No-code, low-code & automation The idea of “no-code” software has become increasingly popular in a variety of fields. The world of AI and Machine Learning (ML) development is no different. Platforms that attempt to make the process of developing AI and ML models more intuitive, less “code-heavy,” and more ubiquitous are gaining in popularity. The challenge of developing AI and ML models is one that screams for no-code or low-code solutions. AI failure rates are notorious – whether it’s VentureBeat reporting 87% failure rates for data science projects in 2019 or Gartner reporting in 2021 that only 53% of AI projects make it into production – even in AI-experienced organizations. While there are many challenges to successfully moving from “experiments” to “ROI” in the world of AI and ML, one of the biggest obstacles is the sheer complexity of the development process. In the world of AI and ML development, “No-Code” and “Low-Code” solutions…
What is Feature Engineering FE is the process of applying domain knowledge to extract analytical representations from raw data, making it ready for machine learning. It involves the application of business knowledge, mathematics, and statistics to transform data into a format that can be directly consumed by machine learning models. It starts from many tables spread across disparate databases that are then joined, aggregated, and combined into a single flat table using statistical transformations and/or relational operations. Let’s say you are addressing a complex business problem such as predicting customer churn or forecasting product demand using applied machine learning. Assuming a team is in place and the business case identified, where do you start? The first step is to collect the relevant data to train the machine learning (ML) algorithms. This is usually followed by the selection of the appropriate algorithm or ensemble of algorithms. Choosing the right algorithm depends…
Today dotData is thrilled to announce dotData AI-FastStart™, our new exclusive program aimed at helping Business Intelligence professionals with the adoption of AI and Machine Learning (ML) powered Business Intelligence (BI) solutions - regardless of the amount of expertise or infrastructure readiness of the organization. With AI-FastStart™, BI teams can quickly move from zero to a fully operational AI/ML experience in ninety days (90) or less. AI-FastStart™ was born as a direct response to a rapidly changing BI & Analytics world. AI/ML has become a critical technology investment but most organizations still suffer from scaling AI/ML practices. BI+AI (a.k.a. citizen data scientists) is no longer a “nice to have” but must become the new approach to scale AI/ML for organizations. dotData AI-FastStart™ makes AI/ML adoption simple, easy and fast. The program was designed around four core principles: The right platform, education, providing fast time-to-value, and to be easy to deploy…
