Gartner
• The top ten strategic data and analytics technology trends and what they enable. How these trends enable you to build an intelligent and emergent data and analytics portfolio of capabilities that scale to the needs of digital business. Why these trends are growing and having an impact now. How these trends will change your organization, data and analytics program and skills needed. Strategic technology trends have significant disruptive potential over the next 5 years. You must examine your business impacts of these trends and appropriately adjust investments, business models and operations or else your company is at risk of losing competitive advantage to those who do. Data and analytics leaders cannot afford to ignore these 2019 top data and analytics trends.
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Compliance and regulatory mandates don’t make data protection easier, but they are a “must do” for every enterprise. From personal identifiable information to patient records, how you handle and manage backups and recovery of security-sensitive data can put your enterprise at risk. Thankfully, today’s modern data protection solu
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Why is it that 80% of enterprises fail to scale AI? Data scientists face operational, collaborative and infrastructure complexities at each step of the ML lifecycle. MLOps practices have the ability to solve many ML operational concerns such as project deployment, testing, serving and monitoring. In this webinar, Yochay Ettun, CEO and Co-founder of cnvrg.io will discuss the ways that MLOps solutions empower data scientists to successfully operationalize ML by applying DevOps principles to the ML lifecycle.
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From micromobility to last-mile delivery, mobility and transportation use cases are inherently geospatial. Whether you’re planning expansion into a new city or territory or optimizing rider / fleet operations, mobility companies are turning to spatial analytics to find greater profitability in a time of rapidly rising costs and fluctuating consumer demand.
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