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תוכן מסופק על ידי Thomas Riley and TE Connectivity. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Thomas Riley and TE Connectivity או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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AI 101: How Artificial Intelligence Is Driving Innovation

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Manage episode 337468502 series 3381653
תוכן מסופק על ידי Thomas Riley and TE Connectivity. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Thomas Riley and TE Connectivity או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Everyone knows the term artificial intelligence, or AI,, and some may understand the impact it has on their lives to varying degrees. But what exactly is AI, and what role is it playing today and into the future?

At TE Connectivity, Chris Blackburn, Technologist on the System Architecture Team, helped break down artificial intelligence for host Tyler Kern.

“AI is everywhere around us in the world,” Blackburn said. “Most of us are familiar with devices in our homes, such as voice assistance like Alexa and Siri. Artificial intelligence is a way for machines to learn and generate data by themselves.”

Up to now, the majority of use cases for AI could be found in the marketing realm to find ways for the right products to reach the right consumers based on consumer behavior on social media and in eCommerce shopping.

“Recommendation engines are one of those primary use cases,” Blackburn said.

Blackburn said AI is beginning to show up in oil and gas exploration, mining and natural resource extraction, farming, and food production.

One of the benefits of AI is its ability to learn from new data, make inferences based on previous data and continue to get smarter. But with advancements come new challenges to solve.

How can we store and transfer massive amounts of data and make it accessible to these machines for learning?

“In the past, 10 to 20 years ago, a lot of the data created in the world was human-generated,” Blackburn said. “And, now, we’re moving into this era of machine-generated data. It’s an absolute data explosion, and it is certainly influencing how we’re building system architecture to handle it.”

  continue reading

36 פרקים

Artwork
iconשתפו
 
Manage episode 337468502 series 3381653
תוכן מסופק על ידי Thomas Riley and TE Connectivity. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Thomas Riley and TE Connectivity או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Everyone knows the term artificial intelligence, or AI,, and some may understand the impact it has on their lives to varying degrees. But what exactly is AI, and what role is it playing today and into the future?

At TE Connectivity, Chris Blackburn, Technologist on the System Architecture Team, helped break down artificial intelligence for host Tyler Kern.

“AI is everywhere around us in the world,” Blackburn said. “Most of us are familiar with devices in our homes, such as voice assistance like Alexa and Siri. Artificial intelligence is a way for machines to learn and generate data by themselves.”

Up to now, the majority of use cases for AI could be found in the marketing realm to find ways for the right products to reach the right consumers based on consumer behavior on social media and in eCommerce shopping.

“Recommendation engines are one of those primary use cases,” Blackburn said.

Blackburn said AI is beginning to show up in oil and gas exploration, mining and natural resource extraction, farming, and food production.

One of the benefits of AI is its ability to learn from new data, make inferences based on previous data and continue to get smarter. But with advancements come new challenges to solve.

How can we store and transfer massive amounts of data and make it accessible to these machines for learning?

“In the past, 10 to 20 years ago, a lot of the data created in the world was human-generated,” Blackburn said. “And, now, we’re moving into this era of machine-generated data. It’s an absolute data explosion, and it is certainly influencing how we’re building system architecture to handle it.”

  continue reading

36 פרקים

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