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Are You Wasting Time Developing AI for Your BI Stack?

By Sachin Andhare

Harvard Business Review recently published interesting research findings from Accenture. The research shed light on how 1500 C-suite executives across 16 industries in 12 countries think about AI. The survey concluded that while most C-suite executives recognize the need to integrate AI capabilities, many fail to move beyond the PoC stage. According to the research, three out of four executives believe they risk going out of business entirely if they don’t scale AI. The authors espoused a radical idea of killing the PoC and jumping straight to scale. But how do you move beyond AI experiments? What tools do you need to successfully implement AI at scale? According to Accenture research, companies that are succeeding with AI are doing three critical things: 1)Pivoting from PoCs to pilots, 2) Committing to action, and 3) Ensuring the right team is in the right place from the very start. At dotData, we believe…

dotData’s AI-FastStart™ Program Helps BI teams Adopt AI/ML with AutoML 2.0

By Walter Paliska

Today dotData is thrilled to announce dotData AI-FastStart™, our new exclusive program aimed at helping Business Intelligence professionals with the adoption of AI and Machine Learning (ML) powered Business Intelligence (BI) solutions - regardless of the amount of expertise or infrastructure readiness of the organization. With AI-FastStart™, BI teams can quickly move from zero to a fully operational AI/ML experience in ninety days (90) or less. AI-FastStart™ was born as a direct response to a rapidly changing BI & Analytics world. AI/ML has become a critical technology investment but most organizations still suffer from scaling AI/ML practices. BI+AI (a.k.a. citizen data scientists) is no longer a “nice to have” but must become the new approach to scale AI/ML for organizations. dotData AI-FastStart™ makes AI/ML adoption simple, easy and fast.  The program was designed around four core principles: The right platform, education, providing fast time-to-value, and to be easy to deploy…