Esther Levine

About Esther Levine

Esther Levine joined Product Marketing at GigaSpaces in 2022, bringing 20 years of experience in software technology companies ranging from security, ERP, cloud computing, and media platforms, among others. Esther has a Bachelor of Science from the University of Toronto.

Beyond the Hype: Why ChatGPT 5.2 Needs a Semantic Layer to Survive the Enterprise

By |January 22, 2026|Tags: , , |

Key Takeaways ChatGPT 5.2 offers 70% success rates on various complex tasks compared to global white collar workers, but still struggles with business data. The MCP Limitation: MCP transmits raw data without transmitting understanding, leading to plausible but incorrect answers. The Danger of Close Answers: Without a semantic layer, [...]

How to Supersede Business Planning with GenAI, Operational Data & Crowd Wisdom

By |December 15, 2025|Tags: , |

Key Takeaways * RAG is Insufficient for Modern Enterprises: Standard RAG fails with complex business data due to blindness to structured data, latency at scale, and lack of sufficient governance. * The Semantic Layer is Key: This central data layer enables LLMs to think like a business, by mapping [...]

Operational Data vs. Analytical Data

By |January 22, 2025|Tags: , |

To formulate the correct business decisions, business requires high-quality data that is integrated in a variety of formats from different sources. Two of the main categories of data are analytical and operational. In this post we’ll explore what each of these types of data are, how they are used, [...]

Safely Engage with Structured Data Using Natural Language

By |December 19, 2024|Tags: , , , |

[player id='40148'] Imagine a financial analyst tasked with determining financial risk for the next quarter. Not a simple task, so as a financial analyst you would want to take advantage of the latest AI capabilities. Ideally, GenAI could quickly analyze large amounts of data to uncover valuable insights and trends, [...]

Enterprise Data Architecture Transformations Use Cases

By |September 5, 2024|Tags: , |

Effective enterprise data architecture transformations play a crucial role for organizations by addressing the complexities of modern data management. Organizations can unlock new insights, streamline operations, and gain a competitive edge by effectively redesigning their data infrastructure. This post explores three compelling use cases where successful enterprise data architecture [...]

The Rise of In-Memory Computing

By |July 3, 2024|Tags: , , , |

The adoption of In-Memory Computing is on the rise - estimated at 11.4B USD in 2020, it is expected to reach US$ 67.5 Billion by 2032, exhibiting a growth rate (CAGR) of 14.7% during 2024-2032. This can be attributed to the growing demand for faster processing and analytics, to [...]

Unlocking the Power of Real Time Data Processing

By |May 16, 2024|Tags: , , |

Businesses are dealing with three tectonic forces that are now challenging IT everywhere - digital transformation, channel proliferation and real-time AI-decision management. While both digital transformation and channel proliferation have been around for some time, real-time AI decision management is playing havoc with this shifting landscape. Businesses need new solutions [...]

Digital Integration Hub Architecture: Paving the way to an Agile Data-Driven Environment

By |April 24, 2024|Tags: , , , |

To deliver innovative digital services that provide responsive, enjoyable customer experiences, organizations need an agile, modern data environment. Since the data that these services require often resides in legacy infrastructure, organizations search for solutions that can adapt their existing IT architecture to a service-oriented environment that can manage huge [...]

Data Driven Retail to Meet High Digital Demands – Without Replacing Legacy Stacks

By |March 17, 2024|Tags: , , |

To stand out amidst fierce competition, retailers can distinguish themselves by delivering personalized, omnichannel shopping experiences. They can offer consumers new services quickly and consistently across all retail channels, with data-driven innovation. However, achieving this requires integrating a multitude of systems, and streamlining data and application management to meet the [...]

5 Top Data Terms

By |February 20, 2024|Tags: , , , |

The most popular data terms on our website and a few from other popular sites, reflect the current hot data topics. Here’s our list with some additional context.  Data fabric Data-driven organizations need to be able to utilize data in the most efficient way possible, enabling easy access and [...]

What’s In for ‘24 – Real Time Analytics, GenAI (Of Course), and the Revival of Microservices

By |January 3, 2024|Tags: , , |

New year, new tech. Here’s some insights into the new black, the resurgence of unlikely services, and a look at GenAI from a unique angle. Welcome 2024!  The revival of microservices to address challenges of high latency and low throughput Leading off with our first trend, the resurgence of [...]

Accelerating the Performance of Cat Models

By |December 7, 2023|Tags: , |

Floods, hurricanes and technical failures - all of these cause major destruction. The insurance industry relies on catastrophe modeling, using risk models that are either commercially available or home-grown, to estimate the potential losses resulting from catastrophic natural disasters. Probably due to climate change, catastrophic events are occurring more [...]

API Scaling vs Application Acceleration Technology: How and Why

By |November 30, 2023|Tags: , , |

While application acceleration and API acceleration have much in common, in fact they are two different ways to look at the same thing. In this post we will examine the nuances and differences between the approaches, taking into account different application topologies such as microservices based, monolithic, multi-tiered, employee [...]

Intelligent Applications and Machine Customers: Top Tech Trends

By |November 15, 2023|Tags: , , |

It’s almost Thanksgiving, and Gartner has published its Top Strategic Technology Trends for 2024. No surprise — AI figures in half of them. In this post we’ll take a look at three of these trends, Democratized Generative AI, Intelligent Applications and Machine Customers, and discuss the technological and organizational [...]

Maximizing Digital Twin Technology with a Data Hub

By |November 8, 2023|Tags: , , |

Organizations are on the lookout for innovative technology that can better serve customers, optimize their operations, and predict trends that detect potential threats or opportunities. Here, digital twin technology has much to offer. This technology creates a virtual replica of a physical object, system, or process. It requires a [...]

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