Data Management
How to use MLOps for an effective AI strategy
87% of machine learning projects fail to make it into production. Deploying ML models in business use cases involves working around several…
Cloud data warehouse is the future of data storage
Big data storage with cloud – doubling down on the opportunities The last decade has seen the rapid growth of cloud adoption…
Unlocking eCommerce growth for CPG with data and analytics
CPG Ecommerce opportunities in the new normal The COVID-19 pandemic has compelled businesses to shift to virtual marketplaces and CPG has been…
Proven methods to reduce AWS cloud infrastructure cost
As organizations grow, so does their data and the costs associated with handling data. With the advancement in data engineering services, cloud…
How to improve marketing ROI using Multi-touch Attribution for CPG brands
Reports suggest that the consumer packaged goods (CPG) industry will increase 5.2% to $19.40 billion in 2020, making it the third-largest spender…
Quantum Computing: Implementing QSVM in IBM Q
In our previous blog here we have explained the Quantum supremacy experiment. If you are not familiar with Quantum gates, QISKIT, and…
5 best practices for deploying Machine Learning models
In our previous article – 5 Challenges to be prepared for while scaling ML models, we discussed the top five challenges in…
5 challenges of scaling Machine Learning models
Machine learning on big data has opened the door to new opportunities to achieve business goals. It facilitates better ML modeling including…
GPT-3: All you need to know about the AI language model
What is GPT-3? The launch of Open AI’s third generation of the pre-trained language model, GPT-3 (Generative Pre-training Transformer) has got the…