The document discusses the growing commercialization and adoption of machine learning and artificial intelligence. It notes that companies like Google and Facebook are heavily investing in machine learning and that techniques like convolutional neural networks are being rapidly embraced. It also suggests that businesses are experimenting with using machine intelligence across their operations to address real-time challenges and gain insights from big data through techniques like predictive modeling and stream computing.

1. machine intelligence
chris arkenberg | @chris23

2. “The core thing Google is
working on is basically
machine learning."
– Eric Schmidt, Chairman Google
“The innovation we are most
excited about is the ‘prediction’
phase — the ability to process
the information we’ve
collected, learn patterns, and
predict unknowns based on
what we’ve already seen.”
- Peter Levine, a16z“The speed at which people
have embraced
[convolutional neural nets]
is nothing short of
amazing. I’ve never seen
anything like this before.”
–Yann LeCun, Director of
Facebook AI Research

3. everything
And machine intelligence
is following
Compute is getting into

4. Big Data is the feedstock for hungry machine intelligence

5. The commercialization
of machine intelligence
is stirring up a new wave
of digital transformation

6. machine intelligence across their value chains
enabling high-resolution sensing,
modeling complex systems,
and engineering enterprise-scale learning
at machine speeds
Businesses are now experimenting with

7. to address real-time
IT infrastructure is evolving
stream computing

8. Predictive modeling moves us
into the rapidly-unfolding present
with a sharper eye towards
the future

9. Software is undergoing a fundamental shift
from doing only what we tell it,
to using context and probability
for autonomous decision-making

10. machine intelligence
chris arkenberg | @chris23
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