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BRIDGEi2i Organizes AWS User Group Meetup on Computer Vision

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BRIDGEi2i is pleased to host Alex Smola – VP & Distinguished Scientist at AWS for an informative and hands-on learning session on Computer Vision GluconCV & D2L.ai BRIDGEi2i Analytics Solutions Contact. BANGALORE, May 14, 2019. on 18th May 2019 at the BRIDGEi2i auditorium. About BRIDGE i2i. www.BRIDGEi2i.com.

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Reimagining Possibilities & Demystifying Exponential Technologies: A Panel Discussion

bridgei2i

BRIDGEi2i played host to an engaging panel discussion with the authors of the Wiley Innovation Black Book on Exponential Technologies. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise. www.BRIDGEi2i.com.

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BRIDGEi2i Newsletter: Q2 2019 Recap

bridgei2i

For the second time in a row BRIDGEi2i has been featured as a representative vendor in Gartner Market Guide for Data & Analytics Service Providers. BRIDGEi2i is pioneering this massive shift from traditional people analytics to AI powered Talent transformation through its AI for Talent practice! BRIDGEi2i Analytics.

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BRIDGEi2i Newsletter: July 2019 Recap

bridgei2i

For the second time in a row BRIDGEi2i has been featured as a representative vendor in Gartner Market Guide for Data & Analytics Service Providers. BRIDGEi2i is pioneering this massive shift from traditional people analytics to AI powered Talent transformation through its AI for Talent practice! BRIDGEi2i Analytics.

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BRIDGEi2i Newsletter: Q1 2019 Recap

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BRIDGEfunnel is BRIDGEi2i’s AI-powered guided selling product that leverages advanced analytics expertise and proprietary algorithms in B2B sales transformation to accelerate the bottom-of-the-funnel sales process. BRIDGEi2i Analytics Solutions Contact. Read more here. Access the details of the quadrant here. Thought Leadership.

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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.