기업의 미래를 바꾸는 AI 플랫폼
[케이스 스터디를 통해 알아보는 실전 도입 전략]
Microsoft AI, Azure AI에 대한 설명과 데모를 바탕으로 AI의 이해를 도모하고 실제 사례를 통해 정확한 역할 및 필요성에 대해 살펴보겠습니다.
클라우드컨설팅-운영-관리까지 한번에!
베스핀글로벌의 클라우드팀은 깊은 지식과 전문성을 보유했습니다.
630여명 클라우드 전문가 / 1000여명 글로벌 클라우드 전문가 네트워크 / 한국, 중국, 북미, 유럽에 클라우드 전문 등
전문적이고 충분한 네트워크를 통해 글로벌 환경에도 유연하게 대응할 수 있습니다.
4. Amplifying human ingenuity
AI isn’t just another piece of technology. It could be
one of the world’s most fundamental pieces of
technology the human race has ever created.
- Satya Nadella
9. Use any language, any development
tool and any framework
>90% of Fortune 500 companies
use Microsoft Cloud
Benefit from industry-leading security, privacy,
compliance, transparency, and AI ethics standards
On-premisesEdgeCloud
Innovate with AI everywhere –
in the cloud, at edge and on-premises
Accelerate time to value
with agile tools and services
Powerful
tools
Pretrained AI
services
Comprehensive
platform
13. Bot Service
Infuse your apps with powerful, pre-
trained AI models
Customize easily and tailor to your needs
Use language of your choice
Accelerate bot development with an integrated
environment and pre-built templates
Engage your audience easily across multiple
channels
Vision Speech Language Search
…
21. 80% completion rate and 4%
increase in views achieved through
automatic video recommendation
based on article content
70% of the 600 million technical
support cases per year are handled
by AI
200,000 customers get information
on shipments, rates, and UPS locations
with the customer service chatbot
28. Sophisticated pretrained models
To simplify solution development
Azure
Databricks
Machine Learning
VMs
Popular frameworks
To build advanced deep learning solutions TensorFlow KerasPytorch Onnx
Azure
Machine Learning
LanguageSpeech
…
SearchVision
On-premises Cloud Edge
Productive services
To empower data science and development teams
Powerful infrastructure
To accelerate deep learning
Flexible deployment
To deploy and manage models on intelligent cloud and edge
29. Accelerate deep learning
General purpose machine
learning
D, F, L, M, H Series
CPUs
Optimized for flexibility Optimized for performance
GPUs FPGAs
Deep learning
N Series
Specialized hardware
accelerated deep learning
Project Brainwave
30. Deploy and manage models on intelligent cloud and edge
Train & deploy Train & deploy
Deploy
Track models in production
Capture model telemetry
Retrain models automatically
31. 13M personalized experiences with
33 orders/second
85% savings in risk calculation &
under-writing costs
50% lower loan defaults
$300k/day cost savings with
predictive maintenance