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Analytics

Building Airtight Data Security Architecture in Growing Businesses

In the second installment of Mavericks of Data, we have an engaging discussion with Mahesh Krishnan, CTO of Fujitsu Australia and innovator, thought leader, author, speaker, and passionate technologist who has over 30 years of experience in the IT sector. Mahesh talks about his role within Fujitsu, the recent developments and key considerations in data security, setting up data security within growing businesses and the challenges revolving around data sensitivity.

Snowflake's Annual Modern Marketing Data Stack Report: Talend Being Named a "Leader in Integration and Modeling" is Just the Beginning

With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good information around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.

Snowflake CDP: The Future of Customer Data Management

In today's fast-paced digital landscape, harnessing the power of data has become paramount for businesses striving to deliver exceptional customer experiences and stay ahead in the competitive market. At the forefront of this data revolution stands Snowflake CDP, an innovative Customer Data Platform (CDP) that promises to redefine how businesses manage, integrate, and leverage their customer data.

FinOps Camp Episode 3: Considerations for Mapping your FinOps Adventure

FinOps Camp Episode 3: Considerations for Mapping your FinOps Adventure Program elements, use cases, and principles to manage cloud data costs Join SanjMo Principal and Founder Sanjeev Mohan and Unravel VP of Solutions Engineering Chris Santiago as we share considerations for mapping your FinOps Adventure.Creating a solid FinOps strategy is crucial to navigating the rapidly-evolving world of cloud services.

MLOps Live #24: How to Build an Automated AI ChatBot

In this MLOps Live session, Gennaro, Head of Artificial Intelligence and Machine Learning at Sense, describe how he and his team built and perfected the Sense chatbot, what their ML pipeline looks like behind the scenes, and how they have overcome complex challenges such as building a complex natural language processing ( NLP) serving pipeline with custom model ensembles, tracking question-to-question context, and enabling candidate matching.