Becoming a data-driven company isn't as simple as amassing loads of data. If it were, more companies would already be reaping the rewards. Here, four CIOs offer their experience and advice on getting started turning data into business value.
CIO Mike Adams shares how the company has designed its digital and data platforms to put the customer at the center of its products, services, and digital ecosystem, underpinned by enterprise architecture.
Environmental, social and governance (ESG) issues are now a top board concern, with employees and investors alike expecting companies to take an active role in improving society. CIOs have an opportunity to flex their data management expertise, serving as a trusted advisor on the quality and value of ESG data.
CIO Justin Kershaw describes what he looks for in his senior leaders and how the $114 billion agriculture company uses data from low-Earth orbit satellites and distributed ledger technology to bring transparency to the food supply chain.
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.
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