Analyst Profile

Peter Krensky

Sr Research Analyst

2 years at Gartner , 5 years industry experience
Boston, MA USA

Roles and Responsibilities

Peter Krensky is a Senior Research Analyst on the Business Analytics and Data Science team, specializing in data science and machine learning, including predictive and prescriptive analytics, citizen data science, augmented analytics, automated machine learning, DS/ML team structure and talent management, and AI for analytics.

Areas of Coverage

Business Intelligence

Peter Krensky's Recent Gartner Activity

Latest Research

Critical Capabilities for Data Science and Machine Learning Platforms
04-Apr-2018
How Data Science Teams Leverage Machine Learning and Other Advanced Analytics
09-Mar-2018
CSPs Must Restructure and Retool for Intelligence and Automation
28-Feb-2018

On-Demand & Upcoming Webinars

Machine Learning/AI: Hard Facts, Conclusions and Actions
15 November 2017
The Essentials of Data Science and Machine Learning
18 June 2018

Background

Previous Experience

Prior to joining Gartner, Mr. Krensky was a research analyst with Aberdeen Group. There he covered a broad spectrum of business intelligence topics, including advanced analytics, data discovery, self-service data preparation, sales and marketing analytics, data governance, and Hadoop. Before his time as an analyst, he spent a year living in Sao Paulo, Brazil, where he worked as an Operations Assistant for a reinsurance broker.

Professional Background

Aberdeen Group, Research Analyst, 4 years
Miller do Brasil, Operations Assistant, 1 year

Education

B.A., cum laude, History, Amherst College

Languages

English
Portuguese

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30 May 2018
Creating a Sustainable Strategy for Sourcing at Midsize Enterprises CIOs of midsize enterprises lack dedicated sourcing, procurement and relationship management resources. To remedy this, they must implement a pragmatic sourcing strategy that aligns with business goals, achieves the desired outcome of decisions, and leads to an understanding of the marketplace.
24 May 2018
The Resilience Premium of Digital Business: A Gartner Trend Insight Report Committing to resilience will equip your digital business with the mindset, resources and planning to recover from inevitable disruptions. Security and risk management leaders must deliver by building a culture of systemic resilience through viewing resilience as a premium and not as a cost.

20 Jun 2018
Innovate With Roadmaps for Process, Culture and Outcomes EDT: 9:00 a.m. | PDT: 6:00 a.m. | BST: 14:00 Navigating the ever expanding landscape of innovation approaches and practices can be intimidating. There is no one-size-fits-all solution. Rather, launching or improving an innovation competency is an act of design where you craft effective programs and processes from a set of approaches and activities. To get started with your innovation program, leverage the Gartner recommended designs that are based on four common innovation objectives. In this webinar, we cover these innovation designs, objectives, best practices, and case studies and share roadmaps you can apply at your organization.
21 Jun 2018
Data and Analytics Key Roles, Responsibilities, and Organization EDT: 9:00 a.m. | PDT: 6:00 a.m. | BST: 14:00 To succeed in digital business, data and analytics must be at the pulse of the organization and incorporated into all key decisions. As a result, new roles have emerged over the last few years and additional skills and competencies are required for existing roles. This webinar highlights the key roles and responsibilities in data and analytics and also the impact on the data and analytics organization model.