AI continues to flirt with all aspects of the business, leading organizations to hastily adopt new and emerging technologies. However, it's important to note that while the possibilities seem endless, it's time to move well beyond pilots and proofs of concept to the scaled deployment and operational impact of AI. To help readers gain a greater understanding about this complex area of information technology, the solutions available, and their role in handling real-world challenges, DBTA and Big Data Quarterly present the list of Awesome Companies in AI.
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Change is happening, and it's happening so fast that even the most seasoned data managers and professionals can't keep up. New technologies, along with new approaches to data management, are restructuring—and reimagining—data-related jobs. Industry leaders are expressing astonishment at the speed in which the data world is changing. "I'm witnessing something that's going to make everything different," said Milan Parikh, lead enterprise architect at Cytel.
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Let's be honest—today's businesses are drowning in data but starving for actionable insights. Having navigated the complexities of marketing analytics, I've seen firsthand how organizations struggle to transform the flood of digital information into actionable metrics that drive meaningful results.
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If you're reading this, you're likely an expert in something database related. You know everything there is to know about SQL, Microsoft Azure, data analytics, maybe more. Perhaps you're an IT specialist who knows your company's digital infrastructure from end to end. If you've spent some years in your role, you've realized that, in addition to your technical know-how, you've probably had to develop another set of skills—interpersonal ones.
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