Leveraging AI in pockets across your business has the power to bring new outcomes—from gains in efficiency to productivity. But what if you could transform every aspect of your business and your industry at large?
Businesses struggle to realize the full value of their AI projects because they can’t move away from proofs of concept. Our latest research shows that organizations scaling AI effectively are seeing up to 3X the return on their investments, compared to non-scalers. That’s where Applied Intelligence comes in. It’s our unique approach to combining AI with data, analytics and automation under a strategic vision to scale AI and transform business—across every function and process.
Applied Intelligence has the roadmap to maximize existing investments and extend new technologies across your business. With deep AI experts and data scientists, plus the flexibility to work with almost any technology partner, we can help you evaluate, maximize and scale opportunities as they arise.
Terms such as Machine Learning, Analytics and Big Data have become a part of the commonly used language of the Advanced Data Analysis field, or Analytics in short. This field has received attention and acknowledgment in recent years and become recognized as a valuable asset for every organization in any sector.
Analytics have changed the way we approach data in organizations. In the past, organizational information was replicated and transformed to match a format of the organization’s database. In order to access and analyze that information users created queries, however, not all organizational data could be processed that way since the database only worked with structured data.
Nowadays, we know that the numbers and types of data sources available to us are enormous, and we must take the internal and external information into consideration in order to get the full picture.
The Data & Analytics practice provides holistic solutions by collecting ALL available data and directing it towards interesting issues by raising anomalies and trends in the data.
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