With the recent release of version 1.0 in March 2022, FLAML, Microsoft's open source AutoML library takes a big leap towards productive usage. Fast progress on fast AutoML When FLAML started in late 2020, the first release includes hyperparameter and sample size methods. For example, developers added "cost frugal

Does your organization lose customers quicker than expected? This article outlines frequent reasons for user churn to get you started on minimizing customer attrition in 2023. Read to the end to learn about a modern approach for customer retention. Not the right topic? Find out about AI-based business solutions

When it comes to data analytics, organizations have a choice between using cloud-based or on-premise solutions. While cloud-based solutions have gained popularity in recent years, there are still many compelling reasons to follow an on-premise approach for data analytics. In this article, we will explore some of the key

Onboarding a new software can be a daunting task for any organization, but it is critical for ensuring a smooth transition and maximizing the value of the new software. In this article, we will outline the key steps that organizations should take to onboard a new software successfully. Define

Small and medium enterprises (SMEs) face a range of challenges when it comes to adopting artificial intelligence (AI) technologies. While larger organizations have the resources and expertise to develop and implement AI solutions, SMEs often lack the same level of technical expertise, financial resources, and access to data. In

Machine learning (ML) is a powerful tool that can help businesses and organizations to make better decisions, automate processes, and improve efficiency. However, like any powerful tool, ML also comes with risks that must be understood and managed. In this article, we will explore some of the risks associated

Machine learning (ML) is a subset of artificial intelligence that focuses on the development of algorithms and models that can learn and improve over time without being explicitly programmed. One of the most promising applications of ML is sales forecasting, which involves using historical data and other factors to

Machine learning (ML) is a field of artificial intelligence that enables computer systems to learn and improve from experience without being explicitly programmed. It has emerged as a powerful tool for businesses to better understand their customers and make data-driven decisions. One of the most promising applications of ML

Machine learning (ML) is a rapidly growing field that has revolutionized the way businesses operate. ML software utilizes algorithms that can learn from data, identify patterns, and make predictions or decisions without human intervention. One of the most valuable applications of ML is customer lead classification, which helps businesses