
Ushering the Potential of AI and Big Data in Businesses
With the proliferation of smart technologies and analytics, companies are increasingly realizing the potential of artificial intelligence (AI) and big data. Enterprises are witnessing the growing consensus that AI and big data are closely interweaved, thereby the increasing amount and availability of data is empowering AI initiatives in enterprises. Organizations today have huge volumes of data at their disposal that can feed to determine behaviors and detect patterns and anomalies. Business executives observe that investments in the AI and analytics area besides big data have started to yield significant results. Leveraging the melded competence of AI and big data, organizations can now considerably boost their decision-making capabilities, reduce expenses, and achieve a much higher success rate.
Amalgamating artificial intelligence and big data, enterprises have discovered the most crucial factor that is molding the future of companies aiming to enhance their business value with their analytics and data. The benefits of AI and analytics that have been long overdue due to the lack of data availability, insufficient sample sizes, and inability to assess cascades of data, are now reaped by companies with the help of the two most advanced technologies. Accessing massive data volumes with agility has resulted in the rapid evolution of the big data apps and machine learning. Big data enables companies to experiment more, learn faster, and scale swiftly, allowing them to fail fast and learn faster. Besides, businesses are utilizing the power of AI to accelerate time-to-market for their upcoming products and services and improve customer experience. AI and big data have truly emerged as disruptive technologies that play a major role in ensuring that a company stays ahead of their competitors.
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Next Level Business Services (NLB): Applying Digital Transformation to Create Supply & Service Value Chains of the Future
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FileFacets: A One-stop Solution for Locating and Identifying Data Across the Enterprise
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