 1968 by Robert Noyce and Gordon Moore, who had previously been among the founders of Fairchild Semiconductors. Today, Intel employs over 121,000 people worldwide. In its 2021 annual report, the company reported revenues of $79 billion. As of 2022, Intel trades on the Nasdaq (Symbol: INTC) with a market cap that exceeds $178 billion.

Dick and Mac McDonald opened the first McDonald’s restaurant in San Bernardino, California in 1940. By the end of the decade, the restaurant added its now-famous French fries. Ray Kroc joined the growing organization in 1954, purchased it in 1961, and served as its CEO into the early 1970s. Over the next decades, the restaurant chain grew, adding its drive-thru concept, Hamburger University, and iconic menu items like its Filet-O-Fish, Big Mac, and Quarter Pounder sandwiches. 

Netflix launched in 1997 as a mail-based DVD rental business. Alongside the growing US DVD market in the late 1990s and early 2000s, Netflix’s business grew and the company went public in 2002. Netflix posted its first profit a year later. By 2007, Netflix introduced its streaming service, and by 2013, the company began producing original content.

Toyota came to the United States in the late 1950s, setting up its US headquarters in California. A decade later, the Japanese automaker became the third-largest import brand in the United States. In 1968, Toyota introduced the Corolla, now the world’s best-selling passenger car. Today, Toyota is rebranding itself as a mobility company. 

As far back as 2018 when we surveyed over forty banking industry leaders to discover the biggest issues with AI adoption, enterprise culture was already emerging as top of mind. Since then, we have found similar frustrations around enterprise culture in every industry. More than lack of data science talent, lack of appropriate culture serves as the largest and most consistent barrier to adoption.

This article has been sponsored by iMerit Technology and was written, edited, and published in alignment with Emerj’s sponsored content guidelines.