Learning Data Science Techniques With IBM Watson Studio Modeler
When it comes to learning data science, one of the challenges we face is just how seemingly daunting the field is to learn. There are so many techniques, tactics, and strategies that it’s difficult to know where to start. Learning something new always begins...IBM THINK 2020 Digital Experience: Day 2 Review
Day 2 of THINK 2020 was much more meat and potatoes, from use cases for AI to process automation. Rob Thomas, SVP Cloud and Data, showed a fun stat that early adopters of AI reaped a 165% increase in revenue and profitability, which was nice affirmation. But the big...IBM THINK 2020 Digital Experience: Day 1 Review
We look back at day 1 of the IBM THINK Digital Experience. Completely different from the in-person experience, but neither better nor worse. Highlights: – AI for IT – complexity of systems – Rob Thomas on a more layperson-friendly Watson Studio...You Ask, I Answer: Data Science Tools for Marketers?
Monina asks, “What tools are useful to help marketers dig deep into their organization’s data?” The answer to this question depends on the level of skill a marketer has in data science, specifically the technical and statistical skillsets. I’d...You Ask, I Answer: Multi-Objective Optimization for IBM Watson Studio AutoAI?
Arjuna asks, “Could you please suggest an approach to forecast multiple targets (e.g., is there a way to select multiple columns in AutoAI). In our use case, we need to develop time series forecasts for multiple products. If we correctly understood AutoAI, it...AI for Marketers Book
In this all-new, completely-rewritten 2nd Edition of AI for Marketers, learn:
- What AI is and isn't
- 5 practical applications of AI in marketing
- Key questions to ask of any vendor claims about AI
- How to prepare your company and your career for AI
