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BRIDGEi2i Named as LEADER in AIM’s Top Data Science Service Providers in India 2020

bridgei2i

BRIDGEi2i Analytics Solutions, a leading provider of AI-powered Analytics Solutions, announced that it had been recognized as a ‘LEADER’ among data service providers from a study by Analytics India Magazine(AIM). BRIDGEi2i Analytics Solutions Contact. BANGALORE/FREMONT, February 22nd, 2021. About BRIDGE i2i.

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BRIDGEi2i Recognized as Leader in AIM’s Top Data Science Service Providers in India Report, 2021

bridgei2i

BRIDGEi2i Analytics Solutions, a trusted partner to enterprises globally, announced its inclusion in the ‘Leader’ category of the latest Penetration & Maturity Quadrant (PeMa) study conducted by Analytics India Magazine. BRIDGEi2i Analytics Solutions Contact. Bengaluru, August 24, 2021. About BRIDGE i2i. www.BRIDGEi2i.com.

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BRIDGEi2i Newsletter: July 2021 Recap

bridgei2i

From being a pure-play analytics startup in a garage to a global AI partner for Fortune 500 companies… It’s been a remarkable and rewarding journey so far! The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real.

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The Future of AI in the Enterprise

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

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The Future of AI in the Enterprise

Jet Global

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

Just imagine how useful it would be in a non-analytical environment like a museum. And data pukes are not dashboards. They are data pukes. And I don't want you to think that the problem is that the above is a dashboard in a digital analytics tool and has just two graphs. So, I inspired one one above.