Validation

Jack Poller

Jack Poller

Jack Poller is an analyst covering cybersecurity at Enterprise Strategy Group drawing upon more than 25 years of industry experience across a broad range of storage, networking, and cloud-based products and markets.

Recent Posts by Jack Poller:

ESG Technical Validation: Efficient Efficacy with Morphisec Unified Threat Prevention Platform

Introduction

This ESG Technical Validation documents evaluation of Morphisec’s moving target defense-powered Unified Threat Prevention Platform. We focused on understanding the operational simplicity of the platform and the efficacy of its threat prevention capabilities.

Topics: Cybersecurity

ESG Technical Validation: Dell EMC Ready Solutions for AI: Deep Learning with Intel

Introduction

This ESG Technical Validation documents evaluation of Dell EMC Ready Solutions for AI: Deep Learning with Intel. We focused on understanding the performance, ease of use, and total cost of ownership (TCO) of the solution. To validate the full stack performance, we measured the number of tokens per second processed when training the Token2Token Big Transformer model and evaluated how Nauta, an open source initiative by Intel, accelerates deep learning model training. We also compared how Nauta simplifies the deep learning training process, and how the TCO of Deep Learning with Intel compares to running the same tasks on a leading public cloud AI service.

Topics: Data Platforms, Analytics, & AI

ESG Technical Validation First Look: Efficient Efficacy with Morphisec Advanced Threat Prevention Platform

Cybersecurity Challenges

The ever-increasing volume and velocity of threats has made cybersecurity one of the top IT concerns. However, IT’s drive to improve the business’ security posture is complicated by the global cybersecurity skills shortage. As a result, organizations evaluating their options for strengthening cybersecurity are seeking more efficient and effective tools. Indeed, according to ESG research, 46% of surveyed IT and cybersecurity decision makers ranked effectiveness as the most important consideration when investing in cybersecurity products or services—by far the most often cited consideration.2

Topics: Cybersecurity

ESG Technical Validation: Hybrid Multi-cloud Artificial Intelligence (AI): IBM Watson Studio and Watson Machine Learning

Co-Author(s): Tony Palmer


Introduction

ESG recently completed testing of IBM Watson Studio and Watson Machine Learning, which are designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio and Watson Machine Learning collect data, organize an analytics foundation, and analyze insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.

Topics: Data Platforms, Analytics, & AI