Articles
Tag: ml
-
Dealing With AI Biases, Part 2: Inherited Biases From Data
One major roadblock continues to prevent enterprises from realizing AI’s full potential — the fear and distrust of biased AI.
Continue reading...
-
The Role of Synthetic Data in Emerging Digital Workplace Technologies
With enterprises looking for more and more data to enable cutting-edge technology, many are turning to synthetic data to make up for shortfalls.
Continue reading...
-
Machine Learning Trends for Marketers to Watch in 2022
Machine learning research is progressing at a startling pace, with downstream implications for marketers and businesses alike.
Continue reading...
-
Getting Smart Answers With Intelligent Search
Getting enterprise search right is hard, but it's starting to reap the benefits from advances in machine learning and AI.
Continue reading...
-
Is 2022 the Year We Get Good at Creating 1:1 Customer Experiences?
Marketers have been talking about personalization for years, so why haven’t all brands perfected it?
Continue reading...
-
Human-Machine Collaboration in 2021: The Machines Are Ready. Is Your Business?
Human-machine collaboration is where we are today, and it isn't about technology. This is about a mind shift in how businesses approach how we work.
Continue reading...
-
Where Is the ROI in Artificial Intelligence Deployments?
Businesses are turning to AI for a competitive edge. However, AI is expensive, requires considerable investment and ROI is not guaranteed.
Continue reading...
-
Why AutoML Is Emerging as a Key Digital Workplace Technology
As AI is gaining traction in the enterprise so too is AutoML, or automated machine learning. Here's is how it's adding value to the process.
Continue reading...
-
Marketers: Choose the Right Performance Metrics in Machine Learning Models
Understanding how overfit and underfit work in data modeling can help marketers work better with technical teams when selecting data for ML models.
Continue reading...
-
Balancing the Opportunities and Risks of Machine Learning
Machine learning-based systems bring the potential for business growth, but also carry some challenges and risks. Being aware of the latter is the first step.
Continue reading...
-
A 5-Step Approach to Implementing Machine Learning
Use the VDOCR model to build your ML implementation plan: Vision, Data, Organizational alignment, Change management and Revalidation.
Continue reading...
-
Facts vs. Fiction: Artificial Intelligence in Digital Marketing
Imagine if your digital marketing tools had the capacity to predict the future. What would you do with that crystal ball?
Continue reading...
-
Getting Started With Designing Effective Conversational AI
Designed well, conversational AI delivers seamless customer experiences. Designed poorly, conversational AI can result in frustrated customers.
Continue reading...
-
Machine Learning Simplified: Building an Understanding
Most organizations are still at the point where machine learning as a technology remains in the realm of research and exploration.
Continue reading...
Displaying 1-14 of 29