DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.
Cognitive technologies are being deployed to solve the world’s biggest challenges. AI-based bots are working side-by-side with humans to increase quality and efficiency. Here’s how enterprises can put cognitive AI to work in their organizations.
Knowledge workers will increasingly power the economy, but 19% of their time is spent looking for information. The pace of business demands that knowledge workers need access to trusted information, at the right time, through the right channel, in real-time. Scaling knowledge through people, process, and technology needs to be an imperative for all companies hoping to maintain cultural cohesion, improve productivity, and align cross-functional teams to deliver complex work.
AI centers of excellence can accelerate AI adoption — and organization-wide transformation — by consolidating talent, standardizing platforms, spreading successes across business lines, and uncovering new revenue models.
Salesforce's Einstein Analytics offering will be rebranded as Tableau CRM and Einstein's AI and machine learning capabilities will be integrated with the Tableau platform in a push to democratize data science.
Several large U.S. healthcare systems have teamed with Google and SADA to establish an open data platform to provide hospitals and government officials granular views of ICU and ventilator utilization at the local level.
Personalized customer experiences, automated business operations, and data science-driven insights all depend on the quality and volume of your data. However, while the last decade has been a rush to drill for data, it is becoming ever more important for brand trust and regulatory compliance for a data privacy strategy to be more than a policy on ethics. It needs to be an operational capability that organizations sustain in order to protect their customers, protect the company, and differentiate the brand value proposition.
Onboarding new institutional clients to the non-profit financial services provider's Outsourced Services was a highly complex and manual task, but a digital twin powered by a graph database has helped automate and streamline the process.
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