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HOW DO YOU
EMBRACE THE MACHINE?

Accept that artificial intelligence (AI) will change your life and your job — dramatically.

Learn the difference between AI, machine learning, robots, bots, IoT, and simple automation — and you learn as much as you can about each of them. (You avoid “AIwashing” — simply using the term because it sounds cool and tech-y.)

Gain the insights and skills you need to stay smart & engaged in an AI-powered world. Many jobs will become obsolete. Others will become more central and critical to an organization’s success. Be among those humans who prosper!

HOW DO YOU
EMBRACE THE MACHINE?

Accept that artificial intelligence (AI) will change your life and your job — dramatically.

Like this site? You’ll love our book!

Order it today — paperback or Kindle.

Like this site? You’ll love our book!

Order it today — paperback or Kindle.

POSTS

Khan Academy

Meet Khan Academy WHY? Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace. Their detailed mission guides allow anyone to learn. The topics range from the basics to...

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Root

Meet Root WHY? Made by Harvard, this little robot aims to teach young children how to code! Designed with magnets and over 50 sensors, Root’s favorite games are to follow lines, avoid certain colors, solve mazes or race along a track. These functions are all programed...

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George Couros

Meet George Couros WHY? George is a teacher, learner and the writer of The Innovator’s Mindset. His book drives to inspire leaders and innovators to go beyond what they know. As a teacher, he believes that his classrooms should have a distributed leadership system in...

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Dash and Dot

Meet Dash & Dot WHY? Two witty robots are always better than one. Dash and Dot are two robot “friends” designed to interact with children in classrooms. Based on the student’s learning level, Dash and Dot can be programed by multiple different applications, some...

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SmartEd

Meet SmartEd WHY? SmartEd’s Classroom specific platform is changing the way teachers educate children K-12. A teacher is able to grade and plan a workspace specifically for each child, based on a database of proven-effective technicals. For example, if a student needs...

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Norman Bier

Meet Norman Bier WHY? Imagine a space where educational excellence and technology intersect. Norman Bier likes to call this space OLI, or Carnegie Mellon’s Open Learning Initiative. He is the director of this online learning and teaching space, bringing high quality...

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Cliff Tironi

Meet Cliff Tironi WHY? Most college students dread the day they receive their grades. Cliff Tironi is changing those moments into teaching moments. He is a Manager of Performance Analytics at the Fox School of Business, Temple University and also the co-founder of...

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ConnectPath

Meet ConnectPath WHY? A large portion of a high schooler’s life is trying to get into a college. Everyone knows this process is the most stressful and difficult part of a junior’s year. ConnectPath’s AI and platform were created to make college admissions a breeze....

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iClicker

Meet iClicker WHY? A very common technology that's changing the classrooms at college is the iClicker! Easy to use, this remote allows lecturers to engage with hundreds of students all at once. The platform collects stats and accounts for attendance! Just one more...

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Mondopad

Meet Mondopad WHY? Higher learning and education doesn't have to be in a classroom full of college students. In certain universities teachers are emphasizing the importance of collaboration anywhere, anytime. Thanks to Mondopad, a touch screen collaboration system,...

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TERMS

AI:

The ability of machines to behave like intelligent humans, including visual perception, speech recognition and translation, and evolving, iterative and contextual decision-making.


Robots:

Any machine that can perform a complex — often physical — task. They come in many shapes and sizes. This is our favorite overview of robot types.


Machine Learning:

A type of AI, it enables computers to learn, often through human-
controlling algorithms and APIs. Machines detect patterns and adjust themselves accordingly. Their “thoughts” and ensuing “actions” are essentially programmed.

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