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Insights into the new computing model
DEEP LEARNING TOP 5
April 20th, 2018
DEEP LEARNING IS THE FASTEST-GROWING
FIELD IN ARTIFICIAL INTELLIGENCE (AI)
AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE
COMPANIES ADOPT DEEP LEARNING TO ACCELERATE
THEIR BUSINESSES…
TOP 5
1. The 5 AI basics every business executive needs to understand right now
2. NVIDIA and Canon Medical Systems announce partnership to accelerate the use of AI in
healthcare
3. Auditors use AI to tackle accounting fraud
4. Risk managers can assess and limit the risk in M&A with AI
5. MIT and Stanford researchers develop AI system that processes sounds as well as humans
THE 5 AI BASICS EVERY BUSINESS EXECUTIVE SHOULD KNOW
AI is not about technical analysis, it is
about leveraging data and machine
learning to drive business success.
“Without business leadership, AI
success in business will only be random
and limited – which is why active,
proactive involvement of business
leadership is critical.
1
Source: https://www.forbes.com/sites/nvidia/2018/04/04/the-five-ai-basics-every-business-executive-needs-to-understand-right-now/#6ba2a7ce7067
READ ARTICLE
NVIDIA AND CANON MEDICAL SYSTEMS PARTNER TO ADVANCE HEALTHCARE
Imaging providers worldwide may soon
have access to a single source of AI-
powered continuous updates for their
existing install bases in the form of a
single, virtual supercomputer.
As reported by Healthcare Business Daily
News, Canon Medical Systems will
leverage NVIDIA’s DGX systems to
process medical data generated by
Canon’s in-house medical data
management system, Abierto VNA.
2
Source: https://www.dotmed.com/news/story/42446
READ ARTICLE
AUDITORS USE AI TO TACKLE ACCOUNTING FRAUD
Accounting fraud has long eaten into the
revenue of some businesses, but auditors are
enlisting a new defensive tool: artificial
intelligence.
A typical organization can lose 5 percent of
its annual revenue to fraud, according to an
estimate from the Association of Certified
Fraud Examiners. Businesses are putting AI on
the task of anomaly detection in an effort to
staunch losses.
3
Source: https://blogs.nvidia.com/blog/2018/04/16/finding-fraud/
READ BLOG
RISK MANAGERS CAN ASSESS AND LIMIT RISK IN M&A WITH AI
A company that has joined another is almost
always saddled with data that’s not so easy to
organize and categorize. Most obviously, GPUs
bring speed to the equation – and speeding up the
process translates to identifying — and mitigating
— risks sooner.
“We’re just trying to give users a tool to learn
about data,” said Jonathan Bailey, vice president
of analytics at Congruity360. “We want to see if
there’s any risky data in there.”
4
Source: https://blogs.nvidia.com/blog/2018/04/19/ai-assess-merger-risk/
READ BLOG
RESEARCHERS DEVELOP AI SYSTEM THAT PROCESSES SOUND
LIKE HUMANS
The method, which is the first model of its
kind, can replicate listening tasks such as
identifying a musical genre or identifying
words. The researchers built the model to
shed light on how the human brain may be
performing listening tasks.
The hope is that it’s learning something
general, so if you present a new sound that
the model has never heard before, it will do
well, and in practice that is often the case.
5
Source: https://news.developer.nvidia.com/ai-system-understands-music-like-humans-do/
READ BLOG
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Top 5 Deep Learning and AI Stories - April 20, 2018

  • 1. Insights into the new computing model DEEP LEARNING TOP 5 April 20th, 2018
  • 2. DEEP LEARNING IS THE FASTEST-GROWING FIELD IN ARTIFICIAL INTELLIGENCE (AI)
  • 3. AS AI TECHNOLOGIES CONTINUE TO IMPROVE, MORE COMPANIES ADOPT DEEP LEARNING TO ACCELERATE THEIR BUSINESSES…
  • 4. TOP 5 1. The 5 AI basics every business executive needs to understand right now 2. NVIDIA and Canon Medical Systems announce partnership to accelerate the use of AI in healthcare 3. Auditors use AI to tackle accounting fraud 4. Risk managers can assess and limit the risk in M&A with AI 5. MIT and Stanford researchers develop AI system that processes sounds as well as humans
  • 5. THE 5 AI BASICS EVERY BUSINESS EXECUTIVE SHOULD KNOW AI is not about technical analysis, it is about leveraging data and machine learning to drive business success. “Without business leadership, AI success in business will only be random and limited – which is why active, proactive involvement of business leadership is critical. 1 Source: https://www.forbes.com/sites/nvidia/2018/04/04/the-five-ai-basics-every-business-executive-needs-to-understand-right-now/#6ba2a7ce7067 READ ARTICLE
  • 6. NVIDIA AND CANON MEDICAL SYSTEMS PARTNER TO ADVANCE HEALTHCARE Imaging providers worldwide may soon have access to a single source of AI- powered continuous updates for their existing install bases in the form of a single, virtual supercomputer. As reported by Healthcare Business Daily News, Canon Medical Systems will leverage NVIDIA’s DGX systems to process medical data generated by Canon’s in-house medical data management system, Abierto VNA. 2 Source: https://www.dotmed.com/news/story/42446 READ ARTICLE
  • 7. AUDITORS USE AI TO TACKLE ACCOUNTING FRAUD Accounting fraud has long eaten into the revenue of some businesses, but auditors are enlisting a new defensive tool: artificial intelligence. A typical organization can lose 5 percent of its annual revenue to fraud, according to an estimate from the Association of Certified Fraud Examiners. Businesses are putting AI on the task of anomaly detection in an effort to staunch losses. 3 Source: https://blogs.nvidia.com/blog/2018/04/16/finding-fraud/ READ BLOG
  • 8. RISK MANAGERS CAN ASSESS AND LIMIT RISK IN M&A WITH AI A company that has joined another is almost always saddled with data that’s not so easy to organize and categorize. Most obviously, GPUs bring speed to the equation – and speeding up the process translates to identifying — and mitigating — risks sooner. “We’re just trying to give users a tool to learn about data,” said Jonathan Bailey, vice president of analytics at Congruity360. “We want to see if there’s any risky data in there.” 4 Source: https://blogs.nvidia.com/blog/2018/04/19/ai-assess-merger-risk/ READ BLOG
  • 9. RESEARCHERS DEVELOP AI SYSTEM THAT PROCESSES SOUND LIKE HUMANS The method, which is the first model of its kind, can replicate listening tasks such as identifying a musical genre or identifying words. The researchers built the model to shed light on how the human brain may be performing listening tasks. The hope is that it’s learning something general, so if you present a new sound that the model has never heard before, it will do well, and in practice that is often the case. 5 Source: https://news.developer.nvidia.com/ai-system-understands-music-like-humans-do/ READ BLOG
  • 10. SUBSCRIBE NOW GET THE LATEST ON AI & DEEP LEARNING STRAIGHT TO YOUR INBOX