By Rajaram Venkataramani, Chief Architect Moving up the MLOps maturity curve delivers faster, more accurate answers to business problems. Whether your goal is to improve the customer experience, your operational efficiency or safeguard the public from threats, artificial intelligence and machine learning (AI/ML) can uncover trends and insights that would otherwise be impossible to find. Deploying AI/ML quickly and at scale delivers the fastest…

By Jennifer Herz, Gautham Nagabhushana, Jean-Louis Arsenault, Juan Rosa Medina Touzard and Bharanidharan Sridharan The handwriting is now on the wall. After lagging industries like life sciences and banking, insurance is fully embracing artificial intelligence/machine learning and exploring the possibilities[i]. Insurers need to take the first step to recognize the…

By Nate Greenhunt, Client Solutions Executive With the rise in bank fraud, fraudsters are targeting bank customers in an attempt to fool them into revealing their confidential banking details, sometimes even using advanced AI algorithms such as evolutionary computation of their own. Scams like ATM card skimming and mobile SIM…

By Syed Abdul Sathar Syed Allaudeen, Data Scientist & AI Lead RStudio to S3/Redshift connectivity must be established to get the best ROI from the existing analytical investments (R models) and to stay relevant with the technology shift (AWS S3/Redshift). R is one of the oldest and most powerful languages/environments for statistical computing and graphics. Many companies have developed predictive models using R and continue to use them in their operations. As part of cloud migration, these models need…

By Risto Miikkulainen, AVP of Evolutionary AI Neuroevolution — the evolution of neural networks — is a general set of techniques that have been actively researched since the 1990s, well before deep learning. Many of the ideas in Evolutionary AutoML originate from general neuroevolution research — and now that we…

By Karthik Balakrishnan Gopalakrishnan and Avisek Mohanty Here’s how to fast-track value creation right now. The ability to make fast, data-driven decisions has never been more valuable as businesses grapple with the shift toward hyper-personalisation, driven by rapidly changing customer behaviours and expectations. The pandemic has accelerated the imperative for businesses to invest in Artificial Intelligence (AI) and Machine Learning (ML) so they can replace…

By Huw Kwon, Vice-President and Anil Eknath Sonavane, Senior Director Addressing common obstacles — from delivery transformation to human-centric challenges. This is the third instalment in a series on how organization’s can embrace AI specifically around conversational AI and hyper-personalization. The first issue discusses AI: Leveraging Superior Customer Experiences and the second focuses on Harnessing AI.

By Fabian Dupuis, Director AI & Analytics Second part in our Leveraging Superior Customer Experience series. To leverage exemplary customer service with AI, businesses need to see the human side of individual customers. The first part of the story, “AI: Leveraging Customer Experiences” can be found here. Hyper-Personalization What time of…

By Gregory Verlinden, AVP AI and Analytics By intelligently combining AI technology and human science, businesses can reinvent their decision-making processes to excite customers and grow revenue. Many missteps have been made with transformation initiatives over the past decade, partly because businesses struggle with data sourcing and data management. Data…