David Edri

About David Edri

David joined the GigaSpaces Product Team in 2024. He brings extensive experience as a Senior Product Manager and Solution Sales Engineer Manager in SaaS, Cloud, Big Data, AI, and Enterprise solutions, having worked with companies such as RAD, Audiocodes, and ControlUp.

How Multi-Agentic RAG Benefits Numerous Industries

By |March 27, 2025|Tags: |

Businesses in every industry face the challenge of managing and analyzing massive volumes of information. Whether itโ€™s tracking operational events, maintaining regulatory compliance, assessing financial risks, or responding to incidents, organizations need quick and efficient ways to retrieve relevant data and generate actionable insights. Many organizations have onboarded GenAI [...]

CAG, TAG or Multi-Agentic RAG? AI Strategies for Querying Structured Enterprise Data

By |March 18, 2025|Tags: |

Enterprises require the information located in their structured databases for decision-making, and to gain business insights. Unfortunately, querying this data comes with a host of challenges, from high latency and cost concerns, to complex data relationships. Organizations that have onboarded GenAI often discover that most modern foundation models arenโ€™t [...]

Navigating the EU AI Act: Why Real-Time Risk Detection is Essential for Compliance

By |January 7, 2025|Tags: , |

The emergence and subsequent ubiquity of artificial intelligence (AI) has forever changed how businesses operate, promising new ways to enhance efficiency, improve decision-making, and delight customers. However, these advancements come with a slew of risks and introduce significant challengesโ€”ranging from algorithmic bias to data privacy concernsโ€”that call for robust [...]

3 Strategies to Deliver Real-Time Data Solutions for High-Performance Applications

By |December 2, 2024|Tags: , |

In todayโ€™s digital landscape, enterprises face constant pressure to rapidly and cost-effectively launch new digital services that meet high user demands and manage complex data workflows.ย  Achieving these goals requires addressing two critical challenges:ย  Design-time efficiency: the ability to develop and deploy services quicklyย  Runtime performance: ensuring that those [...]

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