In 2024, organizations must embrace a good Data Strategy to remain competitive in the dynamic marketplace and demonstrate tangible impacts of their AI initiatives.…
Browsing: Data Quality
This article discusses the top 10 challenges to implementing generative AI, including bad data, legal restrictions, and the need for data management. It also…
Data Architecture is facing competing priorities in 2024, with organizations needing to find a balance between modernizing their data architectures to increase operational real-time…
AI has the potential to enhance the way people work and live. In 2018, NITI Aayog developed a National Strategy for Artificial Intelligence, #AI…
Predictive analytics is a widely used tool in marketing, with a CAGR of 21% and a global market of $23.9 billion by 2027. It…
Big Data tools and technologies offer a lifeline for developers looking to unlock the transformative potential of IoT applications. These tools provide solutions to…
Predictive analytics is increasingly being used in the financial industry to automate processes, improve forecast accuracy, and drive strategic decision-making that enhances business performance.…
Predictive analytics is a form of data analysis used by businesses to forecast changes in the market and user behaviour. It involves the implementation…
OpenAI’s large language model, ChatGPT, has been released for public use for almost a year, allowing people to experience the power of Artificial Intelligence…
The data arms race in the AI world is shaping the future of technology and innovation. Ensuring data quality, addressing model collapse and choosing…