That's a wrap on Day 2 of the Gartner Data & Analytics Summit in Sydney. Highlights include: ✅ A look into the foundations of AI ✅ Top data and analytics trends ✅ Future of data science and machine learning Learn more: GartnerDA Data Analytics
“Data observability provides broad visibility into an organization’s data landscape and multilayer data dependencies at all times, helping identify, control, prevent, escalate and remediate data outages rapidly within expectable SLAs.”
“Not every decision can or should be automated. Efforts to drive decision automation without considering the human role in decisions will result in a data-driven organization without conscience or consistent purpose.”Presented by Peter Krensky, Director Analyst, Gartner Gartner analysts said that leaders in technology innovation must take a risk-proportional approach to deliver AI value.Peter Krensky, Director Analyst at Gartner, discussed future AI initiatives and how organizations can improve current solutions at the Gartner Data & Analytics Summit in Sydney.By 2025, more than 55% of all data analysis by deep neural networks will occur at the point of capture in an edge system.
“Adopt a risk-proportional approach to deliver AI value, protecting your organization from potential financial loss, legal action and reputational damage.”
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