As data and analytics environments become increasingly complex, organizations can no longer afford to perform many operations manually. According to TDWI research, automation (in general) is one of the top three priorities for analytics. We see automation occurring throughout the data and analytics life cycle. Automation increasingly leverages embedded AI/ML algorithms (i.e., infused in the software) to help perform tasks such as profiling and cleansing data, identifying sensitive data, data mapping, surfacing insights, or building machine learning models.
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Data architectures for reporting and analytics continue to evolve as organizations transition from on-premises systems to the cloud. Organizations look to invest in high-performance, flexible, scalable, and future-proof data architecture. Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers and analytics tools.
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IBM
As organizations rush to innovate and modernize business with AI, one thing is clear. Just getting more insight in your business is no longer good enough. Your business needs fine-tuned foresight on what will happen next. At the heart of any prediction are production-ready models that are trustworthy, explainable and fully traceable. Furthermore, the ability to augment your data science and business teams with AI productivity and automation features is vital to business success. And, you need a simplified way of preparing and shaping data, building and training models and deploying them into production.
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actifio
The cloud provides tremendous flexibility and scalability to run primary workloads however, many customers still run workloads on-premises that require an effective and geo-redundant DR strategy. The flexible and operational cost-centric nature of the cloud provides a platform to deliver on-demand DR. Attend this session to learn the most common myths related to cloud DR, and how you can leverage the cloud to enable a cost effective DR strategy.
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