Sentiment analysis is not entirely new. Businesses have been attempting to generate insights from various pieces of content for some time now. With automated data collection becoming more accessible, sentiment analysis can be done by nearly anyone. While it’s often used by research and development departments for product analysis or by finance institutions to drive […]
Active Learning and Its Benefits to Machine Learning Models
Supervised machine learning (ML) models such as classification models that are trained to predict the outcome of an instance (for example, approve or deny loan) are required to maintain high accuracy in production environment – making sure that there are more true positives, true negatives and fewer false positives, false negatives. In order to maintain optimal […]
Is Machine Learning a Good Fit for Your Product?
Click to learn more about author Juras Juršėnas. Not all machine learning applications have been met with resounding success. In fact, there’s a lot of disappointment involved. From overly ambitious projects to the expectation of ever being a finished product, machine learning is marred with false hope. I think Andrey Kurenkov has done a stellar […]
Scaling Machine Learning Applications
When the number of users for a predictive model grows, it is expected (albeit often wrongly) that the machine learning powered systems will automatically scale to keep up with this growth. If the system fails to scale, processing requirements may outpace performance. Using an example from a LinkedIn article, a sample recommender system fails to […]
Geminare Announces the Launch of mezzanine.ai
A recent press release reports, “Geminare, a leader in delivering data curation, resiliency and IT orchestration solutions, announced today the availability of mezzanine.ai as a standalone platform. Mezzanine.ai facilitates impactful, curated business outcomes through the use of readily available pre-trained machine learning models from key industry AI leaders including Google Cloud, IBM Watson, AWS and […]
Making Machine Learning Datasets Unbiased
Click to learn more about authors Dmitry Pozdnyakov and Olga Ezzheva Machine Learning (ML), a subset of a broader Artificial Intelligence (AI) field, is finding its way into more and more areas of application. From smarter shopping recommendations to better medical diagnosis to more effective fraud detection, businesses are leaning on ML to inject new […]
The AI Advantage in ITSM: Features and Use Cases
Click to learn more about author Ashwin Ram. Artificial Intelligence (AI) is making its way to IT Service Management (ITSM), promising to redefine the way things work. But will AI fulfill its promise and really make ITSM easier and more efficient? That’s what we’re exploring in this two-part series, “The AI Advantage in ITSM.” Earlier, […]
The AI Advantage in IT Service Management: AI at Work in ITSM
Click to learn more about author Ashwin Ram. With all the advances in the area of Artificial Intelligence (AI) and its widespread application across various disciplines, this new technology is making its way to IT Service Management (ITSM). ITSM has seen multiple waves of new technology, each promising to redefine the way things work. But […]
Managing Business Leadership Expectations Around the AI Hype
Click to learn more about author Oksana Sokolovsky and Rohit Mahajan. Like many technologies, AI is now in a full-scale hype cycle, both in the industry and the societal/consumer mainstream. While it’s nice to have broad interest and appreciation in what we technologists and Data Scientists are doing with AI, having the spotlight on it […]
Baidu Announces EZDL, a No-code Platform to Build Custom Machine Learning Models
According to a recent press release, “Baidu, Inc. today announced the product launch of EZDL, a no-code platform to build custom machine learning models. Geared towards small and medium businesses, it is gradually breaking down the barrier to allow everyone to access AI in the most convenient and equitable way… ‘EZDL is a service platform […]