WHY BUSINESSES SELECT AI DYNAMICS
Technology
- Easy to use – makes AI accessible to all engineers
- Accepts all data types
- High-performance image and video analysis
- Can solve 80%+ of machine learning problems
- Multiple scalable deployment options
- Governance – you have full control of your AI system
- Versatile – build a model on any platform and run it on any other platform with an installed NeoPulse Runtime engine
- Rapid prototyping
Service
- Exceptional services to accelerate ML adoption and augment DM technologies
- Integration support
- Training – get access to a wide range of training tools including online video training, online documentation, onsite training classes and “NeoPulse Certified Engineer” advanced training programs
- Consulting: Get access to world-class machine learning engineers who can provide any level of support for you to build your own AI models
- SaaS capabilities to run your model in the cloud and access it with a simple API call
why businesses select AI Dynamics
Pricing
- Highly competitive pricing on-premise and in the cloud
- Edge Devices: volume pricing to run NeoPulse models on a wide range of low power devices with or without network connectivity
- Great ROI compared to other market offerings
- Scales with the enterprise
People
- Extensive enterprise computing background
- Multiple PhDs
- Over 20 years of R&D
- Alumni of HP, Microsoft, Intel, Los Alamos, and others
Jumpstart Services
1-day training
NeoPulse® JumpStart Training and Model Building Service Offer:
- Two hour consultation session: what is the right question to ask to address the business challenge?
- One-day training
- Build one custom model Proof of Concept (PoC)
- Using AI Dynamics (TMO) Professional Services and NeoPulse Studio to overcome the challenges of evaluating AI solutions.
- AI Dynamics experts will guide the process in a fast track approach from PoC to deployment.
4-day training
DAY 1: AI Readiness
Topics include everything from assessing processes to identify AI opportunities to AI Governance.
Day 2: Data science fundamentals & intro to deep learning
Topics include basic statistics, basics of data science needed to create data sets for training, and evaluation of a training data set.
DAY 3: Intermediate hands-on lab
Topics include – Introduction to NeoPulse Studio & NML, how to integrating NeoPulse into enterprise workflows, and building and deploying models using NeoPulse Studio.
DAY 4: Advanced machine learning
Topics include – NML constructs, improving speed and accuracy of model, fine-tuning models, and advanced neural network design.
PoC Training
- Business Challenge – where to apply AI?
- Identify a business problem that can be addressed using AI
- Data Science: A Data Set for analysis
- Can an available data set be used by an AI model to solve the business problem?
- Is the data in the cloud or local?
- PoC’s are often done with data in .csv
- A PoC AI Model is built and results are shared
- depending on the complexity of the model and the size of the training data set, the timing is typically 1-2 weeks
- Transition to a production solution
- Services to provide a high-level Project Plan to transition PoC to a production-ready version of the model.
- Integrate the new AI model into an existing application or workflow to infuse it with deep learning
- Summarize next steps of deploy, rollout, and support based on a “Go or No Go” Decision
NeoPulse® Certified Engineer Program
WHY
- NeoPulse is a powerful platform to automate AI solution building within the enterprise
- Using NeoPulse, enterprises can build AI solutions for cloud, on-premise, and IoT devices
- Already, there are several examples of companies using NeoPulse to accelerate AI development and engineering achieving 90% cost reductions
BENEFITS
- Become an AI Dynamics recommended provider for services
- Join the global NeoPulse network of AI solution providers
- Access a portal with the latest in machine learning research, news and updates, machine learning lessons, and practical how-to guides
- Advanced preview of NeoPulse products and services
- Full developer documentation, sample code and data, and example AI models
- Discounts on AI Dynamics seminars and workshops
QUALIFICATIONS
- Complete a one-week hands-on training session
- Pass the qualifying exam
- Complete 25 Certification Education Credits (CECs)* in one calendar year
- The certification is valid for three years from the completion of the qualifying exam
*Continuing Education Credits can be earned in the following ways:
- Demonstrating case studies using NeoPulse in production settings in any industry for any problem
- Contributing to the NeoPulse Modeling Language (NML) Open Source Initiative
- Doing active research using NeoPulse Studio demonstrated by papers published in reputable journals, talks at major conferences, or research grants
- Taking AI Dynamics offered courses
CLASS OVERVIEW
PART ONE
- Machine learning overview
- Case Study One & Analysis
- Case Study Two
- Introduction to NeoPulse
- Implementing Enterprise Machine Learning Solutions
PART TWO
- The Challenge of Data
- The Mathematics of Machine Learning
- Feed-forward networks
- Backpropagation
- Gradient Descent
- Learning Rate
- Momentum
- Evaluating Results
PART THREE
- Convolutional Neural Networks
- Recurrent Neural Networks (RNN)
- Long Short Term Memory (LSTM)
- Unsupervised Learning
- Principal Component Analysis (PCA)
- K-Means Clustering
- Auto-regression
- Self Organizing Maps (SOM)
- Support Vector Machines (SVMs)
- Reinforcement Learning & Generative Adversarial Networks (GANS)
PART FOUR
- Introduction to NeoPulse
- The NeoPulse Modeling Language (NML)
- Constructs
- Data Generators
- NML Programming
- Retraining
- NeoPulse APIs
- Resources
- Labs
- Exam
Washington State
main office
2018 156th Ave NE,
Building F, Suite 119, Bellevue, WA, 98007, United States
Japan, Tokyo
office
Shiodome Building, 3/F, 1 Chome-2-20 Kaigan, Tokyo 105-0022, Japan
