Dainius Kniuksta lives in Copenhagen (Denmark) and works as a Artificial Intelligence Product Lead at Forecast. Dainius is a tech enthusiast with more than 15 years of digital product and platform management, strategy, development, team leadership, and PSA / log-tech / ad-tech focused Artificial Intelligence and Machine Learning experience in global companies like Maersk, Adform, and Sermo.

Forecast is the work intelligence company that is delivering an AI-native platform for profitable project & resource management. The platform automates busywork, surfaces best practices, predicts outcomes, guides projects to success, and most importantly empowers every team member to do their best work.

Topics that we talk about include:

• Introduction to Forecast and its integrated intelligence
• Data that is collected and analysed at Forecast e.g. projects, budgets, scope, time, people
• Data & AI-driven use-cases at Forecast e.g. reporting, warnings, similarity of tasks, work anomaly, burnout, 
• Insights that can be taken from using Forecast related to people management, suitability (80% of accuracy currently), passion, career paths
• Tech, data & MLOps stack used to develop ML/AI models at Forecast e.g. NLP libraries, Google Bard, AWS, SageMaker, TensorFlow. Amplitude, home-grown solutions.
• Trends in people management, power of AI, AI vs. humans
• Using Forecast measure the adoption of AI tools in the tasks and projects
• Definition of the AI Product Lead role and his/her daily work at Forecast

The podcast was recorded by Adam Kawa (GetInData). Find more about our data, analytics, cloud, and MLOps projects and services at getindata.com or contact us using [email protected].

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