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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing? What is AI marketing?

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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. These reports aim at informing managers of different aspects of the business, in order to help them make better-informed decisions. In The Beginning, Financial Reports.

Reporting 263
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Three Tips For Choosing The Right AI Business Model

bridgei2i

Three Tips For Choosing The Right AI Business Model. The current breakthroughs in AI are revolutionizing the business landscape significantly. The omnipresence of AI is creating new business models which differ starkly from the traditional ones. AI is transforming the dynamics of business.

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Take Advantage Of The Top 16 Sales Graphs And Charts To Boost Your Business

datapine

Well friend,” he says, “I have about three or four minutes before I have to get out of here. Feritta, what’s the number one mistake you see small businesses making in the modern economy?”. We used this little story to draw you in and illustrate how even the highest echelons of business are focused on knowing your numbers.

Sales 235
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Data architecture strategy for data quality

IBM Big Data Hub

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. How the right data architecture improves data quality. What does a modern data architecture do for your business?

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. trillion in value. .”

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AI Product Management After Deployment

O'Reilly on Data

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.