February Data Science Boot Camp Series: Let IBM Experts Sharpen Your Data Science Skills

Global AI & Data Science

Train, tune and distribute models with generative AI and machine learning capabilities

 View Only

Join four live webinars in February to learn from IBM experts 1) how to monitor and improve AI outcomes, 2) integrate AI models with apps, 3) operationalize prediction and optimization at scale, and 4) automate AI lifecycle management. 

Invite your clients and prospects!


Each Tuesday in February, set aside an hour at noon Eastern/9am Pacific and let IBM experts boost your data science skills in four hot topic areas. Register for any or all of the webinars here.

Why attend? 

We know you move fast and like to learn from the best.  Join our IBM data science experts live to

  •  brush up on the basics of using data science
  •  get up to speed on new innovations
  •  get live answers to all your questions

Take your data science and AI initiatives up a notch by learning how to use the newest features from IBM Data Science such as Cloud Pak for Data, Watson Studio, Watson Machine Learning and Watson OpenScale.

Register now and get ready to fast-track your success in data science and AI.


Feb 6:
Outcome-driven tips to get more from your AI models

Feb 13: Seven considerations when bringing models and apps together

Feb 20: From data-driven to model-driven: transforming your data science initiatives

Feb 27: Automating AI lifecycle management for beginners to experts

Talk Descriptions and Speakers: 

February 6: Outcome-driven tips to get more from your AI models

Have you ever wondered why models are drifting from the results you want? Would you like to easily monitor model performance, with real-time feedback that helps you finetune models? Are you spending too much time explaining how models are built or performing? Our February 6 webinar takes you through a business-driven approach to AI, and it includes how to ensure explainability, fairness and transparency during runtime, while optimizing business results.

Presenter: Erik Martens, Digital Technical Engagement Lead, Watson OpenScale
Connect on LinkedIn

February 13: Seven considerations when bringing models and apps together

Leaders are investing in hardcore data scientists and bringing DevOps and data science teams together. Operationalizing the process of delivering prediction and optimization at scale is challenging yet rewarding if you can scale.  In our February 13 webinar, learn seven considerations that will help you succeed in feeding and optimizing models for your cloud-native app at scale.

Presenter: Nerav  Doshi, Digital Technical Engagement Lead, Cloud Pak for Data | Decision Optimization
Connect on LinkedIn

February 20: From data-driven to model-driven: transforming your data science initiatives

Many organizations that successfully deployed analytics are advancing their approach to go beyond traditional insight generation. The ability to adopt a model-driven approach and operationalize prediction and optimization at scale will transform your business in a profound way. Our February 20 webinar features LPA, an IBM Business Partner. LPT Chief Technology Officer David Russell will share success stories and lessons learned from real-world implementations of AI and data science.

Presenters:


David Russell, Chief Technology Officer, IBM Business Partner, LPA
Connect on LinkedIn



Julianna Delua,  Data Science and AI SME, Cloud Pak for Data and Watson Studio, IBM
Connect on LinkedIn

February 27: Automating AI lifecycle management, with tips for beginners to experts

Automating AI lifecycle management is a game changer for any organization. AutoAI helps everyone from beginners to experts use automation as an enabler in data prep, model creation, deployment, management, and optimization. Our February 27 webinar will show you the advantages of using AutoAI for a steps that include model exploration, model selection and comparison, and deployment in cloud native apps. See how AutoAI simplifies the onboarding of new talent and cross-training of existing talent.

Presenter: Jacques Roy, Digital Technical Engagement Lead, Watson Studio and Watson Machine Learning
Connect on LinkedIn


#GlobalDataScience